Machine Learning courses

1335 Courses

Introduction to Machine Learning: Art of the Possible

Introduction to Machine Learning: Art of the Possible The Introduction to Machine Learning: Art of the Possible course provides best practices and recommendations for machine learning (ML) competency and a roadmap for integrating ML into your business processes. This course focuses on business leaders and other decision makers currentl.
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AI-Powered Software and System Design

AI-Powered Software and System Design | Coursera AI-Powered Software and System Design - Coming soon! Provider: Coursera Categories: Machine Learning Courses, Deep Learning Courses
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Machine Learning for Healthcare Professionals

Title: Machine Learning for Healthcare Professionals Description: Examines data mining perspectives and methods in a healthcare context. Introduces the theoretical foundations for major data mining methods and studies how to select and use the appropriate data mining method and the major advantages for each. Students are exposed to contemporary.
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Generative AI for Healthcare Students and Professionals

Generative AI for Healthcare Students and Professionals This course aims to provide healthcare students and professionals with a solid foundation in how generative AI is used in their sector, adopting a balanced discourse of information. Participants will engage with case studies that analyze the current landscape of AI in various fields such as.
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ChatGPT and GPT-4 LLM Guide- Prompt Engineering for Everyone

ChatGPT and GPT-4 LLM Guide - Prompt Engineering for Everyone | Udemy Provider: Udemy Course Categories: Artificial Intelligence Courses Machine Learning Courses ChatGPT Courses GPT-4 Courses Prompt Engineering Courses AI Ethics Courses Course Description: Learn Prompt Engineering the right way with ChatGPT and its Plugins. No tec.
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What Is Generative AI?

What Is Generative AI? Discover the world of Generative AI with LinkedIn Learning’s comprehensive course. Delve into the fundamentals of generative AI, from its historical context and popular models to the intricate mechanics and ethical considerations of this transformative technology.
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Getting Started with Data Science

Getting Started with Data Science In 2012, Harvard Business Review named data science the "sexiest job of the 21st century." Why are data scientists in such demand these days? The answer is that over the past decade, there has been an explosion in the data generated and retained by companies, and they need to leverage and exploit it. Data scientis.

Exam Prep Official Practice Question Set: AWS Certified AI Practitioner (AIF-C01 - English)

Exam Prep Official Practice Question Set: AWS Certified AI Practitioner (AIF-C01 - English) Exam Prep Official Practice Question Set: AWS Certified AI Practitioner (AIF-C01 - English) includes 20 questions. This question set aligns with the AIF-C01 version of the exam and exam guide. About AWS Certification Exam Prep Official Practice Question S.
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Amazon Q Introduction (Japanese) (Sub) 日本語字幕版

Amazon Q Introduction (Japanese) (Sub) 日本語字幕版 *このコースは機械翻訳で対応されています。 このコースでは、生成人工知能 (AI) 搭載アシスタントである Amazon Q の概要を説明します。Amazon Q を会社の情報、コード、システムにリンクすることのユースケースと利点について学びます。また、特定のユースケースへの関心に基づいて、学習を進めるための追加情報も.
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Fundamentals of Analytics on AWS – Part 1 (Japanese)

Fundamentals of Analytics on AWS – Part 1 (Japanese) このコースは、受講者にアナリティクスの現在の市場動向を紹介することを目的とした 2 つのコースのうちの 1 つ目のコースです。第 1 部では、分析のタイプ、ビッグデータの 5 V、大量データの処理に関連する課題などの基本的な概念を学びます。また、このコースでは、ビッグデータの 5 V を分析用の AWS サービスにマ.
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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!