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Learn Machine Learning Algorithms online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
Harvard University
Focusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML.
Harvard University
Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.
MITx
Machine learning methods are commonly used across engineering and sciences, from computer systems to physics. Moreover, commercial sites such as search engines, recommender systems (e.g., Netflix, Amazon), advertisers, and financial institutions employ machine learning algorithms for content recomm…
DeepLearning.AI
In the third course of the Machine Learning Specialization, you will: • Use unsupervised learning techniques for unsupervised learning: including clustering and anomaly detection. • Build recommender systems with a collaborative filtering approach and a content-based deep learning method. • Build a…
Stanford Online
Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. These representations sit at the intersection of statistics and computer s…
University of Pennsylvania
Learn how to design robot vision systems that avoid collisions, safely work with humans and understand their environment.
When do machine learning algorithms work and why? How do we formalize what it means for an algorithm to learn from data? How do we use mathematical thinking to design better machine learning methods? This course focuses on developing a theoretical understanding of the statistical properties of lear…
Great Learning
This online Machine Learning Algorithms course has been designed keeping in mind that a novice learner should be able to grasp the concepts and understand algorithms with examples. This course covers the introduction to Machine Learning and the basics of algorithms, along with a theoretical and pra…
Instructor: Gilbert Strang View the complete course: https://ocw.mit.edu/18-065S18 Linear algebra concepts are key for understanding and creating machine learning algorithms, especially as applied to deep learning and neural networks. This course reviews linear algebra with applications to probabil…
The Georgia Institute of Technology
Learn essential analytics models and methods and how to appropriately apply them, using tools such as R, to retrieve desired insights.
Arm Education
****This course will provide you with the hands-on experience you’ll need to create innovative machine learning applications using ubiquitous Arm-based microcontrollers.
The Hong Kong University of Science and Technology
Learn mathematical methods for data analysis including mathematical formulations and computational methods. Some well-known machine learning algorithms such as k-means are introduced in the examples.
MIT OpenCourseWare
The main goal of this course is to study the generalization ability of a number of popular machine learning algorithms such as boosting, support vector machines and neural networks. Topics include Vapnik-Chervonenkis theory, concentration inequalities in product spaces, and other elements of empiri…
University of Washington
Case Studies: Analyzing Sentiment & Loan Default Prediction In our case study on analyzing sentiment, you will create models that predict a class (positive/negative sentiment) from input features (text of the reviews, user profile information,...). In our second case study for this course, loan def…
Great Learning
We know that python is known to be a high-level programming language. It is also an open-source programming language that is interpreted, and object-oriented. And when we speak about Machine Learning, this is used for identifying the patterns in data. Machine learning algorithms are answerable for…
Indian Institute of Management Bangalore
Learn the fundamental concepts in probability, statistics, optimization and linear algebra which form the foundations for data science.
IBM
Python is a core skill in machine learning, and this course equips you with the tools to apply it effectively. You’ll learn key ML concepts, build models with scikit-learn, and gain hands-on experience using Jupyter Notebooks. Start with regression techniques like linear, multiple linear, polynomia…
IBM
This is the final course in the IBM Data Science Professional Certificate as well as the Applied Data Science with Python Specialization. This capstone project course will give you the chance to practice the work that data scientists do in real life when working with datasets. In this course you wi…
École polytechnique fédérale de Lausanne
Discrete choice models are used extensively in many disciplines where it is important to predict human behavior at a disaggregate level. This course is a follow up of the online course “Introduction to Discrete Choice Models”. We have selected some important advanced topics, that are presented in d…
Great Learning
In this course, you will learn the fundamental concepts of Machine Learning and how to implement them in various projects. Our course includes a hands-on approach where you will be implementing different Machine Learning algorithms and models to solve real-world problems. The first project in the c…
