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Machine Learning courses

1331 Courses

California Institute of Technology Coursera

Responsible AI for Developers: Interpretability & Transparency - Italiano

Responsible AI for Developers: Interpretability & Transparency - Italiano Questo corso introduce i concetti di interpretabilità e la trasparenza dell'AI. Parla dell'importanza della trasparenza dell'AI per sviluppatori ed engineer. Illustra metodi e strumenti pratici per aiutare a raggiungere interpretabilità e trasparenza sia nei dati che nei.
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California Institute of Technology Coursera

Responsible AI for Developers: Fairness & Bias - Українська

Responsible AI for Developers: Fairness & Bias - Українська Під час цього курсу ви зможете ознайомитися з концепціями відповідального підходу й принципами щодо штучного інтелекту. Ви дізнаєтеся про практичні методи виявлення об’єктивності й упередженості в роботі ШІ та технологій машинного навчання, а також ознайомитеся зі способами мінімізувати.
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California Institute of Technology Coursera

Introduction to Large Language Models - Deutsch

Introduction to Large Language Models - Deutsch In diesem Einführungskurs im Microlearning-Format wird untersucht, was Large Language Models (LLM) sind, für welche Anwendungsfälle sie genutzt werden können und wie die LLM-Leistung durch Feinabstimmung von Prompts gesteigert werden kann. Darüber hinaus werden Tools von Google be.
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California Institute of Technology Coursera

Gemini for Data Scientists and Analysts - 日本語版

Gemini for Data Scientists and Analysts - 日本語版 このコースでは、生成 AI を活用した Google Cloud のコラボレーターである Gemini が、顧客データの分析や商品売上の予測にどのように役立つかについて学びます。また、BigQuery で顧客データを使用して、新規顧客を特定、分類、発見する方法も学習します。ハンズオンラボでは、Gemini でデータ分析と ML のワークフ.
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California Institute of Technology Coursera

Responsible AI for Developers: Fairness & Bias - 한국어

Responsible AI for Developers: Fairness & Bias - 한국어 Title: Responsible AI for Developers: Fairness & Bias - 한국어 Description: 이 과정에서는 책임감 있는 AI라는 개념과 AI 원칙을 소개합니다. 공정성과 편향을 실질적으로 식별하고 AI/ML 실무에서 편향을 완화하는 기법을 알아봅니다. Google Cloud 제품과 오픈소스 도구를 사용하여 책임감 있.
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California Institute of Technology Coursera

Responsible AI for Developers: Interpretability & Transparency - Español

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California Institute of Technology AWS Skill Builder

Amazon Q Introduction (Thai)

Amazon Q Introduction (Thai) หลักสูตรนี้ให้ภาพรวมระดับสูงของ Amazon Q ซึ่งเป็นผู้ช่วยที่ขับเคลื่อนด้วยปัญญาประดิษฐ์ (AI) ช่วยสร้าง คุณจะได้เรียนรู้เกี่ยวกับกรณีใช้งานและข้อดีของการเชื่อมโยง Amazon Q กับข้อมูล โค้ด และระบบของบริษัทของคุณ นอกจากนี้คุณยังจะพบข้อมูลเพิ่มเติมเพื่อพัฒนาเส้นทางการเรียนรู้ของคุณตามความสนใจของคุณในกรณีใช้งานเฉพาะ ทั้งผู้.
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California Institute of Technology AWS Skill Builder

AWS ML Engineer Associate Curriculum Overview (Japanese)

AWS ML Engineer Associate Curriculum のこの入門コースでは、機械学習 (ML) の基礎を復習し、ML と AI の進化について確認します。ML ライフサイクルの最初のステップとして、ビジネス目標を特定し、そのビジネス目標に基づいて ML の問題を定式化します。最後に、ML モデルの構築、トレーニング、デプロイに使用できるフルマネージド型 AWS サービスである Amazon SageMak.
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California Institute of Technology AWS Skill Builder

AWS ML Visão geral do curso de engenheiro associado (Português) | AWS ML Engineer Associate Curriculum Overview (Portuguese)

Neste curso introdutório à grade curricular de engenheiros de ML associados da AWS, você analisa os conceitos básicos de machine learning (ML) e examina a evolução do machine learning e da IA. Você explora as primeiras etapas do ciclo de vida do ML, identificando uma meta de negócios e formulando um problema de ML com base nessa meta de negócios. F.
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California Institute of Technology AWS Skill Builder

Introduction to Machine Learning: Art of the Possible (Indonesian)

Introduction to Machine Learning: Art of the Possible (Indonesian) Kursus digital ini dirancang untuk membantu para pengambil keputusan bisnis dalam memahami hal-hal mendasar dari machine learning (ML). Tingkat kursus: Dasar Durasi: 30 menit Catatan: Kursus ini memiliki transkrip/subtitle lokal. Narasi disampaikan dalam bahasa Inggris. Untuk.
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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!