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Pro Machine Learning Algorithms: A Hands-On Approach to Implementing Algorithms in Python and R
Pro Machine Learning Algorithms: A Hands-On Approach to Implementing Algorithms in Python and R
Bridge the gap between a high-level understanding of how an algorithm works and knowing the nuts and bolts to tune your models better. This book will give you the confidence and skills when developing all the major machine learning models. In Pro Machine Learning Algorithms, you will first develop the algorithm in Excel so...
Scala Machine Learning Projects: Build real-world machine learning and deep learning projects with Scala
Scala Machine Learning Projects: Build real-world machine learning and deep learning projects with Scala

Powerful smart applications using deep learning algorithms to dominate numerical computing, deep learning, and functional programming.

Key Features

  • Explore machine learning techniques with prominent open source Scala libraries such as Spark ML, H2O, MXNet, Zeppelin, and DeepLearning4j
  • ...
Monetizing Machine Learning: Quickly Turn Python ML Ideas into Web Applications on the Serverless Cloud
Monetizing Machine Learning: Quickly Turn Python ML Ideas into Web Applications on the Serverless Cloud

Take your Python machine learning ideas and create serverless web applications accessible by anyone with an Internet connection. Some of the most popular serverless cloud providers are covered in this book?Amazon, Microsoft, Google, and PythonAnywhere.

You will work through a series of common Python data science problems...

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

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...

Using R for Data Analysis in Social Sciences
Using R for Data Analysis in Social Sciences
Statistical analysis is common in the social sciences, and among the more popular programs is R. This book provides a foundation for undergraduate and graduate students in the social sciences on how to use R to manage, visualize, and analyze data. The focus is on how to address substantive questions with data analysis and replicate...
Python for Data Science For Dummies (For Dummies (Computer/Tech))
Python for Data Science For Dummies (For Dummies (Computer/Tech))

The fast and easy way to learn Python programming and statistics

Python is a general-purpose programming language created in the late 1980s?and named after Monty Python?that's used by thousands of people to do things from testing microchips at Intel, to powering Instagram, to building video games with the...

Quantitative Tourism Research in Asia: Current Status and Future Directions (Perspectives on Asian Tourism)
Quantitative Tourism Research in Asia: Current Status and Future Directions (Perspectives on Asian Tourism)

The purpose of this book is twofold. First, this book is an attempt to map the state of quantitative research in Asian tourism and hospitality context and provide a detailed description of the design, implementation, application, and challenges of quantitative methods in tourism in Asia. Second, this book aims to contribute to the...

Understanding the Role of Business Analytics
Understanding the Role of Business Analytics

This book encompasses empirical evidences to understand the application of data analytical techniques in emerging contexts. Varied studies relating to manufacturing and services sectors including healthcare, banking, information technology, power, education sector etc. stresses upon the systematic approach followed in...

UNDERSTANDING STATISTICS
UNDERSTANDING STATISTICS
This is a book on the understanding of statistical concepts. If you have no knowledge, you will receive basic knowledge, without having to worry much about mathematics. And if you already know something about statistical methods, you will get a better understanding of the ideas behind them. All basic concepts are discussed in detail and...
Data Science Revealed: With Feature Engineering, Data Visualization, Pipeline Development, and Hyperparameter Tuning
Data Science Revealed: With Feature Engineering, Data Visualization, Pipeline Development, and Hyperparameter Tuning

This book introduces you to the world of data science. It reveals the proper way to do data science. It covers essential statistical and programming techniques to help you understand data science from a broad perspective. Not only that, but it provides a theoretical, technical, and mathematical foundation for problem-solving using data...

IFRS 9 and CECL Credit Risk Modelling and Validation: A Practical Guide with Examples Worked in R and SAS
IFRS 9 and CECL Credit Risk Modelling and Validation: A Practical Guide with Examples Worked in R and SAS

IFRS 9 and CECL Credit Risk Modelling and Validation covers a hot topic in risk management. Both IFRS 9 and CECL accounting standards require Banks to adopt a new perspective in assessing Expected Credit Losses. The book explores a wide range of models and corresponding validation procedures. The most traditional regression...

The Art of Siege Warfare and Military Architecture from the Classical World to the Middle Ages
The Art of Siege Warfare and Military Architecture from the Classical World to the Middle Ages
The papers in this book present, for the first time, the world of warfare, both defensive and offensive, from the Classical periods to end of the Middle Ages in one collection. These scholarships have attracted ancient writers and generals and nowadays historians, archaeologists and researchers poliorcetics. Military historiography and...
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