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Machine Learning courses

1334 Courses

California Institute of Technology SAP Learning

Generative AI at SAP

Discover how artificial intelligence (AI) transforms business processes with the 'Generative AI at SAP' course. This program provides a comprehensive understanding of AI's fundamental uses and benefits in a professional setting. Participants will explore different AI methodologies and study detailed use cases. Upon completion, attendees will gain.
California Institute of Technology AWS Skill Builder

Exam Prep Official Pretest: AWS Certified AI Practitioner (AIF-C01 - Simplified Chinese)

Exam Prep Official Pretest: AWS Certified AI Practitioner (AIF-C01 - Simplified Chinese) offers 65 questions with a 90-minute limit. This pretest aligns with the AIF-C01 exam version and guide. About AWS Certification Pretest Utilize the full-length official pretest crafted by AWS experts to approach test day with confidence. By participating.
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California Institute of Technology AWS Skill Builder

Simulado oficial de recursos para exames : AWS Certified AI Practitioner (AIF-C01 - Português (Brasil)) | Exam Prep Official Pretest: AWS Certified AI Practitioner (AIF-C01 - Portuguese (Brazil))

Prepare-se para o AWS Certified AI Practitioner (AIF-C01), em Português (Brasil), com um simulado oficial que contém 65 perguntas a serem respondidas em 90 minutos. Este pré-teste reflete a versão do exame AIF-C01, seguindo rigorosamente o guia do exame. Sobre os pré-testes AWS Certification Aumente sua confiança para o dia do exame com um pré-te.
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California Institute of Technology

Understanding LLMs and Basic Prompting Techniques

Join our comprehensive course, "Understanding LLMs and Basic Prompting Techniques," designed to equip learners with essential knowledge about Large Language Models (LLMs) and the art of crafting effective prompts. Uncover the mechanisms behind popular models such as GPT-3.5, GPT-4, LLaMA, and Claude 2, and learn how they generate coherent text.
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California Institute of Technology CodeSignal

Neural Networks Basics from Scratch

Embark on an in-depth exploration of Neural Networks and their pivotal role in modern AI with our comprehensive course. Gain hands-on experience by manually implementing foundational AI tools such as Perceptrons, activation functions, and the integral components of multi-layer Neural Networks. Delve into the core mechanisms without relying o.
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California Institute of Technology University of California, Davis

AI for Knowledge Workers

Enroll Now - Enhance your skills in AI with the University of California, Davis through Coursera. This beginner-friendly course is your gateway to understanding AI, from Machine Learning to Generative AI, enabling you to transform your approach to both creative and critical thinking tasks in the workplace. Learn to harness AI technologies like.
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California Institute of Technology FutureLearn

Practical Machine Learning for AI: Foundational Skills and Experiments

Unlock the potential of machine learning and take your first steps towards mastering this revolutionary technology. Enroll in this course to uncover its fundamental principles, understand ethical considerations, and gain practical skills that set you apart in artificial intelligence. Machine learning is at the core of today’s AI advancement.
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California Institute of Technology Microsoft Learn

Ethical AI

Ethical AI Enhance your understanding of ethical AI with Microsoft's comprehensive course. This program covers critical areas such as AI workloads and Azure AI Services, emphasizing Microsoft's commitment to Responsible AI policies. Module 1: Explore AI solutions and the essentials of responsible AI practices. Discover the potential.
California Institute of Technology FutureLearn

Machine Learning Basics

Sharpen your digital skills by leveraging predictive analytics across multiple industries with machine learning at the forefront. In collaboration with FutureLearn, join Sungkyunkwan University for a four-week course and stay ahead of the competition. Enhance your understanding of AI and machine learning's core ideas to become a tech-savvy playe.
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California Institute of Technology CodeSignal

AI Theory and Coding

AI Theory and Coding | CodeSignal AI Theory and Coding Provider: CodeSignal Delve into the fascinating realm of Artificial Intelligence with our comprehensive course. Specifically crafted to equip you with a profound understanding of traditional Machine Learning techniques, our program guides you through implementing key algor.
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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!