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158216718
Essential Data Analytics, Data Science, and AI: A Practical Guide for a Data-Driven World, (Paperback)
86% of respondents would recommend this to a friend
Item #:
158216718
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Product Details
- 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.Whether you're a beginner or an experienced professional, this book offers valuable insights that will expand your horizons in the world of data and AI.What you will learn: What are Synthetic data and Telemetry dataHow to analyze data using programming languages like Python and Tableau.What is feature engineeringWhat are the practical Implications of Artificial IntelligenceWho this book is for: Data analysts, scientists, and engineers seeking to enhance their skills, explore advanced concepts, and stay up-to-date with ethics. Business leaders and decision-makers across industries are interested in understanding the transformative potential and ethical implications of data analytics and AI in their organizations.
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | December, 2024 |
| Pages | 211 |
| Subgenre | Artificial Intelligence |
| Series title | No Series |
| Edition | 1 |
| Publisher | Apress |
| Original languages | English |
| Language | English |
| Edu focus | Technology |
| Is collectible | N |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 6.14 x 0.49 x 9.21 in (15.6 x 1.2 x 23.4 cm) |
| Assembled product weight | 0.73 lb (330 grams) |
| Bisac subject heading | Computers |
Product Description
Essential Data Analytics, Data Science, and AI: A Practical Guide for a Data-Driven World, (Paperback)
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Maxine Attobrah All Books Editorial Review
Essential Data Analytics, Data Science, and AI: A Practical Guide for a Data-Driven World is an insightful non-fiction book focusing on the realms of computing and internet technologies. Spanning 211 pages, this paperback edition provides a thorough introduction to data analytics, data science, and artificial intelligence tailored for readers eager to understand the impact of these technologies on a data-driven world. The book, published by Apress in January 2025, emphasizes practical applications and is written in English, making it accessible to a wide audience. With its focus on technology education, it serves as a beneficial resource for both beginners and professionals looking to expand their knowledge in artificial intelligence and data science.
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Pros
- Engaging and informative content for data enthusiasts
- Practical insights into data analytics
- Comprehensive overview of AI applications
- Ideal for both beginners and professionals
- Clear language and structured approach
Cons
- Limited availability of additional resources
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Features & Benefits
- Comprehensive guide for mastering data analytics, data science, and AI.
- Provides practical, engaging learning experiences with real-world applications.
- Includes essential topics like ETL processes, machine learning, and model deployment.
- Designed for both beginners and experienced professionals in the field.
- Focuses on ethical considerations and the transformative potential of AI.
- Equips business leaders with insights to harness data analytics and AI effectively.
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