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Machine Learning courses

1334 Courses

California Institute of Technology AWS Skill Builder

AWS Flash - Chalk Talks: Generative AI on AWS (Simplified Chinese)

本课程概述了可供客户在 AWS 上构建生成式人工智能应用程序的选项。 本课程将着重介绍如何利用 Amazon SageMaker Jumpstart 上的基础模型来构建生成式人工智能应用程序。 课程级别：基础级 时长：55 分钟 注意：本课程具有本地化的注释/字幕。 旁白保留英语。要显示字幕，请单击播放器右下角的 CC 按钮。 课程内容 本课程包括幻灯片内容和演示。 课程目标 在本课程中.
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California Institute of Technology SAP Learning

Getting Started with Data Science

In 2012, Harvard Business Review labeled data science as the "sexiest job of the 21st century." The high demand for data scientists today stems from the massive surge in data generation and retention by companies over the last decade, creating a need for skilled professionals to leverage and utilize this information effectively. Data scientists are.
California Institute of Technology Microsoft Learn

Implement AI models with Microsoft Power Platform AI Builder

Embark on a transformative journey with Microsoft Power Platform AI Builder, where you'll unravel the intricacies of implementing powerful AI models tailored for business efficiency. Module 1: Discover document automation's advantages and its potential to optimize your workflow. You'll gain insights into appropriate scenarios and attainab.
California Institute of Technology SAP Learning

Exploring the World of AI

Embark on an educational journey with our course, "Exploring the World of AI," offered by SAP Learning. Dive deep into the fundamental principles and various concepts of AI, including fascinating perspectives on machine learning and symbolic AI through engaging mediums like board and computer games. This course also sheds light on the common pit.
California Institute of Technology Coursera

Introduction to Generative AI for Data Analysis

Welcome to the Introduction to Generative AI for Data Analysis, a foundational course designed to provide you with a comprehensive understanding of generative AI and its practical applications in the field of data analysis. Throughout this course, you will: Define generative AI and understand its pivotal role in data analysis. Explor.
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California Institute of Technology Coursera

Advanced Data Analysis with Generative AI

Join the course 'Advanced Data Analysis with Generative AI' to explore sophisticated analytical methods using AI. You'll gain hands-on experience with predictive modeling, time-series forecasting, and anomaly detection to uncover patterns in complex datasets. This course also covers text data analysis, which allows you to derive insights from un.
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California Institute of Technology University of Naples Federico II

Data Science for Agile Decision-Making

Boost your business acumen with the course 'Data Science for Agile Decision-Making' presented by the University of Naples Federico II available on Coursera. This comprehensive course equips you with the skills to utilize data science effectively for more informed, agile decision-making. Delve into the essentials of data collection, analysis,.
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California Institute of Technology Pluralsight

Responsible AI with Amazon Bedrock

Dive into the world of responsible AI with our course focused on Amazon Bedrock. Offered by Pluralsight, this course covers essential AI responsibility principles highlighted through Amazon's Guardrails framework, driving ethical practices in AI development. AI is rapidly transforming the tech landscape and influencing our daily lives. In this.
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California Institute of Technology Pluralsight

Everything You Need to Know about the AWS Certified AI Practitioner Exam

Discover all you need to know to successfully pass the AWS Certified AI Practitioner exam with expert guidance from Michael Cassidy, a DevOps Author at Pluralsight who recently aced the exam. If you're currently studying for this certification, you won't want to miss this comprehensive breakdown of expected topics, essential study areas, and.
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California Institute of Technology Pluralsight

Everything You Need to Know about the AWS Certified Machine Learning Engineer - Associate Exam

All You Need for the AWS Certified Machine Learning Engineer - Associate Exam AWS Machine Learning Learning Path AWS Machine Learning/AI Learning Path Join Senior Cloud Author David Blocher as he guides you through the AWS Certified Machine Learning Engineer - Associate exam. Gain insight into the exam's structure, delve into key topics, and l.
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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!