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100 Advanced Level Online Free Courses For Programming Language and Computer Science, Part-6
- Machine Learning Foundations: A Case StudyApproach from University of Washington
- Machine Learning: Regression from University ofWashington
- Machine Learning for Data Science and Analyticsfrom Columbia University
- Neural Networks for Machine Learning fromUniversity of Toronto
- Probabilistic Graphical Models Representation from Stanford University
- Intro to Deep Learning from Google
- Creative Applications of Deep Learning withTensorFlow
- Machine Learning With Big Data from Universityof California, San Diego
- Machine Learning for Trading from GeorgiaInstitute of Technology
- Hardware Security from University of Maryland,College Park
- Bitcoin and Cryptocurrency Technologies fromPrinceton University
- Introduction to Artificial Intelligence fromStanford University
- Computational Neuroscience from University ofWashington
- Reinforcement Learning from Brown University
- Machine Learning: Classification fromUniversity of Washington
- Intro to Parallel Programming from Nvidia
- Advanced Operating Systems from GeorgiaInstitute of Technology
- Introduction to Computer Vision from GeorgiaInstitute of Technology
- Enabling Technologies for Data Science andAnalytics: The Internet of Things from Columbia University
- Interactive 3D Graphics from Autodesk
- Machine Learning from Georgia Institute ofTechnology
- Applied Cryptography from University ofVirginia
- Parallel programming from Ecole PolytechniqueFederale de Lausanne
- Introduction to Computer Architecture fromCarnegie Mellon University
- Probabilistic Graphical Models 2: Inferencefrom Stanford University
- Machine Learning: Clustering and Retrievalfrom University of Washington
- Practical Predictive Analytics: Models andMethods from University of Washington
- Regression Modeling in Practice from WesleyanUniversity
- Quantitative Formal Modeling and Worst-CasePerformance Analysis from EIT Digital
- Cryptography II from Stanford University
- Nearest Neighbor Collaborative Filtering fromUniversity of Minnesota
- Introduction to Operating Systems from GeorgiaInstitute of Technology
- High Performance Computer Architecture fromGeorgia Institute of Technology
- Computability, Complexity & Algorithms fromGeorgia Institute of Technology
- Computational Photography from GeorgiaInstitute of Technology
- Artificial Intelligence (AI) from ColumbiaUniversity
- Cloud Computing Applications, Part 2: Big Dataand Applications in the Cloud from University of Illinois at Urbana-Champaign
- Relational Database Support for Data Warehousesfrom University of Colorado System
- Practical Deep Learning For Coders, Part 1 fromfast.ai
- Convolutional Neural Networks fromdeeplearning.ai
- Introduction to Deep Learning fromMassachusetts Institute of Technology
- Deep Learning for Self-Driving Carsfrom Massachusetts Institute of Technology
- Computation Structures 3: Computer Organizationfrom Massachusetts Institute of Technology
- Applied Machine Learning in Python fromUniversity of Michigan
- High Performance Computing from GeorgiaInstitute of Technology
- GT Refresher Advanced OS from Georgia Instituteof Technology
- Intro to Information Security from GeorgiaInstitute of Technology
- Knowledge-Based AI: Cognitive Systems fromGeorgia Institute of Technology
- Artificial Intelligence from Georgia Instituteof Technology
- Cyber-Physical Systems Security from GeorgiaInstitute of Technology
- Network Security from Georgia Institute ofTechnology
- Compilers: Theory and Practice from GeorgiaInstitute of Technology
- Machine Learning from Georgia Institute ofTechnology
- Machine Learning from Georgia Institute ofTechnology
- Cyber-Physical Systems Design and Analysisfrom Georgia Institute of Technology
- Machine Learning from Columbia University
- NP-Complete Problems from University of California, San Diego
- Parallel Programming in Java from RiceUniversity
- Distributed Programming in Java from RiceUniversity
- Concurrent Programming in Java from RiceUniversity
- Information Security: Context and Introductionfrom University of London International Programmes
- Basic Modeling for Discrete Optimization fromUniversity of Melbourne
- Solving Algorithms for Discrete Optimizationfrom University of Melbourne
- Advanced Modeling for Discrete Optimization fromUniversity of Melbourne
- MATLAB et Octave pour debutants from Ecole Polytechnique Federale de Lausanne
- Nature, in Code: Biology in JavaScript from Ecole Polytechnique Federale de Lausanne
- Higher School of Economics
- Introduction to Deep Learning from HigherSchool of Economics
- Natural Language Processing from Higher Schoolof Economics
- Bayesian Methods for Machine Learning fromHigher School of Economics
- Introduction to Formal Concept Analysis fromHigher School of Economics
- Higher School of Economics
- Deep Learning in Computer Vision from HigherSchool of Economics
- Cloud Computing Management from University System of Maryland
- Deploying Applications with Heroku
- How to create in Android
- The MVC Pattern in Ruby
- Developing Android Apps
- Learn Backbone.js
- VR Scenes and Objects
- UIKit Fundamentals
- C++ For Programmers
- Fundamentals of Red Hat Enterprise Linux from Red Hat
- SQL for Data Analysis
- Hacker101 from HackerOne
- iOS Persistence and Core Data
- Fundamentals of Parallelism on Intel Architecture from Intel
- Android Basics: Data Storage
- iOS Networking with Swift
- iOS Design Patterns
- Building iOS Interfaces
- How to Make an iOS App
- VR Design
- An Introduction to Practical Deep Learning from Intel
- Fundamentals of Containers, Kubernetes, and Red Hat OpenShift from Red Hat
- Swift for Developers
- VR Platforms & Applications
- Dynamic Web Applications with Sinatra
- Designing RESTful APIs
- Deep Learning Explained from Microsoft