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The best Machine Learning courses and tutorials on the internet

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26-40h
Stanford University
Coursera
All levels
26-40h
Unknown
Good
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..


4.9
·
100251 reviews
26-40h
deeplearning.ai
Coursera
Beginner
26-40h
Starts Apr 27
Good
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..


4.8
·
26290 reviews
26-40h
University of Washington
Coursera
All levels
26-40h
Starts Apr 27
Good
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.


4.6
·
8381 reviews
26-40h
Google Cloud
Coursera
Intermediate
26-40h
Starts Apr 27
Good
In this accelerated, one-week course, you?ll learn about the Big Data and Machine Learning capacities of the Google Cloud Platform (GCP). You?ll get an overview of the platform as well as experiencing a dive into its data processing power. By the end..


4.6
·
5346 reviews
26-40h
Johns Hopkins University
Coursera
All levels
26-40h
Starts Apr 27
Good
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 w..


4.5
·
4679 reviews
26-40h
University of Washington
Coursera
All levels
26-40h
Starts Apr 27
Good
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 ..


4.8
·
4123 reviews
26-40h
University of Michigan
Coursera
Intermediate
26-40h
Starts Apr 27
Good
Get to know applied machine learning, focusing on methods and techniques, and not only stats. You?ll quickly learn the difference between machine learning and descriptive statistics. Soon after, you?ll be introduced to the ?scikit learn toolkit?. Wit..


4.7
·
3243 reviews
26-40h
Google Cloud
Coursera
Intermediate
26-40h
Starts Apr 27
Good
***NEW! Specialization Completion Challenge, receive Qwiklabs credits valued up to $150! See below for details.*** What is machine learning, and what kinds of problems can it solve? Google thinks about machine learning slightly differently -- of be..


4.5
·
2939 reviews
26-40h
University of Washington
Coursera
All levels
26-40h
Starts Apr 27
Good
In this special course on analyzing sentiment and predicting loan default, you?ll create models from input features to better predict postive and negative sentiment. You?ll tackle financial data in order to determine when a loan is risky or safe for ..


4.7
·
2694 reviews
26-40h
Imperial College London
Coursera
Beginner
26-40h
Starts Apr 27
Good
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,..


4.6
·
2619 reviews
26-40h
Johns Hopkins University
Coursera
All levels
26-40h
Starts Apr 27
Good
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?ll get g..


4.5
·
2423 reviews
26-40h

AI For Everyone

$43/mo.
deeplearning.ai
Coursera
Beginner
26-40h
Starts Apr 27
Good
AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone--especially your non-technical colleagues--to take. In this course, you will learn: - The meaning behind common AI termin..


4.8
·
2153 reviews
26-40h
Google Cloud
Coursera
Intermediate
26-40h
Starts Apr 27
Good
***NEW! Specialization Completion Challenge, receive Qwiklabs credits valued up to $150! See below for details.*** This 1-week, accelerated on-demand course builds upon Google Cloud Platform Big Data and Machine Learning Fundamentals. Through a com..


4.5
·
2069 reviews
26-40h
Google Cloud
Coursera
Intermediate
26-40h
Starts Apr 27
Good
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 s..


4.5
·
1700 reviews
26-40h
University of Washington
Coursera
All levels
26-40h
Starts Apr 27
Good
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 ti..


4.6
·
1639 reviews
26-40h
Google Cloud
Coursera
Intermediate
26-40h
Starts Apr 27
Good
***NEW! Specialization Completion Challenge, receive Qwiklabs credits valued up to $150! See below for details.*** This one-week accelerated on-demand course provides participants a a hands-on introduction to designing and building machine learning..


4.4
·
1650 reviews
26-40h
IBM
Coursera
Intermediate
26-40h
Starts Apr 27
Good
This course dives into the basics of machine learning using an approachable, and well-known programming language, Python. In this course, we will be reviewing two main components: First, you will be learning about the purpose of Machine Learning and..


4.7
·
1429 reviews
26-40h
Imperial College London
Coursera
Beginner
26-40h
Unknown
Good
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 ?rise over run? formulation of a slope, before converting this to t..


4.7
·
1352 reviews
26-40h
Google Cloud
Coursera
Intermediate
26-40h
Starts Apr 27
Good
***NEW! Specialization Completion Challenge, receive Qwiklabs credits valued up to $150! See below for details.*** This 1-week, accelerated on-demand course builds upon Google Cloud Platform Big Data and Machine Learning Fundamentals. Through a com..


4.7
·
1247 reviews
26-40h
University of California San Diego
Coursera
All levels
26-40h
Starts Apr 27
Good
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 introduc..


4.6
·
1175 reviews
26-40h
Google Cloud
Coursera
Intermediate
26-40h
Starts Apr 27
Good
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 cre..


4.4
·
1194 reviews
26-40h
deeplearning.ai
Coursera
Intermediate
26-40h
Starts Apr 27
Good
If you are a software developer who wants to build scalable AI-powered algorithms, you need to understand how to use the tools to build them. This Specialization will teach you best practices for using TensorFlow, a popular open-source framework for ..


4.6
·
789 reviews
26-40h
Google Cloud
Coursera
Intermediate
26-40h
Starts Apr 27
Good
***NEW! Specialization Completion Challenge, receive Qwiklabs credits valued up to $150! See below for details.*** Want to know how you can improve the accuracy of your machine learning models? What about how to find which data columns make the mos..


4.4
·
749 reviews
26-40h
National Taiwan University
Coursera
Beginner
26-40h
Starts Apr 27
Good
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 us..


4.9
·
594 reviews

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