Learn IT - Books tags statistical

Books tags: statistical

Mastering TensorFlow 1.x: Advanced machine learning and deep learning concepts using TensorFlow 1.x and Keras

Packt Publishing, 2018

Build, scale, and deploy deep neural network models using the star libraries in Python

Key Features

Delve into advanced machine learning and deep learning use cases using Tensorflow and Keras

Build, deploy, and scale end-to-end deep neural network models in a production...

Handbook of Software Quality Assurance

Artech House Publishers, 2007

The industry's top guide to software quality -- completely updated!

Practical techniques for mission-critical and commercial software.

Build a great software quality organization.

Prepare for ASQ Software Quality Engineer Certification.

Software quality assurance has never been more challenging -- nor more...

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...

Multiple Wiener-Itô Integrals: With Applications to Limit Theorems

Springer, 2013

The goal of this Lecture Note is to prove a new type of limit theorems for normalized sums of strongly dependent random variables that play an important role in probability theory or in statistical physics. Here non-linear functionals of stationary Gaussian fields are considered, and it is shown that the theory of Wiener–Itô...

Business and Competitive Analysis: Effective Application of New and Classic Methods

FT Press, 2007

“I believe that this book will fill a great need for both full-time competitive intelligence practitioners, and those looking to add analytical skills to their managerial tool kit.”
--Bill Fiora, Partner and Founder, Outward Insights

...

R Deep Learning Projects: Master the techniques to design and develop neural network models in R

Packt Publishing, 2018

5 real-world projects to help you master deep learning concepts

Key Features

Master the different deep learning paradigms and build real-world projects related to text generation, sentiment analysis, fraud detection, and more

Get to grips with R's impressive range of...

Statistical Methods in Analytical Chemistry (Chemical Analysis: A Series of Monographs on Analytical Chemistry and Its Applications)

John Wiley & Sons, 2000

This new edition of a successful, bestselling book continues to provide you with practical information on the use of statistical methods for solving real-world problems in complex industrial environments. Complete with examples from the chemical and pharmaceutical laboratory and manufacturing areas, this thoroughly updated book clearly...

Minitab Cookbook

Packt Publishing, 2014

With over 110 practical recipes, this is the ideal book for all statisticians who want to explore the vast capabilities of Minitab to organize data, analyze it, and visualize it with impactful graphs.

Overview

Gain an in-depth understanding of data formatting in Minitab

Understand the steps...

Statistical Analysis with R

Packt Publishing, 2010

This is a practical, step by step guide that will help you to quickly become proficient in the data analysis using R. The book is packed with clear examples, screenshots, and code to carry on your data analysis without any hurdle. If you are a data analyst, business or information technology professional, student, educator, researcher, or...

Effective Statistical Learning Methods for Actuaries II: Tree-Based Methods and Extensions (Springer Actuarial)

Springer, 2020

This book summarizes the state of the art in tree-based methods for insurance: regression trees, random forests and boosting methods. It also exhibits the tools which make it possible to assess the predictive performance of tree-based models. Actuaries need these advanced analytical tools to turn the massive data sets now at their...

Robust Statistics: Theory and Methods (Probability and Statistics)

John Wiley & Sons, 2006

Classical statistical techniques fail to cope well with deviations from a standard distribution. Robust statistical methods take into account these deviations while estimating the parameters of parametric models, thus increasing the accuracy of the inference. Research into robust methods is flourishing, with new methods being developed and...

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