The purpose of this book is first to study cloud computing concepts, security concern in clouds and data centers, live migration and its importance for cloud computing, the role of firewalls in domains with particular focus on virtual machine (VM) migration and its security concerns. The book then tackles design, implementation of...

• This easy-to-follow guide takes you through every step of the data wrangling process in the best possible way
• Work with different types of datasets, and reshape the layout of your data to make it easier for analysis
• Get simple examples and real-life data...

Internet of Things and Data Analytics Handbook describes essential technical knowledge, building blocks, processes, design principles, implementation, and marketing...

• This book provides modern recipes in small steps to help an apprentice cook become a master chef in data science
• Use these recipes to obtain, clean, analyze, and learn from your data
• Learn how to get your data science applications to production and enterprise...

Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data....

This practical guide provides nearly 200 self-contained recipes to help you solve machine learning challenges you may encounter in your daily work. If you’re comfortable with Python and its libraries, including pandas and scikit-learn, you’ll be able to address specific problems such as loading data, handling text or...