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Machine Learning for Finance: Principles and practice for financial insiders
Machine Learning for Finance: Principles and practice for financial insiders

A guide to advances in machine learning for financial professionals, with working Python code

Key Features

  • Explore advances in machine learning and how to put them to work in financial industries
  • Clear explanation and expert discussion of how machine learning works, with...
Professional Office Business Application Development: Using Microsoft Office SharePoint Server 2007 and VSTO
Professional Office Business Application Development: Using Microsoft Office SharePoint Server 2007 and VSTO
Office Business Applications (OBAs) are a bit of a mystery to some; developers often find it difficult to see Office as a true development platform. Nevertheless, Office has evolved quite a bit in the past few years into a strong platform that offers a number of rich technologies. Combine this with the ability to leverage the Microsoft...
Machine Learning with R - Second Edition
Machine Learning with R - Second Edition

Key Features

  • Harness the power of R for statistical computing and data science
  • Explore, forecast, and classify data with R
  • Use R to apply common machine learning algorithms to real-world scenarios

Book Description

Machine learning, at its core, is concerned...

Personal Finance with Python: Using pandas, Requests, and Recurrent
Personal Finance with Python: Using pandas, Requests, and Recurrent
Deal with data, build up financial formulas in code from scratch, and evaluate and think about money in your day-to-day life. This book is about Python and personal finance and how you can effectively mix the two together. 

In Personal Finance with Python you will learn Python and finance at...
Beginning Excel What-If Data Analysis Tools: Getting Started with Goal Seek, Data Tables, Scenarios, and Solver
Beginning Excel What-If Data Analysis Tools: Getting Started with Goal Seek, Data Tables, Scenarios, and Solver
Excel’s “what-if” data analysis tools let you experiment with your data to project future results. In turn, these predictions will lead to better decision making and unlock the mystery of many business analysis scenarios. For example, what-if data analysis tools will enable you to forecast how lowering the price per...
Mobile Satellite Communications: Principles and Trends
Mobile Satellite Communications: Principles and Trends

Demand for Mobile Satellite Service (MSS) is on the increase, with a huge surge of interest in mobile communications in recent years and high-paced advancements in the supporting system architectures, devices and applications. This thoroughly revised and updated book provides a comprehensive guide to the MSS technologies and emerging trends....

Threat Forecasting: Leveraging Big Data for Predictive Analysis
Threat Forecasting: Leveraging Big Data for Predictive Analysis

Drawing upon years of practical experience and using numerous examples and illustrative case studies, Threat Forecasting: Leveraging Big Data for Predictive Analysis discusses important topics, including the danger of using historic data as the basis for predicting future breaches, how to use security intelligence as a tool to develop...

Security 2020: Reduce Security Risks This Decade
Security 2020: Reduce Security Risks This Decade

Identify real security risks and skip the hype

After years of focusing on IT security, we find that hackers are as active and effective as ever. This book gives application developers, networking and security professionals, those that create standards, and CIOs a straightforward look at the reality of today’s IT...

Flexible Shift Planning in the Service Industry: The Case of Physicians in Hospitals
Flexible Shift Planning in the Service Industry: The Case of Physicians in Hospitals

The book presents new ideas to model and solve the flexible shift planning problem of personnel workers in the service industry. First, a new modeling approach is proposed that requires shifts to be generated implicitly rather than employing a predefined set of shift types like three 8-hour or two 12-hour shifts to cover varying forecast demand....

Practical Data Analysis
Practical Data Analysis

Transform, model, and visualize your data through hands-on projects, developed in open source tools

Overview

  • Explore how to analyze your data in various innovative ways and turn them into insight
  • Learn to use the D3.js visualization tool for exploratory data analysis
  • ...
Data Scientists at Work
Data Scientists at Work

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...

Factor Separation in the Atmosphere: Applications and Future Prospects
Factor Separation in the Atmosphere: Applications and Future Prospects

Modeling atmospheric processes in order to forecast the weather or future climate change is an extremely complex and computationally intensive undertaking. One of the main difficulties is that there are a huge number of factors that need to be taken into account, some of which are still poorly understood. The Factor Separation (FS) method is...

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