Machine Learning courses

1514 Courses

Attention Mechanism

Explore the Attention Mechanism: Enroll in our comprehensive course on Coursera to master the attention mechanism, an innovative method enabling neural networks to selectively concentrate on certain segments of an input sequence. Delve into the mechanisms of attention, understand its operational framework, and discover its application in enhancing.
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provider Coursera
pricing Free Online Course (Audit)
duration 1 hour
sessions On-Demand

Communicating with Natural Language

Join our engaging Communicating with Natural Language course, offered by Udacity, and delve into the innovative world of voice user interfaces. This course is perfect for those looking to harness the power of speech-to-text and text-to-speech technologies through the application of deep neural networks. Whether you're interested in Machine Learning.
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provider Udacity
pricing Free Online Course
sessions On-Demand

AI for Medical Prognosis

Discover the revolutionary role of AI in healthcare with our exciting course, "AI for Medical Prognosis." This cutting-edge specialization is crafted to provide you with hands-on experience in leveraging machine learning to tackle real-life challenges in the medical field. Whether you're predicting patient outcomes, diagnosing conditions with great.
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provider Coursera
pricing Free Online Course (Audit)
duration 30 hours
sessions On-Demand

Computer Vision with Embedded Machine Learning

Embark on a journey into the fascinating world of Computer Vision (CV) with our cutting-edge course designed to equip you with the skills to enable computers to perceive and interpret the world. This course, a collaborative effort by Edge Impulse, OpenMV, Seeed Studio, and the TinyML Foundation, dives deep into how deep learning and neural networks.
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provider Coursera
pricing Free Online Course (Audit)
duration 31 hours
sessions On-Demand

Deep Learning Summer School

Discover the cutting-edge advancements in AI and machine learning at the Deep Learning Summer School. Perfect for graduate students and professionals with a foundational understanding of machine learning, this program dives deep into the world of deep neural networks. Learn how these networks have revolutionized speech recognition, object recogniti.
provider Independent
pricing Free Online Course
sessions On-Demand

Machine Learning Models in Science

Explore Machine Learning in Science with Coursera Delve into the fascinating world of machine learning and its application in scientific arenas with this comprehensive course offered by Coursera. Designed for individuals eager to apply machine learning techniques to tackle scientific issues, this curriculum provides an extensive walkthrough of the.
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provider Coursera
pricing Free Online Course (Audit)
duration 12 hours
sessions On-Demand

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

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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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

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

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!