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Machine Learning courses

1795 Courses

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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.
provider Coursera
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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.
provider CourseHorse
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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.
provider Coursera
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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.
provider Coursera
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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.
provider Coursera
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California Institute of Technology Johns Hopkins University

Core Concepts in AI

The "Core Concepts in AI" course is your gateway to mastering artificial intelligence (AI) and machine learning (ML). Designed by Johns Hopkins University and available on Coursera, it provides a comprehensive foundation in AI, helping you understand, evaluate, and implement AI systems effectively. Throughout the course, gain a clear grasp of.
provider Coursera
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California Institute of Technology New York University (NYU)

Digital Marketing Analytics

In today's digital age, businesses have unprecedented access to detailed customer data, with the trend of big data only set to increase. Combining marketing history with this vast data pool opens up new opportunities for actionable insights, but requires the right tools and skills. This course leverages real-world applications from various in.
provider Coursera
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California Institute of Technology CourseHorse

AI-3002: Create document intelligence solutions with Azure AI Document Intelligence (Live Online)

Join the AI-3002 course and learn how to leverage Azure AI Document Intelligence for enhanced document processing workflows. This dynamic course is designed to equip you with the skills needed for efficient data extraction and storage, transforming documents into actionable insights. Perfect for professionals aiming to streamline administrativ.
provider CourseHorse
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California Institute of Technology CourseHorse

Kids Python with Artificial Intelligence Camp Private (Ages 11-18) (Live Online)

Welcome to the Kids Python with Artificial Intelligence Camp, designed for ages 11-18 and conducted live online. This engaging intro program offers a comprehensive introduction to Python alongside fundamental AI concepts. Day One: - Discover the history of Python - Introduction to AI with Python - Learn about Teachable Machine - Master Pytho.
provider CourseHorse
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California Institute of Technology CourseHorse

Artificial Intelligence (AI) Business Essentials Certificate Program (Live Online)

Discover the significant influence of Artificial Intelligence (AI) on business and how it parallels historic innovations such as electricity. This live online program will deepen your understanding of AI technology, its current applications in your business, and the vast opportunities it brings for professional and societal impact. Upon completi.
provider CourseHorse

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!