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Entrepreneurship in the Wild A Startup Field Guide (The MIT Press)

English | 2021 | ISBN: 0262542579 | 155 pages | True EPUB | 6.79 MB
This innovative book offers a learn-by-doing guide to entrepreneurship that balances practical advice with rigorous academic content. It introduces important concepts, provides highly engaging examples, and supplies the tools needed to put lessons into practice, creating a research-supported, step-by-step reference for developing, testing, and pitching any startup idea. By integrating lean startup principles, design thinking, and elements of the jobs-to-be-done framework, this combination textbook-workbook allows readers to choose for themselves whether, or to what extent, to engage with theory.
All of the book's ten chapters encourage hands-on effort, providing readers with easy-to-follow steps, calls to action, and attainable milestones. Aspiring entrepreneurs will find this systematic approach to be more efficient than haphazard trial and error, and much more likely to yield concrete results. Chapters begin with a "mini case," offering real-world examples of each step in the process. These cases―all featuring entrepreneurs working outside the Silicon Valley bubble―include a meadery operator that turned customers into advocates by designing compelling experiences and the development of a dating app for dog lovers that found a unique niche in a crowded market.

Data Science from Scratch First Principles with Python, 2nd Edition (True PDF)

English | 2019 | ISBN: 1492041130 | 398 pages | True PDF | 9.97 MB
To really learn data science, you should not only master the tools-data science libraries, frameworks, modules, and toolkits-but also understand the ideas and principles underlying them. Updated for Python 3.6, this second edition of Data Science from Scratch shows you how these tools and algorithms work by implementing them from scratch.
If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with the hacking skills you need to get started as a data scientist. Packed with new material on deep learning, statistics, and natural language processing, this updated book shows you how to find the gems in today's messy glut of data.

Data Science and Data Analytics Opportunities and Challenges

English | 2021 | ISBN: 0367628821 | 483 pages | True PDF | 54.07 MB
Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge and insights from structured (labeled) and unstructured (unlabeled) data. It is the future of Artificial Intelligence (AI) and a necessity of the future to make things easier and more productive. In simple terms, data science is the discovery of data or uncovering hidden patterns (such as complex behaviors, trends, and inferences) from data. Moreover, Big Data analytics/data analytics are the analysis mechanisms used in data science by data scientists. Several tools, such as Hadoop, R, etc., are used to analyze this large amount of data to predict valuable information and for decision-making. Note that structured data can be easily analyzed by efficient (available) business intelligence tools, while most of the data (80% of data by 2020) is in an unstructured form that requires advanced analytics tools. But while analyzing this data, we face several concerns, such as complexity, scalability, privacy leaks, and trust issues.
Data science helps us to extract meaningful information or insights from unstructured or complex or large amounts of data (available or stored virtually in the cloud).Data Science and Data Analytics: Opportunities and Challengescovers all possible areas, applications with arising serious concerns, and challenges in this emerging field in detail with a comparative analysis/taxonomy.

Data Governance The Definitive Guide People, Processes, and Tools to Operationalize Data Trustworthiness (True PDF)

English | 2021 | ISBN: 1492063495 | 254 pages | True PDF | 20.32 MB
As you move data to the cloud, you need to consider a comprehensive approach to data governance, along with well-defined and agreed-upon policies to ensure your organization meets compliance requirements. Data governance incorporates the ways people, processes, and technology work together to ensure data is trustworthy and can be used effectively. This practical guide shows you how to effectively implement and scale data governance throughout your organization.
Chief information, data, and security officers and their teams will learn strategy and tooling to support democratizing data and unlocking its value while enforcing security, privacy, and other governance standards. Through good data governance, you can inspire customer trust, enable your organization to identify business efficiencies, generate more competitive offerings, and improve customer experience. This book shows you how.

Cyber Threat Intelligence The No-Nonsense Guide for CISOs and Security Managers

English | 2021 | ISBN: 1484272196 | 221 pages | pdf, epub | 5.62 MB
Understand the process of setting up a successful cyber threat intelligence (CTI) practice within an established security team. This book shows you how threat information that has been collected, evaluated, and analyzed is a critical component in protecting your organization's resources. Adopting an intelligence-led approach enables your organization to nimbly react to situations as they develop. Security controls and responses can then be applied as soon as they become available, enabling prevention rather than response.
There are a lot of competing approaches and ways of working, but this book cuts through the confusion. Author Aaron Roberts introduces the best practices and methods for using CTI successfully. This book will help not only senior security professionals, but also those looking to break into the industry. You will learn the theories and mindset needed to be successful in CTI. This book covers the cybersecurity wild west, the merits and limitations of structured intelligence data, and how using structured intelligence data can, and should, be the standard practice for any intelligence team. You will understand your organizations' risks, based on the industry and the adversaries you are most likely to face, the importance of open-source intelligence (OSINT) to any CTI practice, and discover the gaps that exist with your existing commercial solutions and where to plug those gaps, and much more.

Creating Augmented and Virtual Realities Theory and Practice (True PDF)

English | 2019 | ISBN: 1492044199 | 372 pages | True PDF | 64.73 MB
Despite popular forays into augmented and virtual reality in recent years, spatial computing still sits on the cusp of mainstream use. Developers, artists, and designers looking to enter this field today have few places to turn for expert guidance. In this book, Erin Pangilinan, Steve Lukas, and Vasanth Mohan examine the AR and VR development pipeline and provide hands-on practice to help you hone your skills.
Through step-by-step tutorials, you'll learn how to build practical applications and experiences grounded in theory and backed by industry use cases. In each section of the book, industry specialists, including Timoni West, Victor Prisacariu, and Nicolas Meuleau, join the authors to explain the technology behind spatial computing.

Auditing Information and Cyber Security Governance A Controls-Based Approach (Internal Audit and IT Audit)

English | 2021 | ISBN: 0367568500 | 299 pages | True PDF | 9.82 MB
"A much-needed service for society today. I hope this book reaches information managers in the organization now vulnerable to hacks that are stealing corporate information and even holding it hostage for ransom."
- Ronald W. Hull, author, poet, and former professor and university administrator

AI for People and Business A Framework for Better Human Experiences and Business Success (True PDF)

English | 2019 | ISBN: 1492036579 | 317 pages | True PDF | 11.23 MB
If you're an executive, manager, or anyone interested in leveraging AI within your organization, this is your guide. You'll understand exactly what AI is, learn how to identify AI opportunities, and develop and execute a successful AI vision and strategy. Alex Castrounis, business consultant and former IndyCar engineer and race strategist, examines the value of AI and shows you how to develop an AI vision and strategy that benefits both people and business.
AI is exciting, powerful, and game changing--but too many AI initiatives end in failure. With this book, you'll explore the risks, considerations, trade-offs, and constraints for pursuing an AI initiative. You'll learn how to create better human experiences and greater business success through winning AI solutions and human-centered products.

97 Things Every Cloud Engineer Should Know Collective Wisdom from the Experts (True PDF)

English | 2021 | ISBN: 1492076732 | 311 pages | True PDF | 73.38 MB
If you create, manage, operate, or configure systems running in the cloud, you're a cloud engineer--even if you work as a system administrator, software developer, data scientist, or site reliability engineer. With this book, professionals from around the world provide valuable insight into today's cloud engineering role. These concise articles explore the entire cloud computing experience, including fundamentals, architecture, and migration. You'll delve into security and compliance, operations and reliability, and software development. And examine networking, organizational culture, and more. You're sure to find 1, 2, or 97 things that inspire you to dig deeper and expand your own career. "Three Keys to Making the Right Multi-Cloud Decisions," Brendan O'Leary "Serverless Bad Practices," Manases Jesus Galindo Bello "Failing a Cloud Migration," Lee Atchison "Treat Your Cloud Environment as If It Were On-Premises," Iyana Garry "What Is Toil, and Why Are SREs Obsessed with It?", Zachary Nickens "Lean QA: The QA Evolving in the DevOps World," Theresa Neate "How Economies of Scale Work in the Cloud," Jon Moore "The Cloud Is Not About the Cloud," Ken Corless "Data Gravity: The Importance of Data Management in the Cloud," Geoff Hughes "Even in the Cloud, the Network Is the Foundation," David Murray "Cloud Engineering Is About Culture, Not Containers," Holly Cummins

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If you are looking for educational materials, our website offers free downloadable online courses. From computer science to business and humanities. The courses are taught by professors from leading universities around the world, and you can earn a certificate of completion from many of them.

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Dl4All is download free for all software and educational resource. With a little searching, you can download what you need for free without spending any money.