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Machine Learning courses

1795 Courses

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California Institute of Technology AWS Skill Builder

Exploring Artificial Intelligence Use Cases and Applications (简体中文)

在本课程中，您将探索现实世界各行各业中人工智能 (AI)、机器学习 (ML) 和生成式人工智能的使用案例。这些领域包括医护、金融、营销、娱乐等。您还将了解 AI、ML 和生成式人工智能的能力和局限性、模型选择技巧和关键业务指标。 课程级别：基础级 时长：1 小时 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.
provider AWS Skill Builder
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California Institute of Technology AWS Skill Builder

Responsible Artificial Intelligence Practices (简体中文)

在本课程中，您将学习负责任的 AI 实践。首先，您将了解什么是负责任的 AI，学习定义与挑战，并探索其核心维度。 然后，深入开发负责任的 AI 系统，了解 AWS 提供的服务和工具，以及在模型选择和数据准备中的注意事项。 最后，您将了解透明且可解释的模型，探索其权衡考虑因素及以人为本的设计原则。 课程级别：基础级 时长：1 小时 课程内容：包含互动元素、文字.
provider AWS Skill Builder
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California Institute of Technology AWS Skill Builder

Exploring Artificial Intelligence Use Cases and Applications (한국어)

이 과정에서는 다양한 산업의 실제 인공 지능, 기계 학습(ML) 및 생성형 인공 지능(생성형 AI) 사용 사례를 살펴봅니다. 이러한 산업에는 의료, 금융, 마케팅, 엔터테인먼트 등이 포함됩니다. 또한 AI, ML, 생성형 AI의 기능 및 제한 사항, 모델 선택 기법, 주요 비즈니스 지표에 대해서도 알아봅니다. 과정 수준: 기초 소요 시간: 1시간 이 과정에는 대화형 요소,.
provider AWS Skill Builder
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California Institute of Technology AWS Skill Builder

Developing Generative Artificial Intelligence Solutions (한국어)

이 과정에서는 다음을 포함하는 생성형 인공 지능(생성형 AI) 애플리케이션 수명 주기를 살펴봅니다. 비즈니스 사용 사례 정의 파운데이션 모델(FM) 선택 FM 성능 개선 FM 성능 평가 배포 및 비즈니스 목표에 미치는 영향 이 과정은 생성형 AI 입문 과정으로, 프롬프트 엔지니어링, 검색 증강 생성(RAG), 파인 튜닝을 사용한 FM 사용자 지정과 관련된 개념을.
provider AWS Skill Builder
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California Institute of Technology AWS Skill Builder

Developing Generative Artificial Intelligence Solutions (简体中文)

在本课程中，您将探索生成式人工智能应用程序生命周期，其中包括以下内容： 定义业务使用案例 选择基础模型 (FM) 提高 FM 的性能 评估 FM 的性能 部署及其对业务目标的影响 本课程是生成式人工智能课程的入门课程，这些课程深入探讨了使用提示工程、检索增强生成 (RAG) 和微调技术自定义 FM 的相关概念。 课程级别：基础级 时长：1 小时 注意：本课程具有.
provider AWS Skill Builder
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California Institute of Technology AWS Skill Builder

Responsible Artificial Intelligence Practices (한국어)

In this course, you will explore responsible AI practices. It begins with an introduction to what responsible AI means, including defining responsible AI, understanding the challenges it seeks to overcome, and exploring its core elements. Next, the course delves into various topics for developing responsible AI systems and introduces the services.
provider AWS Skill Builder
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California Institute of Technology AWS Skill Builder

Fundamentals of Machine Learning and Artificial Intelligence (Bahasa Indonesia)

Dalam kursus ini, Anda akan belajar tentang dasar-dasar machine learning (ML) dan kecerdasan buatan (AI). Anda akan melihat berbagai bentuk hubungan antara AI, ML, deep learning, dan bidang kecerdasan buatan generatif yang sedang berkembang (AI generatif). Anda akan mendapatkan pemahaman yang sangat baik tentang istilah AI dasar, sehingga me.
provider AWS Skill Builder
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California Institute of Technology AWS Skill Builder

Developing Generative Artificial Intelligence Solutions (ไทย)

ในหลักสูตรนี้ คุณจะสำรวจวงจรชีวิตของแอปพลิเคชันปัญญาประดิษฐ์ช่วยสร้าง (Generative AI หรือ AI ช่วยสร้าง) ได้แก่ การกำหนดกรณีใช้งานทางธุรกิจ การเลือกโมเดลพื้นฐาน (FM) การปรับปรุงประสิทธิภาพของ FM การประเมินประสิทธิภาพของ FM การนำไปใช้จริงและผลกระทบต่อวัตถุประสงค์ทางธุรกิจ หลักสูตรนี้เป็นการปูพื้นฐานไปสู่หลักสูตร AI ช่วยสร้างหลักสูตรต.
provider AWS Skill Builder
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California Institute of Technology AWS Skill Builder

Responsible Artificial Intelligence Practices (ไทย)

ในหลักสูตรนี้ คุณจะได้เรียนรู้เกี่ยวกับแนวทางปฏิบัติด้าน AI ที่มีความรับผิดชอบ เริ่มต้นด้วยการเรียนรู้ว่า AI ที่มีความรับผิดชอบคืออะไร การนิยาม ความท้าทาย และมิติหลักของ AI ที่มีความรับผิดชอบ จากนั้นคุณจะเจาะลึกเกี่ยวกับการพัฒนาระบบ AI ที่มีความรับผิดชอบ พร้อมแนะนำบริการและเครื่องมือของ AWS เพื่อสนับสนุน AI ที่มีความรับผิดชอบ นอกจากนี้ คุณยังจะ.
provider AWS Skill Builder
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California Institute of Technology Udemy

LLM Fine Tuning on OpenAI

Udemy Experience the cutting-edge capabilities of OpenAI as you dive into the world of fine-tuning large language models. This course provides you with the essential knowledge and skills to customize LLMs to suit your specific datasets and applications. Join a dynamic learning journey with our expert-led sessions on a variety of topics, includi.
provider Udemy

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!