| 478 |
Best Practices for ML Engineering |
Guide on Best Practices for ML Engineering by Martin Zinkevich - Research Scientist @ Google |
|
Rules of Machine Learning.pdf (https://dl.airtable.com/.attachments/32c531e1bef4bb813358dcb5e5f5bc34/aadc44a2/RulesofMachineLearning.pdf) |
Research Paper,Cheat Sheets |
Intermediate |
Hima |
March 1, 2021 |
| 479 |
Machine learning |
Machine learning Book |
https://github.com/jermwatt/machine_learning_refined#get-a-copy-of-the-book |
|
Book |
All Levels |
Samet Aydın |
March 1, 2021 |
| 480 |
Starting Out with Python |
This book uses the Python language to teach programming concepts and problem-solving skills, without assuming any previous programming experience. With easy-to-understand examples, pseudocode, flowcharts, and other tools, the student learns how to design the logic of programs then implement those programs using Python. This book is ideal for an introductory programming course or a programming logic and design course using Python as the language. |
https://www.amazon.com/Starting-Out-Python-Tony-Gaddis/dp/0134444329 |
|
Book |
All Levels |
Hatice Koc |
March 1, 2021 |
| 481 |
Artificial Intelligence |
The State of Ai by Andrew Ng |
https://www.theaihealthpodcast.com/episodes/andrew-ng-on-the-state-of-ai |
|
Article |
Beginner |
Nibz.Ka |
March 3, 2021 |
| 482 |
Artificial Intelligence |
AI + US Government |
https://connectedsocialmedia.com/19159/ |
|
Article |
Beginner |
Nibz.Ka |
March 3, 2021 |
| 483 |
Artificial Intelligence |
NEWSLETTER, Published weekly. The most important artificial intelligence and machine learning news and articles. |
https://www.linkedin.com/newsletters/artificial-intelligence-6598352935271358464/ |
|
Other,Article |
All Levels |
Christina Loiacono |
March 3, 2021 |
| 484 |
AI for Product Managers |
Cheat Sheets from Udacity Scholarship |
https://github.com/fa-ahmad/AIPMND/blob/master/ND088-MLPMND-Model%20Evaluation-Cheat%20Sheet%20.pdf?utm_source=udacity |
|
GitHub,Cheat Sheets |
|
Joanna Pol |
March 4, 2021 |
| 485 |
MySQL |
MySQL Cheat Sheet |
https://media-exp1.licdn.com/dms/document/C4E1FAQEmBU8_6-alkw/feedshare-document-pdf-analyzed/0/1614881592054?e=1614970800&v=beta&t=RqeVfeBgkKZfp-I3R-E9ry6u-u3_2Akny0ewkJ5BRlA |
|
Cheat Sheets |
|
Samet Aydın |
March 4, 2021 |
| 486 |
Machine Learning |
Your First Machine Learning Project in Python Step-By-Step |
https://machinelearningmastery.com/machine-learning-in-python-step-by-step/ |
|
Article,Tutorial |
Beginner |
Samet Aydın |
March 4, 2021 |
| 487 |
Don't build chatbot end to end |
Advices for chatbot developing |
https://medium.com/voice-tech-podcast/dont-build-chatbot-end-to-end-2f8ca69f9f46 |
|
Article,Tips |
Intermediate |
Joanna Pol |
March 4, 2021 |
| 488 |
Wireflow for chatbot |
Why wireflow is important for building a graphical user interface? What does it take to have “wireflow” for conversational experience? You can find there answers for these and more questions. |
https://sean-wu.medium.com/wireframe-for-chatbot-72fb4861ed7b |
|
Article,Tips |
Beginner |
Joanna Pol |
March 4, 2021 |
| 489 |
Artificial Intelligence |
Can A.I. make music? Can it feel excitement and fear? Is it alive? Will.i.am and Mark Sagar push the limits of what a machine can do. How far is too far, and how much further can we go? The Age of A.I. is an 8 part documentary series hosted by Robert Downey Jr. covering the ways Artificial Intelligence, Machine Learning and Neural Networks will change the world. |
https://youtu.be/UwsrzCVZAb8 |
|
Video |
All Levels |
Nibz.Ka |
March 4, 2021 |
| 490 |
Python |
Python dashboard libraries: exploring interaction voila, dash, and streamlit |
https://www.youtube.com/watch?v=mZOIeOeswB0 |
|
Video |
All Levels |
Samet Aydın |
March 5, 2021 |
| 491 |
Python |
Natural Language Processing in Python |
https://www.youtube.com/watch?v=xvqsFTUsOmc |
|
Video |
All Levels |
Samet Aydın |
March 5, 2021 |
| 492 |
Deep Learning |
Deep Learning Crash Course for Beginners |
https://www.youtube.com/watch?v=VyWAvY2CF9c |
|
Video |
All Levels |
Samet Aydın |
March 5, 2021 |
| 493 |
Python |
Compose and Program Music in Python using Earsketch by Coursera Project Network |
https://www.coursera.org/learn/compose-program-music-in-python-using-earsketch/ |
|
Tutorial,Tips,Other |
All Levels |
Nibz.Ka |
March 5, 2021 |
| 494 |
AI ethics |
Coded Bias: Unmasking the Abuses of Face Recognition Technologies in Society |Aalto University Film screening and panel discussion with the director |
https://www.aalto.fi/en/events/coded-bias-unmasking-the-abuses-of-face-recognition-technologies-in-society?utm_source=linkedin&utm_medium=social_own&utm_campaign=&utm_content= |
|
Other |
All Levels |
mert izcan |
March 6, 2021 |
| 495 |
Python |
Linear Algebra with Python |
https://media-exp1.licdn.com/dms/document/C4E1FAQFU_a6dFGUSTw/feedshare-document-pdf-analyzed/0/1615032208033?e=1615136400&v=beta&t=V4TR8U09L7NFt3QNrR3nzpjpEb1RDmu5Yr85ghwWSZ4 |
|
Tutorial,Notes,Book |
Intermediate |
Samet Aydın |
March 6, 2021 |
| 496 |
Machine Learning |
Amazon's Machine Learning University on Youtube |
https://www.youtube.com/channel/UC12LqyqTQYbXatYS9AA7Nuw |
|
Video,MOOC |
Beginner |
Daniel Afekhume |
March 6, 2021 |
| 497 |
Deep Learning |
Yann LeCunn's Deep Learning course in New York University |
https://www.youtube.com/playlist?list=PLLHTzKZzVU9eaEyErdV26ikyolxOsz6mq |
|
MOOC,Video |
Beginner |
Daniel Afekhume |
March 6, 2021 |
| 498 |
Python, Machine Learning, Tensorflow, Deep Learning |
Here I documented my journey & all the resources I used to get into the field of ML & DL. |
https://github.com/rohit077/100_Days_of_ML |
|
GitHub |
Beginner |
Rohit Roy Chowdhury |
March 7, 2021 |
| 499 |
AI.Applications |
Android Kunjappan 5.25 A movie featuring a Robot as a caretaker for a very stubborn village old man in Kerala, India. |
https://www.imdb.com/title/tt9526826/ |
|
Video |
All Levels |
Nibz.Ka |
March 7, 2021 |
| 500 |
SQL |
Cheat Sheets |
https://media-exp1.licdn.com/dms/document/C561FAQGxOPExKwn8fw/feedshare-document-pdf-analyzed/0/1615170495691?e=1615287600&v=beta&t=21od6gNbKSjZwUfx6OdD0s-lVDxZdprSkvpj_bSERMU |
|
Cheat Sheets |
All Levels |
Samet Aydın |
March 8, 2021 |
| 501 |
JavaScript - The third age of JavaScript |
presentation about the future of JS from the JSworld conference |
https://docs.google.com/presentation/d/1Dlow7gHNV6MeZ9CmZR0cbN_wfyIU6UcqBNZI4D6rObo/edit#slide=id.g932bfe1e43_0_0 |
|
Notes,Other |
Intermediate |
Joanna Pol |
March 8, 2021 |
| 502 |
How to build a machine learning model |
How to build a machine learning model - Complete guide for your first data science project |
https://www.youtube.com/watch?v=KtKZVc0joYQ&t=306s |
|
Video,Tips |
Beginner |
Joanna Pol |
March 8, 2021 |
| 503 |
How to get a job in data science (with no work experience) |
How to get a job in data science (with no work experience) |
https://www.youtube.com/watch?v=nSzLMenLFos |
|
Video,Tips |
Beginner |
Joanna Pol |
March 8, 2021 |
| 504 |
Data Science |
Introduction to Data Science |
https://media-exp1.licdn.com/dms/document/C4D1FAQEDSdGo8Ddgmw/feedshare-document-pdf-analyzed/0/1614150192362?e=1615410000&v=beta&t=ZlP9DGQpBd2B7LTteHXK3JRo_biNI-1ct22IkaGXcG4 |
|
Book |
Beginner |
Samet Aydın |
March 9, 2021 |
| 505 |
Artificial Intelligence |
AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone--especially your non-technical colleagues--to take. |
https://www.coursera.org/learn/ai-for-everyone |
|
MOOC |
All Levels |
Nibz.Ka |
March 9, 2021 |
| 506 |
C# |
Design Patterns in C# and .NET |
https://www.udemy.com/course/design-patterns-csharp-dotnet/ |
|
Tutorial,Other |
Intermediate |
Samet Aydın |
March 9, 2021 |
| 507 |
Data Engineering |
The Data Engineering Cookbook |
https://media-exp1.licdn.com/dms/document/C4E1FAQGyxUFr6w-6vw/feedshare-document-pdf-analyzed/0/1614418179886?e=1615410000&v=beta&t=YHelU0g01sOcN39ypwV3WrORrDN9Ov-iI_srnMJOZlk |
|
Book |
All Levels |
Samet Aydın |
March 9, 2021 |
| 508 |
Machine Learning |
MACHINE LEARNING QUICK REFERENCE: BEST PRACTICES |
https://media-exp1.licdn.com/dms/document/C4E1FAQHjXv59H2rYIQ/feedshare-document-pdf-analyzed/0/1614925136581?e=1615410000&v=beta&t=K6MDki-vLIogUD8wpWTpzof2C6fi3zPKkQZs4ezIIDo |
|
Cheat Sheets |
Advance |
Samet Aydın |
March 9, 2021 |
| 509 |
Deep Learning |
Deep Learning: An Introduction for Applied Mathematicians |
https://media-exp1.licdn.com/dms/document/C561FAQExE68idXykZg/feedshare-document-pdf-analyzed/0/1614720219689?e=1615406400&v=beta&t=xbxTrBUncp-mS1chRdys4H8y2_YPqQ8YN1sTY7-69bk |
|
Tutorial,Cheat Sheets,Book,Notes |
All Levels |
Samet Aydın |
March 10, 2021 |
| 510 |
Data Science |
3 Reasons Why You Should Choose MATLAB As The Programming Language To Learn Data Science |
https://towardsdatascience.com/why-i-chose-matlab-for-learning-data-science-4f5e4650dce9 |
|
Article |
All Levels |
Samet Aydın |
March 10, 2021 |
| 511 |
NLP |
Center for Language Engineering Urdu and Pakistani regional languages processing center |
https://www.cle.org.pk/index.htm |
|
Tool |
Advance |
Syed Muhammad Asad |
March 10, 2021 |
| 512 |
Artificial Intelligence |
Global AI Hub is a Swiss-based leading global community for AI education and AI career opportunities. |
https://globalaihub.com/ |
|
MOOC |
All Levels |
Syed Muhammad Asad |
March 10, 2021 |
| 513 |
NLP |
UrduHack Urduhack is an open-source NLP library for urdu language. It comes with a lot of battery included features to help you process Urdu data in the easiest way possible. |
https://docs.urduhack.com/en/latest/index.html |
|
Tool |
Advance |
Syed Muhammad Asad |
March 10, 2021 |
| 514 |
Artificial Intelligence |
On March 9, 2016, the worlds of Go and artificial intelligence collided in South Korea for an extraordinary best-of-five-game competition, coined The DeepMind Challenge Match. |
https://youtu.be/WXuK6gekU1Y |
|
Video |
All Levels |
Nibz.Ka |
March 10, 2021 |
| 515 |
Machine Learning |
Its a list of research papers with the code used and which are reproducable. So its a good resource to learn how others in this field solve problems. |
https://paperswithcode.com/ |
|
Research Paper,Tool,Other,GitHub,Article |
Intermediate |
Simon Odorfer |
March 11, 2021 |
| 516 |
I Landed a Job at an AI Startup after Studying for Only 4 Months |
I Landed a Job at an AI Startup after Studying for Only 4 Months |
https://towardsdatascience.com/i-landed-a-job-at-an-ai-startup-after-studying-for-only-4-months-76d816117a1c |
|
Article,Tips |
Beginner |
Joanna Pol |
March 11, 2021 |
| 517 |
Companies hiring data scientists right now |
Companies hiring data scientists right now - website with a lot of job info |
https://www.apteo.co/post/100-companies-hiring-data-scientists-right-now |
|
Other |
All Levels |
Joanna Pol |
March 11, 2021 |
| 518 |
Python |
Cheat Sheet: The pandas DataFrame Object |
https://media-exp1.licdn.com/dms/document/C4E1FAQEq1DTEUt84lg/feedshare-document-pdf-analyzed/0/1615374907113?e=1615579200&v=beta&t=aGvYJTH9jKPYZXj4ENABCHDA5h3L-1fm72WDGamUsmQ |
|
Cheat Sheets |
Advance |
Samet Aydın |
March 12, 2021 |
| 519 |
Data Science |
Build data skills online |
https://www.datacamp.com/?utm_source=adwords_ppc&utm_campaignid=12492439802&utm_adgroupid=122563404921&utm_device=c&utm_keyword=data%20science%20basic&utm_matchtype=b&utm_network=g&utm_adpostion=&utm_creative=504154790362&utm_targetid=kwd-826912697659&utm_loc_interest_ms=&utm_loc_physical_ms=1012782&gclid=Cj0KCQiAnKeCBhDPARIsAFDTLTLb886hHyNIxMnUwLptseB7dujRORFF_fQ6qeZC_9ZeFSerDp1TjjIaAhD7EALw_wcB |
|
Other |
All Levels |
Samet Aydın |
March 12, 2021 |
| 520 |
'Synthetic humans' and insights into Artificial Intelligence. Could science fiction be our reality much sooner than we think? |
In this program the world’s leading experts attempt to build an artificial human based on actress Gemma Chan, star of the sci-fi series Humans, for a ground-breaking scientific stunt that will test just how far away we are from ‘synthetic’ humans. |
How To Build A Human with Gemma Chan | Artificial Intelligence | Spark |
|
Video |
Beginner |
Deborah D |
March 11, 2021 |
| 521 |
Deep Learning MIT 6S.191 couse "Intro to Deep Learning" |
This is a 6 lecture 2021 edition course 2021 on Deep Learning covering such topics as Foundation of DL, Recurrent Neural and Convolutional Networks, Deep Generative Modeling, Reinforcement Learning, and Deep Learning New Frontiers. |
https://www.youtube.com/watch?v=5tvmMX8r_OM&list=PLtBw6njQRU-rwp5__7C0oIVt26ZgjG9NI |
|
Tutorial |
Beginner |
ElenaC |
March 12, 2021 |
| 522 |
imbalanced datasets in machine learning |
Handling imbalanced datasets in machine learning What should and should not be done when facing an imbalanced classes problem? |
https://towardsdatascience.com/handling-imbalanced-datasets-in-machine-learning-7a0e84220f28 |
|
Article |
Beginner |
Toma |
March 13, 2021 |
| 523 |
OpenAI |
CLIP: Connecting Text and Images introducing a neural network called CLIP which efficiently learns visual concepts from natural language supervision. CLIP can be applied to any visual classification benchmark by simply providing the names of the visual categories to be recognized, similar to the “zero-shot” capabilities of GPT-2 and GPT-3. |
https://openai.com/blog/clip/ |
|
Article |
All Levels |
Toma |
March 13, 2021 |
| 524 |
Model Evaluation |
When measuring model performance, we want to have sensible metrics that indicate how well the model is performing. This should encompass the model's ability to predict each of the training classes and give us insight into any biases that may exist on the model. By having these clear metrics, we can get a good idea of how the model will perform when deployed into production, which will ultimately drive performance of the product and its impact in the market. |
https://www.notion.so/Model-Evaluation-97bfa579b9684733b1b3b52c449daedc |
|
Article |
All Levels |
Toma |
March 13, 2021 |
| 525 |
precision and recall |
In evaluating multi-class classification problems, we often think that the only way to evaluate performance is by computing the accuracy which is the proportion or percentage of correctly predicted labels over all predictions. |
https://kavita-ganesan.com/how-to-compute-precision-and-recall-for-a-multi-class-classification-problem/#.YEy3iZ1KhPa |
|
Article |
All Levels |
Toma |
March 13, 2021 |
| 526 |
Overview of Modelling |
As a product manager looking to develop AI products, it is important to understand the mechanics of ML. Model architecture, training data and model evaluation are all key elements of ML and are instrumental in successful AI product management. When using AI and products, there are numerous uncertainties that that can alter the course of development and by understand the core concepts, we can stay ahead of the unknowns and plan development accordingly. |
https://www.notion.so/Overview-of-Modelling-924b54c3c169402688404d34d823ec8e |
|
Article |
All Levels |
Toma |
March 13, 2021 |
| 527 |
Multi-Class Metrics Made Simple, Part I: Precision and Recall |
Performance measures for precision and recall in multi-class classification can be a little — or very — confusing, so in this post I’ll explain how precision and recall are used and how they are calculated. It’s actually quite simple! But first, let’s start with a quick recap of precision and recall for binary classification. |
https://towardsdatascience.com/multi-class-metrics-made-simple-part-i-precision-and-recall-9250280bddc2 |
|
Article |
Beginner |
Toma |
March 13, 2021 |
| 528 |
Multi-Class Metrics Made Simple, Part II: the F1-score |
article explains another popular performance measure, the F1-score, or rather F1-scores, as there are at least 3 variants. I’ll explain why F1-scores are used, and how to calculate them in a multi-class setting |
https://towardsdatascience.com/multi-class-metrics-made-simple-part-ii-the-f1-score-ebe8b2c2ca1 |
|
Article |
Beginner |
Toma |
March 13, 2021 |
| 529 |
The People + AI Guidebook |
The Guidebook’s recommendations are based on data and insights from over a hundred individuals across Google product teams, industry experts, and academic research. These six chapters follow the product development flow, and each one has a related worksheet to help turn guidance into action. |
https://pair.withgoogle.com/guidebook/ |
|
Tutorial,Tips |
Beginner |
Toma |
March 13, 2021 |
| 530 |
Audio Classification Model |
Learnable Audio Frontend (LEAF) is a neural network that can be initialized to approximate mel filterbanks, and then be trained jointly with any audio classifier |
https://ai.googleblog.com/2021/03/leaf-learnable-frontend-for-audio.html?m=1 |
|
Article,Tips |
All Levels |
Joanna Pol |
March 13, 2021 |
| 531 |
Combining artificial intelligence and augmented reality in mobile apps |
Augmented reality (AR) and artificial intelligence (AI) are two of the most promising technologies available to mobile app developers. Huge hype cycles and rapidly evolving tools, though, have blurred the lines between the two, making it difficult to tell where AI ends and AR begins. This post aims to disambiguate AR and AI. It covers how AR and AI work together, the current state of SDKs and APIs for each, and some practical ways to combine them to build incredible mobile experiences. |
https://heartbeat.fritz.ai/combining-artificial-intelligence-and-augmented-reality-in-mobile-apps-e0e0ad2cfddc |
|
Article |
All Levels |
Toma |
March 13, 2021 |
| 532 |
Two Macro-F1's |
The bottom line is: there’s more than one macro-F1 score; and data scientists mostly use whatever is available in their software package without giving it a second thought. |
https://towardsdatascience.com/a-tale-of-two-macro-f1s-8811ddcf8f04 |
|
Article |
Beginner |
Toma |
March 13, 2021 |
| 533 |
SEER: The start of a more powerful, flexible, and accessible era for computer vision |
Facebook AI SEER (SElf-supERvised), a new billion-parameter self-supervised computer vision model that can learn from any random group of images on the internet. |
https://ai.facebook.com/blog/seer-the-start-of-a-more-powerful-flexible-and-accessible-era-for-computer-vision/ |
|
Article,Tips |
Intermediate |
Joanna Pol |
March 13, 2021 |
| 534 |
Introduction to Threshold-Moving for Imbalanced Classification |
Classification predictive modeling typically involves predicting a class label. |
https://machinelearningmastery.com/threshold-moving-for-imbalanced-classification/ |
|
Article |
Beginner |
Toma |
March 13, 2021 |
| 535 |
Project management- Google program |
Start your path to a career in project management- Google program |
https://www.coursera.org/professional-certificates/google-project-management |
|
Other,Video |
Beginner |
Joanna Pol |
March 13, 2021 |
| 536 |
Calculate Precision, Recall, and F-Measure for Imbalanced Classification |
Classification accuracy is the total number of correct predictions divided by the total number of predictions made for a dataset. As a performance measure, accuracy is inappropriate for imbalanced classification problems. |
https://machinelearningmastery.com/precision-recall-and-f-measure-for-imbalanced-classification/ |
|
Article |
Beginner |
Toma |
March 13, 2021 |
| 537 |
4 Types of Classification Tasks in Machine Learning |
Machine learning is a field of study and is concerned with algorithms that learn from examples. Classification is a task that requires the use of machine learning algorithms that learn how to assign a class label to examples from the problem domain. An easy to understand example is classifying emails as “spam” or “not spam.” |
https://machinelearningmastery.com/types-of-classification-in-machine-learning/ |
|
Article |
Beginner |
Toma |
March 13, 2021 |
| 538 |
User Persona Examples |
Promoting a product without knowing who your target audience–or what your target audience wants–is an impossible task. You’ll just be making decisions based on what you think they want. That’s not sustainable over the life of any brand. That’s why creating user personas is important for any company that wants to grow. |
https://venngage.com/blog/user-persona-examples/ |
|
Article,Tips |
Beginner |
Toma |
March 13, 2021 |
| 539 |
How to Develop Great B2B Buyer Personas (With Templates) |
A B2B buyer persona represents your ideal client decision-maker. When developing your buyer persona, address all the issues and aspects that may have an impact on how, when, and why the person will buy. These factors include demographic information, patterns of behavior, motivation and goals. |
https://www.clearvoice.com/blog/develop-b2b-buyer-personas-template/ |
|
Article,Tips |
Beginner |
Toma |
March 13, 2021 |
| 540 |
Marketing Plan |
What is a Marketing Plan and How to Make One? |
https://venngage.com/blog/marketing-plan/ |
|
Article |
Beginner |
Toma |
March 13, 2021 |
| 541 |
Growth Strategy |
Plan Your Business Goals With These 5 Templates |
https://venngage.com/blog/growth-strategy/ |
|
Article |
Beginner |
Toma |
March 13, 2021 |
| 542 |
Market Strategy |
How does your business connect with its customers? How do you deliver your unique value to your target customers? How do you go from the initial connection with a potential customer to the fulfillment of your brand promise? |
https://cultbranding.com/ceo/developing-winning-go-to-market-strategy/ |
|
Article,Tips |
All Levels |
Toma |
March 13, 2021 |
| 543 |
TARGET MARKET |
HOW TO FIND YOUR TARGET MARKET |
https://justentrepreneurs.co.uk/finding-your-target-audience/ |
|
Article,Tips |
All Levels |
Toma |
March 13, 2021 |
| 544 |
Style classification and prediction of residential buildings |
Architectural styles machine learning classification prediction residential buildings |
https://www.tandfonline.com/doi/full/10.1080/13467581.2020.1779728 |
|
Research Paper |
Advance |
Toma |
March 13, 2021 |
| 545 |
Machine Learning, Architectural Styles and Property Values |
This paper first introduces an algorithm that collects pictures of individual buildings from Google Street View. Second, it trains a deep convolutional neural network (CNN) to classify residential buildings into architectural styles, taking into account spatial dependencies of these styles. Third, it investigates whether architectural styles influence house prices. For resales , the architectural style is a significant determinant of transaction prices while no such effect is found for new buildings. Additionally, we are able to provide guidance on how to detect and overcome some of the limitations of machine learning methods through a large-scale comparison of predictions and expert classifications. |
https://www.researchgate.net/publication/335946520_Machine_Learning_Architectural_Styles_and_Property_Values |
|
Research Paper |
Advance |
Toma |
March 13, 2021 |
| 546 |
PII |
What is personally identifiable information (PII)? How to protect it under GDPR |
https://www.csoonline.com/article/3215864/how-to-protect-personally-identifiable-information-pii-under-gdpr.html |
|
Article,Tips |
All Levels |
Toma |
March 13, 2021 |
| 547 |
Personally Identifiable Information (PII) |
What Is Personally Identifiable Information (PII)? |
https://www.investopedia.com/terms/p/personally-identifiable-information-pii.asp#citation-4 |
|
Article |
All Levels |
Toma |
March 13, 2021 |
| 548 |
Rethinking Design Tools in the Age of Machine Learning |
article about philosophy of AI / ML |
https://medium.com/artists-and-machine-intelligence/rethinking-design-tools-in-the-age-of-machine-learning-369f3f07ab6c |
|
Article |
All Levels |
Toma |
March 13, 2021 |
| 549 |
World Speeches - Youtube channel from one of our study group #sg_ai_world |
World Speeches - Youtube channel from one of our study group #sg_ai_world |
https://www.youtube.com/channel/UCkQxbQ07_lQAAS_8wLSb2Jg/videos |
|
Video |
All Levels |
Joanna Pol |
March 13, 2021 |
| 550 |
A Unified Tool for the Education of Humans and Machines |
This article is about making machine learning tools more accessible. Author: Patrick Hebron |
https://towardsdatascience.com/a-unified-tool-for-the-education-of-humans-and-machines-63bd7d271e6f |
|
Article |
All Levels |
Toma |
March 13, 2021 |
| 551 |
Computer Vision & AI |
Researchers From Computer Vision Center (CVC) And The University Of Barcelona Conducted A Study That Results In Improved Accuracy On Face Verification Tasks In The Presence Of Other Confounding Attributes |
https://www.marktechpost.com/2021/01/25/researchers-from-computer-vision-center-cvc-and-the-university-of-barcelona-conducted-a-study-that-results-in-improved-accuracy-on-face-verification-tasks-in-the-presence-of-other-confounding-attrib/ |
|
Article |
All Levels |
Toma |
March 13, 2021 |
| 552 |
Machine learning |
Algorithms |
https://media-exp1.licdn.com/dms/image/C4E22AQEzxg6-JG9MCg/feedshare-shrink_800/0/1614729900985?e=1618444800&v=beta&t=mkAjEY0ijfoXDkROK_6u6DsDLC01VWdsLO-JkO53w98 |
|
Cheat Sheets |
All Levels |
Samet Aydın |
March 13, 2021 |
| 553 |
SQL |
Learning SQL |
https://media-exp1.licdn.com/dms/document/C561FAQFHCR1K3Tl8kw/feedshare-document-pdf-analyzed/0/1615635368513?e=1615730400&v=beta&t=KfGfW2gJmYdzoVSJS_fMHwx9WNLE4Ps6fWST0YU0y5c |
|
Book,Tutorial |
Beginner |
Samet Aydın |
March 13, 2021 |
| 554 |
Artificial Intelligence |
Cheat Sheets for AI Neural Networks, Machine Learning, DeepLearning & Big Data |
https://media-exp1.licdn.com/dms/document/C4D1FAQHxYLl9SgnIwQ/feedshare-document-pdf-analyzed/0/1615616237828?e=1615730400&v=beta&t=yzfDH7he3PsPg7umaOOoeYcl_2w4PmGPXtRiC6UQu9E |
|
Cheat Sheets |
Intermediate |
Samet Aydın |
March 13, 2021 |
| 555 |
Python |
A Simple Walk-through with Matplotlib for Data Science |
https://neuraspike.com/blog/matplotlib-tutorial/ |
|
Article |
All Levels |
Samet Aydın |
March 13, 2021 |
| 556 |
Python |
Numpy Tutorial |
https://media-exp1.licdn.com/dms/document/C4E1FAQHbpg16u1jA6g/feedshare-document-pdf-analyzed/0/1615228200424?e=1615734000&v=beta&t=9Iac4GaB7hVKzWO0FdmrTqUsSCNe1fevnxBXW0vlnZY |
|
Cheat Sheets |
All Levels |
Samet Aydın |
March 13, 2021 |
| 557 |
MATLAB |
Machine Learning with MATLAB |
https://uk.mathworks.com/training-schedule/machine-learning-with-matlab.html |
|
Other,Tutorial |
All Levels |
Samet Aydın |
March 13, 2021 |
| 558 |
Medical AI TED Talk |
Brain scans to get better diagnoses. |
https://www.youtube.com/watch?v=esPRsT-lmw8 |
|
Video,Research Paper |
Beginner |
Mario Ruiz |
March 13, 2021 |
| 559 |
A real case of solving and automating an issue with AI |
A fully AI-based system to automate water meter data collection in Morocco country |
https://www.sciencedirect.com/science/article/pii/S2590005621000047 |
|
Article,Research Paper |
Intermediate |
Mario Ruiz |
March 13, 2021 |
| 560 |
Deep learning for COVID-19 chest CT (computed tomography) image analysis: a lesson from lung cancer |
A real case of what we covered in the Udacity Course for the course/challenge: Bertelsmann Technology Scholarship - AI Track |
https://www.sciencedirect.com/science/article/pii/S2001037021000672 |
|
Article,Research Paper |
Intermediate |
Mario Ruiz |
March 13, 2021 |
| 561 |
Data Science |
Professional Certificate in Data Science |
https://www.edx.org/professional-certificate/harvardx-data-science |
|
Other |
All Levels |
Samet Aydın |
March 14, 2021 |
| 562 |
Data Science |
What is Data Science? |
https://www.edureka.co/blog/what-is-data-science/ |
|
Article,Tips |
Beginner |
Samet Aydın |
March 14, 2021 |
| 563 |
AWS |
MLOps: Continuous Delivery for Machine Learning on AWS |
https://media-exp1.licdn.com/dms/document/C561FAQHuO7aYPosq1Q/feedshare-document-pdf-analyzed/0/1615148144347?e=1615806000&v=beta&t=llTuAXlwqLIeaB-suCSmdk6BMwIYt7GrU4UeCTx_O5w |
|
Notes,Tips,Tutorial |
Advance |
Samet Aydın |
March 14, 2021 |
| 564 |
Computer Vision |
How Computer Vision Works |
https://www.youtube.com/watch?v=OcycT1Jwsns |
|
MOOC |
Beginner |
Samet Aydın |
March 14, 2021 |
| 565 |
Data Mining |
Data Mining Techniques in Analyzing Process Data: A Didactic |
https://www.frontiersin.org/articles/10.3389/fpsyg.2018.02231/full |
|
Article |
All Levels |
Samet Aydın |
March 14, 2021 |
| 566 |
Marketing, Digital transformation, Trends |
4 COVID-era trends that will have a lasting impact on the products and experiences people want |
https://www.thinkwithgoogle.com/future-of-marketing/digital-transformation/covid-trends-1-year/?utm_medium=email&utm_source=d-content-alert-visual&utm_team=twg-us&utm_campaign=TwG-US-CAV-2021-03-15-Thought-Starter-Covid-look-back&utm_content=cta-btn&mkt_tok=MTcyLUdPUC04MTEAAAF71TP0y6mKKeYPWFHQhD-ZAukAYF5vPBUmmvstdk-JJDI7Dyi2_7-h7lDWkBHcoqIF7idd-x79ukJ2yxdzybvs7_XQpyiibM_CSNmDV_bw9eubGQ |
|
Article,Tips |
All Levels |
Joanna Pol |
March 15, 2021 |
| 567 |
Consumer Trends after Covid-19 |
Pivots from the pandemic that are here to stay |
https://www.thinkwithgoogle.com/consumer-insights/consumer-trends/pandemic-learnings/?utm_medium=email&utm_source=d-content-alert-visual&utm_team=twg-us&utm_campaign=TwG-US-CAV-2021-03-15-Thought-Starter-Covid-look-back&utm_content=cta-text1&mkt_tok=MTcyLUdPUC04MTEAAAF71TP0y_oTh9qrNjE3KurcxG6hAykn03mp74z0NtUFtLMBskkF21jwo15JJld-r-DqOziv7b5-EfTFEx0UQ2zVcd--cMHrC6g1N4GJ558O8MXmlw |
|
Article |
All Levels |
Joanna Pol |
March 15, 2021 |
| 568 |
concepts and philosophy of AI by Patrick Hebron |
work focuses on the emerging intersections between machine learning, design tools, programming languages and operating systems. I have also studied computer graphics, aesthetic philosophy, art and film. I come from a family of progressive educators who have greatly influenced my thinking about intelligence and toolmaking. |
https://www.patrickhebron.com/ |
|
Article,Research Paper,Tips,Notes |
All Levels |
Toma |
March 15, 2021 |
| 569 |
Bias in AI |
When Google forced out two well-known artificial intelligence experts, a long-simmering research controversy burst into the open. |
https://www.nytimes.com/2021/03/15/technology/artificial-intelligence-google-bias.html |
|
Article |
Beginner |
Mario Ruiz |
March 15, 2021 |
| 570 |
AI Crash Course |
The topic of AI, the whole field and philosophical questions. |
https://www.youtube.com/watch?v=a0_lo_GDcFw&vl=en |
|
Video |
Beginner |
Jan S |
March 15, 2021 |