| 202 |
Visualization of Data Structures and Algorithms |
Awesome visualization of Data Structures and Algorithms |
https://www.cs.usfca.edu/~galles/visualization/Algorithms.html |
|
Notes,Other,Tool |
All Levels |
Joanna Pol |
January 2, 2021 |
| 203 |
Artificial Intelligence Expert in 2020 |
Roadmap to becoming an Artificial Intelligence Expert in 2020 |
https://github.com/AMAI-GmbH/AI-Expert-Roadmap |
|
GitHub,Notes,Tips |
Beginner |
Joanna Pol |
January 2, 2021 |
| 204 |
These students figured out their tests were graded by AI — and the easy way to cheat |
As COVID-19 has driven schools around the US to move teaching to online or hybrid models, many are outsourcing some instruction and grading to virtual education platforms, they use tests graded by AI — and the easy way to cheat |
https://www.theverge.com/2020/9/2/21419012/edgenuity-online-class-ai-grading-keyword-mashing-students-school-cheating-algorithm-glitch |
|
Article |
All Levels |
Joanna Pol |
January 2, 2021 |
| 205 |
Introduction to the TensorFlow Challenges |
TensorFlow is an open source framework developed by the Google Brain team aimed to make the powers of machine learning and neural networking easier to use. The following lectures were created by Tim Ruscica, otherwise known as “Tech With Tim” from his educational programming YouTube channel. They will help you to understand TensorFlow and some of its capabilities. |
https://www.freecodecamp.org/learn/machine-learning-with-python/tensorflow/ |
|
MOOC |
Beginner |
Daniel Montilla |
January 2, 2021 |
| 206 |
Data Science Math Skills |
This course is designed to teach learners the basic math you will need in order to be successful in almost any data science math course and was created for learners who have basic math skills but may not have taken algebra or pre-calculus. Data Science Math Skills introduces the core math that data science is built upon, with no extra complexity, introducing unfamiliar ideas and math symbols one-at-a-time. |
https://www.coursera.org/learn/datasciencemathskills |
|
MOOC |
Beginner |
Daniel Montilla |
January 2, 2021 |
| 207 |
Innovations in Investment Technology: Artificial Intelligence |
On this course, you’ll explore how technology has changed the way we invest money. You’ll consider the evolution of AI-driven online wealth management platforms, robo-advisors, and learn how they work and why they’re successful. |
https://www.coursera.org/learn/invest-tech |
|
MOOC |
Beginner |
Daniel Montilla |
January 2, 2021 |
| 208 |
180 Data Science and Machine Learning Projects with Python |
An article with links for 180 data science and machine learning projects solved and explained with python. |
https://medium.com/coders-camp/180-data-science-and-machine-learning-projects-with-python-6191bc7b9db9 |
|
Article |
All Levels |
Daniel Montilla |
January 2, 2021 |
| 209 |
Artificial Intelligence (AI) |
Learn the fundamentals of Artificial Intelligence (AI), and apply them. Design intelligent agents to solve real-world problems including, search, games, machine learning, logic, and constraint satisfaction problems. |
https://www.edx.org/es/course/artificial-intelligence-ai |
|
MOOC |
Advance |
Daniel Montilla |
January 2, 2021 |
| 210 |
AI - get started |
How get started-ai. What should I read? What should I watch? What should I do? |
https://opensource.com/article/18/12/how-get-started-ai |
|
Article,Tips,Other |
Beginner |
Joanna Pol |
January 2, 2021 |
| 211 |
Learning AI |
Steps to get started learning artificial-intelligence |
https://favouriteblog.com/six-easy-steps-to-get-started-learning-artificial-intelligence/ |
|
Article,Tips |
|
Joanna Pol |
January 2, 2021 |
| 212 |
Script Lesson 4 |
Again I wrote a detailed script for Lesson 4 :) |
|
04_Lesson - Build a Model.pdf (https://dl.airtable.com/.attachments/7faa90b4f57432847c07ed282b70da03/35214db3/04_Lesson-BuildaModel.pdf) |
Notes,Other,Cheat Sheets |
All Levels |
Julia from Vienna |
January 3, 2021 |
| 213 |
Generative Adversarial Network (GANs) |
The GANs Zoo, shows an updated List |
https://github.com/hindupuravinash/the-gan-zoo |
|
GitHub |
All Levels |
Zahra'a HM |
January 4, 2021 |
| 214 |
GANs: Generative Adversarial Networks |
This survey shows the latest updates in Generative adversarial network (GANs). |
https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=8667290 |
|
Research Paper |
All Levels |
Zahra'a HM |
January 4, 2021 |
| 215 |
Statistics |
A visual introduction to probability and statistics. |
https://seeing-theory.brown.edu/ |
|
Article,Cheat Sheets,Tutorial,Other |
Beginner |
Sebastián |
January 4, 2021 |
| 216 |
Deep Learning |
Deep Learning for Coders with fastai and PyTorch |
https://www.oreilly.com/library/view/deep-learning-for/9781492045519/ |
|
Book |
Beginner |
Joanna Pol |
January 4, 2021 |
| 217 |
Bertelsmann Scholarship- how to start - mind map |
I prepared a mind map with visual instructions, links and information, where and what help you can get, and how you can catch up |
|
update 28_12_start_bertelsmann.pdf (https://dl.airtable.com/.attachments/6efd371dbda827be797065ef77687bb8/71531a09/update28_12_start_bertelsmann.pdf),update 28_12_start_bertelsmann.png (https://dl.airtable.com/.attachments/0432c52ec62e7224c50422f4e8d5ee60/92926569/update28_12_start_bertelsmann.png) |
Notes,Other,Tips |
All Levels |
Joanna Pol |
January 4, 2021 |
| 218 |
MongoDB |
A free tutorial from MongoDB university M320: Data Modeling with certificate very important in Modeling text-based databases for APIs. |
https://university.mongodb.com/courses/M320/about |
|
Tutorial |
Advance |
Ahmed Gamal |
January 5, 2021 |
| 219 |
Pytorch |
Pytorch tutorials for deep learning beginners from pytorch.org |
https://pytorch.org/tutorials/ |
|
Tutorial |
Intermediate |
Ahmed Gamal |
January 5, 2021 |
| 220 |
The AI Podcast |
The AI podcast, presented practical applications of ML . Its a great resource for any levels of people interested in ML |
https://soundcloud.com/theaipodcast |
|
Video |
All Levels |
Benjamin Gomado |
January 5, 2021 |
| 221 |
Confusion Matrix |
Make the Confusion Matrix Less Confusing, tips |
https://machinelearningmastery.com/confusion-matrix-machine-learning/ |
|
Tips,Article,Notes |
All Levels |
Joanna Pol |
January 6, 2021 |
| 222 |
Confusion Matrix |
What is Confusion Matrix, structure, how to create code for Confusion Matrix in Python |
https://www.analyticsinsight.net/demystifying-confusion-matrix/ |
|
Article,Tips |
All Levels |
Joanna Pol |
January 6, 2021 |
| 223 |
Deep Learning with Python |
Learn deep learning with python, this is one of the best resources online. It contains book, notes, codes and video lectures |
https://d2l.ai/ |
|
Book,Tutorial,Video,Other |
All Levels |
Joanna Pol |
January 6, 2021 |
| 224 |
Data Science |
Cheatsheets for Data Science |
https://www.kaggle.com/joydeb28/awesome-data-science-cheatsheet#Big-Data |
|
Cheat Sheets |
Beginner |
Joanna Pol |
January 6, 2021 |
| 225 |
Machine Learning Algos |
Machine Learning Algos Cheatsheet |
|
Machine Learning Algos Cheatsheet.pdf (https://dl.airtable.com/.attachments/b6747ba0189cd23e577494a510a124ea/c580de9c/MachineLearningAlgosCheatsheet.pdf) |
Cheat Sheets,Other |
All Levels |
Joanna Pol |
January 7, 2021 |
| 226 |
Artificial Neural Networks In Linguistic Data Processing |
7 Types Of Artificial Neural Networks In Linguistic Data Processing. What is meant by an artificial neural network? How does it work What are the types of artificial neural networks? |
https://bostonhitech.com/2020/12/30/7-types-of-artificial-neural-networks-in-linguistic-data-processing/top-technology-news/admin/?doing_wp_cron=1610019483.8157188892364501953125 |
|
Article |
All Levels |
Joanna Pol |
January 7, 2021 |
| 227 |
Python |
Newletter Subscripton Python Weekly |
https://www.pythonweekly.com/ |
|
Other |
All Levels |
Alexa.N. |
January 7, 2021 |
| 228 |
Annotated Data for Machine Learning |
How to Get Annotated Data for Machine Learning? |
https://lionbridge.ai/articles/how-to-get-annotated-data-for-machine-learning/ |
|
Article,Tips |
Beginner |
Joanna Pol |
January 8, 2021 |
| 229 |
AI model vs carbon emission |
AI model vs carbon emission |
https://www.technologyreview.com/2019/06/06/239031/training-a-single-ai-model-can-emit-as-much-carbon-as-five-cars-in-their-lifetimes/ |
|
Article |
All Levels |
Joanna Pol |
January 8, 2021 |
| 230 |
Script Lesson 05 Part 1 |
Script Lesson 05 Part 1 |
|
05.1_Lesson - Measuring Impact and Updating Models.pdf (https://dl.airtable.com/.attachments/380d0b30c3ca6cecfc047f967bd6d508/9da7164b/05.1_Lesson-MeasuringImpactandUpdatingModels.pdf) |
Cheat Sheets,Notes,Other |
All Levels |
Julia from Vienna |
January 8, 2021 |
| 231 |
AI project ideas topics for beginners |
Exploring some interesting Artificial Intelligence project ideas which beginners can work on to put their Python knowledge to test. In this article, you will find 16 top Artificial Intelligence project ideas |
https://www.upgrad.com/blog/top-artificial-intelligence-project-ideas-topics-for-beginners/ |
|
Article,Other,Tips |
Beginner |
Joanna Pol |
January 10, 2021 |
| 232 |
Free must read books-machine learning |
Some of the best machine learning books for beginners freely available online (in pdf format) to download |
https://favouriteblog.com/10-free-must-read-books-machine-learning/ |
|
Article,Book |
Beginner |
Joanna Pol |
January 10, 2021 |
| 233 |
Mathematics for Machine Learning |
All the math needed in one place |
|
mml-book.pdf (https://dl.airtable.com/.attachments/c4eb2197fa76058cdc76e425d9633dd0/6303d599/mml-book.pdf) |
Book,Other,Tips |
All Levels |
Joanna Pol |
January 11, 2021 |
| 234 |
Data Science Machine Learning |
Machine Learning and Data Science cheat sheets |
https://www.theinsaneapp.com/2020/12/machine-learning-and-data-science-cheat-sheets-pdf.html?m=1 |
|
Cheat Sheets,Other,Notes |
All Levels |
Joanna Pol |
January 11, 2021 |
| 235 |
Python Machine Learning Projects |
Python Machine Learning Projects |
|
Machine Learning Projects.pdf (https://dl.airtable.com/.attachments/00011694fef7f180f5e01319ec57d017/e2191d2d/MachineLearningProjects.pdf) |
Book |
Intermediate |
Joanna Pol |
January 11, 2021 |
| 236 |
Machine Learning Project Ideas |
Machine Learning Project Ideas |
https://data-flair.training/blogs/machine-learning-project-ideas |
|
Article,Tips,Other |
All Levels |
Joanna Pol |
January 11, 2021 |
| 237 |
VIP CheatSheets in ML,DL,AI, data science. |
VIP CheatSheets in ML,DL,AI, data science. Well organized, easy-to-digest study guides with visualizations& animations |
stanford.edu/~shervine/ |
|
Cheat Sheets |
All Levels |
Zahra'a HM |
January 11, 2021 |
| 238 |
Linear algebra |
This in-depth course with 34 lectures by MIT will help you get started with it Down pointing backhand index |
https://ocw.mit.edu/courses/mathematics/18-06-linear-algebra-spring-2010/video-lectures/ |
|
Tips,Tutorial,Video |
Intermediate |
Joanna Pol |
January 12, 2021 |
| 239 |
Script Lesson 5 part 2 |
This is the last script for the whole 5 lessons! |
|
05.2_Lesson - Case Study Video Annotation.pdf (https://dl.airtable.com/.attachments/adcceab34ff35d0d9e59b969a4659fe7/d102d0ad/05.2_Lesson-CaseStudyVideoAnnotation.pdf) |
Cheat Sheets,Notes,Other |
All Levels |
Julia from Vienna |
January 12, 2021 |
| 240 |
Python for Data Analysis 2nd Edition |
This book is concerned with the nuts and bolts of manipulating, processing, cleaning, and crunching data in Python. |
|
Python-for-Data-Analysis-2nd-Edition.pdf (https://dl.airtable.com/.attachments/8d05cedb05072d20a6a67472f6d4155f/24b4545b/Python-for-Data-Analysis-2nd-Edition.pdf) |
Book,Tips |
All Levels |
Joanna Pol |
January 13, 2021 |
| 241 |
Artificial Intelligence for Robotics |
Class will teach students basic methods in Artificial Intelligence, including probabilistic inference, planning and search, localization, tracking, mapping and control, all with a focus on robotics. |
https://classroom.udacity.com/courses/cs373 |
|
MOOC |
Beginner |
Chromilo Amin |
January 13, 2021 |
| 242 |
Recurrent Neural Networks |
A friendly introduction to Recurrent Neural Networks |
https://www.youtube.com/watch?v=UNmqTiOnRfg |
|
Video |
All Levels |
Joanna Pol |
January 14, 2021 |
| 243 |
AI, Human Intelligence |
"Humans Won't Be Able to Control Artificial Intelligence, Scientists Warn" Some smart robots can perform complex tasks on their own, without the programmers understanding how they learned them. |
https://www.entrepreneur.com/article/363284 |
|
Article |
All Levels |
Joanna Pol |
January 14, 2021 |
| 244 |
Entire Computer Science Curriculum |
Entire Computer Science Curriculum in 1000 YouTube Videos/ Laconicml |
https://laconicml.com/computer-science-curriculum-youtube-videos/ |
|
Other,Video |
All Levels |
Joanna Pol |
January 15, 2021 |
| 245 |
Python |
Beginner Level Python book. |
|
Paul Barry - Head First Python.pdf (https://dl.airtable.com/.attachments/41db5f6caf47add62c8a2540f51dfc45/c9e01372/PaulBarry-HeadFirstPython.pdf) |
Book |
Beginner |
Samet Aydın |
January 15, 2021 |
| 246 |
Statistics |
It's a good resource I used in statistics lesson. |
|
Dawn Griffiths - Head First Statistics.pdf (https://dl.airtable.com/.attachments/2be6c026e073a1a4fec97f97e3abbc47/80fc646e/DawnGriffiths-HeadFirstStatistics.pdf) |
Book |
Intermediate |
Samet Aydın |
January 15, 2021 |
| 247 |
Numpy |
Some exercises in Numpy |
|
Numpy exercises.pdf (https://dl.airtable.com/.attachments/acdb16caadcad8bc25df4f539b5dc26b/55ad4a67/Numpyexercises.pdf) |
Cheat Sheets,Notes |
Beginner |
Samet Aydın |
January 15, 2021 |
| 248 |
ML and Data Science Cheat Sheet |
Nice tips and notes. |
https://www.theinsaneapp.com/2020/12/machine-learning-and-data-science-cheat-sheets-pdf.html?m=1 |
|
Cheat Sheets,Notes,Tips |
Intermediate |
Samet Aydın |
January 15, 2021 |
| 249 |
Machine Learning |
Machine Learning Course |
https://jovian.ai/learn/machine-learning-with-python-zero-to-gbms |
|
Other,Tutorial,Video |
All Levels |
Samet Aydın |
January 15, 2021 |
| 250 |
Helen Dataset |
The resulting dataset consists of 2000 training and 330 test images with highly accurate, detailed, and consistent annotations of the primary facial components. |
http://www.ifp.illinois.edu/~vuongle2/helen/ |
|
Other |
All Levels |
Samet Aydın |
January 15, 2021 |
| 251 |
Machine Learning |
Andrew NG- Machine Learning Yearning |
|
Andrew Ng - Machine Learning Yearning (Draft Version).pdf (https://dl.airtable.com/.attachments/bb1e08913e5ca8aa951ae6e1d23d5ecb/2ce4cd1d/AndrewNg-MachineLearningYearningDraftVersion.pdf) |
Book,Notes |
Intermediate |
Samet Aydın |
January 15, 2021 |
| 252 |
Data Mining |
Introduction to Data Mining |
|
Introduction To Data Mining-Kristin Teacher.pdf (https://dl.airtable.com/.attachments/a1851086b16803858bff64a067cdafa6/06f666dc/IntroductionToDataMining-KristinTeacher.pdf) |
Book |
Beginner |
Samet Aydın |
January 15, 2021 |
| 253 |
Python - Data Science |
Python Data Science Handbook |
https://jakevdp.github.io/PythonDataScienceHandbook/ |
|
GitHub,Book |
All Levels |
Samet Aydın |
January 15, 2021 |
| 254 |
MATLAB |
Notes for Professionals |
|
MATLABNotesForProfessionals.pdf (https://dl.airtable.com/.attachments/90b1cd5e7b0a5206424ac74e4a10e19c/81c3b0c6/MATLABNotesForProfessionals.pdf) |
Notes,Tips |
Advance |
Samet Aydın |
January 15, 2021 |
| 255 |
Data Engineering |
Toolbox Book |
|
Data Engineering.pdf (https://dl.airtable.com/.attachments/554c693bb318cb8cb048589da117e6d4/56259114/DataEngineering.pdf) |
Book,Tool,Notes |
All Levels |
Samet Aydın |
January 16, 2021 |
| 256 |
Neural Networks |
Neural Network Toolbox |
|
nnet.pdf (https://dl.airtable.com/.attachments/5c36536c4f29d50dba7775f1e12aed88/246141aa/nnet.pdf) |
Book |
All Levels |
Samet Aydın |
January 16, 2021 |
| 257 |
Computer Vision |
RWTH AACHEN University - Computer Vision Lecture Notes 1 |
https://www.vision.rwth-aachen.de/course/28/ |
|
Notes,Tutorial |
All Levels |
Samet Aydın |
January 16, 2021 |
| 258 |
Computer Vision |
RWTH AACHEN University - Computer Vision Lecture Notes 2 |
https://www.vision.rwth-aachen.de/course/25/ |
|
Notes,Tutorial |
All Levels |
Samet Aydın |
January 16, 2021 |
| 259 |
Linear Algebra |
Linear Algebra in Python |
https://media-exp1.licdn.com/dms/document/C561FAQFKuk3snt0g-g/feedshare-document-pdf-analyzed/0/1584295061573?e=1610881200&v=beta&t=oAEOZqv8IzB8vsqvWleEyLETSkj19WkHmA6WKVHjdXk |
|
Cheat Sheets,Notes,Tutorial |
Beginner |
Samet Aydın |
January 16, 2021 |
| 260 |
Data Science Book Advise |
What are the Top 10 Data Science and AI Books of 2020 |
https://towardsdatascience.com/what-are-the-10-must-read-data-science-and-ai-books-of-2020-36e2c5f0d72f |
|
Other,Tips |
All Levels |
Samet Aydın |
January 16, 2021 |
| 261 |
Data Analytics |
Models and algorithms for the analysis of data sets |
https://media-exp1.licdn.com/dms/document/C511FAQHkfutN-8Gq0w/feedshare-document-pdf-analyzed/0/1582371869440?e=1610881200&v=beta&t=QsULJ1mLdpyoVEFJmftNs7TFoTk28OwRg1HhmfsXhu8 |
|
Book,Tutorial,Notes |
All Levels |
Samet Aydın |
January 16, 2021 |
| 262 |
Data Science |
Lecture Documentation of Harvard University |
https://github.com/Harvard-IACS/2019-CS109A |
|
Tutorial,Notes,GitHub,Video |
All Levels |
Samet Aydın |
January 16, 2021 |
| 263 |
Data Science |
Curriculum - Recommended curriculum for intro-level data science self-study |
https://medium.com/towards-artificial-intelligence/data-science-curriculum-bf3bb6805576 |
|
Other,Tips |
Beginner |
Samet Aydın |
January 16, 2021 |
| 264 |
Algorithms |
Algorithms Notes for Professionals book |
https://goalkicker.com/AlgorithmsBook/ |
|
Book,Tutorial,Notes |
Advance |
Samet Aydın |
January 16, 2021 |
| 265 |
C++ |
Advanced level C++ Notes |
https://goalkicker.com/CPlusPlusBook/ |
|
Book,Notes,Tutorial |
Advance |
Samet Aydın |
January 16, 2021 |
| 266 |
SQL |
Microsoft SQL Server Notes - Recommend for at least intermediate level. |
https://goalkicker.com/MicrosoftSQLServerBook/ |
|
Notes,Tutorial,Tips |
Advance |
Samet Aydın |
January 16, 2021 |
| 267 |
Artificial Intelligence |
Curious about A.I. ? Check out YouTube Originals latest episodes from the series of “The Age Of A.I.” which is presented by Robert Downey Jr |
https://www.youtube.com/playlist?list=PLjq6DwYksrzz_fsWIpPcf6V7p2RNAneKc |
|
Video |
Beginner |
Samet Aydın |
January 16, 2021 |
| 268 |
Python |
Linear Regression in Python: Using NumPy, scipy, and statsmodels |
https://www.datasciencecentral.com/profiles/blogs/linear-regression-in-python-use-of-numpy-scipy-and-statsmodels |
|
Tutorial,Notes |
Beginner |
Samet Aydın |
January 16, 2021 |
| 269 |
Python |
Python notes for professional developers |
https://goalkicker.com/PythonBook/ |
|
Book,Notes,Tutorial |
Advance |
Samet Aydın |
January 16, 2021 |
| 270 |
R |
R Language notes for advanced developers |
https://goalkicker.com/RBook/ |
|
Book,Tutorial,Tips,Notes |
All Levels |
Samet Aydın |
January 16, 2021 |
| 271 |
AI - Unsupervised Learning |
Unsupervised Learning Algorithms in One Picture |
https://storage.ning.com/topology/rest/1.0/file/get/3689870706?profile=original |
|
Cheat Sheets |
All Levels |
Samet Aydın |
January 16, 2021 |
| 272 |
AI NLP language understanding |
Jumbled-up sentences show that AIs still don’t really understand language |
https://www.technologyreview.com/2021/01/12/1016031/jumbled-up-sentences-ai-doesnt-understand-language-nlp-bert-fix/ |
|
Article |
All Levels |
Joanna Pol |
January 16, 2021 |
| 273 |
AI language model |
Google trained a trillion parameter ai language model |
https://venturebeat.com/2021/01/12/google-trained-a-trillion-parameter-ai-language-model/ |
|
Article |
Intermediate |
Joanna Pol |
January 16, 2021 |
| 274 |
Lesson 3 - Mind map Creating a Dataset |
I created a mindmap form lesson 3 Creating a Dataset (added pdf and jpg version) |
|
mind-map-creating-a-dataset.pdf (https://dl.airtable.com/.attachments/6f61f079c44a0c68c3dfaf859b4cbf10/82843777/mind-map-creating-a-dataset.pdf),mind-map -creating-a-dataset.png (https://dl.airtable.com/.attachments/bd6d12e242009c395fb5474d43be4e66/76b545d2/mind-map-creating-a-dataset.png) |
Notes,Other |
All Levels |
Joanna Pol |
January 16, 2021 |
| 275 |
Data Visualization |
Data Visualization quick-reference guide. |
https://media-exp1.licdn.com/dms/document/C4D1FAQEVdPWIqnGBaw/feedshare-document-pdf-analyzed/0/1610901704688?e=1610989200&v=beta&t=IzBs-a7B0EP5M3POYJ43RaP5JluWeRZIVOGqi19qgFA |
|
Cheat Sheets,Notes,Tips |
All Levels |
Samet Aydın |
January 17, 2021 |
| 276 |
AI-Bias |
This is how AI bias really happens—and why it’s so hard to fix |
https://www.technologyreview.com/2019/02/04/137602/this-is-how-ai-bias-really-happensand-why-its-so-hard-to-fix |
|
Article |
All Levels |
Joanna Pol |
January 18, 2021 |
| 277 |
AI - biases- how to overcome them |
AI - biases- how to overcome them |
https://www.ted.com/talks/verna_myers_how_to_overcome_our_biases_walk_boldly_toward_them?utm_source=tedcomshare&utm_medium=social&utm_campaign=tedspread |
|
Video,Other |
All Levels |
Joanna Pol |
January 18, 2021 |
| 278 |
AI for project Mangers |
The impact of AI on project management |
https://www.linkedin.com/learning/artificial-intelligence-for-project-managers |
|
MOOC |
All Levels |
Zahra'a HM |
January 18, 2021 |
| 279 |
Data Engineering |
Roadmap of Data Engineering |
https://github.com/datastacktv/data-engineer-roadmap/blob/master/text/roadmap.md |
|
Other,Tips |
All Levels |
Samet Aydın |
January 18, 2021 |
| 280 |
Data Science |
A comparison of pipenv and conda as of Jan 2021 based on various “data science-ish” criteria |
https://soumaya-mauthoor.medium.com/pipenv-vs-conda-for-data-scientists-b9a372faf9d9 |
|
Research Paper |
Advance |
Samet Aydın |
January 18, 2021 |
| 281 |
Data Analysis |
COVID-19 Data Analysis with Python |
https://emredurukn.medium.com/covid-19-data-analysis-with-python-4e01d57d651 |
|
Notes,Research Paper,Tutorial |
All Levels |
Samet Aydın |
January 18, 2021 |
| 282 |
Superintelligence (AI/Ethics) |
Superintelligence is a hypothetical agent that possesses intelligence far surpassing that of thebrightest and most gifted human minds. In light of recent advances in machine intelligence, a num-ber of scientists, philosophers and technologists have revived the discussion about the potentiallycatastrophic risks entailed by such an entity. In this article, we trace the origins and developmentof the neo-fear of superintelligence, and some of the major proposals for its containment. We arguethat total containment is, in principle, impossible, due to fundamental limits inherent to comput-ing itself. Assuming that a superintelligence will contain a program that includes all the programsthat can be executed by a universal Turing machine on input potentially as complex as the state ofthe world, strict containment requires simulations of such a program, something theoretically (andpractically) impossible. |
https://jair.org/index.php/jair/article/view/12202/26642 |
|
Article |
All Levels |
Alexa.N. |
January 18, 2021 |
| 283 |
AI Robotics + Theory of mind |
Behavior modeling is an essential cognitive ability that underlies many aspects of human and animal social behavior (Watson in Psychol Rev 20:158, 1913), and an ability we would like to endow robots. Most studies of machine behavior modelling, however, rely on symbolic or selected parametric sensory inputs and built-in knowledge relevant to a given task. Here, we propose that an observer can model the behavior of an actor through visual processing alone, without any prior symbolic information and assumptions about relevant inputs. To test this hypothesis, we designed a non-verbal non-symbolic robotic experiment in which an observer must visualize future plans of an actor robot, based only on an image depicting the initial scene of the actor robot. We found that an AI-observer is able to visualize the future plans of the actor with 98.5% success across four different activities, even when the activity is not known a-priori. We hypothesize that such visual behavior modeling is an essential cognitive ability that will allow machines to understand and coordinate with surrounding agents, while sidestepping the notorious symbol grounding problem. Through a false-belief test, we suggest that this approach may be a precursor to Theory of Mind, one of the distinguishing hallmarks of primate social cognition. |
https://www.nature.com/articles/s41598-020-77918-x?utm_source=red&utm_medium=nl&utm_campaign=ada&utm_content=2021117 |
|
Article |
All Levels |
Alexa.N. |
January 18, 2021 |
| 284 |
Natural language predicts viral escape, NLP |
Natural language predicts viral escape Viral mutations that evade neutralizing antibodies, an occurrence known as viral escape, can occur and may impede the development of vaccines. To predict which mutations may lead to viral escape, Hie et al. used a machine learning technique for natural language processing with two components: grammar (or syntax) and meaning (or semantics) (see the Perspective by Kim and Przytycka). Three different unsupervised language models were constructed for influenza A hemagglutinin, HIV-1 envelope glycoprotein, and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spike glycoprotein. Semantic landscapes for these viruses predicted viral escape mutations that produce sequences that are syntactically and/or grammatically correct but effectively different in semantics and thus able to evade the immune system. |
https://science.sciencemag.org/content/371/6526/284?utm_source=red&utm_medium=nl&utm_campaign=ada&utm_content=2021117 |
|
Article |
Intermediate |
Alexa.N. |
January 18, 2021 |
| 285 |
NLP (Introduction) |
Speech and Language Processing |
https://web.stanford.edu/~jurafsky/slp3/ |
|
Book |
All Levels |
Alexa.N. |
January 18, 2021 |
| 286 |
Bayesian Reasoning and Machine Learning |
Bayesian Reasoning and Machine Learning |
http://web4.cs.ucl.ac.uk/staff/D.Barber/textbook/200620.pdf |
|
Book |
Advance |
Alexa.N. |
January 18, 2021 |
| 287 |
Python (Java, C, C++, JavaScript, and Ruby) |
Tool to Visualize Code Execution for Python, Java, C, C++, JavaScript, and Ruby |
http://www.pythontutor.com/ |
|
Tool,Tutorial |
All Levels |
Sven.UFAcity |
January 18, 2021 |
| 288 |
Grasshoper. Coding App for beginners |
Coding App for beginners. For free. |
https://grasshopper.app/ |
|
Other,Tutorial |
Beginner |
Alexa.N. |
January 19, 2021 |
| 289 |
Ken Jee's Data Science YouTube Channel |
An informative Data Science YouTube channel. It provides insight into the data science community, career advice, beginner tips and project advice. |
https://www.youtube.com/c/KenJee1/videos |
|
Tips,Video,Tutorial |
Beginner |
@iffy |
January 19, 2021 |
| 290 |
Introduction to Deep Learning from Logical Calculus to Artifical Intelligence |
This book gives information about from emerging Artificial Intelligence to the methods of deep learning. |
https://www.springer.com/gp/book/9783319730035 |
|
Book |
All Levels |
Hatice Koc |
January 19, 2021 |
| 291 |
AI - robot-empathy-deception |
Can AI learn empathy? |
https://www.inverse.com/innovation/robot-empathy-deception |
|
Article |
All Levels |
Joanna Pol |
January 19, 2021 |
| 292 |
Interactive Plots only with Matplotlib |
Interactive Plots only with Matplotlib! |
https://medium.com/towards-artificial-intelligence/simple-interactive-plots-only-with-matplotlib-5a707e69b77 |
|
Other,Tips |
All Levels |
Joanna Pol |
January 19, 2021 |
| 293 |
Deep Learning with CIFAR-10 |
Deep Learning with CIFAR-10 |
https://towardsdatascience.com/deep-learning-with-cifar-10-image-classification-64ab92110d79 |
|
Article,Notes,Tips |
Intermediate |
Joanna Pol |
January 19, 2021 |
| 294 |
Data Science |
Youtube channel for beginner friendly advice in Data Science. How to go about structuring your learning and good project ideas and insights! |
https://www.youtube.com/channel/UCiT9RITQ9PW6BhXK0y2jaeg |
|
Video,Tutorial,Tips |
Beginner |
Joanna Pol |
January 19, 2021 |
| 295 |
Guide to AI in retail |
This deals with issues such as Personalization, Predictions, Communications, and the scope of cooperation between Tommy Hilfiger's recent project with IBM and The Fashion Institute of Technology (FIT). |
https://www.insider-trends.com/the-complete-guide-to-ai-in-retail/ |
|
Article |
Beginner |
Joanna Pol |
January 19, 2021 |
| 296 |
AI-retail |
In this article, we cover a variety of examples in which AI is being integrated in the retail industry, broken down into the following sub-categories |
https://emerj.com/ai-sector-overviews/artificial-intelligence-retail/ |
|
Article |
All Levels |
Joanna Pol |
January 19, 2021 |
| 297 |
Software Testing |
A Study of Automated Software Testing: Automation Tools and Frameworks |
https://www.researchgate.net/publication/338282426_A_Study_of_Automated_Software_Testing_Automation_Tools_and_Frameworks |
|
Research Paper |
Intermediate |
Samet Aydın |
January 19, 2021 |
| 298 |
Amazon Web Services (AWS) |
AWS Documentation for Rekognition = ML for image and video |
https://docs.aws.amazon.com/rekognition/ |
|
Article |
Advance |
Frosty |
January 20, 2021 |
| 299 |
Women Who Code Initiative |
Women Who Code London Initiative- the largest and most active community of engineers dedicated to inspiring women to excel in technology careers. |
https://twitter.com/wwcodelondon |
|
Other |
All Levels |
Joanna Pol |
January 20, 2021 |
| 300 |
Apple watch can detect covid-19 |
Apple watch can detect covid-19 before symptoms arise new study shows |
https://www.forbes.com/sites/davidphelan/2021/01/17/apple-watch-can-detect-covid-19-before-symptoms-arise-new-study-shows/?sh=6109c5933bbe |
|
Article |
All Levels |
Joanna Pol |
January 20, 2021 |
| 301 |
Women who code (network) |
Women who code: Empowering Women in Technology |
https://www.womenwhocode.com/ |
|
Other,Tips |
All Levels |
Alexa.N. |
January 21, 2021 |
| 302 |
Data Science Portfolio |
Advantageus advices and explanation on how to create an amazing data science portfolio |
https://towardsdatascience.com/how-to-create-an-amazing-data-science-portfolio-1ea4bc74ceee |
|
Article,Tips |
Intermediate |
Muhittin Erguzer |
January 21, 2021 |
| 303 |
Pandas |
Reading and Writing Data with Pandas |
|
Pandas_in_8_Pages_1608313550.pdf (https://dl.airtable.com/.attachments/df2d29ae1f130b3bdf8f1369c59d182f/a0806e8d/Pandas_in_8_Pages_1608313550.pdf) |
Cheat Sheets |
Beginner |
Joanna Pol |
January 22, 2021 |
| 304 |
INCEPTION |
NLP- annotation tool |
https://inception-project.github.io/ |
|
Other |
All Levels |
Alexa.N. |
January 22, 2021 |
| 305 |
CATMA |
NLP - annotation tool |
https://catma.de/ |
|
Other |
All Levels |
Alexa.N. |
January 22, 2021 |
| 306 |
Webanno |
NLP - annotation tool |
https://webanno.github.io/webanno/ |
|
Other |
All Levels |
Alexa.N. |
January 22, 2021 |
| 307 |
Product Management for AI by Google PM |
Product Management for AI by Google PM, a lot of real-life examples |
https://www.youtube.com/watch?v=CiJT36D8SZc |
|
Video,Tips |
All Levels |
Joanna Pol |
January 22, 2021 |
| 308 |
Data Science Portfolio |
Build a Data Science Portfolio that Stands Out Using These Platforms |
https://www.kdnuggets.com/2021/01/build-data-science-portfolio.html |
|
Notes,Article |
Beginner |
Joanna Pol |
January 22, 2021 |
| 309 |
Python |
Pandas CheatSheet |
https://media-exp1.licdn.com/dms/document/C4D1FAQFBwEB6axE20g/feedshare-document-pdf-analyzed/0/1610619351019?e=1611432000&v=beta&t=vYzfEiSh-DmYQKrEcVJIDalWshOpBeKJTVzuYpq9x8w |
|
Cheat Sheets |
All Levels |
Samet Aydın |
January 23, 2021 |
| 310 |
Statistics-Probability |
A free statistics and probability course. Ideal for aspiring machine learning practitioners. |
https://www.khanacademy.org/math/statistics-probability |
|
Other,Tips |
Beginner |
Joanna Pol |
January 23, 2021 |
| 311 |
Numpy cheat sheet |
Numpy cheat sheet |
|
Numpy_Cheat_Sheet_1606173926.pdf (https://dl.airtable.com/.attachments/e51fad8f3d8a542e025c23b35c1bd061/911b7d67/Numpy_Cheat_Sheet_1606173926.pdf) |
Cheat Sheets |
All Levels |
Joanna Pol |
January 23, 2021 |
| 312 |
Python |
Introduction to Python - A self study course |
https://media-exp1.licdn.com/dms/document/C561FAQEb6Cexh0-EvQ/feedshare-document-pdf-analyzed/0/1611379669133?e=1611518400&v=beta&t=Fcu-Nesc0bmrIvdyx38NHSsrhzm8IyIUV7AiIdi38Q0 |
|
Book,Notes,Tutorial |
Beginner |
Samet Aydın |
January 23, 2021 |
| 313 |
Machine Learning |
Building Model RoadMap |
https://towardsdatascience.com/how-to-build-a-machine-learning-model-439ab8fb3fb1 |
|
Notes,Research Paper |
Intermediate |
Samet Aydın |
January 24, 2021 |
| 314 |
Data Science |
What is Data science, a good explanation for non-data sciencecist |
https://www.datasciencecentral.com/profiles/blogs/explaining-data-science-to-a-non-data-scientist |
|
Notes,Other |
Beginner |
Samet Aydın |
January 24, 2021 |
| 315 |
OpenCV |
OpenCV with Python for beginners, video series. |
https://www.youtube.com/playlist?list=PLS1QulWo1RIa7D1O6skqDQ-JZ1GGHKK-K |
|
Video |
Beginner |
Samet Aydın |
January 24, 2021 |
| 316 |
Design Patterns |
Design Patterns video lectures. |
https://www.youtube.com/playlist?list=PLrhzvIcii6GNjpARdnO4ueTUAVR9eMBpc |
|
MOOC,Video |
All Levels |
Samet Aydın |
January 24, 2021 |
| 317 |
Data Structures |
Data Structure by Saurabh Shukla Sir |
https://www.youtube.com/playlist?list=PLsFNQxKNzefJNztGGoQC-59UhSwIaiIW3 |
|
Video |
Intermediate |
Samet Aydın |
January 24, 2021 |
| 318 |
Python |
Python tutorials video series |
https://www.youtube.com/playlist?list=PLV8vIYTIdSnZpt3yud5Eo7TGx_Dw4uCU7 |
|
Video |
Beginner |
Samet Aydın |
January 24, 2021 |
| 319 |
Python |
How to gets the most of Machine Learning models. |
https://link.medium.com/xWVLxDnEjdb |
|
Article |
All Levels |
Etendra Verma |
January 25, 2021 |
| 320 |
Build and share data apps, Python |
The fastest way to build and share data apps |
https://www.streamlit.io/ |
|
Other,Tool |
|
Joanna Pol |
January 24, 2021 |
| 321 |
AI and digital marketing |
AI: A Conversational Marketing Masterclass" from CES 2021 |
https://www.ustream.tv/recorded/129182554 |
|
Video |
All Levels |
Frosty |
January 24, 2021 |
| 322 |
Unity ML |
Getting started with ML agents in Unity [Tutorial] | Packt Hub |
https://hub.packtpub.com/getting-started-with-ml-agents-in-unity-tutorial/ |
|
Tutorial |
Intermediate |
Frosty |
January 24, 2021 |
| 323 |
Resources |
AI for Earth technical resources |
https://www.microsoft.com/en-us/ai/ai-for-earth |
|
Tool |
All Levels |
Frosty |
January 24, 2021 |
| 324 |
The Cambridge handbook of artificial intelligence |
The book gives information about the definition, history, dimensions, and ethics of AI. |
https://www.keithfrankish.com/handbook-of-artificial-intelligence/ |
|
Book |
All Levels |
Hatice Koc |
January 25, 2021 |
| 325 |
Artificial Intelligence: A Modern Approach |
It gives general information about AI and AI techniques. It can be a guidebook to learn AI in detail. |
http://aima.cs.berkeley.edu/ |
|
Book |
All Levels |
Hatice Koc |
January 25, 2021 |
| 326 |
Artificial Intelligence: A System Approach |
The book consists of information about AI, AI history, and AI techniques. (It can be found as a pdf document by searching on the Internet.) |
https://www.amazon.com/Artificial-Intelligence-Systems-Approach-Computer/dp/0763773379 |
|
Book |
All Levels |
Hatice Koc |
January 25, 2021 |
| 327 |
Introduction to Machine Learning |
If you interest in machine learning methods and techniques theoretically, it can be a guidebook. |
https://www.cmpe.boun.edu.tr/~ethem/i2ml2e/ |
|
Book,Other |
All Levels |
Hatice Koc |
January 25, 2021 |
| 328 |
Machine learning for enterprises: Applications, algorithm selection, and challenges |
It gives information about ML, ML algorithms, and accuracy of ML algorithms, and some ML application examples for enterprises. Besides, it mentions challenges in deploying machine learning in enterprises. |
https://www.sciencedirect.com/science/article/abs/pii/S0007681319301521 |
|
Article |
All Levels |
Hatice Koc |
January 25, 2021 |
| 329 |
Measurementality (Podcast) |
Measurementality is a new series of podcasts, webinars and reports created by the IEEE Standards Association (IEEE SA) in collaboration with The Radical AI Podcast focused on defining what counts in the Algorithmic Age. While it’s critical that Artificial Intelligence Systems (AIS) are transparent, responsible, and trustworthy, Measurementality will explore the deeper issues around what measurements of success we’re optimizing for in the first place. |
https://standards.ieee.org/events/measurementality/index.html?utm_source=beyondstandards&utm_medium=post&utm_campaign=measurementality-2021 |
|
Other |
All Levels |
Alexa.N. |
January 25, 2021 |
| 330 |
AI and Well-Being |
AI and Well-being |
https://standards.ieee.org/content/dam/ieee-standards/standards/web/documents/other/ead1e_well_being.pdf |
|
Book,Article |
All Levels |
Alexa.N. |
January 25, 2021 |
| 331 |
Tech ethics |
Tech ethics |
https://www.hattusia.com/networthy-budget-buy-in-tech-ethics |
|
Article |
All Levels |
Alexa.N. |
January 25, 2021 |
| 332 |
List of Math Formulas |
It has all the math formulas and cheatsheets in pdf version. Hope it will be useful for someone who is learning python to implement some math concepts |
https://www.matematica.pt/en/useful/math-formulas.php |
|
Cheat Sheets,Notes,Other |
Beginner |
Joanna Pol |
January 26, 2021 |
| 333 |
AI in Cybersecurity |
AI in Cybersecurity |
|
ai_cybersecurity_dummies.pdf (https://dl.airtable.com/.attachments/4fbedf71d7cec38380f591dd00328241/0f7ae085/ai_cybersecurity_dummies.pdf) |
Book,Other |
Beginner |
Joanna Pol |
January 26, 2021 |
| 334 |
Machine Learning for Cyber Security |
A curated list of amazingly awesome tools and resources related to the use of machine learning for cyber security. (books, tutorials, datasets, podcasts ect.) |
https://github.com/jivoi/awesome-ml-for-cybersecurity |
|
Book,Article,GitHub,Tutorial,Video,Research Paper,Other |
All Levels |
Joanna Pol |
January 26, 2021 |
| 335 |
ML |
Rules of Machine Learning: Best Practices for ML Engineering |
https://developers.google.com/machine-learning/guides/rules-of-ml |
|
Article |
All Levels |
Frosty |
January 27, 2021 |
| 336 |
MeshTensorFlow |
Mesh TensorFlow (mtf) is a language for distributed deep learning |
https://github.com/tensorflow/mesh |
|
GitHub |
Advance |
Frosty |
January 27, 2021 |
| 337 |
UX |
The People + AI Guidebook was written to help user experience (UX) professionals and product managers follow a human-centered approach to AI. |
https://pair.withgoogle.com/guidebook/ |
|
Tips |
All Levels |
Frosty |
January 27, 2021 |
| 338 |
Tensorflow object detection Api |
using Tensorflow object detection Api |
https://www.analyticsvidhya.com/blog/2020/04/build-your-own-object-detection-model-using-tensorflow-api/ |
|
Article |
All Levels |
Akanksha |
January 24, 2021 |
| 339 |
Machine Learning |
Machine Learning Glossary |
https://ml-cheatsheet.readthedocs.io/en/latest/ |
|
Cheat Sheets |
All Levels |
Akanksha |
January 27, 2021 |
| 340 |
ComputerVision |
OpenCV Library for ComputerVision |
https://www.geeksforgeeks.org/opencv-python-tutorial/ |
|
Tutorial |
Intermediate |
Akanksha |
January 22, 2021 |
| 341 |
AWS: What Leaders Must Know About Data to Drive Success With Machine Learning |
AWS: What Leaders Must Know About Data to Drive Success With Machine Learning. Learn more about how organizations can overcome obstacles and accelerate their machine learning journeys, visit the AWS machine learning resource hub. |
|
2a-MIT-Data-Strategy.pdf (https://dl.airtable.com/.attachments/c4b5553c0ce7b618493922b175cd0e2e/780ec3dc/2a-MIT-Data-Strategy.pdf) |
Book |
Beginner |
Joanna Pol |
January 28, 2021 |
| 342 |
AWS: ML -Prepare your workforce for machine learning |
AWS: ML -Prepare your workforce for machine learning. "Transform Your Workforce With Skills for Machine Learning" helps to discover how you can bridge the skills gap from within. |
|
|
Book |
Beginner |
Joanna Pol |
January 28, 2021 |
| 343 |
AWS: ML -Prepare your workforce for machine learning |
AWS: ML -Prepare your workforce for machine learning. "Transform Your Workforce With Skills for Machine Learning" helps to discover how you can bridge the skills gap from within. |
|
MIT_Sloan_Skills_eBook_EN.pdf (https://dl.airtable.com/.attachments/b3dc17ff870769ed97ed66c9285a0032/e95b1732/MIT_Sloan_Skills_eBook_EN.pdf) |
Book |
Beginner |
Joanna Pol |
January 28, 2021 |
| 344 |
Federated Learning |
Alex Ingerman, a product manager at Google AI, focusing on federated learning and other privacy-preserving technologies, explains in 4 minutes federated learning and how it helps all machine learning practitioners to protect their users’ privacy by default. |
https://adsonair.withgoogle.com/events/privacy-at-google?talk=federated-learning |
|
Video |
Beginner |
Sybille |
January 28, 2021 |
| 345 |
Deep learning |
Architecture of LSTM |
https://www.analyticsvidhya.com/blog/2021/01/understanding-architecture-of-lstm/ |
|
Article |
Intermediate |
Akanksha |
January 23, 2021 |
| 346 |
Deeplearning |
Autoencoders in Deeplearning |
https://www.youtube.com/watch?v=nTt_ajul8NY |
|
Tutorial,Video |
All Levels |
Akanksha |
January 29, 2021 |
| 347 |
Seven legal questions for data scientists |
This article poses seven legal questions that data scientists should address before they deploy AI. This article is not legal advice. However, these questions and answers should help you better align your organization’s technology with existing and future laws, leading to less discriminatory and invasive customer interactions |
https://www.oreilly.com/radar/seven-legal-questions-for-data-scientists/ |
|
Article |
All Levels |
Joanna Pol |
January 29, 2021 |
| 348 |
Cloud Data Warehouse Performance Testing |
Product Profile and Evaluation: Amazon Redshift, Microsoft Azure SQL Data Warehouse, Google BigQuery, and Snowflake Data Warehouse |
https://gigaom.com/report/cloud-data-warehouse-performance-testing/ |
|
Research Paper |
All Levels |
Samet Aydın |
January 30, 2021 |
| 349 |
Python |
Python Exercises, Practice, Solution |
https://www.w3resource.com/python-exercises/ |
|
Quiz |
Beginner |
Antonella Blandino |
January 31, 2021 |
| 350 |
Python |
Beginner Python exercises |
https://www.practicepython.org/exercises/ |
|
Quiz |
Beginner |
Antonella Blandino |
January 31, 2021 |
| 351 |
Linkedln |
10 Tips to Master LinkedIn in a Way You Never Imagined. Practical examples |
https://www.lifehack.org/articles/work/10-tips-master-linkedin-way-you-never-imagined.html |
|
Article,Tips |
Beginner |
Joanna Pol |
January 31, 2021 |
| 352 |
Steps to tech career |
Setting SMART Goals for Your Tech Career |
https://skillcrush.com/blog/tech-career-goals/ |
|
Article,Tips |
Beginner |
Joanna Pol |
January 31, 2021 |
