Machine Learning courses

1771 Courses

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,.
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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.
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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.
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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.
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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.
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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.
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Practical Machine Learning for Data Scientists

Embark on a journey into the world of Artificial Intelligence with Udemy's Practical Machine Learning for Data Scientists course. Whether you're diving into AI for the first time or looking to sharpen your skills, this course provides a solid foundation in practical AI and ML techniques. Learn from Udemy - a leader in online education - and ga.
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Google BigQuery for Programmers: Analyze & Visualize

Enhance your professional journey with comprehensive learning in Google BigQuery. This course empowers you to master data analysis and visualization, transforming you into a highly sought-after data analyst equipped with in-demand skills. Available at leading online platform Udemy, this course is perfect for those looking to excel in the real.
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Impacto de la IA en la Innovación de Negocios

El curso "Impacto de la IA en la Innovación de los Negocios" examina cómo la inteligencia artificial está revolucionando el ámbito empresarial actual. Ofrecido por el prestigioso Tecnológico de Monterrey a través de la plataforma Coursera, este curso te ayudará a comprender y aplicar tecnologías emergentes, desarrollar modelos de negocio inno.
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Telecom Customer Churn Prediction in Apache Spark (ML)

Dive into the world of machine learning with this comprehensive course focused on Telecom customer churn prediction. Utilizing Apache Spark along with Databricks Notebook, this project-based course guides you step by step through the prediction process, sharpening your data analytics skills. Whether new to the field or looking to specialize furt.
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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!