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Machine Learning courses

1795 Courses

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California Institute of Technology Coursera

Build Basic Generative Adversarial Networks (GANs)

Embark on a thrilling journey through the world of Generative Adversarial Networks (GANs) with the DeepLearning.AI GANs Specialization offered by Coursera. This comprehensive course is meticulously designed to transition you from the basics of GANs to the complexities of advanced techniques without the need for a deep background in math or machine.
provider Coursera
sessions On-Demand
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California Institute of Technology Coursera

Apply Generative Adversarial Networks (GANs)

Embark on a transformative journey into the world of Generative Adversarial Networks (GANs) with the DeepLearning.AI GANs Specialization, available on Coursera. This comprehensive course is designed to guide learners of all levels through the exciting field of image generation using GANs. From foundational principles to cutting-edge techniques, the.
provider Coursera
sessions On-Demand
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California Institute of Technology Coursera

Build Better Generative Adversarial Networks (GANs)

Embark on a journey to master Generative Adversarial Networks (GANs) with the DeepLearning.AI Generative Adversarial Networks (GANs) Specialization offered through Coursera. This meticulously designed course is your gateway to understanding the revolutionary world of image generation using GANs, from the ground up to the most sophisticated techniqu.
provider Coursera
sessions On-Demand
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California Institute of Technology Coursera

Creative Artifacts

Launched in June 2021, Creative Artifacts is a cutting-edge course available on Coursera, designed to delve into the intersection of creativity and technology. Through a multidisciplinary approach, learners will discover how renowned artists are leveraging machine learning to push the boundaries of creativity. Participants will not only observe but.
provider Coursera
sessions On-Demand
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California Institute of Technology Coursera

Image Compression and Generation using Variational Autoencoders in Python

Delve into the fascinating world of AI with our latest Python course on Image Compression and Generation using Variational Autoencoders, brought to you by Coursera. In this comprehensive 1-hour project, participants will gain hands-on experience with Variational Autoencoder (VAE), a groundbreaking model that stands at the intersection of Machine Le.
provider Coursera
sessions On-Demand
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California Institute of Technology Microsoft Learn

Introduction to AI technology for business leaders

Title: Introduction to AI technology for business leaders. Description: Learn the fundamentals of artificial intelligence (AI) technology tailored for business leaders in this comprehensive course offered by Microsoft Learn. Dive into two detailed modules covering AI's primary concepts, technologies, capabilities, and its impactful role in business.
provider Microsoft Learn
sessions On-Demand
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California Institute of Technology Microsoft Learn

AI business school for healthcare

Embark on a transformative journey with the AI Business School for Healthcare, brought to you by Microsoft Learn. This comprehensive course is designed to equip professionals in the healthcare sector with the knowledge to strategically implement AI, driving real business value and fostering a culture ready for AI integration. In Module 1, delve in.
provider Microsoft Learn
sessions On-Demand
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California Institute of Technology Microsoft Learn

AI business school for manufacturing

Enroll in the AI Business School for Manufacturing and dive deep into understanding how AI can transform your manufacturing processes. This comprehensive course, brought to you by Microsoft Learn in partnership with INSEAD, spans across 12 engaging modules, each designed to outfit you with the knowledge to successfully implement AI within your ente.
provider Microsoft Learn
sessions On-Demand
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California Institute of Technology FutureLearn

AI and Machine Learning Algorithms Using Python

Embark on a journey to master the intricate world of machine learning (ML) and artificial intelligence (AI) through the powerful lens of Python with this compelling data science course offered by FutureLearn. Delve deep into the essence of ML and AI, exploring foundational concepts, theories, and the practical aspects of building, validating, and d.
provider FutureLearn
sessions On-Demand
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California Institute of Technology FutureLearn

Mathematics for Data Science: Essential Mathematics for Machine Learning and AI

Unlock the door to a career in Artificial Intelligence (AI) with "Mathematics for Data Science: Essential Mathematics for Machine Learning and AI" offered by FutureLearn. This primer course is meticulously designed for those whose mathematics skills are a bit rusty or for beginners eager to understand the mathematical backbone of AI and machine lea.
provider FutureLearn
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!