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Essential Data Analytics, Data Science, and AI: A Practical Guide for a Data-Driven World

Essential Data Analytics, Data Science, and AI: A Practical Guide for a Data-Driven World

Paperback

DatabasesGeneral ComputersProbability & Statistics

Publisher Price: $54.99

ISBN13: 9798868810695
Publisher: Apress
Published: Dec 19 2024
Pages: 211
Weight: 0.73
Height: 0.49 Width: 6.14 Depth: 9.21
Language: English

In today's world, understanding data analytics, data science, and artificial intelligence is not just an advantage but a necessity. This book is your thorough guide to learning these innovative fields, designed to make the learning practical and engaging.


The book starts by introducing data analytics, data science, and artificial intelligence. It illustrates real-world applications, and, it addresses the ethical considerations tied to AI. It also explores ways to gain data for practice and real-world scenarios, including the concept of synthetic data. Next, it uncovers Extract, Transform, Load (ETL) processes and explains how to implement them using Python. Further, it covers artificial intelligence and the pivotal role played by machine learning models. It explains feature engineering, the distinction between algorithms and models, and how to harness their power to make predictions. Moving forward, it discusses how to assess machine learning models after their creation, with insights into various evaluation techniques. It emphasizes the crucial aspects of model deployment, including the pros and cons of on-device versus cloud-based solutions. It concludes with real-world examples and encourages embracing AI while dispelling fears, and fostering an appreciation for the transformative potential of these technologies.

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General Computers