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Machine Learning courses

1335 Courses

California Institute of Technology AWS Skill Builder

Amazon Q Introduction (Japanese)

Amazon Q Introduction (Japanese) *このコースは機械翻訳で対応されています。 このコースでは、生成人工知能 (AI) 搭載アシスタントである Amazon Q の概要を説明します。Amazon Q を会社の情報、コード、システムにリンクすることのユースケースと利点について学びます。また、特定のユースケースへの関心に基づいて、学習を進めるための追加情報も記載されています。技術.
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California Institute of Technology AWS Skill Builder

Amazon Q Introduction (Korean)

이 과정에서는 생성형 인공 지능(AI) 기반 어시스턴트인 Amazon Q에 대해 개략적으로 설명합니다. Amazon Q를 회사 정보, 코드 및 시스템에 연결할 때의 사용 사례와 이점에 대해 알아봅니다. 또한 특정 사용 사례에 대한 관심을 기반으로 학습 여정을 발전시킬 수 있는 추가 정보도 찾을 수 있습니다. 기술 학습자와 비기술 학습자 모두 어떻게 Amazon Q가 안전한 방식으로 생.
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California Institute of Technology AWS Skill Builder

Developing Machine Learning Solutions (Korean)

Developing Machine Learning Solutions (Korean) 이 기계 학습 과정에서는 기계 학습 수명 주기와 모든 단계에서 AWS 서비스를 사용하는 방법을 알아봅니다. 또한 기계 학습 모델에 대한 다양한 소스를 검색하고 해당 모델의 성능을 평가하는 기법도 알아봅니다. 기계 학습 프로젝트의 개발 및 배포를 간소화하는 데 있어 기계 학습 운영(MLOps)의 중요성도 이해합니다..
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California Institute of Technology AWS Skill Builder

Machine Learning Essentials for Business and Technical Decision Makers (Japanese)

Machine Learning Essentials for Business and Technical Decision Makers (Japanese) 3つのコースからなるこのカリキュラムでは、機械学習 (ML) のためのベストプラクティスと推奨事項について学習します。このコースでは、ビジネスプロセスへのMLの統合に向けたロードマップの作成方法を見ていきます。また、MLがビジネス上の問題への適切な解決策であるかどうかを判断する.
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California Institute of Technology AWS Skill Builder

Machine Learning Terminology and Process (Japanese)

Machine Learning Terminology and Process (Japanese) このコースでは、基本的な機械学習の概念とデータを処理する機械プロセスを紹介します。 機械学習プロセスの各ステップを詳細に調べて、機械学習プロジェクトのフェーズで発生する一般的な用語とテクニックについて説明します。 コースの目標 このコースの学習内容は、以下の通りです。 機械学習プロセスについて説.
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California Institute of Technology AWS Skill Builder

AWS Foundations: How Amazon SageMaker Can Help (Japanese)

AWS Foundations: How Amazon SageMaker Can Help (Japanese) Amazon SageMaker により、機械学習のパイプライン実装における主な課題がどのように解消されるのかを学習します。このコースでは、SageMaker ノートブックとインスタンスが機械学習ワークローの強化をサポートする方法を学び、Amazon SageMaker の主な機能を復習します。 コースレベル: 基礎 実施形式: デジタル.
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California Institute of Technology AWS Skill Builder

Cloud for CTOs (Japanese)

Cloud for CTOs (Japanese) このコースでは、クラウドコンピューティングテクノロジーの概要を説明します。Chief Technology Officer (CTO) が、組織をお客様のニーズに合わせていくためにどのようにクラウドを使用できるのかを学びます。また、スケーラブルでコスト効率がよく利用しやすいテクノロジーソリューションを通じて、高度なユーザーエクスペリエンスを提供する方法.
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California Institute of Technology AWS Skill Builder

AWS Foundations: Machine Learning Basics (Japanese)

AWS Foundations: Machine Learning Basics (Japanese) Explore the basics of AWS cloud infrastructure with a focus on machine learning, delivered in Japanese. This comprehensive course offered by AWS Skill Builder covers essential topics across various machine learning disciplines, including supervised and unsupervised learning, deep learning, rei.
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California Institute of Technology AWS Skill Builder

Amazon Q Introduction (Indonesian)

Amazon Q Introduction (Indonesian) Kursus ini memberikan gambaran umum tingkat tinggi tentang Amazon Q, asisten yang didukung kecerdasan buatan (AI) generatif. Anda akan mempelajari kasus penggunaan dan manfaat menghubungkan Amazon Q ke informasi, kode, dan sistem perusahaan Anda. Anda juga akan menemukan informasi tambahan untuk melanjutkan perj.
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California Institute of Technology AWS Skill Builder

Cloud for CTOs (Japanese) 日本語吹き替え版

Cloud for CTOs (Japanese) 日本語吹き替え版 このコースでは、クラウドコンピューティングテクノロジーの概要を説明します。Chief Technology Officer (CTO) が、組織をお客様のニーズに合わせていくためにどのようにクラウドを使用できるのかを学びます。また、スケーラブルでコスト効率がよく利用しやすいテクノロジーソリューションを通じて、高度なユーザーエクスペリエ.
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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!