This textbook on practical data analytics unites fundamental principles, algorithms, and data. Algorithms are the keystone of data analytics and the focal point of this textbook. Clear and intuitive explanat...
Introduction : What is data science? -- Statistical inference, exploratory data analysis, and the data science process -- Algorithms -- Spam filters, naive bayes, and wrangling -- Logistic regression -- Time...
If you’re looking to make a career move from programmer to AI specialist, this is the ideal place to start. Based on Laurence Moroney's extremely successful AI courses, this introductory book provi...
A walkthrough of computer science concepts you must know. Designed for readers who dont care for academic formalities, its a fast and easy computer science guide. It teaches the foundations you need to progr...
Provides an introduction of the data industry to the field of economics
This book bridges the gap between economics and data science to help data scientists understand the economic...
As deep neural networks (DNNs) become increasingly common in real-world applications, the potential to deliberately "fool" them with data that wouldn’t trick a human presents a new attack vec...
Data Visualization Made Simple is a practical guide to the fundamentals, strategies, and real-world cases for data visualization, an essential skill required in today’s information-rich world. With fou...
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