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Machine Learning courses

1334 Courses

California Institute of Technology AWS Skill Builder

Amazon Q Introduction (Simplified Chinese)

本课程概述了 Amazon Q，这是一款基于生成式人工智能 (AI) 的助手。您将了解将 Amazon Q 与贵公司信息、代码和系统相关联的使用案例和益处。您还将根据您对特定使用案例的兴趣查找其他信息，以推进您的学习之旅。技术型和非技术型学员都将了解 Amazon Q 如何以安全可靠的方式提高其生产力。 课程级别：基础级 时长：15 分钟 注意：本课程具有本地化的注释/字幕。 旁白保留.
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California Institute of Technology AWS Skill Builder

Optimizing Foundation Models (Traditional Chinese)

在本課程中，您將探索兩種改善基礎模型 (FM) 效能的技術：檢索增強生成 (RAG) 和微調。您將了解 Amazon Web Services (AWS) 服務，這些服務有助於使用向量資料庫儲存內嵌、客服在多步驟任務中的角色、定義微調 FM 的方法、如何準備用於微調的資料等等。 課程等級：基礎 課程時長：1 小時 本課程包括互動元素、文字指令和說明性圖形。 課程目標 識別有助於使用向量.
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California Institute of Technology AWS Skill Builder

Security, Compliance, and Governance for AI Solutions (Traditional Chinese)

本課程幫助了解與人工智慧 (AI) 解決方案相關的安全性、合規與管控問題。學習識別 AI 系統的管控和合規要求，及如何使用 Amazon Web Services (AWS) 服務以協助管控與合規。介紹的 AWS 服務可以保護 AI 系統的安全。 課程等級：基礎 課程時長：1 小時 本課程包括互動元素、文字指令和說明性圖形。 課程目標 識別並描述 AI 系統的常見管控和合規考量因素。 描述協助套用管.
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California Institute of Technology AWS Skill Builder

Developing Machine Learning Solutions (Thai)

นักเรียนที่เข้าร่วมในหลักสูตรแมชชีนเลิร์นนิงนี้จะได้เรียนรู้เกี่ยวกับการดำเนินงานในวงจรชีวิตของแมชชีนเลิร์นนิง พร้อมค้นพบวิธีการใช้บริการ AWS ในแต่ละขั้นตอนอย่างรอบคอบ หลักสูตรนี้ยังแสดงให้เห็นถึงความสำคัญของ MLOps ในการปรับปรุงการพัฒนาและใช้งานเครื่องมืออย่างมีประสิทธิภาพ ระดับหลักสูตร: พื้นฐาน ระยะเวลา: 1 ชั่วโมง กิจกรรม หลักสูตรนี.
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California Institute of Technology AWS Skill Builder

AWS ML Engineer Associate Curriculum Overview (Korean)

AWS ML 엔지니어 어소시에이트 교육 과정의 이 입문자용 과정에서는 기계 학습(ML) 관련 기본 사항을 복습하고 ML 및 AI의 발전 상황을 살펴봅니다. 비즈니스 목표를 파악하고 ML 문제를 공식화하며 Amazon SageMaker에 대해 알아봅니다. 과정 수준: 고급 소요 시간: 45분 참고: 이 과정의 동영상에는 한국어 트랜스크립트 또는 자막이 지원됩니다. 자막을 표시하.
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California Institute of Technology AWS Skill Builder

AWS ML Engineer Associate 2.1 Choose a Modeling Approach (Korean)

AWS ML 스택 계층을 살펴보고 AWS 서비스를 사용하여 일반적인 비즈니스 문제를 해결하는 방법을 알아봅니다. 이 과정에서는 기계 학습 태스크에 Amazon SageMaker를 사용하는 방법과 적절한 모델을 선택하기 위한 전략을 검토하는 방법을 살펴봅니다. 또한 사전 훈련된 Amazon SageMaker JumpStart ML 솔루션의 특정 시나리오를 중점적으로 설명하고 비즈니스 요구 사항에.
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California Institute of Technology AWS Skill Builder

Optimizing Foundation Models (Indonesian)

Optimizing Foundation Models (Indonesian) Dalam kursus ini, Anda akan mengeksplorasi dua teknik untuk meningkatkan kinerja model fondasi (FM): Retrieval-Augmented Generation (RAG) dan penyempurnaan. Anda akan belajar mengenai layanan Amazon Web Services (AWS) yang membantu menyimpan penyematan dengan basis data vektor, peran agen dalam tugas den.
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California Institute of Technology AWS Skill Builder

AWS Flash - Unleashing Innovation: The Generative AI Revolution (Indonesian)

Kita berada dalam masyarakat di mana garis antara apa yang diciptakan oleh manusia, dan apa yang diciptakan oleh mesin, makin kabur. AI generatif telah menjadi titik balik dalam cara kita membuat, merancang, dan berinteraksi dengan teknologi. Tetapi bagaimana cara kerjanya, apa manfaat di luar kebaruan dan apa risikonya? Bergabunglah dengan kam.
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California Institute of Technology AWS Skill Builder

AWS Cloud Quest: Generative AI (Japanese)

Provider: AWS Skill Builder Categories: Machine Learning Courses, Cloud Computing Courses, Generative AI Courses, Amazon Web Services (AWS) Courses, Amazon SageMaker Courses, LangChain Courses, Amazon S3 Courses, AWS Lambda Courses
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California Institute of Technology AWS Skill Builder

AWS Cloud Quest: Machine Learning (Japanese)

Explore the dynamic world of cloud computing and machine learning with AWS Cloud Quest: Machine Learning - offered in Japanese by AWS Skill Builder. This course is your gateway to mastering essential concepts such as: Cloud computing fundamentals with Amazon S3. Introductory cloud steps using Amazon EC2 and AWS infrastructure. Estimat.
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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!