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- BONUS in print edition: E-Book insideThe 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
