Download The Strategies of Informing Technology by Andrew Targowski (.ePUB)

The Strategies of Informing Technology in the 21st Century by Andrew Targowski
Requirements: .ePUB reader, 49 MB
Overview: Digital technology is ever-changing, which means that those working or planning to work in IT or apply IT systems must strategize how and what applications and technologies are ideal for sustainable civilization and human development. Developmental trends of IT and the digitalization of enterprise, agriculture, healthcare, education, and more must be explored within the boundaries of ethics and law in order to ensure that IT does not have a harmful effect on society. The Strategies of Informing Technology in the 21st Century is a critical authored reference book that develops the strategic attitude in developing and operating IT applications based on the requirements of sustainable civilization and ethical and wise applications of technology in society. Technological progress is examined including trends in automation, artificial intelligence, and information systems. The book also specifically covers applications of digital informing strategies in business, healthcare, agriculture, education, and the home. Covering key concepts such as automation, robotization, and digital infrastructure, it is ideal for IT executives, CIS/MIS/CS faculty, cyber ethics professionals, technologists, systems engineers, IT specialists and consultants, security analysts, students, researchers, and academicians.
Genre: Non-Fiction > Tech & Devices

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Download Machine Learning Cookbook with Python by Rehan Guha (.ePUB)

Machine Learning Cookbook with Python: Create ML and Data Analytics Projects Using Some Amazing Open Datasets by Rehan Guha
Requirements: .ePUB reader, 10mb
Overview: Machine Learning does not have to be intimidating at all. This book focuses on the concepts of Machine Learning and Data Analytics with mathematical explanations and programming examples. All the codes are written in Python as it is one of the most popular programming languages used for Data Science and Machine Learning. Here I have leveraged multiple libraries like NumPy, Pandas, scikit-learn, etc. to ease our task and not reinvent the wheel. There are five projects in total, each addressing a unique problem. With the recipes in this cookbook, one will learn how to solve Machine Learning problems for real-time data and perform Data Analysis and Analytics, Classification, and beyond. The datasets used are also unique and will help one to think, understand the problem and proceed towards the goal. The book is not saturated with Mathematics, but mostly all the Mathematical concepts are covered for the important topics. Every chapter typically starts with some theory and prerequisites, and then it gradually dives into the implementation of the same concept using Python, keeping a project in the background.
Genre: Non-Fiction > Tech & Devices

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Download Learning Microsoft Endpoint Manager by Scott Duffey (.ePUB)

Learning Microsoft Endpoint Manager: Unified Endpoint Management with Intune and the Enterprise Mobility + Security Suite by Scott Duffey
Requirements: .ePUB reader, 9mb
Overview: The first-ever book on Microsoft Endpoint Manager (MEM), written by Microsoft Program Manager Scott Duffey!Did you just land an IT job only to learn your new employer is using Microsoft Endpoint Manager (MEM) for device management? Perhaps you stretched the truth on your resume and suggested you knew it already? Maybe you are an old-hat, know-your-stuff device management pro for another MDM or PC management product but your company is now migrating? Whatever the case, this book will be your zero-to-hero ramp-up guide.Microsoft Endpoint Manager has rapidly become the tool of choice for IT professionals around the world for managing corporate and personal devices but the learning curve can be steep. This book can be used to fast-track your understanding of MEM by laying out the concepts, including examples and tips for the real world, along with guided lab exercises.Topics include:•Microsoft Endpoint Manager – What it is and how to use it•How to set up a MEM learning environment•Mobile Device Management (MDM) for iOS, macOS, Android, and Windows 10 devices with Microsoft Intune•Device enrollment concepts for Personal and Corporate devices including Windows Autopilot, Apple Automated DeviceEnrollment (ADE), and Google ZeroTouch•Endpoint Security configuration in MEM including device Compliance and Azure AD Conditional Access across Microsoft Intune, Configuration Manager, Azure AD, Microsoft Defender for Endpoint, and Office 365.•Deploying, protecting, and configuring mobile and desktop applications with Microsoft Intune.
Genre: Non-Fiction > Tech & Devices

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Download Heterostructured Materials by Xiaolei Wu (.PDF)

Heterostructured Materials: Novel Materials with Unprecedented Mechanical Properties by Xiaolei Wu,Yuntian Zhu
Requirements: .PDF reader, 140 MB
Overview: Heterostructured (HS) materials represent an emerging class of materials that are expected to become a major research field for the communities of materials, mechanics, and physics in the next couple of decades. One of the biggest advantages of HS materials is that they can be produced by large-scale industrial facilities and technologies and therefore can be commercialized without the scaling up and high-cost barriers that are often encountered by other advanced materials. This book collects recent papers on the progress in the field of HS materials, especially their fundamental physics. The papers are arranged in a sequence of chapters that will help new researchers entering the field to have a quick and comprehensive understanding of HS materials, including the fundamentals and recent progress in their processing, characterization, and properties.
Genre: Non-Fiction > Tech & Devices

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Download Artificial Intelligence, Machine Learning by Neeraj Mohan (.PDF)

Artificial Intelligence, Machine Learning, and Data Science Technologies; Future Impact and Well-Being for Society 5.0 by Neeraj Mohan
Requirements: .PDF reader, 28 MB
Overview: This book provides a comprehensive, conceptual, and detailed overview of the wide range of applications of Artificial Intelligence, Machine Learning, and Data Science and how these technologies have an impact on various domains such as healthcare, business, industry, security, and how all countries around the world are feeling this impact.

The book aims at low-cost solutions which could be implemented even in developing countries. It highlights the significant impact these technologies have on various industries and on us as humans. It provides a virtual picture of forthcoming better human life shadowed by the new technologies and their applications and discusses the impact Data Science has on business applications. The book will also include an overview of the different AI applications and their correlation between each other.

The audience is graduate and postgraduate students, researchers, academicians, institutions, and professionals who are interested in exploring key technologies like Artificial Intelligence, Machine Learning, and Data Science.
Genre: Non-Fiction > Tech & Devices

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