Machine Learning courses

1770 Courses

TensorFlow for Deep Learning Bootcamp

TensorFlow for Deep Learning Bootcamp | Udemy Enroll in the TensorFlow for Deep Learning Bootcamp offered by Udemy and elevate your skills in Artificial Intelligence, Machine Learning, and Deep Learning. This comprehensive course is designed to provide you with hands-on experience and in-depth knowledge using TensorFlow, Google's powerful open-so.
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Linear Regression and Logistic Regression using R Studio

Discover the foundational concepts of Linear Regression and Logistic Regression tailored for beginners in R Studio. This course provides a clear understanding of the distinctions between Regression and Classification, equipping you with essential skills for data analysis and visualization. Offered by Udemy, this course is perfect for those l.
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Microsoft Azure for AI and Machine Learning

This comprehensive course immerses you in Microsoft Azure's AI and Machine Learning services, offering valuable hands-on experience. Develop the skills to set up, manage, and troubleshoot Azure-based AI & ML workflows. The curriculum addresses the entire ML lifecycle in Azure, spanning from data preparation to model deployment and monitoring..
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H2O ai Large Language Models (LLMs) - Level 1

Embark on your journey with Large Language Models (LLMs) through our Level 1 course, crafted for both novices and individuals with some machine learning background. Gain a deep understanding of critical concepts and techniques in language modeling, guided by Andreea Turcu, an AI education specialist from H2O ai. Discover the essence of langu.
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H2O Gen AI Ecosystem Overview - Level 1

Immerse yourself in the H2O GenAI ecosystem with the Ecosystem Overview - Level 1 course. This comprehensive course introduces you to the powerful tools and techniques of the H2O GenAI ecosystem, guided by Andreea Turcu, Head of Global Training at H2O.ai, along with guest lectures from expert H2O.ai Makers. Explore the following key areas:.
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Sentiment Analysis with NLP using Python and Flask

Embark on an enlightening journey with the "Sentiment Analysis with NLP using Python and Flask" course offered by Udemy. This course encompasses the enticing domains of Sentiment Analysis and Natural Language Processing (NLP), fortified by Python and Flask, providing a hands-on project to solidify your learning. As you delve into this course,.
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Engineering Responsible AI

Engage deeply with the core principles and practices essential for developing responsible AI systems in this insightful course offered by Tsinghua University through XuetangX. Discover the key ethical considerations and fairness metrics necessary to create equitable AI solutions. Explore strategies for bias mitigation, understand the importa.
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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!