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Machine Learning courses

1770 Courses

California Institute of Technology Northeastern University

NLP in Engineering: Concepts & Real-World Applications

Join our comprehensive course, "NLP in Engineering: Concepts & Real-World Applications," offered by Northeastern University on Coursera. Dive into the world of Natural Language Processing and explore various techniques and their principles to address engineering problems. This course is tailored to focus on practical implementation skills acr.
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California Institute of Technology CourseHorse

Microsoft Azure AI Fundamentals (Live Online)

Delve into the essentials of artificial intelligence (AI) with our Microsoft Azure AI Fundamentals course. This online class provides a comprehensive introduction to AI concepts and the corresponding Azure services that support the creation of AI solutions. While it is not tailored to transform you into a data scientist or software develo.
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California Institute of Technology CourseHorse

ChatGPT 5 Day Camp Private (Ages 11-18) (Live Online)

Experience an immersive educational adventure in the ChatGPT 5 Day Camp, specially crafted for ages 11-18. This online camp offers a comprehensive introduction to artificial intelligence and machine learning, alongside practical skills in building ChatBots. Day 1: Dive into Artificial Intelligence (AI) with an overview of machine learning al.
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California Institute of Technology CourseHorse

AI & Machine Learning Bootcamp (Live Online)

The Fullstack Academy Artificial Intelligence & Machine Learning Bootcamp is an intensive part-time program designed for current and aspiring data professionals. Over 26 weeks, you'll master both practical and theoretical machine learning concepts using industry-standard tools. Gain proficiency in Python, Keras, and TensorFlow, and qualify fo.
California Institute of Technology Coursera

Introduction to Generative AI in Finance

Are you aware that generative AI is rapidly reshaping the financial services landscape? This groundbreaking technology is transforming how we analyze markets, manage risks, and tailor financial products, opening up unprecedented avenues for efficiency and innovation in the finance sector. We've designed this concise course to equip finance profe.
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California Institute of Technology Johns Hopkins University

Foundations of Neural Networks

Foundations of Neural Networks - Specialization by Johns Hopkins University This Specialization by Johns Hopkins University, available on Coursera, is tailored for post-graduate students aiming to advance their expertise in neural networks and deep learning. The program encompasses three comprehensive courses that delve into the mathematical theo.
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California Institute of Technology CourseHorse

AI for Python (Live Online)

Embark on a transformative learning journey with our AI for Python (Live Online) course, designed for both beginners and those with intermediate Python skills. This hands-on course covers essential AI concepts, providing you with the expertise to integrate AI into your projects. Throughout the course, engage in a blend of theoretical unders.
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California Institute of Technology Johns Hopkins University

AI Strategy and Project Management

AI Strategy and Project Management - Johns Hopkins University The "AI Strategy and Project Management" specialization is tailored for leaders responsible for leading AI initiatives within their organizations. As AI technologies, including machine learning, deep learning, symbolic AI, and generative AI, continue to redefine the industrial and gov.
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California Institute of Technology New York University (NYU)

Digital Marketing Tools: Machine Learning and AI

Join the NYU course on Coursera and discover the impact of machine learning and AI on digital marketing. This dynamic course offers businesses the skills to automate decision-making and predict customer behavior using advanced tools. Explore powerful techniques to optimize marketing efforts in real-time and gain insights into machine lear.
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California Institute of Technology Johns Hopkins University

Responsible AI and Ethics

Responsible AI and Ethics Course by Johns Hopkins University offers an in-depth exploration of the ethical, social, and technical facets of artificial intelligence and machine learning. This course enables learners to identify and address biases present in both human and machine systems, offering strategies to mitigate associated risks. Delve.
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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!