Awesome Machine Learning Resources and References

“Machine Learning is the science of getting computers to learn and act like humans do, and improve their learning over time in autonomous fashion, by feeding them data and information in the form of observations and real-world interactions.” Daniel Faggella

• Machine Learning
  • Supervised
    • Regression
    • Classification
  • Unsupervided
  • Semi-supervised
  • Reinforcement
• Deep Learning
• Special Algorithms and Techniques
• Libraries and Programming Languages
• Exams and Certifications
• Software and Tools
  • Data Science Software Platforms
  • APIs
• Learn ML
  • ebooks
  • Videos
  • Podcast
  • Tutorials
  • Articles
• ML for Good
• Special Technologies and Videos
• Special Performance ⚡

Supervised learning is a method used to enable machines to classify objects, problems or situations based on related data fed into the machines. (techopedia.com)

Predict continuous values

• Top 6 Regression Algorithms Used In Data Mining And Their Applications In Industry

• Introduction to Machine Learning Algorithms: Linear Regression - Rohith Gandhi
• Is Regression Analysis Really Machine Learning? - Matthew Mayo, KDnuggets
• Linear Regression Example - scikit-learn
• Essentials of Linear Regression in Python - Sayak Paul
• Linear Regression with Python - Hardik Jaroli
• Linear Regression Algorithm from Scratch - edureka
• Introduction and regression (IBM) ⭐
• How well does your regression equation truly represent your set of data - Correlation Coefficient, r and Coefficient of Determination, r 2 or R2
• Graphing On The Coordinate Plane (Algebra Basics) 📺 - Math Antics

• An Introduction to Support Vector Regression (SVR) - Tom Sharp (March 2020)

• Introduction to Feature Selection and Backward Elimination - Mayank Shah

• R2, MAE, MSE, RMSE

Predict discrete values

• Naive Bayes Classifier - Rohith Gandhi (May 2018)

• A visual introduction to machine learning - Ineractive story-scrolling
• Decision Trees (MLU) - mlu-explain.github.io

• SVM Classifier and RBF Kernel — How to Make Better Models in Python - Saul Dobilas (January 2017)

• Understanding the concept of Hierarchical clustering Technique - Chaitanya Reddy Patlolla (December 2018)

• Neural Network Architectures - Steve Brunton

• 3Blue1Brown

  • But what is a Neural Network? - Deep learning, chapter 1

• Accuracy, AUC

Unsupervised learning is a method used to enable machines to classify both tangible and intangible objects without providing the machines any prior information about the objects. (techopedia.com)

Find distributions

• Visualizing K-Means algorithm with D3.js

• The 5 Clustering Algorithms Data Scientists Need to Know - George Seif

Market Basket Analysis and Recommender Systems

• A Hands-On Guide To Dimensionality Reduction (Feb 2019)
• Topic Modeling and Latent Dirichlet Allocation (LDA) in Python - Latent Dirichlet Allocation (LDA) is an example of topic model and is used to classify text in a document to a particular topic.

Reinforcement learning, in the context of artificial intelligence, is a type of dynamic programming that trains algorithms using a system of reward and punishment (techopedia.com), some applications of the reinforcement learning algorithms are computer played board games (Chess, Go), robotic hands, and self-driving cars.

• What is the difference between Deep Learning and Machine Learning?
• Teachable Machine - Train a computer to recognize your own images, sounds, & poses.
• Model Asset eXchange - IBM - A place for developers to find and use free and open source deep learning models.

aka Neural Network (NN), designed to simulate the way the human brain analyzes and processes information.

Used in the field of Computer Vision.

Used in Natural Language Processing.

Natural language processing (NLP) is a form of AI that extracts meaning from human language to make decisions based on the information.

• 5 Amazing Examples Of Natural Language Processing (NLP) In Practice - Bernard Marr
• Your Guide to Natural Language Processing (NLP)
• What is Natural Language Processing (NLP)? (Video) - Bernard Marr

• Fake Videos of Real People (TED) - Do you think you're good at spotting fake videos, where famous people say things they've never said in real life?

• Fake Anything: "The Art of Deep Learning" - Deep-Fake, GANs, Digital Art and a Live Hands-On Session - (June 2020)
• Understanding Generative Adversarial Networks (GANs) - Building, step by step, the reasoning that leads to GANs (January 2019)
• Nvidia AI Makes Artists Out of Everyone - (March 2019)
  • Nvidia GauGAN tool - gaugan.org
• Deep Dream
• Style Transfer

• Survival Analysis (March 2018) - An introduction to the concepts of Survival Analysis and its implementation in lifelines package for Python.

• VisuAlgo - visualising data structures and algorithms through animation

• Netflix Recommendation System (Course) -
• Introduction to Recommender System - Introduction to Recommender System. Part 1 (Collaborative Filtering, Singular Value Decomposition)

• How predictive delivery has shaped the logistics sector - EuroSender

• Custom Vision - Microsoft

• Image classification from scratch in keras - Beginner friendly, intermediate exciting and expert refreshing.
• How to Perform Face Detection with Deep Learning

• Monte Carlo Simulation (Video) - MIT OpenCourseWare

• The Quicksort Algorithm is a systematic routine for sorting elements of an array. It is efficient when compared to other common sorting algorithms, and it is considered unstable because the relative order of equal elements is not guaranteed.

• ML.NET
  • ML.NET - An open source and cross-platform machine learning framework
  • Announcing ML.NET 1.2 and Model Builder updates

• Awesome Python - Resources and References

• Awesome R - Resources and References

• New AI programming language goes beyond deep learning (MIT) - General-purpose language works for computer vision, robotics, statistics, and more.

• CertNexus - Emerging Technology Certifications

• KNIME - KNIME, the Konstanz Information Miner, is a free and open-source data analytics, reporting and integration platform
  • KNIME Server
  • KNIME WebPortal
• RapidMiner - RapidMiner is a data science platform for teams that unites data prep, machine learning, and predictive model deployment.
• Weka - Weka is a collection of machine learning algorithms for data mining tasks. It contains tools for data preparation, classification, regression, clustering, association rules mining, and visualization.
• AzureML - Microsoft Azure Machine Learning Studio
• IBM Watson - Powered by the latest innovations in machine learning, Watson is the open, multicloud platform that lets you automate the AI lifecycle. Build powerful models from scratch, or speed time-to-value with pre-built enterprise apps.
• H2O - Open Source Leader in AI and ML
• Alteryx - A leader in data science and self-service analytics
• ONNX - ONNX is an open format to represent deep learning models. With ONNX, AI developers can more easily move models between state-of-the-art tools and choose the combination that is best for them. ONNX is developed and supported by a community of partners.

• Cognitive Services (Microsoft)
• IBM Watson
• Google Cloud AI
• Machine Learning on AWS

• Machine Learning for Beginners - Microsoft
• Machine Learning Crash Course with TensorFlow APIs
• NVIDIA Deep Learning Institute - nvidia.com

• AI Expert Roadmap i.am.ai

• Approaching (almost) any machine learning problem - Abhishek Thakur
• 100+ Free Data Science Books for 2021 - theinsaneapp.com
• Machine Learning from Scratch - Danny Friedman
• Interpretable Machine Learning
• What Is MLOps? - Generating Long-Term Value from Data Science & Machine Learning
• Machine Learning For Dummies®, IBM Limited Edition
• Data Science at the Command Line (Free) - datascienceatthecommandline.com

• Machine Learning Glossary

• Machine Learning Zero to Hero (Google I/O'19) - This is a talk for people who know code, but who don’t necessarily know machine learning.
• Data Mining with Weka - Weka MOOC
• Machine Learning Recipes - Machine Learning Recipes with Josh Gordon
• A Gentle Introduction to Machine Learning - StatQuest with Josh Starmer

• Gradient Dissent - A Machine Learning Podcast by W&B

• Introduction To Machine Learning With Python Course (FREE) - marktechpost.com
• 130 Machine Learning Projects Solved and Explained
• Introduction to AI with David Carmona

• Data Science Curriculum for self-study - Benjamin Obi Tayo

• Objectives for AI applications (Google) - ai.google
• Which machine learning algorithm should I use? (SAS) - sas.com
• What Is Artificial Intelligence? - gartner.com
• Edge AI, is This the End of Cloud? - Nadav Gover (15 April 2021)
• 4 Intersecting Domains That You Can Easily Confuse with Artificial Intelligence - Orhan G. Yalçın (19 December 2020)
• The Roadmap of Mathematics for Deep Learning - towardsdatascience.com
• Towards the end of deep learning and the beginning of AGI - Javier Ideami (March 2021)
• Machine Learning Algorithms and the Data Pros Who Use Them - Bob Hayes (February 2021)
• Best Practices for Feature Engineering
  • Coming up with features is difficult, time-consuming, requires expert knowledge. “Applied machine learning” is basically feature engineering. ~ Andrew Ng
• Pattern Recognition: The basis of Human and Machine Learning - analyticsvidhya.com
• The Ultimate Guide to Learning About Artificial Intelligence -Adam Maj (April 2020)
• Big O notation - MIT
• StyleGAN: Use machine learning to generate and customize realistic images - Jamshed Khan (July 2019)
• Monitoring Machine Learning Models in Production - (March 2020)
• Artificial Intelligence (AI) vs. Machine Learning vs. Deep Learning - Chris Nicholson
• Top Algorithms and Methods Used by Data Scientists - KDnuggets
• Understanding Key Terms in AI - Rajesh Narayanan
• Microsoft has a wild hologram that translates HoloLens keynotes into Japanese
• Novel AI tools to accelerate cancer research
• Why One-Hot Encode Data in Machine Learning?
• Artificial Intelligence, Machine Learning, and Deep Learning: Same context, Different concepts
• Few Industries Have More To Offer And To Gain From Big Data Than Telecommunications
• Supervised and Unsupervised Learning - Vineet Maheshwari
• Data science and machine learning - Collaborate across teams, use the top open source tools and scale at the speed your business requires with this leading data science platform.
• A Complete Machine Learning Project Walk-Through in Python: Part One
• A Complete Machine Learning Walk-Through in Python: Part Two
• Machine Learning Resources
• The Birthplace of AI - The 1956 Dartmouth Workshop
• The Seven Patterns Of AI - Kathleen Walch

• 2 Megatrends Dominate the Gartner Hype Cycle for Artificial Intelligence, 2020 - gartner.com

• Deep learning algorithm does as well as dermatologists in identifying skin cancer - Stanford (January 2017)

• Welcome AI - AI Products, Case Studies, Technologies and more

• backronym - Wow
  • How to generate ideas in Machine Learning?

• BlueDot - BlueDot’s outbreak risk software safeguards lives by mitigating exposure to infectious diseases that threaten human health, security, and prosperity (bluedot.global)
• Talk to Transformer - See how a modern neural network completes your text (talktotransformer.com)
• Salma - The world's first Arabic personal voice assistant.
• This person does NOT exist - Every single photo on the site has been created by using a special kind of artificial intelligence algorithm called generative adversarial networks (GANs).
• PREDPOL - Predict critical events and gain actionable insight
• Towards a Conversational Agent that Can Chat About…Anything (Meena) - Brain Team (Google AI)

• Why you should be using active learning to build ML - marktechpost.com
• AI 50: America’s Most Promising Artificial Intelligence Companies - (July 2020)
• Coronavirus: How Artificial Intelligence, Data Science And Technology Is Used To Fight The Pandemic - Bernard Marr (March 2020)
• Biased Algorithms Learn From Biased Data - Annie Brown (February 2020)
• Never mind killer robots—here are six real AI dangers to watch out for in 2019 - by Will Knight and Karen Hao (January 2019)
• The Dark Secret at the Heart of AI - "No one really knows how the most advanced algorithms do what they do. That could be a problem" - Will Knight (April 2017)
• A Guide to Real World Artificial Intelligence & Machine Learning Use Cases

• Artificial Intelligence Today with Prof. Stuart Russell - Bernard Marr
• Project Omote (Real-Time Face Tracking & Projection Mapping) - Project Omote is a collaboration between Japanese director Nobumichi Asai, makeup artist Hiroto Kuwahara and French digital image engineer Paul Lacroix.
• Introducing Quantum Impact - Microsoft (February 2020)
• Samsung's NEON Revealed - Leaked Trailer Looks Perfectly Human! - Good Content | Tech (January 2020)
• The City of the Future - Elon Musk (December 2019)
• How Close Are We to a Complete Map of the Human Brain? - Seeker (May 2019)
  • This map of a fly’s brain connectivity is the best we’ve ever seen - MIT Technology Review (January 2020)
• Will Self-Taught, A.I. Powered Robots Be the End of Us? - World Science Festival (March 2019)
• "Project Soli" The Untouched | Developed by Google - Baggage Of Knowledge (January 2019)
• Artificial Intelligence: Mankind's Last Invention - "It could be terrible and it could be great. It's not clear!" Aperture (October 2018)
• Interfacing with devices through silent speech - MIT Media Lab (April 2018)
• What is the Cambridge Analytica scandal? - The Guardian (March 2018)
• The Real Reason to be Afraid of Artificial Intelligence - Peter Haas (December 2017)
• Drones of the Future are Here! AI, Autonomous Weapons - (November 2017)
• The incredible inventions of intuitive AI | Maurice Conti - (March 2017)
• Introducing Amazon Go and the world’s most advanced shopping technology - Amazon (December 2016)
• Science Documentary 2016 | Big Data - Best Documentary (November 2016)
• Can we build AI without losing control over it? - Sam Harris (October 2016)
• Satya Nadella introducing Seeing AI Prototype at Build 2016 conference (Microsoft Research) - Shaikh, who lost his sight when he was seven, helped develop the project, which uses computer vision and natural language processing to describe a person's surroundings, read text, answer questions and even identify emotions on people's faces. (April 2016)
• Meet the dazzling flying machines of the future | Raffaello D'Andrea - (March 2016)
• Robots
  • BBC Documentary - Hyper Evolution : Rise Of The Robots (Part 1) - (April 2018)
  • BBC Documentary - Hyper Evolution : Rise Of The Robots (Part 2) - (May 2018)
  • BBC Documentary - Hyper Evolution : Rise Of The Robots (Part 3) - (May 2018)

• Top500 - TOP500 Becomes a Petaflop Club for Supercomputers
  • Lists
• Blue Gene (IBM) - IBM
• Mira - Mira Ushers in a New Era of Scientific Supercomputing
• Quantum
  • Quantum Computing (Microsoft)
  • Google claims it has finally reached quantum supremacy
  • Quantum Computing (IBM)