All current Data Science Courses courses in 2024
1127 קורסים
Introduction to Machine Learning: Art of the Possible
Introduction to Machine Learning: Art of the Possible
The Introduction to Machine Learning: Art of the Possible course provides best practices and recommendations for machine learning (ML) competency and a roadmap for integrating ML into your business processes. This course focuses on business leaders and other decision makers currentl.
Future Proofing Your Data Science Career
Future Proofing Your Data Science Career
Get ahead in your field by understanding the future trends in data science with our comprehensive course, Future Proofing Your Data Science Career. This course, provided by LinkedIn Learning, offers valuable insights into the evolving landscape of data science and the critical skills required to thrive..
Getting Started with Data Science
Getting Started with Data Science
In 2012, Harvard Business Review named data science the "sexiest job of the 21st century." Why are data scientists in such demand these days? The answer is that over the past decade, there has been an explosion in the data generated and retained by companies, and they need to leverage and exploit it. Data scientis.
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..
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.
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.
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.
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.
AWS Foundations: Machine Learning Basics (Japanese) 日本語実写版
AWS Foundations: Machine Learning Basics (Japanese) 日本語実写版
Understand the basics of AWS cloud infrastructure through this comprehensive course in Japanese.
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.
Responsible AI for Developers: Interpretability & Transparency - 繁體中文
Responsible AI for Developers: Interpretability & Transparency - 繁體中文 | Coursera
本課程旨在說明 AI 的可解釋性和透明度概念、探討 AI 透明度對開發人員和工程師的重要性。課程中也會介紹實務方法和工具,有助於讓資料和 AI 模型透明且可解釋。
University: Provider: Coursera
Categories:
Artificial Intelligence Courses,
Machine Learning Courses,
Data S.
Learning Data Science: Using Agile Methodology
Unlock valuable insights in data science every two weeks by mastering Agile methodology. In this course, you will learn to navigate the data science life cycle (DSLC) efficiently, employing fundamental tools like question boards to systematically break down your tasks.
Offered by LinkedIn Learning, this comprehensive program spans diverse cate.