500 khóa học Online Programming & Computer Science miễn phí nên học ngay trong tháng 9 (phần 3)

1313

PHẦN 1 – PHẦN 2

ADVANCED(85)

Machine Learning Foundations: A Case Study Approach
University of Washington via Coursera

Deep Learning
Google via Udacity

Creative Applications of Deep Learning with TensorFlow
via Kadenze

[New] Structuring Machine Learning Projects
deeplearning.ai via Coursera

[New] Introduction to Artificial Intelligence (AI)
Microsoft via edX

[New] Neural Networks and Deep Learning
deeplearning.ai via Coursera

[New] Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
deeplearning.ai via Coursera

Neural Networks for Machine Learning
University of Toronto via Coursera

Machine Learning: Regression
University of Washington via Coursera

Probabilistic Graphical Models 1: Representation
Stanford University via Coursera

Machine Learning for Data Science and Analytics
Columbia University via edX

Bitcoin and Cryptocurrency Technologies
Princeton University via Coursera

Machine Learning for Data Science and Analytics
Columbia University via edX

Machine Learning for Trading
Georgia Institute of Technology via Udacity

Machine Learning With Big Data
University of California, San Diego via Coursera

Hardware Security
University of Maryland, College Park via Coursera

Artificial Intelligence (AI)
Columbia University via edX

Artificial Intelligence (AI)
Columbia University via edX

Computational Neuroscience
University of Washington via Coursera

Machine Learning: Classification
University of Washington via Coursera

Reinforcement Learning
Brown University via Udacity

Intro to Parallel Programming
Nvidia via Udacity

Interactive 3D Graphics
Autodesk via Udacity

Applied Cryptography
University of Virginia via Udacity

Introduction to Computer Vision
Georgia Institute of Technology via Udacity

Enabling Technologies for Data Science and Analytics: The Internet of Things
Columbia University via edX

Practical Deep Learning For Coders, Part 1
fast.ai via Independent

Parallel programming
École Polytechnique Fédérale de Lausanne via Coursera

Machine Learning
Georgia Institute of Technology via Udacity

Introduction to Computer Architecture
Carnegie Mellon University via Independent

Advanced Operating Systems
Georgia Institute of Technology via Udacity

Machine Learning: Clustering & Retrieval
University of Washington via Coursera

Practical Predictive Analytics: Models and Methods
University of Washington via Coursera

Probabilistic Graphical Models 2: Inference
Stanford University via Coursera

Machine Learning
Columbia University via edX

Machine Learning
Columbia University via edX

Regression Modeling in Practice
Wesleyan University via Coursera

Quantitative Formal Modeling and Worst-Case Performance Analysis
EIT Digital via Coursera

Applied Machine Learning in Python
University of Michigan via Coursera

Introduction to Operating Systems
Georgia Institute of Technology via Udacity

Nearest Neighbor Collaborative Filtering
University of Minnesota via Coursera

Computational Photography
Georgia Institute of Technology via Udacity

Knowledge-Based AI: Cognitive Systems
Georgia Institute of Technology via Udacity

Intro to Information Security
Georgia Institute of Technology via Udacity

Learn TensorFlow and deep learning, without a Ph.D.
Google via Independent

Machine Learning 1 — Supervised Learning
Brown University via Udacity

6.S094: Deep Learning for Self-Driving Cars
Massachusetts Institute of Technology via Independent

Computability, Complexity & Algorithms
Georgia Institute of Technology via Udacity

Reliable Distributed Algorithms, Part 1
KTH Royal Institute of Technology via edX

High Performance Computer Architecture
Georgia Institute of Technology via Udacity

Embedded Hardware and Operating Systems
EIT Digital via Coursera

Relational Database Support for Data Warehouses
University of Colorado System via Coursera

Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud
University of Illinois at Urbana-Champaign via Coursera

6.S191: Introduction to Deep Learning
Massachusetts Institute of Technology via Independent

Introduction to Formal Concept Analysis
Higher School of Economics via Coursera

Approximation Algorithms Part II
École normale supérieure via Coursera

Introduction to Recommender Systems: Non-Personalized and Content-Based
University of Minnesota via Coursera

Discrete Mathematics – Shanghai Jiao Tong University via Coursera

Information Security: Context and Introduction
University of London International Programmes via Coursera

Recommender Systems: Evaluation and Metrics
University of Minnesota via Coursera

System Validation (2): Model process behaviour – EIT Digital via Coursera

Advanced Modeling for Discrete Optimization
University of Melbourne via Coursera

Distributed Programming in Java
Rice University via Coursera

Basic Modeling for Discrete Optimization
University of Melbourne via Coursera

Concurrent Programming in Java
Rice University via Coursera

Deep Learning Explained
Microsoft via edX

Continuous Integration and Deployment
via Udacity

Deep Learning for Natural Language Processing
University of Oxford via Independent

Computer System Design: Advanced Concepts of Modern Microprocessors
Chalmers University of Technology via edX

Nature, in Code: Biology in JavaScript
École Polytechnique Fédérale de Lausanne via edX

Introduction to OpenStack – Linux Foundation via edX

GT — Refresher — Advanced OS
Georgia Institute of Technology via Udacity

High Performance Computing
Georgia Institute of Technology via Udacity

Deep Learning Summer School
via Independent

Statistical Machine Learning
Carnegie Mellon University via Independent

Introduction to Cloud Foundry and Cloud Native Software Architecture
Linux Foundation via edX

System Validation: Automata and behavioural equivalences
EIT Digital via Coursera

System Validation (4): Modelling Software, Protocols, and other behaviour
EIT Digital via Coursera

System Validation (3): Requirements by modal formulas
EIT Digital via Coursera

Matrix Factorization and Advanced Techniques
University of Minnesota via Coursera

Compilers: Theory and Practice – Georgia Institute of Technology via Udacity

Artificial Intelligence – Georgia Institute of Technology via Udacity

Cyber-Physical Systems Security – Georgia Institute of Technology via Udacity

Network Security – Georgia Institute of Technology via Udacity

Parallel Programming in Java – Rice University via Coursera

Nguồn: medium.freecodecamp.org