Below you will 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. In the list below you will find all Machine Learning courses that we have in our database from Coursera. Coursera is an incredble platform for online classes with a high standard in regards to quality. They work with top universities across the globe, like Standford, Hardvard, UC Berkley, and many more, to make education more accessible via the internet.
This is a fantastic course that functions as an introduction to machine learning. Machine learning is at the core of the new trends we see these days in self-driving cars, image recognition, web search, and more. Besides the theoretical background of machine learning, the student will learn how to implement these techniques in practice.
Every technical worker that want to master AI and guide a team through a project will love this 2-week course. You will be able to practice through real examples and learn to diagnose errors in a machine learning system, prioritize errors, understand how ML works and how to transfer your knowledge. Basic machine learning knowledge is needed since this is the 3rd part of the Deep Learning Specialization. More information
This course will provide students an in-depth learning about data systems. This course will tackle potential applications of machine learning, core differences in analysis, data representation, dataset utilization and more. More information
This specific course is open to all levels ranging from beginners, intermediate and advanced. Learning outcomes include input and output of a regression model, LASSO, Python, model performances and more. At the end of the course, you will be able to implement algorithms that scale to large data sets. More information
Enroll in this course if you want to learn more about data science. This one-week class or crash course provides a better understanding of how data science play a successful role in organizations. After this course, the student will be well-versed with statistics, machine learning and software engineering.
Get to grips with artificial neural networks and their current use for machine learning. You
In this special course on analyzing sentiment and predicting loan default, you More information
In this accelerated, one-week course, you More information
Get to know applied machine learning, focusing on methods and techniques, and not only stats. You
As a data analyst or scientist, you must perform common tasks such as machine learning and prediction. This course covers the primary components of constructing and implementing prediction functions, especially in practical applications. You
Case Studies: Finding Similar Documents A reader is interested in a specific news article and you want to find similar articles to recommend. What is the right notion of similarity? Moreover, what if there are millions of other documents? Each time you want to a retrieve a new document, do you n More information
In this course on Linear Algebra we look at what linear algebra is and how it relates to vectors and matrices. Then we look through what vectors and matrices are and how to work with them, including the knotty problem of eigenvalues and eigenvectors, and how to use these to solve problems. Finally More information
What is machine learning, and what kinds of problems can it solve? Google thinks about machine learning slightly differently -- of being about logic, rather than just data. We talk about why such a framing is useful when thinking about building a pipeline of machine learning models. Then, we discuss More information
Want to make sense of the volumes of data you have collected? Need to incorporate data-driven decisions into your process? This course provides an overview of machine learning techniques to explore, analyze, and leverage data. You will be introduced to tools and algorithms you can use to create m More information
This 1-week, accelerated on-demand course builds upon Google Cloud Platform Big Data and Machine Learning Fundamentals. Through a combination of instructor-led presentations, demonstrations, and hands-on labs, students learn how to carry out no-ops data warehousing, analysis and pipeline processing. More information
This one-week accelerated on-demand course provides participants a a hands-on introduction to designing and building machine learning models on Google Cloud Platform. Through a combination of presentations, demos, and hand-on labs, participants will learn machine learning (ML) and TensorFlow concept More information
Machine learning is the study that allows computers to adaptively improve their performance with experience accumulated from the data observed. Our two sister courses teach the most fundamental algorithmic, theoretical and practical tools that any user of machine learning needs to know. This first c
This 1-week, accelerated on-demand course builds upon Google Cloud Platform Big Data and Machine Learning Fundamentals. Through a combination of video lectures, demonstrations, and hands-on labs, you'll learn how to build streaming data pipelines using Google Cloud Pub/Sub and Dataflow to enable rea More information
This course offers a brief introduction to the multivariate calculus required to build many common machine learning techniques. We start at the very beginning with a refresher on the More information
This course will help you identify why deep learning is currently popular. You will earn to optimize and evaluate models using loss functions and performance metrics, mitigate common problems that arise in machine learning and create repeatable and scalable training, evaluation and test datasets. More information
The manufacturing industry is going through a digital transformation. This allows companies to customize production through advances I machine learning. Learn how to do this and have a great chance to find employment. You will learn and explore Autodesk Fusion 360 CAD/CAM. You will become and expert in this field after finishing this course. More information
Coursera offers a great course that will teach you all about TensorFlow and you will work your way through the necessary concepts and APIs. This will enable you to write distributed machine learning models. After this course, you will know how to create machine learning models in TensorFlow.
This is the second part of the machine learning course. It focuses more on algorithmic tools, while the previous course focused more on mathematical tools. So if you want to learn more about machine learning that this is a great course for you.
One of the most popular methods for machine learning is a Bayesian Method. In this course, you will learn how to use it and apply it for your needs. In six weeks we will discuss the basics of Bayesian methods: from how to define a probabilistic model to how to make predictions from it. More information