The Handbook of Data Science and AI: Generate Value from Data with Machine Learning and Data Analytics
$36.39
Description
Book Synopsis: Data Science, Big Data, and Artificial Intelligence are currently some of the most talked-about concepts in industry, government, and society, and yet also the most misunderstood. This book will clarify these concepts and provide you with practical knowledge to apply them. Featuring:
- A comprehensive overview of the various fields of application of data science
- Case studies from practice to make the described concepts tangible
- Practical examples to help you carry out simple data analysis projects
The book approaches the topic of data science from several sides. Crucially, it will show you how to build data platforms and apply data science tools and methods. Along the way, it will help you understand - and explain to various stakeholders - how to generate value from these techniques, such as applying data science to help organizations make faster decisions, reduce costs, and open up new markets. Furthermore, it will bring fundamental concepts related to data science to life, including statistics, mathematics, and legal considerations. Finally, the book outlines practical case studies that illustrate how knowledge generated from data is changing various industries over the long term.
Contains these current issues:
- Mathematics basics: Mathematics for Machine Learning to help you understand and utilize various ML algorithms.
- Machine Learning: From statistical to neural and from Transformers and GPT-3 to AutoML, we introduce common frameworks for applying ML in practice
- Natural Language Processing: Tools and techniques for gaining insights from text data and developing language technologies
- Computer vision: How can we gain insights from images and videos with data science?
- Modeling and Simulation: Model the behavior of complex systems, such as the spread of COVID-19, and do a What-If analysis covering different scenarios.
- ML and AI in production: How to turn experimentation into a working data science product?
- Presenting your results: Essential presentation techniques for data scientists
Read more
Details
The Handbook of Data Science and AI is the ultimate guide for anyone looking to harness the power of data and AI to generate value. In today's fast-paced world, data is the key to success, and this book will provide you with the practical knowledge and tools you need to unlock its full potential. Whether you're a business owner, a data scientist, or simply interested in the field, this book will demystify the concepts of Data Science, Big Data, and Artificial Intelligence, making them accessible to all.
With comprehensive overviews and practical examples, you'll learn how to apply data science to real-world situations. From building data platforms to using data science tools and methods, this book covers it all. You'll discover how to leverage these techniques to make faster decisions, reduce costs, and open up new markets for your organization. Plus, you'll gain a solid understanding of the fundamental concepts, such as statistics, mathematics, and legal considerations.
One of the most exciting aspects of this book is the inclusion of case studies that illustrate how knowledge generated from data is revolutionizing various industries. Whether it's modeling and simulating the behavior of complex systems or utilizing natural language processing and computer vision to gain insights from text and images, you'll see firsthand how data science is changing the game.
If you're ready to unlock the power of data and AI and take your business or career to the next level, then The Handbook of Data Science and AI is a must-have resource. Don't miss out on this opportunity to gain practical knowledge, demystify complex concepts, and become a driving force in the world of data science and AI.
Click here to get your copy of The Handbook of Data Science and AI today and start generating value from data like never before.
Discover More Best Sellers in Databases & Big Data
Shop Databases & Big Data
SQL in 10 Minutes a Day, Sams Teach Yourself
Databases & Big Data - SQL in 10 Minutes a Day, Sams Teach Yourself
Shelly Cashman Series Microsoft Office 365 & Access 2016: Introductory
Databases & Big Data - Shelly Cashman Series Microsoft Office 365 & Access 2016: Introductory
Databases & Big Data - Semantic Web for the Working Ontologist: Effective Modeling for Linked Data, RDFS, and OWL (ACM Books)
Oracle PL/SQL Language Pocket Reference: A Guide to Oracle's PL/SQL Language Fundamentals
Databases & Big Data - Oracle PL/SQL Language Pocket Reference: A Guide to Oracle's PL/SQL Language Fundamentals
Practical SQL: A Beginner's Guide to Storytelling with Data
Databases & Big Data - Practical SQL: A Beginner's Guide to Storytelling with Data
Databases & Big Data - Pandas 1.x Cookbook: Practical recipes for scientific computing, time series analysis, and exploratory data analysis using Python, 2nd Edition
Databases & Big Data - Data Science for Beginners: An Introduction to the Fundamentals of Data Analysis and Machine Learning



![Databases & Big Data - Microsoft Access Guide to Success: From Fundamentals to Mastery in Crafting Databases, Optimizing Tasks, and Making Unparalleled Impressions [II EDITION] (Career Office Elevator)](https://images-na.ssl-images-amazon.com/images/I/61raxSEPLjL._AC_SL1500_.jpg)