Free online
Learn Machine Learning online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.
Machine Learning topics
More in Artificial Intelligence
XCS231N Deep Learning for Computer Vision, the professional education version of the graduate course CS231N Deep Learning for Computer Vision, begins August 3rd and runs through October 11th. Enrollment is open now. Learn course details: https://stanford.io/XCS231N-YouTube Computer Vision has becom…
Instructors: Phillip Isola, Sara Beery, Dr. Jeremy Bernstein View the complete course: https://ocw.mit.edu/courses/6-7960-deep-learning-fall-2024/ YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63URZnh5iqBzDTDYPUTQT-8 This course covers the fundamentals of deep learning, includi…
IIT Bombay
Computer Science and Engineering course by Prof. Mayank Baranwal.
Deep Learning is one of the most highly sought after skills in AI. In this course, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dro…
Microsoft
Choose this module if you want to compare models by using automated machine learning, MLflow, and the Responsible AI dashboard.
Complex data can be represented as a graph of relationships between objects. Such networks are a fundamental tool for modeling social, technological, and biological systems. This course focuses on the computational, algorithmic, and modeling challenges specific to the analysis of massive graphs. By…
Great Learning
The free machine learning Python course helps you build the core Python skills needed to work with data for machine learning tasks. You will learn how to use NumPy for array creation, joining arrays, finding intersections and differences, performing array-based math, and saving or loading array dat…
This course covers important research on the structure and analysis of such large social and information networks and on models and algorithms that abstract their basic properties. Students will explore how to practically analyze large-scale network data and how to reason about it through models fo…
Stanford Online
Machine learning and artificial intelligence hold the potential to transform healthcare and open up a world of incredible promise. But we will never realize the potential of these technologies unless all stakeholders have basic competencies in both healthcare and machine learning concepts and princ…
IIT Madras
Computer Science and Engineering course by Prof. Balaraman Ravindran.
Instructor: Rama Ramakrishnan View the complete course: https://ocw.mit.edu/courses/15-773-hands-on-deep-learning-spring-2024 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP60YyhMjYmXuVmX562QcClSp This is a fast-paced introduction to Deep Learning with an emphasis on developing…
Imperial College London
Welcome to this course on Getting started with TensorFlow 2! In this course you will learn a complete end-to-end workflow for developing deep learning models with Tensorflow, from building, training, evaluating and predicting with models using the Sequential API, validating your models and includin…
Microsoft
Learn how to prepare audio data, create spectrograms, and build a TensorFlow keyword classification model.
Microsoft
Learn how to train machine learning models in notebooks and track your work with MLflow experiments in Microsoft Fabric.
MIT OpenCourseWare
Prediction is at the heart of almost every scientific discipline, and the study of generalization (that is, prediction) from data is the central topic of machine learning and statistics, and more generally, data mining. Machine learning and statistical methods are used throughout the scientific wor…
MIT OpenCourseWare
This course is a graduate introduction to natural language processing - the study of human language from a computational perspective. It covers syntactic, semantic and discourse processing models, emphasizing machine learning or corpus-based methods and algorithms. It also covers applications of th…
IIT Madras
Computer Science and Engineering course by Prof. Arun Rajkumar.
DeepLearning.AI
In the second course of the Deep Learning Specialization, you will open the deep learning black box to understand the processes that drive performance and generate good results systematically. By the end, you will learn the best practices to train and develop test sets and analyze bias/variance for…
