How To Learn Artificial Intelligence

Top 10 Best FREE Artificial Intelligence Courses Laconicml

Course

1. CS50’s Introduction to Artificial Intelligence with Python (Harvard) This course comes from Harvard and explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation.
2. Data Science: Machine Learning (Harvard) This course is from Harvard and it will help you will learn popular machine learning algorithms, principal component analysis, and regularization by building a movie recommendation system.
3. Artificial Intelligence (MIT) This course comes from MIT and introduces students to the basic knowledge representation, problem-solving, and learning methods of artificial intelligence.
4. Introduction to Computational Thinking and Data Science (MIT) This is an MIT course and is great for students with little or no programming experience.
5. Machine Learning (MIT) This is an MIT course and it contains an introduction to machine learning which gives an overview of many concepts, techniques, and algorithms in machine learning, beginning with topics such as classification and linear regression and ending up with more recent topics such as boosting, support vector machines, hidden Markov models, and Bayesian networks.
6. Matrix Methods in Data Analysis, Signal Processing, and Machine Learning (MIT) This MIT course focuses on Linear algebra’s concepts which are key for understanding and creating machine learning algorithms, especially as applied to deep learning and neural networks.
7. Machine Vision (MIT) This is the MIT course for Machine Vision (Computer Vision) and provides an intensive introduction to the process of generating a symbolic description of an environment from an image.
8. Advanced Natural Language Processing (MIT) This MIT course is an introduction to natural language processing (NLP). It covers syntactic, semantic, and discourse processing models, emphasizing machine learning or corpus-based methods and algorithms.
9. Statistical Learning (Stanford) This Stanford class is an introductory-level course in supervised learning, with a focus on regression and classification methods.
10. Mining Massive Data Sets (Stanford) This is a Stanford course that introduces the students to modern distributed file systems and MapReduce, including what distinguishes good MapReduce algorithms from good algorithms in general.

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