Machine Learning courses

1003 Courses

Prácticas de IA responsable (Español LATAM) | Responsible Artificial Intelligence Practices (LATAM Spanish)

En este curso, aprenderá sobre las prácticas de la IA responsable. En primer lugar, tendrá acceso a una introducción en la que se explicará qué es la IA responsable. Aprenderá a definir la IA responsable, comprenderá los desafíos que la IA responsable intenta superar y explorará las dimensiones fundamentales de la IA responsable. Luego, profun.
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Recommender Systems with Machine Learning

Recommender Systems with Machine Learning This course starts with the theoretical concepts and fundamental knowledge of recommender systems, covering essential taxonomies. You'll learn to use Python to evaluate datasets based on user ratings, choices, genres, and release years. Practical approaches will help you bui.
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Post Graduate Certificate in Natural Language Processing

Embark on a transformative journey with the Post Graduate Certificate in Natural Language Processing offered by the Université de Montréal, available on Coursera MasterTrack. This comprehensive program is designed for college graduates and working professionals eager to delve into or specialize in the dynamic field of natural language processing (N.
provider Coursera  MasterTrack
pricing Paid Course
duration 24 weeks, 7 hours a week

Stanford Seminar - Dialog Markets

Explore the burgeoning impact of machine learning (ML) across various data-rich and goal-oriented domains at the Stanford Seminar on Dialog Markets. This insightful session delves into whether ML can contribute to areas necessitating deep thought—be it personal goal reflection or societal challenges like improving aid for the underprivileged. The s.
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provider YouTube
pricing Free Online Course
duration 59 minutes
sessions On-Demand

Forecasting and Aligning AI - Jacob Steinhardt

Explore the cutting-edge realm of AI forecasting and alignment in Jacob Steinhardt's insightful presentation. Discover how modern Machine Learning (ML) systems exhibit transformative shifts in behavior through the simple act of scaling—amplifying the number of parameters and training examples. Steinhardt delves into the intriguing possibility of pr.
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provider YouTube
pricing Free Online Course
duration 55 minutes
sessions On-Demand

Build, Train, and Deploy ML Pipelines using BERT

Master ML Pipelines with BERT on Coursera: Delve into the world of machine learning with the Practical Data Science Specialization's second course offered by Coursera. This hands-on course empowers you to automate natural language processing tasks seamlessly using the advanced BERT algorithm, courtesy of Hugging Face's optimized implementation, and.
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provider Coursera
pricing Free Online Course (Audit)
duration 10 hours
sessions On-Demand

Microsoft Azure AI Fundamentals: Explore visual tools for machine learning

Title: Microsoft Azure AI Fundamentals: Explore Visual Tools for Machine Learning Description: Join us for an insightful exploration into the world of Azure AI with our Microsoft Azure AI Fundamentals event. This engaging session is designed to introduce you to the potent visual tools Azure Machine Learning offers, empowering you with the knowledge.
provider Microsoft Learn
pricing Free Online Course
duration 5 hours 18 minutes
sessions On-Demand

AI For Business Leaders

Discover the transformative potential of AI in the corporate landscape with the "AI For Business Leaders" program. Offered by Udacity as part of their prestigious Nanodegree, this course empowers business executives to critically analyze and integrate machine learning and artificial intelligence into their strategic planning. Delve into the foundat.
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provider Udacity  Nanodegree
pricing Paid Course
duration 4-8 weeks, 5 hours a week

Computational Social Science

Discover the pioneering field of Computational Social Science through the University of California, Davis's groundbreaking online specialization on Coursera. This multidisciplinary program delves into the revolutionary impact of digital technology on society and its study. Learn how Silicon Valley's elite, top governmental agencies, and influential.
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provider Coursera  Specialization
pricing Paid Course
duration 26 weeks, 3 hours a week

Computational Social Science Methods

Explore the cutting-edge intersection of technology and social sciences with the "Computational Social Science Methods" course, offered by the University of California, Davis, on Coursera. This comprehensive course delves into the vast opportunities and significant impact of computational social science (CSS) in our daily lives. From the algorithms.
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provider Coursera
pricing Free Online Course (Audit)
duration 11 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!