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Machine Learning courses

1795 Courses

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California Institute of Technology Udemy

Product Design in AI | Artificial Intelligence and Users

provider Udemy
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California Institute of Technology edX

Mastering Generative AI for Data Science

Mastering Generative AI for Data Science Generative AI is revolutionizing the data science field, and mastering its applications is vital for data science professionals. This comprehensive course offers advanced generative AI skills tailored specifically for data scientists. Dive into real-world scenarios where you will harness the power of genera.
provider edX
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California Institute of Technology edX

Generative AI and its Applications in Finance

Generative AI and its Applications in Finance Generative AI (GAI) is a powerful technology that enables computers to create new content, such as text, images, or financial data, by learning from existing patterns. Unlike traditional AI, which analyses and processes data, GAI leverages advanced machine learning models to generate realistic outputs.
provider edX
California Institute of Technology Politecnico di Milano

Data, Algorithms, and Ethical Challenges: Exploring the AI Revolution in Medicine

Delve into the transformative role of Artificial Intelligence in the medical field. This engaging course at Politecnico di Milano examines how AI, driven by data, is revolutionizing healthcare systems worldwide. Discover the ethical challenges and responsibilities that accompany these technological advancements. Enhance your understanding of the.
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California Institute of Technology University of California, Davis

Writing with Generative AI

Join the University of California, Davis on Coursera for an engaging course that demystifies the world of Generative AI. Across four comprehensive modules, learn to navigate the technological landscape and maximize AI's potential effectively. In Module 1, explore generative AI and Large Language Models (LLMs), gaining the skills to harness.
provider Coursera
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California Institute of Technology Pluralsight

Building Apps with Machine Learning in .NET

Unlock the potential of machine learning with the course, "Building Apps with Machine Learning in .NET." Dive into the world of AI by learning to create algorithms that predict outcomes based on your data. This course empowers you to train, build, and deploy custom machine learning models within your .NET applications. Begin your journey by.
provider Pluralsight
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California Institute of Technology ESSEC Business School

Artificial Intelligence in Wealth Management

Delve into the evolving landscape of wealth management through our immersive course on Artificial Intelligence. Discover how AI is revolutionizing financial advisory services, from planning to risk management, in a structured, easy-to-follow format. This course offers an extensive examination of AI's impact through three meticulously crafted mo.
provider Coursera
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California Institute of Technology Google Cloud Skills Boost

Generative AI for Developers

Explore the cutting-edge realm of Generative AI with Google Cloud Skills Boost’s tailored learning path specifically crafted for professionals in app development, machine learning, and data science. With a strong emphasis on technical application, this course takes an in-depth look into concepts like Diffusion Models, BERT, and Transformer Mod.
provider Google Cloud Skills Boost
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California Institute of Technology Udacity

AI/ML Fluency

Institution: Udacity Course Categories: Artificial Intelligence Courses Machine Learning Courses
provider Udacity
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California Institute of Technology ESSEC Business School

Advanced Topics in Artificial Intelligence

Artificial Intelligence is transforming industries, revolutionizing business operations, and redefining decision-making. This advanced course from ESSEC Business School offers profound insights into AI's most sophisticated applications. Join us on Coursera to explore cutting-edge infrastructures, robotics, and business strategies that are shapin.
provider Coursera

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!