Learn IT - Books tags predictive

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...

Python: Beginner's Guide to Artificial Intelligence: Build applications to intelligently interact with the world around you using Python

Packt Publishing, 2018

Develop real-world applications powered by the latest advances in intelligent systems

Key Features

Gain real-world contextualization using deep learning problems concerning research and application

Get to know the best practices to improve and optimize your machine...

Computer Models in Biomechanics: From Nano to Macro

Springer, 2012

This book contains a collection of papers that were presented at the IUTAM Symposium

on “Computer Models in Biomechanics: From Nano to Macro” held at Stanford University, California, USA, from August 29 to September 2, 2011.

It contains state-of-the-art papers on:

- Protein and Cell...

Big Data in Practice: How 45 Successful Companies Used Big Data Analytics to Deliver Extraordinary Results

John Wiley & Sons, 2016

The best-selling author of Big Data is back, this time with a unique and in-depth insight into how specific companies use big data.

Big data is on the tip of everyone's tongue. Everyone understands its power and importance, but many fail to grasp the actionable steps and resources required to utilise it effectively. This...

Predictive Analytics with Microsoft Azure Machine Learning: Build and Deploy Actionable Solutions in Minutes

Apress, 2014

Data Science and Machine Learning are in high demand, as customers are increasingly looking for ways to glean insights from all their data. More customers now realize that Business Intelligence is not enough as the volume, speed and complexity of data now defy traditional analytics tools. While Business Intelligence addresses descriptive and...

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...

Data Scientists at Work

Apress, 2014

Data Scientists at Work is a collection of interviews with sixteen of the world's most influential and innovative data scientists from across the spectrum of this hot new profession. "Data scientist is the sexiest job in the 21st century," according to the Harvard Business Review. By 2018, the United States will...

Developing Analytic Talent: Becoming a Data Scientist

John Wiley & Sons, 2014

Learn what it takes to succeed in the the most in-demand tech job

Harvard Business Review calls it the sexiest tech job of the 21st century. Data scientists are in demand, and this unique book shows you exactly what employers want and the skill set that separates the quality data scientist from other talented IT...

Applying Design for Six Sigma to Software and Hardware Systems

Prentice Hall, 2009

The Practical, Example-Rich Guide to Building Better Systems, Software, and Hardware with DFSS

Design for Six Sigma (DFSS) offers engineers powerful opportunities to develop more successful systems, software, hardware, and processes. In Applying Design for Six Sigma to Software and Hardware Systems, two...

Animal Models of T Cell-Mediated Skin Diseases (Ernst Schering Foundation Symposium Proceedings)

Springer, 2004

Pharmaceutical companies are spending increasing amounts of money on drug discovery and development. Nevertheless, attrition rates in clinical development are still very high, and up to 90% of new compounds fail in clinical phase I - III trials, which is partially due to lack of clinical efficacy. This indicates a strong need for highly...

Big Data Analytics with SAS: Get actionable insights from your Big Data using the power of SAS

Packt Publishing, 2017

Leverage the capabilities of SAS to process and analyze Big Data

About This Book

Combine SAS with platforms such as Hadoop, SAP HANA, and Cloud Foundry-based platforms for effecient Big Data analytics

Learn how to use the web browser-based SAS Studio and iPython Jupyter Notebook...

Data Mining Using SAS Enterprise Miner (Wiley Series in Computational Statistics)

John Wiley & Sons, 2007

Data Mining Using SAS Enterprise Miner introduces the readers to data mining using SAS Enterprise Miner v4. This book will reveal the power and ease of use of the powerful new module in SAS that will introduce the readers to the various configuration settings and subsequent results that are generated from the various nodes in Enterprise Miner that...

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