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40 Algorithms Every Data Scientist Should Know.
- Format:
- Book
- Author/Creator:
- Weichenberger, Jürgen.
- Language:
- English
- Subjects (All):
- Artificial intelligence.
- Machine learning.
- Physical Description:
- 1 online resource (386 pages)
- Edition:
- 1st ed.
- Place of Publication:
- Delhi : BPB Publications, 2024.
- Summary:
- Mastering AI and ML algorithms is essential for data scientists. This book covers a wide range of techniques, from supervised and unsupervised learning to deep learning and reinforcement learning. This book is a compass to the most important algorithms that every data scientist should have at their disposal when building a new AI/ML application.
- Contents:
- Cover
- Title Page
- Copyright Page
- Dedication Page
- About the Authors
- About the Reviewer
- Acknowledgements
- Preface
- Table of Contents
- 1. Fundamentals
- Introduction
- Structure
- Objectives
- Fundamentals of AI and ML
- Defining AI and ML
- Artificial Intelligence
- Machine learning
- History of AI and ML
- Classic examples of AI and ML
- AI and ML algorithms
- Examples of AI and ML algorithms
- Structure of a typical AI and ML algorithm
- Conclusion
- Points to remember
- 2. Typical Data Structures
- Introducing data structures
- Examples of typical data structures Generated by AI.
- Notes:
- Description based on publisher supplied metadata and other sources.
- Part of the metadata in this record was created by AI, based on the text of the resource.
- ISBN:
- 9789355516947
- 9355516940
- OCLC:
- 1460466745
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