Machine learning is a method of data analysis that automates analytical model building. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make predictions with minimal human intervention. Below we have listed 10 excellent courses in Artificial Intelligence and Machine Learning you can take entirely online:
Artificial Intelligence (AI) is an online course that touches different areas of artificial intelligence and introduces students to the fundamental systems for developing intelligent computer systems. This course also sheds more light on the applications of AI to combat a wide range of challenges. Within 12 weeks, you will go through 11 modules that include an introduction to AI, heuristic search, AI applications, machine learning, constraint satisfaction problems, and adversarial search. The 12th week of this course will be dedicated to reviewing and concluding the topic. Led by Professor Ansaf Salleb-Aouissi, this course is a free course, but interested students have to pay $325 to get a certificate.
This course is a free online course that is the result of the collaboration between NPTEL and the Indian Institute of Technology Madras. Held through Swavam, this 12-week long program considers arrays of representation formalisms as well as the algorithms for reasoning that are related to them. Artificial Intelligence: Knowledge Representation and Reasoning is designed for students that have good knowledge of logic, formal languages, and programming. The course layout includes an introduction to syntax, semantics, and propositional logic, conceptual dependency (TD) theory, first-order logic (FOL), and deductive retrieval, backward chaining and logic programming. This program is anchored by Deepak Khemani.
As the name indicates, this course presents an overview of the concepts involved in artificial intelligence within 4 weeks. Funded by IBM via Coursera, Introduction to Artificial Intelligence (AI) also enables the student to learn more about the various cases and applications of artificial intelligence. Furthermore, it explains AI terms such as neural networks, deep learning, and machine learning while providing more insights about jobs, ethics, bias and other challenges that AI has been dealing with. The syllabus of this course also considers what the future holds for AI. Though students have to pay if they want to get a certificate, this course is free. Notably, it is taught by Rav Ahuja.
Artificial Intelligence: Reinforcement Learning in Python is an Udemy course that describes various ideas that are associated with AI. Foremost, this course teaches students the application of gradient-based supervised machine learning techniques as regards reinforcement learning. It also helps students to know how psychology is related to reinforcement learning. Similarly, this program will aid the technical knowledge of reinforcement learning. This course has 99 different lectures that come in the form of short videos that show everything you need to have an understanding of reinforcement learning in Python. Join other thousands of students to go through this course that currently costs $11.39.
Provided by Stanford University through Coursera, Machine Learning is a short course that requires just 1 week to be completed. Through this program, students will get to know about the best machine learning methods and understand how they can be implemented in different areas. The program has a relatively comprehensive syllabus that covers linear regression with one variable, linear regression with several variables, linear algebra review, regularization, Matlab tutorial, neural networks, logistic regression, support vector machines, machine learning system design, large scale machine learning, and anomaly detection. Upon completion of this free online program, interested students can pay to obtain a certificate.
If you need hands-on experience of what machine learning is, this course should be one of your priorities. It delivers a practical approach to the application machine learning. Using a particular case study, it teaches you how to predict the prices of houses through the aid of their features, evaluate the reviews of users, and perform several other operations. Upon completion of this course, students should be able to have a good understanding of how to apply machine learning in practical situations, explain the core difference between classification, clustering, and regression based on analyses, and evaluate new data by utilizing a dataset. This course is accessible on Coursera and provided by the University of Washington.
Machine Learning: Regression is the University of Washington’s course that is hosted online via Coursera. This free online program shows students how to use regularized linear regression models to predict task and select features. It will assist students to understand how they can evaluate the effect of outliers and other factors on the predictions as well as models. This course has an outline that includes simple linear regression, multiple regression, ridge regression, nearest neighbors and kernel regression, feature selection and Lasso, and implementation of various models in Python. After completing this English course, students can get a paid certificate from Coursera.
Machine Learning with Big Data is a course from the University of California, San Diego that is available on the internet via Coursera. This 5-week long program is centered on introducing the learners to the most important machine learning techniques. With this knowledge, students can start evaluating and leveraging data in various areas. Students will also learn about the tools and algorithms that they can utilize to build the right models for machine learning that can be scaled up the models to become big data issues. Paul Rodriguez, Andrea Zonca and, Natasha Balac are the tutors that will be handling different aspects of machine learning in association with big data.
Provided by Columbia University through its collaboration with edX, Machine Learning for Data Science and Analytics primarily focuses on giving an overview of algorithms and machine learning. By the end of this program, students would have gained a fundamental understanding of the principles involved in machine learning. Also, they should be able to utilize predictive analytics to proffer solutions to data problems. Anchored by Ansaf Salleb-Aouissi, Peter Orbanz, Itsik Peer, David Blei, and Mihalis Yannakakis, this course is a free online course. However, students will have to pay $99 if they want to get a certificate.
Offered by the University of California, Berkeley through edX, CS188.1x: Artificial Intelligence is a self-paced course that provides learners with an overview of the concepts and techniques involved in intelligent computer systems. It allows the students to realize some of the areas where AI has been influencing their lives and what the future holds for this technological advancement. This free online course is centered on various aspects of artificial intelligence including statistical and decision-theoretic modeling paradigm as well as the various applications for different issues associated with artificial intelligence. It is taught by Dan Klein and Pieter Abbeel.