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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 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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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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IT Books

Monolith vs Microservices : pourquoi les entreprises font des allers-retours?

Les microservices ne sont plus une tendance, mais une architecture de pointe. En tant que l’un des premiers à adopter l’architecture, nous l’avons observée passer d’une tendance émergente à une approche de pointe dans le développement de logiciels. La liste des entreprises qui ont adopté les microservices s’allonge chaque année – Uber , Netflix , Payoneer sont parmi les plus importantes. 

Pour autant, cela signifie-t-il qu’une approche monolithique n’est plus pertinente ? Définitivement non. C’est une architecture de développement par défaut, intuitive et facile à conceptualiser. Bien qu’on ne pense plus qu’elle convienne à tous les projets, l’architecture monolithique reste le meilleur choix pour de nombreux concepts.

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IT Books

COMPREHENSIVE GUIDE TO INTERVIEWS FOR DATA SCIENCE : SQL

We’ve curated this series of interview guides to accelerate your learning and your mastery of data science skills and tools.
From job-specific technical questions to tricky behavioral inquires and unexpected brainteasers and guesstimates, we will prepare you for any job candidacy in the fields of data science, data analytics, or BI analytics.

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Agile Development IT Books Software Architecture

DEVOPS ROADMAP 2022

𝗗𝗲𝘃𝗢𝗽𝘀 𝗥𝗼𝗮𝗱𝗺𝗮𝗽 𝟮𝟬𝟮𝟮𝟮. Il s’agit d’une feuille de route de la façon dont un professionnel DevOps devrait apprendre à devenir un expert DevOps, comme le chemin le plus efficace. 𝟭. 𝗖𝗼𝗻𝗰𝗲𝗽𝘁𝘀 𝗼𝗳 𝗦𝗼𝗳𝘁𝘄𝗮𝗿𝗲 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 Apprendre : – Outils de collaboration (Agile, Jira) – Outils de construction – Tests automatisés 𝟮. 𝗢𝗦 & 𝗟𝗶𝗻𝘂𝘅 𝗕𝗮𝘀𝗶𝗰𝘀 Apprendre […]


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