Below you can find the best machine learning courses that are currently available on the internet. They are updated regularly with the aim to keep all their characteristics like price, level of difficulty, and certificate quality up to date so you can make an informed decision about which is the best machine learning course for you. Feel free to use the filters below to sift through the entire database on Courseroot.
This course provides an introduction to computer vision including fundamentals, methods for application and machine learning classification. This course provides an introduction to computer vision including fundamentals of image formation, camera imaging geometry, feature detection and matching, multiview geometry including stereo, motion estimation and tracking, and ... More information
Study machine learning at a deeper level and become a participant in the reinforcement learning research community. You should take this course if you have an interest in machine learning and the desire to engage with it from a theoretical perspective. Through a combination of classic papers and more recent work, you will explore automated decision-making from a compu... More information
In this course, you'll learn how to apply Supervised, Unsupervised and Reinforcement Learning techniques for solving a range of data science problems. This class is offered as CS7641 at Georgia Tech where it is a part of the Online Masters Degree (OMS). Taking this course here will not earn credit towards the OMS degree.Machine Learning is a graduate-level course cove... More information
Show off what you've learned in your Nanodegree program with a project that defines Machine learning is one of the fastest-growing and most exciting fields out there, and deep learning represents its true bleeding edge. In this course, you... More information
This course will teach you how to start from scratch in understanding and paying attention to what is important in the data and how to answer questions about data. This course will teach you how to start from scratch in answering questions about the real world using data. Machine learning happens to be a small part of this process. The model building process involves ... More information
Ever wonder how Netflix can predict what movies you'll like? Or how Amazon knows what you want to buy before you do? The answer can be found in Unsupervised Learning! This is the second course in the 3-course Machine Learning Series and is offered at Georgia Tech as CS7641. Taking this class here does not earn Georgia Tech credit.Ever wonder how Netflix can predict wh...
This class will teach you the end-to-end process of investigating data through a machine learning lens, and you'll apply what you've learned to a real-world data set. Machine Learning is a first-class ticket to the most exciting careers in data analysis today. As data sources proliferate along with the computing power to process them, going straight to the data is one... More information
Learn how to use Apple's Core ML framework to build iOS apps with intelligent new features. In this short course, we'll show you how to incorporate Apple's Core ML framework into your app. You'll also get a quick overview of machine learning fundamentals, and exposure to real-world examples of companies using machine learning technology in their iOS apps.... More information
In this course, we introduce the characteristics of medical data and associated data mining challenges on dealing with such data. We cover various algorithms and systems. Data science plays an important role in many industries. In facing massive amount of heterogeneous data, scalable machine learning and data mining algorithms and systems become extremely important fo... More information
This course will introduce you to the basics of AI. Topics include machine learning, probabilistic reasoning, robotics, computer vision, and natural language processing. Artificial Intelligence (AI) is a field that has a long history but is still constantly and actively growing and changing. In this course, you... More information
Implement machine learning based strategies to make trading decisions using real-world data. This course introduces students to the real world challenges of implementing machine learning based trading strategies including the algorithmic steps from information gathering to market orders. The focus is on how to apply probabilistic machine learning approaches to trading... More information
This course gives a survey of topics in AI along with in-depth foundational concepts such as classical search, probability, machine learning, logic and planning. Learn about the fundamentals of Artificial Intelligence in this introductory graduate-level course. It provides a survey of various topics in the field along with in-depth discussion of foundational concepts ... More information
What does a data scientist do? In this course, we will survey the main topics in data science so you can understand the skills that are needed to become a data scientist! The Introduction to Data Science class will survey the foundational topics in data science, namely: Data Manipulation Data Analysis with Statistics and Machine Learning Data Communication with Inform... More information
Learn how to calculate eigenvalues and eigenvectors and why they are important for AI applications. One of the most interesting topics to visualize in Linear Algebra are Eigenvectors and Eigenvalues. Here you will learn how to easily calculate them and how they are applicable and particularly interesting when it comes to machine learning implementations.... More information