Data Science

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.

In these eye-opening books, award-winning statistician and author Lee Baker reveals the secrets of how the statistical hustlers use numbers, stats, graphs and charts to manipulate and misrepresent for political or commercial gain – and often get away with it.

Descubre cómo aprender a ser un Data Scientist a tu propio ritmo con contenido actualizado y con ejemplos de Latinoamérica. Desde análisis de datos hasta algoritmos predicción con machine learning. Con la compra del libro accedes a las 2 versión disponibles: pdf y web y a más de 100 ejercicios incluidos.

This book is actually a cheat sheet about computing matrix algebra operations such as matrix multiplication, inversion and factorization.It is written foR (aspiring) data scientists where with "foR" (capital letter R) I mean the side of data science addicted to R and its gorgeous ecosystem especially including Rcpp, RcppArmadillo and RcppEigen.

Welcome to the first book in the Week End Series, this series helped me a lot before, and I hope it helps you now. And this book is about the techniques that you should learn to deal with data, any data scientist, and not only data scientists, but every one that faces data problems

This machine learning book series aims at providing real hands-on training from general concepts and architecture to low-level details and mathematics. The first epoch covers the simplest linear associative network, proposes a brick notation for algebraic expressions, shows required calculus derivations, and illustrates gradient descent.

In Errors of Regression Models you’ll learn how to choose the most appropriate statistics to measure the accuracy of your regression-based prediction model.Written in plain English with no technical jargon, Errors of Regression Models is perfect for beginners!Discover how to measure the accuracy of your regression models quickly and effectively.

Welcome to one of the On Weekend Series, this series helped me a lot before, and I hope it helps you now. And this book is about the techniques that you should learn to learn, understand and bulid a convolution neural network. I hope you find what you need in this book.

Need to collect terabytes of data across all aspects of your operations? Need to transform complex scientific datasets into innovative software that is deployed across the pipeline, accelerating the pace and quality of all business decisions to unbelievable levels? Having problems with performance or maintenance? If so, this book is for you!