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Basic Guide to Data Science

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Description

This book is truly based on basics of Data Science, where you will an overall idea of it through various topics related to Data Science. It is designed for students coming from Non-Tech backgrounds. Read thoroughly to get the most out of it.

Chapter 1 : ABOUT DATA SCIENCE
Chapter 2 : BIG DATA ANALYTICS
Chapter 3 : DATA ENGEERING
Chapter 4 : NATURAL LANGUAGE PROCESSING
Chapter 5 : DEEP LEARNING
Chapter 6 : TIME SERIES ANALYSIS
Chapter 7 : IMAGE PROCESSING AND COMPUTER VISION
Chapter 8 : DATA WAREHOUSING
Chapter 9 : CLOUD COMPUTING FOR DATA SCIENCE
Chapter 10 : DATA ETHICS AND PRIVACY
Chapter 11 : DATA GOVERNANCE
Chapter 12 : DATA MINING
Chapter 13 : DATA STORYTELLING
Chapter 14 : DIMENSIONALITY REDUCTION TECHNIQUES
Chapter 15 : ENSEMBLE LEARNING
Chapter 16 : HYPERPARAMETER TUNING
Chapter 17 : NEURAL NETWORKS

Chapter 18 : RECOMMENDER SYSTEM

It includes in depth information about the Data Science but the information is in the most simplest way possible, which is specially designed for students from Non-CS backgrounds like BA/BCom/BBA/BSc or any other field other than computer science.

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