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The following is a list of free or paid online courses on machine learning, statistics, data-mining, etc.
2016-11-03 09:46:05 +00:00
## Machine-Learning / Data Mining
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* [Artificial Intelligence (Columbia University) ](https://www.edx.org/course/artificial-intelligence-ai-columbiax-csmm-101x-0 ) - free
* [Machine Learning (Columbia University) ](https://www.edx.org/course/machine-learning-columbiax-csmm-102x-0 ) - free
2016-11-03 10:00:06 +00:00
* [Machine Learning (Stanford University) ](https://www.coursera.org/learn/machine-learning ) - free
2017-08-27 16:38:42 +00:00
* [Deep Learning Specialization (by Andrew Ng, deeplearning.ai) ](https://www.coursera.org/specializations/deep-learning ) - Courses: I Neural Networks and Deep Learning; II Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; III Structuring Machine Learning Projects; IV Convolutional Neural Networks; V Sequence Models; Paid for grading/certification, financial aid available, free to audit
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* [Deep Learning Nano Degree on Udacity ](https://www.udacity.com/course/deep-learning-nanodegree--nd101 ) - $
* [Intro to Deep Learning (MIT) ](http://introtodeeplearning.com/ )
* [Stanford's CS20 Tensorflow for Deep Learning Research ](http://web.stanford.edu/class/cs20si/ )
2022-12-14 00:49:43 +00:00
* [fast.ai ](https://www.fast.ai/ ) - deep learning MOOC
* [Full-Stack Deep Learning ](https://fullstackdeeplearning.com/ )
2022-07-08 22:00:58 +00:00
* [Amazon's MLU-Explain ](https://mlu-explain.github.io/ ) - Visual, Interactive Explanations of Core Machine Learning Concepts
2016-11-03 10:00:06 +00:00
* [Machine Learning Specialization (University of Washington) ](https://www.coursera.org/specializations/machine-learning ) - Courses: Machine Learning Foundations: A Case Study Approach, Machine Learning: Regression, Machine Learning: Classification, Machine Learning: Clustering & Retrieval, Machine Learning: Recommender Systems & Dimensionality Reduction,Machine Learning Capstone: An Intelligent Application with Deep Learning; free
2017-01-22 06:41:06 +00:00
* [Machine Learning Course (2014-15 session) (by Nando de Freitas, University of Oxford) ](https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearning/ ) - Lecture slides and video recordings.
* [Learning from Data (by Yaser S. Abu-Mostafa, Caltech) ](http://www.work.caltech.edu/telecourse.html ) - Lecture videos available
2017-07-12 14:12:29 +00:00
* [Intro to Machine Learning ](https://www.udacity.com/course/intro-to-machine-learning--ud120 ) - free
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* [Probabilistic Graphical Models (by Prof. Daphne Koller, Stanford) ](https://www.coursera.org/specializations/probabilistic-graphical-models ) Coursera Specialization
2017-08-01 07:38:14 +00:00
* [Reinforcement Learning Course (by David Silver, DeepMind) ](https://www.youtube.com/watch?v=2pWv7GOvuf0&list=PLzuuYNsE1EZAXYR4FJ75jcJseBmo4KQ9- ) - YouTube playlist and [lecture slides ](http://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching.html ).
2017-10-08 07:19:04 +00:00
* [Keras in Motion ](https://www.manning.com/livevideo/keras-in-motion ) $
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* [Stanford's CS231n: CNNs for Visual Recognition ](https://www.youtube.com/watch?v=vT1JzLTH4G4&index=1&list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv ) - Spring 2017 iteration, instructors (Fei-Fei Li, Justin Johnson, Serena Yeung), or [Winter 2016 edition ](https://www.youtube.com/watch?v=NfnWJUyUJYU&list=PLkt2uSq6rBVctENoVBg1TpCC7OQi31AlC ) instructors (Fei-Fei Li, Andrej Karpathy, Justin Johnson). [Course website ](http://cs231n.github.io/ ) has supporting material.
2017-11-09 06:25:13 +00:00
* [University of California, Berkeley's CS294: Deep Reinforcement Learning ](https://www.youtube.com/watch?v=8jQIKgTzQd4&list=PLkFD6_40KJIwTmSbCv9OVJB3YaO4sFwkX ) - Fall 2017 edition. [Course website ](http://rll.berkeley.edu/deeprlcourse/ ) has lecture slides and other related material.
2018-07-13 14:29:59 +00:00
* [Machine Learning (Georgia Tech) on Udacity ](https://www.udacity.com/course/machine-learning--ud262 ) - free
* [Reinforcement Learning (Georgia Tech) on Udacity ](https://www.udacity.com/course/reinforcement-learning--ud600 ) - free
2017-11-01 02:35:34 +00:00
* [Machine Learning for Trading ](https://www.udacity.com/course/machine-learning-for-trading--ud501 ) - free
2019-01-21 14:31:16 +00:00
* [Mining of Massive Datasets ](https://www.youtube.com/watch?v=xoA5v9AO7S0&list=PLLssT5z_DsK9JDLcT8T62VtzwyW9LNepV ) (YouTube playlist) - Course [website ](http://mmds.org/ ) has info about accompanying book, free chapters, and Stanford's [MOOC ](https://lagunita.stanford.edu/courses/course-v1:ComputerScience+MMDS+SelfPaced/about )
2018-03-15 17:07:54 +00:00
* [Machine Learning Crash Course (Google) ](https://developers.google.com/machine-learning/crash-course/ ) - free
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* [Machine Learning Mini Bootcamp Course (LambdaSchool) ](https://lambdaschool.com/courses/data-science/intro/ ) - free and $
2018-04-06 09:48:46 +00:00
* [Microsoft Professional Program for Artificial Intelligence ](https://academy.microsoft.com/en-us/professional-program/tracks/artificial-intelligence/ ) - free
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* [Open Machine Learning Course ](https://github.com/Yorko/mlcourse.ai ) with [articles ](https://medium.com/open-machine-learning-course ) on Medium
2018-08-04 20:40:55 +00:00
* [Machine Learning A-Z (Udemy) ](https://www.udemy.com/machinelearning/ ) - Hands-On Python & R In Data Science
2018-12-07 20:41:24 +00:00
* [Deep Learning Crash Course ](https://www.manning.com/livevideo/deep-learning-crash-course ) - $
2019-03-07 09:19:46 +00:00
* [Reinforcement Learning in Motion ](https://www.manning.com/livevideo/reinforcement-learning-in-motion ) - $
2019-10-24 17:51:02 +00:00
* [Udemy A-Z Machine learning course ](https://www.udemy.com/course/machinelearning/ ) - $
2020-07-02 23:50:43 +00:00
* [Statistics and Probability-Khan Academy ](https://www.khanacademy.org/math/statistics-probability ) - free
2020-04-23 16:42:30 +00:00
* [Math and Architectures of Deep Learning ](https://www.manning.com/books/math-and-architectures-of-deep-learning ) - $
2020-04-27 19:17:41 +00:00
* [Deep Learning with Python, Second Edition ](https://www.manning.com/books/deep-learning-with-python-second-edition ) - $
2020-05-04 16:53:44 +00:00
* [Transfer Learning for Natural Language Processing ](https://www.manning.com/books/transfer-learning-for-natural-language-processing ) - $
2020-09-01 12:40:12 +00:00
* [Grokking Artificial Intelligence Algorithms ](https://www.manning.com/books/grokking-artificial-intelligence-algorithms ) - $
2020-09-30 13:15:12 +00:00
* [Learn ML from experts at Google ](https://ai.google/education/ ) - free
* [Kaggle courses on ML,AI and DS(certificate) ](https://www.kaggle.com/learn/overview ) - free
* [Ml with python(Cognitive classes) ](https://cognitiveclass.ai/courses/machine-learning-with-python ) - free
* [Intro to Data science(Cognitive classes) ](https://cognitiveclass.ai/courses/data-science-101 ) - free
2020-09-17 14:16:14 +00:00
* [Machine Learning for Business ](https://www.manning.com/books/machine-learning-for-business ) - $
2020-09-30 13:23:30 +00:00
* [Transfer Learning for Natural Language Processing ](https://www.manning.com/books/transfer-learning-for-natural-language-processing ) - $
2020-09-29 07:50:18 +00:00
* [In-depth introduction to machine learning in 15 hours of expert videos (by Prof. Trevor Hastie, Prof. Rob Tibshirani, Stanford) ](https://www.dataschool.io/15-hours-of-expert-machine-learning-videos/ ) - free
2020-10-01 02:11:48 +00:00
* [Data Scientist in Python (Dataquest) ](https://www.dataquest.io/path/data-scientist/ ) - free and $
2020-10-29 15:38:16 +00:00
* [AI Expert Roadmap - Roadmap to becoming an Artificial Intelligence Expert ](https://github.com/AMAI-GmbH/AI-Expert-Roadmap ) - free
2020-11-05 20:26:27 +00:00
* [Semi-Supervised Deep Learning with GANs for Melanoma Detection ](https://www.manning.com/liveproject/semi-supervised-deep-learning-with-gans-for-melanoma-detection ) - $
2020-11-11 13:24:39 +00:00
* [Interpretable AI ](https://www.manning.com/books/interpretable-ai ) - $
2020-12-01 00:35:39 +00:00
* [Deploying a Deep Learning Model on Web and Mobile Applications Using TensorFlow ](https://www.manning.com/liveproject/deploying-a-deep-learning-model-on-web-and-mobile-applications-using-tensorflow ) - $ Hands-on project
2022-02-25 05:01:20 +00:00
* [Complete Data Science and ML Course ](https://www.scaler.com/data-science-course/ ) - $
2022-12-06 17:17:04 +00:00
* [ML Observability Fundamentals ](https://arize.com/ml-observability-fundamentals/ ) - free
2023-02-22 16:45:57 +00:00
* [Introduction to Data-Centric AI (MIT) ](https://dcai.csail.mit.edu/ ) - free
2023-01-25 09:01:18 +00:00
* [Data science course with placement ](https://brainalyst.in/data-science-course-placement-guarantee )
* [DATA VISUALIZATION COURSE ](https://brainalyst.in/data-visualization-courses-online/ )
* [DATA VISUALIZATION PYTHON COURSE ](https://brainalyst.in/data-visualization-python/ )
* [DATA SCIENCE WITH R PROGRAMMING ](https://brainalyst.in/data-science-with-r/ )
* [DATA SCIENCE WITH PYTHON ](https://brainalyst.in/data-science-with-python-course/ )
* [DATA SCIENCE 360 TRAINING COURSE ](https://brainalyst.in/data-science-360-training-course/ )
* [BIG DATA & CLOUD COMPUTING COURSE ](https://brainalyst.in/big-data-cloud-computing-courses/ )
* [FULL STACK DATA SCIENCE PROGRAM ](https://brainalyst.in/full-stack-data-science-course-program/ )
2023-03-12 15:24:42 +00:00
* [Mathematics for Machine Learning Specialization (Imperial College London via Coursera) ](https://www.coursera.org/specializations/mathematics-machine-learning?action=enroll ) - $ but financial aid available
2023-10-07 07:44:45 +00:00
* [Machine Learning Engineering for Production (MLOps) Specialization (DeepLearning.ai) ](https://www.coursera.org/specializations/machine-learning-engineering-for-production-mlops ) - $ but financial aid available
2024-03-22 18:27:41 +00:00
* [LLMOps: Building Real-World Applications With Large Language Models ](https://www.comet.com/site/llm-course/ ) - free
2024-05-09 17:39:24 +00:00
* [Prompt Engineering for Vision Models on DeepLearningAI ](https://www.deeplearning.ai/short-courses/prompt-engineering-for-vision-models/ ) - free
