here is a list of 10 open-source or free courses to learn AI and data science online:
- Machine Learning Crash Course by Google (Udacity): This course is a great introduction to machine learning, covering the basics of supervised and unsupervised learning, as well as popular algorithms like linear regression and decision trees. The course is taught by Google engineers and includes hands-on projects.
- Introduction to Artificial Intelligence (Coursera by Andrew Ng): This course is taught by Andrew Ng, one of the leading figures in artificial intelligence. The course covers a wide range of topics, including machine learning, deep learning, and natural language processing. It is a challenging course, but it is well worth it for anyone who wants to learn about the latest advancements in AI.
- Data Science Specialization (Coursera by Johns Hopkins University): This specialization is a comprehensive introduction to data science, covering topics such as data wrangling, data analysis, and data visualization. The specialization includes four courses, each of which can be taken individually.
- Python for Everybody Specialization (Coursera by University of Michigan): This specialization is a great introduction to Python programming, which is a essential skill for data science. The specialization includes four courses, each of which can be taken individually.
- The Self-Driving Car Engineer Nanodegree (Udacity): This nanodegree program teaches you how to build a self-driving car. The program includes six courses, covering topics such as computer vision, sensor fusion, and control systems.
- Introduction to TensorFlow for Deep Learning (Udacity): This course is a great introduction to TensorFlow, a popular open-source library for deep learning. The course covers the basics of TensorFlow, as well as how to use it to build deep learning models.
- Natural Language Processing with Deep Learning (fast.ai): This course is a great introduction to natural language processing (NLP), which is a subfield of AI that deals with the interaction between computers and human language. The course covers the basics of NLP, as well as how to use deep learning to build NLP models.
- Machine Learning A-Z™: Learn Data Science & Machine Learning by Building Projects (Udemy): This course is a comprehensive introduction to machine learning, covering a wide range of topics, including supervised and unsupervised learning, deep learning, and natural language processing. The course includes hands-on projects, which is a great way to learn and apply what you have learned.
- Data Science Foundations (DataCamp): This course is a great introduction to data science, covering topics such as data wrangling, data analysis, and data visualization. The course is interactive and includes hands-on projects.
- Kaggle Learn: Kaggle Learn is a platform that offers a variety of free courses on machine learning and data science. The courses are taught by experts in the field and cover a wide range of topics.
These are just a few of the many great open-source or free courses available online. The best course for you will depend on your individual needs and goals. I hope this helps!