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Data Science IT Books

Data Pipelines Pocket Reference

Data pipelines are the foundation for success in data analytics. Moving data from numerous diverse sources and transforming it to provide context is the difference between having data and actually gaining value from it. This pocket reference defines data pipelines and explains how they work in today’s modern data stack.

You’ll learn common considerations and key decision points when implementing pipelines, such as batch versus streaming data ingestion and build versus buy. This book addresses the most common decisions made by data professionals and discusses foundational concepts that apply to open source frameworks, commercial products, and homegrown solutions.

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Data Science IT Books

Data Architecture & Engineering

Data Engineering, DataOps, Data Science, Machine Learning, and AI are considered specialty occupations. On a daily basis, both engineers and data scientists in these categories, work on different frameworks and techniques to support their company’s data strategy.

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Blockchain Innovation IT Books

Proof of Stake: The Making of Ethereum and the Philosophy of Blockchains

“A crucial contribution to development of a new technology that will impact all of our lives.” –Laura Shin, host of the Unchained podcast and author of The Cryptopians: Idealism, Greed, Lies, and the Making of the First Big Cryptocurrency Craze

“Vitalik Buterin is one of the most influential creators of our generation….Like most of his work, it is sure to become a must-read.”–Camila Russo, author of The Infinite Machine, founder of The Defiant

The ideas behind Ethereum in the words of its founder, describing a radical vision for more than a digital currency—reinventing organizations, economics, and democracy itself in the age of the internet.

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Blockchain DeFi

Beyond Bitcoin: Economics of Digital Currencies and Blockchain Technologies

Over the last few years, we have witnessed an upsurge of enthusiasm about cryptocurrencies and, more generally, the so-called blockchain technology. In this new and updated edition, the authors explore what exactly these new technologies entail and promise. They argue that to understand the potential challenges and further developments in the market, one needs to develop an understanding of what needs these innovations fulfill and what business models are consistent with their use. For that, we need to sufficiently understand both the technology and how it affects the economic forces at play.

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Data Science Software Architecture

Architecture for High-Throughput Low-Latency Big Data Pipeline on Cloud

Scalable and efficient data pipelines are as important for the success of analytics, data science, and machine learning as reliable supply lines are for winning a war.

For deploying big-data analytics, data science, and machine learning (ML) applications in the real world, analytics-tuning and model-training is only around 25% of the work. Approximately 50% of the effort goes into making data ready for analytics and ML. The remaining 25% effort goes into making insights and model inferences easily consumable at scale. The big data pipeline puts it all together. It is the railroad on which heavy and marvelous wagons of ML run. Long-term success depends on getting the data pipeline right.

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Blockchain Data Science IT Books

Big Data and Blockchain for Service Operations Management

This book aims to provide the necessary background to work with big data blockchain by introducing some novel applications in service operations for both academics and interested practitioners, and to benefit society, industry, academia, and government. Presenting applications in a variety of industries, this book intends to cover theory, research, development, and applications of big data and blockchain, as embedded in the fields of mathematics, engineering, computer science, physics, economics, business, management, and life sciences, to help service operations management.

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Artificial Intelligence Innovation IT Books

AI-Powered Business Intelligence: Improving Forecasts and Decision Making with Machine Learning

Use business intelligence to power corporate growth, increase efficiency, and improve corporate decision making. With this practical book featuring hands-on examples in Power BI with basic Python and R code, you’ll explore the most relevant AI use cases for BI, including improved forecasting, automated classification, and AI-powered recommendations. And you’ll learn how to draw insights from unstructured data sources like text, document, images files.

Author Tobias Zwingmann helps BI professionals, business analysts, and data analytics understand high-impact areas of artificial intelligence. You’ll learn how to leverage popular AI-as-a-service and AutoML platforms to ship enterprise-grade proofs of concept without the help of software engineers or data scientists.

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Blockchain IT Books

Blockchain QuickStart Guide: Explore Cryptography, Cryptocurrency, Distributed Ledger, Hyperledger Fabric, Ethereum

This book is about developing a comprehensive understanding of blockchain, how it works and can benefit the functioning of the organization. This book exposes you to blockchain technology and illustrates how to leverage it to create value.

First, you should have a working grasp of cryptography, cypher modes, digital signatures, and digital certificates, all of which are thoroughly covered in the first chapter of this book. By gradually introducing you to Distributed Ledger Technology, you can start understanding blockchain. After that, you’ll become acquainted with fundamental blockchain concepts like consensus models, algorithms, and procedures. You’ll learn about blockchain platforms such as Ethereum and Hyperledger Fabric that enable the development of DApps, DeFi applications, and systems driven by blockchains. Additionally, concepts such as smart contracts, the Ethereum virtual machine, accounts, wallets, GAS, and mining are explained briefly and simplified. The book analyses current blockchain developments, various blockchain as a Service (BaaS) platforms and helps you to gain a better grasp of the technology.

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Blockchain Crypto Trading DeFi Finance Innovation

Enabling the Internet of Value: How Blockchain Connects Global Businesses

This book shows how blockchain technology can transform the Internet, connecting global businesses in disruptive ways. It offers a comprehensive and multi-faceted examination of the potential of distributed ledger technology (DLT) from a new perspective: as an enabler of the Internet of Value (IoV).   

The authors discuss applications of blockchain technology to the financial services domain, e.g. in real estate, insurance and the emerging Decentralised Finance (DeFi) movement. They also cover applications to the media and e-commerce domains.  DLT’s impacts on the circular economy, marketplace, Internet of Things (IoT) and oracle business models are also investigated. In closing, the book provides outlooks on the evolution of DLT, as well as the systemic governance and privacy risks of the IoV.  

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Data Science IT Books

Machine Learning Fundamentals: A Concise Introduction

This lucid, accessible introduction to supervised machine learning presents core concepts in a focused and logical way that is easy for beginners to follow. The author assumes basic calculus, linear algebra, probability and statistics but no prior exposure to machine learning. Coverage includes widely used traditional methods such as SVMs, boosted trees, HMMs, and LDAs, plus popular deep learning methods such as convolution neural nets, attention, transformers, and GANs. Organized in a coherent presentation framework that emphasizes the big picture, the text introduces each method clearly and concisely “from scratch” based on the fundamentals. All methods and algorithms are described by a clean and consistent style, with a minimum of unnecessary detail. Numerous case studies and concrete examples demonstrate how the methods can be applied in a variety of contexts.


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