Data Science

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

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 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.

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.

Estrategia de datos empresarial es una guía práctica sobre cómo evaluar, construir y mantener capacidades de analítica avanzada y ciencia de datos en cualquier tipo de compañía, de forma tal que los datos se integren de una forma sostenible a la cadena de valor independiente del core del negocio.

This book takes you on an exclusive tour of Data Science, discover the workflow successful data scientists are following and download 26 datasets to start your journey right away after following the 3 data visuzalization projects on the book.

Learning a language is easy. However, learning to write a language and writing a language in an optimized way are two different things.

Making money and getting verified to protecting your privacy, the Social Media Analysis shows business owners how Facebook, Instagram, Youtube, Twitter, Pinterest, and Snapchat, can become money-making tools to scale business growth and online profits. just how to make the most out of their marketing efforts and how to stand out as influencers

From mobile phones to the Internet, our lives depend increasingly on distributed systems linking computers and other devices together in a seamless and transparent way. This edition provides a comprehensive source of material on the principles and practice of distributed computer systems.

In Multivariate Analysis – The Simplest Guide in the Universe, guides you through the building blocks of multivariate analysis towards discovering the relationships within your data.Here, you’ll discover the most used multivariate analysis tests – and learn how to choose them correctly.