Data Science

You will study CT and X-ray scans, segment images, and analyze metadata. Even if you have not used with medical imaging before, you will have all the necessary skills upon completion of the book.

Table of Contents:Statistics and probability- DistributionSupervised machine learning- Binary classification- Regression- Singular Value Decomposition (SVD)- Logistic RegressionGradient DescentLoss measureData Science Interview QuestionsUsefull links and preparation repository

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 February 2010 - October 2010. This major revision contains corrections and WinDbg output color highlighting.

Este e-book vai te introduzir rapidamente às técnicas para encontrar fontes de dados e transformá-las em matérias jornalísticas através de um 'Roubo do Jornalismo de Dados'.

El complemento imprescindible del manual Fundamentos de R.

Este manual está dedicado íntegramente a los fundamentos de R y sólo a ellos. Se espera así complementar la formación de los científicos de datos, que disponen de cientos de manuales sobre análisis de datos con R pero apenas cuentan con manuales, completos, que fundamenten en detalle la herramienta a utilizar.

DataViz: How to Choose the Right Chart for Your Data is a short guide to all the different types of charts you’ll commonly encounter in statistics.It is a snappy little non-threatening book about everything you ever wanted to know about the craft of creating inspirational graphics for your study – irrespective of your audience.

Python is a rich and powerful language, but many data scientists merely scratch the surface, and often feel uncertain about what lies beneath.  This book will go deep into the heart of Python, to truly understand its components, and how we can stitch them together to build better scientific workflows and machine learning systems.

Tips and tricks for using d3.js (version 7), 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 :-).

Completely hands-on so that you can start the real work!

The book is intended to get you acquainted with the world of Supervised Machine Learning and does not assume previous knowledge of the field. The commonly leveraged Linear Regression technique used to provide predictions that are continuous in nature is detailed in the book. SAMPLE CODE INCLUDED!

Are all problems worth solving? The following white paper is going to challenge you to answer that question for yourself. In order to do this you'll follow the ADDIE process combined with cognitive Learning Outcomes. Understanding this method will allow you to flip your perspective and measure cognitive development more effectively.

You will learn that NumPy has very efficient arrays that are easy to use due to the powerful indexing mechanism. This book describes some of the more advanced and tricky indexing techniques.Also we will try to make an attempt to document the most essential methods that every user should know. NumPy has many methods to even mention in this book!

This 15x PDF collection is a compilation of the best cheat sheets created for my free Finxter Email Academy that teaches Python in byte-sized video and cheat sheet lessons.

Learn to use Python and Jupyter Notebooks by exploring fun, real-world data projects