Books

Hands-on and written in jupyter notebook....feel the heat!

Fossils of pre-historic creatures in South-East Asia had recently been an interest as they answer the pre-historic existence and possibility of many more to the already established scientific understandings.

Recently, convolutional neural networks have surpassed humans in different tasks such as classification of natural objects and classification of traffic signs. After their great success, convolutional neural networks have become the first choice for learning features from training data.

A comical and dark exploration into the life and mind of Cooper, an intelligent yet quirky individual who has the tendency of accidentally getting involved with things, people and places that, conventionally would be considered detrimental.

This is a short manual to understand the 4th Industrial Revolution Technologies in very easy & understandable language.

Learn how to leverage the power of machine learning and deep learning to analyze behavioral patterns from sensors data and electronic records. This book shows you how to explore, preprocess, encode, and visualize your data. Learn introductory machine learning concepts and how to train supervised and unsupervised models using R.

IF your data isn't contextual, connected, complete & controllable; you don't control your data, your talent, and the impact they can make; you don't know how to use data to manage the cycle of innovation in a global market; you're not in the Sweet Spot where this comes together in harmony... This is the book you didn't even know you needed

Tips and tricks for using d3.js (version 6), one of the leading data visualization tools for the web. It's aimed at getting you started and moving you forward. You can download for FREE or donate to encourage further development if you wish :-).

Hiring Data Scientists and Machine Learning Engineers is a concise, practical guide to help you hire the right people for your organization. The book will help you navigate the plethora of data science related roles and skills and help you create an effective hiring strategy to suit your organization's needs.

This book takes you step by step through the process of preparing the data and producing multivariate analysis on it with R.

This book takes you step by step through the process of preparing the data and producing multivariate analysis on it with Python.

Is There a Six-Figure Freelance Developer in You?Leaving the Rat Race with Python shows you how to nurture, grow, and harness your work-from-home coding business online --- and live the good life!It's an insider's guide to freelance developing. Start your new thriving coding business now!

This series will introduce you to the Python programming language. It’s aimed at beginning programmers, but even if you’ve written programs before and just want to add Python to your list of languages, Introducing Python will get you started.

Introduction to Statistics for the Life and Biomedical Sciences is the 4th official OpenIntro book and has been written to be used in conjunction with a set of self-paced learning labs. These labs guide students through learning how to apply statistical ideas and concepts discussed in the text with the R computing language.

This reference volume consists of revised, edited, cross-referenced, and thematically organized articles from Software Diagnostics Institute and Software Diagnostics Library (former Crash Dump Analysis blog) written in October 2008 - June 2009. This major revision contains corrections and WinDbg output color highlighting.