Description
The Present book takes a student from “unknown to known” and ” simple to complex” principles of Data Science. This book is user-friendly, thought provoking and stimulating. It helps in clearing the cobwebs of the mind and the subject. The style used is lucid and un-adulterated. What stands out is the stark simplicity with which the ideas have been portrayed.
A good book should teach the customary and effective ways to structure your code in such a way that data engineering is not havoc.
Python is an object-oriented programming language that is used in this book . The book is divided in to 4 Units:-
Unit-1 has 15 chapters on Artificial Intelligence.
Unit-2 has 7 chapters that explain Machine Learning and IOT.
Unit-3 has 10 chapters each focusing on DEEP Learning.
Unit-4 has 1 chapter that explain Data Sciences.
Table of Contents
Unit-I : Artificial Intelligence
1- Introduction to AI
2- Intelligent Agents
3- AI Approaches
4- Uninformed Search Strategies
5- Informed Search
6- Games Solving
7- Constraint Satisfaction Problems
8- Knowledge Representation
9- AI Retrospectives
10-Representation Knowledge
11- Planning & Learning
12-Uncertain Knowledge & Reasoning
13- NLP
14- Expert Systems
15- ANNS
Unit-II:- Machine Learning
1- Introduction to ML
2- Types of Learning
3- Classification Families
4- Learning Algorithms
5- Unsupervised Learning and their Algorithms
6- Reinforcement Learning and Control
7- loT and ML
UNIT-lll :- Deep Learning
1- The Neural Network (DL)
2- Machine Learning Retrospective
3-Deep feed forward Networks
4- Deep Learning Optimization
5- CNNs
6- Sequence Analysis
7- Practical Deep Learning
8- Applications of Deep Learning
9- Deep Learning Survey
Roses are Red, Violets are Blue, Deep Learning Can Recognize Objects for you.
UIT lV: Data Science
1. Data Science
Glossary
Model Question Papers
References
Author
Rajiv Chopra
Dr. Rajiv Chopra has a Doctorate in Computer Science from Banasthali VidyaPith University. The author is M. Tech. in Information Technology from GGSIPU, Delhi. He did BE (CSE) from SDM College of Engg. and Technology, Dharwad and MIT from MAHE. He is working as an Associate Professor in CSE Department at Guru Tegh Bahadur Institute of Information Technology, GGSIPU Delhi. As an educator he has contributed to 21 research publications in Refereed, cited International Conferences and International Journals and attended 21 conferences, workshops, FDPs and seminars. He is a prolific author with 26 Text and Reference books to his credit,for B. Tech. (CSE/IT), M. Tech. (CSE/IT), BCA, MCA and other courses of different Universities of India.
amazon user –
excellent all-in-one guide, must buy, for data science