Get started with an accelerated introduction to the R ecosystem, programming language, and tools including R script and RStudio. Utilizing many examples and projects, this book teaches you how to get data into R and how to work with that data using R. Once grounded in the fundamentals, the rest of Practical R...
From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural...
Data-Driven decision making is no longer a "nice to have" in today's context but an absolute must. Unfortunately, most business users don't necessarily have the right tools and the skills to question the data and derive meaningful insights. This is where Tableau, as a data visualization tool, shines and provides an...
You can master the use of over 101 Microsoft Excel Formulas and Functions if you make the decision to purchase this book.
This guide is what should be called; a one-fit approach to understanding the basis of Excel formulas. This guide is useful especially for business owners, workers, and financial analysts who...
Are you brand new to machine learning and Python?Do you want to learn good coding techniques quickly and easily?Then Python Programming is the book for you!Python is one of the best platforms for those new to programming to begin with. The book will introduce you to the basic concepts of Machine Learning, Python programming...
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...
This research monograph is highly contextual in the present era of spatial/spatio-temporal data explosion. The overall text contains many interesting results that are worth applying in practice, while it is also a source of intriguing and motivating questions for advanced research on spatial data science.
Supercharge options analytics and hedging using the power ofPython
Derivatives Analytics with Python shows you how toimplement market-consistent valuation and hedging approaches usingadvanced financial models, efficient numerical techniques, and thepowerful capabilities of the Python programming language. Thisunique...
