Machine Learning courses

1003 Courses

Introducción a la inteligencia artificial (Español LATAM) | Introduction to Artificial Intelligence (Spanish from Latin America)

Este curso introductorio explora el fascinante mundo de la inteligencia artificial (IA), ofreciendo un panorama sobre qué es la IA y su significativa importancia. Profundiza en aspectos esenciales como el machine learning y el aprendizaje profundo, ambos pilares fundamentales de la inteligencia artificial, y revela cómo la gigante tecnológica Amazo.
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provider AWS Skill Builder
pricing Free Certificate
sessions On-Demand

Statistical Machine Learning

Embark on a comprehensive journey through the world of Statistical Machine Learning with this advanced second graduate level course. Tailored for students who have previously completed courses in Machine Learning (10-715) and Intermediate Statistics (36-705), this program emphasizes statistical theory and methodologies within the machine learning l.
provider Independent
pricing Free Online Course
sessions On-Demand

Probabilistic Graphical Models 3: Learning

Delve into the complex world of probabilistic graphical models (PGMs) with Probabilistic Graphical Models 3: Learning, a comprehensive course offered through Coursera by Stanford University. PGMs provide a sophisticated framework for representing probability distributions across intricate domains, enabling the modeling of joint distributions over n.
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provider Coursera
pricing Free Online Course (Audit)
duration 66 hours
sessions On-Demand

Building Autonomous AI

Unlock the secrets to creating an autonomous AI with our comprehensive course, presented by the University of Washington and available on Coursera. Dive deep into the world of AI development, where practice and precision meet innovation. Learn to master building, testing, and deploying an AI brain with Microsoft Bonsai, a pioneering cloud-based, lo.
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provider Coursera
pricing Free Online Course (Audit)
duration 5 weeks
sessions On-Demand

Custom Prediction Routine on Google AI Platform

Unlock the power of AI with our comprehensive course on deploying custom prediction routines on Google AI Platform. Ideal for individuals with a Google Cloud Platform (GCP) account, this project-based course spans over 2 hours, guiding you through the nuances of leveraging AI Platform's capabilities beyond conventional TensorFlow models. Before div.
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provider Coursera
pricing Paid Course
duration 1-2 hours
sessions On-Demand

AI for Everyone: Master the Basics

Embark on a journey to demystify Artificial Intelligence (AI) with "AI for Everyone: Master the Basics," offered through edX. This course is a gateway to understanding the myriad ways AI is reshaping our world, designed for individuals across all skill levels. By completing this IBM course, learners have the opportunity to earn a skill badge, a dig.
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provider edX
pricing Free Online Course (Audit)
duration 4 weeks, 1-2 hours a week
sessions On-Demand

Deep Learning Applications for Computer Vision

Unlock the potential of your career with the "Deep Learning Applications for Computer vision" course offered by the University of Colorado Boulder on Coursera. Dive into the fascinating world of Computer Vision, and grasp both classic and cutting-edge Deep Learning methodologies. You'll explore a wide array of Computer Vision tasks such as image cl.
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provider Coursera
pricing Free Online Course (Audit)
duration 23 hours
sessions On-Demand

Machine Learning for All

Discover "Machine Learning for All," an enlightening course that demystifies the world of Artificial Intelligence (AI), one of today's most buzzworthy technological realms. With advancements in facial recognition, autonomous vehicles, and conversational AI becoming everyday news, the influence of Machine Learning technology is poised to transform p.
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provider Coursera
pricing Free Online Course (Audit)
duration 22 hours
sessions On-Demand

Math for AI beginner part 1 Linear Algebra

Embark on your journey into the realm of artificial intelligence (AI) with "Math for AI Beginner Part 1: Linear Algebra," offered by the University of California, Santa Cruz on Coursera. This course is meticulously designed for beginners to grasp essential concepts such as machine learning, deep learning, and support vector machines, all of which p.
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provider Coursera
pricing Free Online Course (Audit)
duration 7-8 hours
sessions On-Demand

Matrix Factorization and Advanced Techniques

Explore the world of recommender systems with the University of Illinois at Urbana-Champaign's course on Matrix Factorization and Advanced Techniques, available on Coursera. Dive deep into matrix factorization, a cornerstone technique for dimensionality reduction in user-product preference spaces, offering the foundation for creating efficient reco.
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provider Coursera
pricing Free Online Course (Audit)
duration 16 hours
sessions On-Demand

More and more products are now being developed using artificial intelligence. To avoid being left on the sidelines of progress, managers must understand how the robot’s “brains” work

Artificial intelligence (AI) and machine learning technologies have been used for many years, but now the intensity of their use has increased significantly. For example, machine learning is being actively implemented in telecommunications, retail, marketing and e-commerce. But many still do not fully understand what it is.

Machine learning involves the system processing a large number of examples, during which it identifies patterns and uses them to predict the characteristics of new data. In other words, this is the process of giving AI ml courses “consciousness”, the ability to remember and analyze.

Machine learning use cases

The use of machine learning has touched many areas in our lives. Let's look at the most striking examples of the use of computer intelligence:

Facial recognition in the subway will help identify violators or criminals in a huge mass of people. Ordinary observers cannot cope with this task. But a fast-learning machine will do this job without any problems.

What do you need for machine learning (ML)?

For those interested in training, there are several requirements to be met in order to be successful in this field. So, there are the main points you need to know about the machine learning course. These requirements include:

  1. Basic knowledge of programming languages such as Python, R, Java, JavaScript, etc.

  2. Average knowledge of statistics and probability.

  3. Basic knowledge of linear algebra in the ml course. In a linear regression model, a line is drawn through all the data points, and that line is used to calculate new values.

  4. Understanding Calculus.

  5. Knowledge of how to clean and structure raw data into the desired format to reduce the time required for decision making.

Machine learning courses from AI Eeducation are the best choice!