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Machine Learning courses

1770 Courses

California Institute of Technology Coursera

Work with Gemini Models in BigQuery - 한국어

Work with Gemini Models in BigQuery - 한국어 이 과정은 BigQuery에서 생성형 AI 작업에 AI/ML 모델을 사용하는 방법을 보여줍니다. 고객 관계 관리와 관련된 실제 사용 사례를 통해 Gemini 모델로 비즈니스 문제를 해결하는 워크플로를 설명합니다. 이해를 돕기 위해 SQL 쿼리와 Python 노트북을 사용하는 코딩 솔루션을 단계별로 안내합니다. 제공자: Coursera 카테고.
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California Institute of Technology AWS Skill Builder

Digital Classroom - Authoring Visual Analytics Using Amazon QuickSight (French)

Digital Classroom - Authoring Visual Analytics Using Amazon QuickSight (French) Dans ce cours, vous utiliserez Amazon QuickSight pour créer une solution de visualisation des données. Ce cours se concentre sur la connexion à des sources de données, la création de visuels, la conception de l'interactivité et la création de calculs. Découvrez comment.
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California Institute of Technology AWS Skill Builder

Optimización de modelos fundacionales (Español LATAM) | Optimizing Foundation Models (LATAM Spanish)

Optimización de modelos fundacionales (Español LATAM) | Optimizing Foundation Models (LATAM Spanish) En este curso, explorará dos técnicas para mejorar el rendimiento de un modelo fundacional (Foundation Model, FM): la generación mejorada por recuperación (Retrieval Augmented Generation, RAG) y el ajuste preciso. Aprenderá sobre los servicios de A.
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California Institute of Technology AWS Skill Builder

Fundamentos de la ingeniería de peticiones (Español LATAM) | Essentials of Prompt Engineering (LATAM Spanish)

Fundamentos de la ingeniería de peticiones (Español LATAM) | Essentials of Prompt Engineering (LATAM Spanish) En este curso, conocerá los fundamentos de la elaboración de peticiones eficaces. Comprenderá cómo refinar y optimizar las peticiones para una variedad de casos prácticos. También explorará técnicas como las peticiones sin entrenamiento pr.
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California Institute of Technology AWS Skill Builder

AWS Flash – AWS AI/ML Essentials (Simplified Chinese) (中文讲师定制版)

AWS Flash – AWS AI/ML Essentials (Simplified Chinese) (中文讲师定制版) 本课程面向需要参加 Amazon Web Services Certified AI Practitioner (AIF-C01) 认证考试的技术人员，通过此课程的学习了解认证考试的流程，注意事项，有助于学员加强对认证考试范围内的知识点的理解与掌握，同时借助于对样题的分析和讲解，更好地了解与熟悉认证考试的难度系数和考试形式。 级别：.
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California Institute of Technology AWS Skill Builder

Developing Machine Learning Solutions (Indonesian)

Developing Machine Learning Solutions (Indonesian) Dalam kursus machine learning ini, Anda akan mempelajari tentang siklus hidup machine learning, dan cara menggunakan layanan AWS di setiap tahap. Selain itu, Anda akan menemukan beragam sumber untuk model machine learning dan mempelajari teknik untuk mengevaluasi kinerjanya. Anda juga akan memah.
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California Institute of Technology AWS Skill Builder

Essentials of Prompt Engineering (Thai)

Essentials of Prompt Engineering (Thai) ในหลักสูตรนี้ คุณจะได้รู้จักกับพื้นฐานของการสร้างการโต้ตอบที่มีประสิทธิภาพ คุณจะได้รับความเข้าใจเกี่ยวกับวิธีการปรับแต่งและเพิ่มประสิทธิภาพการโต้ตอบสำหรับกรณีใช้งานที่หลากหลาย นอกจากนี้ คุณยังจะได้สำรวจเทคนิคต่าง ๆ เช่น การใช้การโต้ตอบแบบ Zero-Shot, Few-Shot และ Chain-of-Thought สุดท้าย คุณจะได้เรียนรู้การระ.
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California Institute of Technology AWS Skill Builder

Fundamentals of Machine Learning and Artificial Intelligence (Indonesian)

Fundamentals of Machine Learning and Artificial Intelligence (Indonesian) 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 mendapat.
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California Institute of Technology AWS Skill Builder

Prácticas de IA responsable (Español LATAM) | Responsible Artificial Intelligence Practices (LATAM Spanish)

En este curso, aprenderá sobre las prácticas de la IA responsable. En primer lugar, tendrá acceso a una introducción en la que se explicará qué es la IA responsable. Aprenderá a definir la IA responsable, comprenderá los desafíos que la IA responsable intenta superar y explorará las dimensiones fundamentales de la IA responsable. Luego, profun.
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California Institute of Technology Coursera

Recommender Systems with Machine Learning

Recommender Systems with Machine Learning This course starts with the theoretical concepts and fundamental knowledge of recommender systems, covering essential taxonomies. You'll learn to use Python to evaluate datasets based on user ratings, choices, genres, and release years. Practical approaches will help you bui.
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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!