Learn IT - Books tags statistics

Python Deep Learning: Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow, 2nd Edition

Packt Publishing, 2019

Learn advanced state-of-the-art deep learning techniques and their applications using popular Python libraries

Key Features

Build a strong foundation in neural networks and deep learning with Python libraries

Explore advanced deep learning techniques and their applications...

Methodology of Longitudinal Surveys (Wiley Series in Survey Methodology)

John Wiley & Sons, 2009

Longitudinal surveys are surveys that involve collecting data from multiple subjects on multiple occasions. They are typically used for collecting data relating to social, economic, educational and health-related issues and they serve as an important tool for economists, sociologists, and other researchers.

Focusing on the design,...

Data Analysis Using SAS Enterprise Guide

Cambridge University Press, 2009

The present book, Data Analysis Using SAS Enterprise Guide, provides readers with an overview of Enterprise Guide, the newest point-and-click interface from SAS. SAS Enterprise Guide is a graphical user (point-and-click) interface to the main SAS application, having relatively recently replaced the Analyst interface, which itself had replaced...

Predictive Analytics For Dummies

For Dummies, 2014

Combine business sense, statistics, and computers in a new and intuitive way, thanks to Big Data Predictive analytics is a branch of data mining that helps predict probabilities and trends. Predictive Analytics For Dummies explores the power of predictive analytics and how you can use it to make valuable predictions for your business, or in...

Level Sets and Extrema of Random Processes and Fields

John Wiley & Sons, 2009

Level Sets and Extrema of Random Processes and Fields discusses how to understand the properties of the level sets of paths as well as how to compute the probability distribution of its extremal values, which are two general classes of problems that arise in the study of random processes and fields and in related applications. This book...

Meta-Learning in Computational Intelligence (Studies in Computational Intelligence)

Springer, 2011

In the early days of pattern recognition and statistical data analysis life was rather simple: datasets were relatively small, collected from well-designed experiments, analyzed using a few methods that had good theoretical background. Explosive growth of the use of computers led to the creation of huge amounts of data of all kinds,...

The Complete Idiot's Guide to Statistics, 2nd Edition

Alpha, 2007

Statistics, statistics everywhere, but not a single word can we understand! Actually, understanding statistics is a critically important skill that we all need to have in this day and age. Every day, we are inundated with data about politics, sports, business, the stock market, health issues, financial matters, and many other topics....

Mastering Clojure Data Analysis

Packt Publishing, 2014

Leverage the power and fl exibility of Clojure through this practical guide to data analysis

About This Book

Explore the concept of data analysis using established scientific methods combined with the powerful Clojure language

Master Naive Bayesian Classification, Benford's Law, and...

Probability and Statistics for Computer Scientists

CRC Press, 2013

Student-Friendly Coverage of Probability, Statistical Methods, Simulation, and Modeling Tools
Incorporating feedback from instructors and researchers who used the previous edition, Probability and Statistics for Computer Scientists, Second Edition helps students understand general methods of stochastic...

5 Steps to a 5 AP Statistics, 2010-2011 Edition (5 Steps to a 5 on the Advanced Placement Examinations Series)

McGraw-Hill, 2009

A Perfect Plan for the Perfect Score

We want you to succeed on your AP* exam. That's why we've created this 5-step plan to help you study more effectively, use your preparation time wisely, and get your best score. This easy-to-follow guide offers you a complete review of your AP course, strategies to give you the edge on test...

Bioinformatics: The Machine Learning Approach, Second Edition (Adaptive Computation and Machine Learning)

MIT Press, 2001

We have been very pleased, beyond our expectations, with the reception of the first edition of this book. Bioinformatics, however, continues to evolve very rapidly, hence the need for a new edition. In the past three years, fullgenome sequencing has blossomed with the completion of the sequence of the fly and the first draft of the...

Robust Statistical Procedures (CBMS-NSF Regional Conference Series in Applied Mathematics)

SIAM, 1987

When SIAM contacted me about the preparation of a second edition of this booklet, it became clear almost immediately that any attempt to rewrite the booklet would invite the danger of spoiling its purpose. The booklet had served me well as a skeleton and draft outline for my subsequent book Robust Statistics (Wiley, 1981). I...

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