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Machine Learning courses

1334 Courses

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.
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provider Coursera
pricing Paid Course
duration 1-2 hours
sessions On-Demand
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.
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provider Coursera
pricing Free Online Course (Audit)
duration 21 hours
sessions On-Demand
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.
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provider Coursera
pricing Free Online Course (Audit)
duration 29 hours
sessions On-Demand
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.
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provider Coursera
pricing Free Online Course (Audit)
duration 27 hours
sessions On-Demand
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.
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provider Coursera
pricing Free Online Course (Audit)
duration 30 hours
sessions On-Demand
California Institute of Technology Coursera

AI Workflow: Data Analysis and Hypothesis Testing

Embark on the next step in your journey towards mastering artificial intelligence within large enterprises with the "AI Workflow: Data Analysis and HypedIdentify the importance of hypothesis testing in exploratory data analysis and how to address the challenges of multiple testing with effective strategies. This course is not designed for beginners.
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provider Coursera
pricing Free Online Course (Audit)
duration 11 hours
sessions On-Demand
California Institute of Technology Coursera

Neural Networks and Random Forests

Embark on a journey to master advanced AI techniques with our comprehensive course on Neural Networks and Random Forests, offered exclusively through Coursera. This curriculum is meticulously designed for individuals keen on expanding their knowledge beyond basic models, delving into the intricacies of artificial intelligence. Our structured learn.
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provider Coursera
pricing Free Online Course (Audit)
duration 11 hours
sessions On-Demand
California Institute of Technology edX

Computer Vision and Image Processing Fundamentals

Please Note: Completing this IBM course successfully gives you the opportunity to earn a skill badge — a sophisticated, verifiable, and digital credential outlining the knowledge and abilities you've gained. Enroll, complete the course, and claim your badge to learn more! Computer Vision stands at the forefront of the most thrilling domains in Mach.
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provider edX
pricing Free Online Course (Audit)
duration 3 weeks, 3-4 hours a week
sessions On-Demand
California Institute of Technology

AI Workflow: Machine Learning, Visual Recognition and NLP

Enroll in the fourth installment of the IBM AI Enterprise Workflow Certification, a course specifically tailored for continuing your journey in artificial intelligence with a focus on Machine Learning, Visual Recognition, and NLP (Natural Language Processing). This crucial course is designed as part of a comprehensive specialization, where each mod.
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California Institute of Technology Independent

Seeing Clearly: Computer Vision Theory

Delve into the fascinating world of computer vision with our comprehensive courses. Learn how machines interpret images and videos, mastering topics such as the automatic recognition of objects and activities. Discover the groundbreaking technology behind the world's first deep learning-enabled camera. Through engaging demonstrations, gain insights.
provider Independent
pricing Free Online Course
duration 2-3 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!