Practical Machine Learning
About This Book
Fully-coded working examples using a wide range of machine learning libraries and tools, including Python, R, Julia, and Spark
Comprehensive practical solutions taking you into the future of machine learning
Go a step further and integrate your machine learning projects with
The Blockchain Developer: A Practical Guide for Designing, Implementing, Publishing, Testing, and Securing Distributed Blockchain-based Projects
Become a Blockchain developer and design, build, publish, test, maintain and secure scalable decentralized Blockchain projects using Bitcoin, Ethereum, NEO, EOS and Hyperledger.
This book helps you understand Blockchain beyond development and crypto to better harness its power and capability. You will learn...
Leading in Inter-Organizational Networks: Towards a Reflexive Practice
In view of the rising importance and prevalence of network-based collaboration, this book aims to meet the need for more theory in this area. Theoretically conceptualizing and empirically describing the practice of reflexive leadership in inter-organisational networks, it explores how member organisations approach reflexive...
Conducting Network Penetration and Espionage in a Global Environment
When it’s all said and done, penetration testing remains the most effective way to identify security vulnerabilities in computer networks. Conducting Network Penetration and Espionage in a Global Environment provides detailed guidance on how to perform effective penetration testing of computer networksâusing free, open...
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