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Machine Learning courses

1334 Courses

California Institute of Technology AWS Skill Builder

AWS Flash - Chalk Talks: Generative AI on AWS (Korean)

이 과정에서는 고객이 AWS에서 생성형 AI 애플리케이션을 빌드할 때 사용할 수 있는 옵션을 간략하게 설명합니다. 이 과정은 특히 Amazon SageMaker JumpStart의 파운데이션 모델을 활용하여 생성형 AI 애플리케이션 빌드를 중점적으로 설명합니다. 과정 수준: 기초 소요 시간: 55분 참고: 이 과정의 동영상에는 한국어 트랜스크립트 또는 자막이 지원되며 음성은.
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California Institute of Technology AWS Skill Builder

AWS Flash - Chalk Talks: Generative AI on AWS (Japanese)

このコースでは、AWS で生成 AI アプリケーションを構築しようとしているお客様が利用できるさまざまなオプションについて解説します。このコースでは特に、Amazon SageMaker Jumpstart の基盤モデルを活用して生成 AI アプリケーションを構築する方法に焦点を当てます。 コースレベル: 基礎 所要時間: 55 分 このコースにはスライドとデモが含まれています。 このコ.
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California Institute of Technology AWS Skill Builder

AWS Flash - Memahami Machine Learning, Amazon SageMaker Canvas, dan Kasus Penggunaannya

Join us for AWS Flash: Memahami Machine Learning, a comprehensive session focused on Amazon SageMaker Canvas. This event will cover practical use cases within the financial services sector to enhance your understanding of machine learning. Hosted by AWS Skill Builder, this workshop is tailored for anyone interested in expanding their knowledge of A.
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California Institute of Technology Coursera

Google Cloud Digital Leader Training 日本語版

Google Cloud Digital Leaderトレーニングは、クラウド技術とデータに関する基礎知識を取得するために構成された6コースシリーズです。参加者は、Google Cloudの製品とサービスを通じて組織のデジタルトランスフォーメーションを可能にする知識を習得できます。このトレーニングは、クラウド関連のビジネスイニシアチブに貢献できる力を身に付けることを目的としてい.
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California Institute of Technology Coursera

Certificado profissional: Google Cloud Digital Leader

O Certificado profissional Google Cloud Digital Leader é um programa de treinamento abrangente composto por uma série de seis cursos que cobrem conceitos básicos sobre dados e tecnologia na nuvem. Os participantes recebem uma visão geral dos produtos e serviços do Google Cloud, que impulsionam transformações digitais em organizações. Esse tre.
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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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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 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

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 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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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!