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Azure for Architects: Implementing cloud design, DevOps, IoT, and serverless solutions on your public cloud

https://www.amazon.com/Azure-Architects-Implementing-serverl...
Key Features
  • Get familiar with the different design patterns available in Microsoft Azure
  • Develop Azure cloud architecture and a pipeline management system
  • Get to know the security best practices for your Azure deployment
Book DescriptionOver the years, Azure cloud services has grown quickly, and the number of organizations adopting Azure for their cloud services is also gradually increasing. Leading industry giants are finding that Azure fulfills their extensive cloud requirements.This book will guide you through all the important and tough decision-making aspects involved in architecturing a Azure public cloud for your organization. The book starts with an extensive introduction to all the categories of designs available with Azure. These design patterns focus on different aspects of cloud such as high availability, data management, and so on.Gradually, we move on to various aspects such as building your cloud structure and architecture. It will also include a brief description about different types of services provided by Azure, such as Azure functions and Azure Analytics, which can prove beneficial for an organization. This book will cover each and every aspect and function required to develop a Azure cloud based on your organizational requirements.By the end of this book, you will be in a position to develop a full-fledged Azure cloud.What you will learn
  • Familiarize yourself with the components of the Azure Cloud platform
  • Understand the cloud design patterns
  • Use enterprise security guidelines for your Azure deployment
  • Design and implement Serverless solutions
  • See Cloud architecture and the deployment pipeline
  • Understand cost management for Azure solutions
About the AuthorRitesh Modi is a former Microsoft senior technology evangelist currently working as a principal consultant for Infront Consulting Group. He is an architect, a senior evangelist, cloud architect, published author, speaker, and a known leader for his contributions towards datacenter, Azure, bots, blockchain, cognitive services, DevOps, artificial intelligence, and automation. He is the author of multiple books. Developing Bots using Bot Framework and DevOps with Windows Server 2016 are some of his recent books. He has also coauthored another book, titled Introducing Windows Server 2016 Technical Preview, along with the Windows Server team.He has spoken at more than 15 conferences, including TechEd and the PowerShell Asia Conference, and is a published author for MSDN magazine. He has more than a decade of experience in building and deploying enterprise solutions for customers, and more than 25 technical certifications. His interests and hobbies include writing books, playing with his daughter, watching movies, and continuing to learn new technologies. His Twitter handle is @automationnext.Ritesh currently lives in Hyderabad, India.Table of Contents
  • Getting Started
  • Azure Design Patterns
  • Designing High Availability
  • Implementing Scalability
  • Cloud Security
  • Designing IoT Solutions
  • Designing and Implementing Data Solutions
  • Designing and Implementing Serverless Solutions
  • Designing Policies, Locks, and Tags
  • DevOps on Azure
  • Cost Management
  • Monitoring and Auditing
  • Author: Ritesh Modi
    Published by: Packt Publishing | Publication date: 10/20/2017
    Kindle book details: Kindle Edition, 360 pages

    Machine Learning for the Web

    https://www.amazon.com/Machine-Learning-Web-Andrea-Isoni-ebo...
    Key Features
    • Targets two big and prominent markets where sophisticated web apps are of need and importance.
    • Practical examples of building machine learning web application, which are easy to follow and replicate.
    • A comprehensive tutorial on Python libraries and frameworks to get you up and started.
    Book DescriptionPython is a general purpose and also a comparatively easy to learn programming language. Hence it is the language of choice for data scientists to prototype, visualize, and run data analyses on small and medium-sized data sets. This is a unique book that helps bridge the gap between machine learning and web development. It focuses on the difficulties of implementing predictive analytics in web applications. We focus on the Python language, frameworks, tools, and libraries, showing you how to build a machine learning system. You will explore the core machine learning concepts and then develop and deploy the data into a web application using the Django framework. You will also learn to carry out web, document, and server mining tasks, and build recommendation engines. Later, you will explore Python's impressive Django framework and will find out how to build a modern simple web app with machine learning features.What you will learn
    • Get familiar with the fundamental concepts and some of the jargons used in the machine learning community
    • Use tools and techniques to mine data from websites
    • Grasp the core concepts of Django framework
    • Get to know the most useful clustering and classification techniques and implement them in Python
    • Acquire all the necessary knowledge to build a web application with Django
    • Successfully build and deploy a movie recommendation system application using the Django framework in Python
    About the AuthorAndrea Isoni is a data scientist, PhD, and physicist professional with extensive experience in software developer positions. He has an extensive knowledge of machine learning algorithms and techniques. He also has experience with multiple languages, such as Python, C/C++, Java, JavaScript, C#, SQL, HTML, and Hadoop.Table of Contents
  • Introduction to Practical Machine Learning Using Python
  • Unsupervised Machine Learning
  • Supervised Machine Learning
  • Web Mining Techniques
  • Recommendation Systems
  • Getting Started with Django
  • Movie Recommendation System Web Application
  • Sentiment Analyser Application for Movie Reviews
  • Author: Andrea Isoni
    Published by: Packt Publishing | Publication date: 07/29/2016
    Kindle book details: Kindle Edition, 298 pages

    Cybersecurity – Attack and Defense Strategies: Infrastructure security with Red Team and Blue Team tactics

    https://www.amazon.com/Cybersecurity-Defense-Strategies-Infr...
    Enhance your organization’s secure posture by improving your attack and defense strategiesKey Features
    • Gain a clear understanding of the attack methods, and patterns to recognize abnormal behavior within your organization with Blue Team tactics.
    • Learn to unique techniques to gather exploitation intelligence, identify risk and demonstrate impact with Red Team and Blue Team strategies.
    • A practical guide that will give you hands-on experience to mitigate risks and prevent attackers from infiltrating your system.
    Book DescriptionThe book will start talking about the security posture before moving to Red Team tactics, where you will learn the basic syntax for the Windows and Linux tools that are commonly used to perform the necessary operations. You will also gain hands-on experience of using new Red Team techniques with powerful tools such as python and PowerShell, which will enable you to discover vulnerabilities in your system and how to exploit them. Moving on, you will learn how a system is usually compromised by adversaries, and how they hack user's identity, and the various tools used by the Red Team to find vulnerabilities in a system.In the next section, you will learn about the defense strategies followed by the Blue Team to enhance the overall security of a system. You will also learn about an in-depth strategy to ensure that there are security controls in each network layer, and how you can carry out the recovery process of a compromised system. Finally, you will learn how to create a vulnerability management strategy and the different techniques for manual log analysis. By the end of this book, you will be well-versed with Red Team and Blue Team techniques and will have learned the techniques used nowadays to attack and defend systems.What you will learn
    • Learn the importance of having a solid foundation for your security posture
    • Understand the attack strategy using cyber security kill chain
    • Learn how to enhance your defense strategy by improving your security policies, hardening your network, implementing active sensors, and leveraging threat intelligence
    • Learn how to perform an incident investigation
    • Get an in-depth understanding of the recovery process
    • Understand continuous security monitoring and how to implement a vulnerability management strategy
    • Learn how to perform log analysis to identify suspicious activities
    Who this book is forThis book aims at IT professional who want to venture the IT security domain. IT pentester, Security consultants, and ethical hackers will also find this course useful. Prior knowledge of penetration testing would be beneficial. Table of Contents
  • Security Posture
  • Incident Response Process
  • Understanding the Cybersecurity Kill Chain
  • Reconnaissance
  • Compromising the System
  • Chasing a User's Identity
  • Lateral Movement
  • Privilege Escalation
  • Security Policy
  • Network Segmentation
  • Active Sensors
  • Threat Intelligence
  • Investigating an Incident
  • Recovery Process
  • Vulnerability Management
  • Log Analysis
  • Published by: Packt Publishing | Publication date: 01/30/2018
    Kindle book details: Kindle Edition, 384 pages

    Thinking in CSS

    https://www.amazon.com/Thinking-CSS-Aravind-Shenoy-ebook/dp/...
    You will gain an intermediate knowledge of CSS after reading this book. Instead of wandering through loads of theory, we will understand CSS more practically so that we can design a webpage using CSS. We have used Notepad for the examples in this book. Alternatively, you can also use Notepad++ or any advanced editor. All that you need to do is copy the code and paste it into Notepad. Upon execution, you will get the output as depicted in the screenshots. Screenshots are provided for each sample code. Coding gets better with practice. The examples in this book are compatible with almost every browser. Instead of using the verbatim code, you can modify the code and see the change in the output, thereby understanding the subtle nuances of CSS. By the end of the book, with practice, you can achieve better things and get more acquainted with CSS.
    Published by: Packt Publishing | Publication date: 04/14/2014
    Kindle book details: Kindle Edition, 46 pages

    Thinking in JavaScript

    https://www.amazon.com/Thinking-JavaScript-Aravind-Shenoy-eb...
    JavaScript is a scripting language for the web. Before we delve into the intricacies of JavaScript, we need to know why it is used. While HTML tells your browser how your webpage will look, JavaScript is used for dynamic content and to add functionality. Using this book, you will understand the concept of JavaScript and its use in web designing. You will also have a look at jQuery in general. You will learn about Functions, Operators, the concept of Variables, Conditions and Loops, Arrays, and the basics of jQuery in this book. Instead of wandering through loads of theory, we have used practical examples in this book. The examples in this book are compatible with almost every browser. Instead of using the verbatim code, you can modify the code and see the change in the output thereby understanding the subtle nuances of JavaScript. By the end of the book, with practice, you can achieve better things and get more acquainted with JavaScript.
    Published by: Packt Publishing | Publication date: 04/14/2014
    Kindle book details: Kindle Edition, 47 pages

    Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow, 2nd Edition

    https://www.amazon.com/Python-Machine-Learning-scikit-learn-...
    Key Features
    • Second edition of the bestselling book on Machine Learning
    • A practical approach to key frameworks in data science, machine learning, and deep learning
    • Use the most powerful Python libraries to implement machine learning and deep learning
    • Get to know the best practices to improve and optimize your machine learning systems and algorithms
    Book DescriptionMachine learning is eating the software world, and now deep learning is extending machine learning. Understand and work at the cutting edge of machine learning, neural networks, and deep learning with this second edition of Sebastian Raschka's bestselling book, Python Machine Learning. Thoroughly updated using the latest Python open source libraries, this book offers the practical knowledge and techniques you need to create and contribute to machine learning, deep learning, and modern data analysis.Fully extended and modernized, Python Machine Learning Second Edition now includes the popular TensorFlow deep learning library. The scikit-learn code has also been fully updated to include recent improvements and additions to this versatile machine learning library.Sebastian Raschka and Vahid Mirjalili's unique insight and expertise introduce you to machine learning and deep learning algorithms from scratch, and show you how to apply them to practical industry challenges using realistic and interesting examples. By the end of the book, you'll be ready to meet the new data analysis opportunities in today's world.If you've read the first edition of this book, you'll be delighted to find a new balance of classical ideas and modern insights into machine learning. Every chapter has been critically updated, and there are new chapters on key technologies. You'll be able to learn and work with TensorFlow more deeply than ever before, and get essential coverage of the Keras neural network library, along with the most recent updates to scikit-learn.What you will learn
    • Understand the key frameworks in data science, machine learning, and deep learning
    • Harness the power of the latest Python open source libraries in machine learning
    • Explore machine learning techniques using challenging real-world data
    • Master deep neural network implementation using the TensorFlow library
    • Learn the mechanics of classification algorithms to implement the best tool for the job
    • Predict continuous target outcomes using regression analysis
    • Uncover hidden patterns and structures in data with clustering
    • Delve deeper into textual and social media data using sentiment analysis
    Table of Contents
  • Giving Computers the Ability to Learn from Data
  • Training Simple Machine Learning Algorithms for Classification
  • A Tour of Machine Learning Classifiers Using Scikit-Learn
  • Building Good Training Sets - Data Preprocessing
  • Compressing Data via Dimensionality Reduction
  • Learning Best Practices for Model Evaluation and Hyperparameter Tuning
  • Combining Different Models for Ensemble Learning
  • Applying Machine Learning to Sentiment Analysis
  • Embedding a Machine Learning Model into a Web Application
  • Predicting Continuous Target Variables with Regression Analysis
  • Working with Unlabeled Data - Clustering Analysis
  • Implementing a Multilayer Artificial Neural Network from Scratch
  • Parallelizing Neural Network Training with TensorFlow
  • Going Deeper - The Mechanics of TensorFlow
  • Classifying Images with Deep Convolutional Neural Networks
  • Modeling Sequential Data using Recurrent Neural Networks
  • Published by: Packt Publishing | Publication date: 09/20/2017
    Kindle book details: Kindle Edition, 624 pages

    Thinking in HTML

    https://www.amazon.com/Thinking-HTML-Aravind-Shenoy-ebook/dp...
    You will gain an intermediate knowledge of HTML after reading this book. Instead of wandering through loads of theory, we will understand HTML practically so that we can semantically define the markup and structure of a webpage. We have used Notepad for the examples in this book. Alternatively, you can also use Notepad++ or any advanced editor. All you need to do is copy the code and paste it into Notepad. Upon execution, you will get the output as depicted in the screenshots. Screenshots are provided for each sample code. Coding improves with practice. The examples in this book are compatible with almost every modern browser such as Mozilla Firefox, Opera or Google Chrome to name a few. Instead of using the verbatim code, you can modify the code and see the change in the output, thereby understanding the subtle nuances of HTML. By the end of the book, with practice, you can achieve better things as you get to grips with HTML.
    Published by: Packt Publishing | Publication date: 09/15/2014
    Kindle book details: Kindle Edition, 67 pages

    Hadoop Explained

    https://www.amazon.com/Hadoop-Explained-Aravind-Shenoy-ebook...
    With the almost unfathomable increase in web traffic over recent years, driven by millions of connected users, businesses are gaining access to massive amounts of complex, unstructured data from which to gain insight.When Hadoop was introduced by Yahoo in 2007, it brought with it a paradigm shift in how this data was stored and analysed. Hadoop allowed small and medium sized companies to store huge amounts of data on cheap commodity servers in racks. The introduction of Big Data has allowed businesses to make decisions based on quantifiable analysis. Hadoop is now implemented in major organizations such as Amazon, IBM, Cloudera, and Dell to name a few. This book introduces you to Hadoop and to concepts such as ‘MapReduce’, ‘Rack Awareness’, ‘Yarn’ and ‘HDFS Federation’, which will help you get acquainted with the technology.
    Published by: Packt Publishing | Publication date: 06/16/2014
    Kindle book details: Kindle Edition, 156 pages

    CSS and Documents

    https://www.amazon.com/CSS-Documents-Eric-Meyer-ebook/dp/B00...
    Cascading Style Sheets (CSS) is a powerful tool that transforms the presentation of a document or a collection of documents, and it’s spread to nearly every corner of the Web—as well as many non-web environments. In this free introduction to Cascade Style Sheets, you’ll learn how CSS makes it possible for you to completely change the way document elements are presented by a user agent. You’ll discover the origins of this specification and how CSS styles work with HTML.Learn how you can choose style sheets based on the features of a given media type, including desktop screens, web-enabled phones, digital projectors, TVs, Braille devices, print documents, and even various audio renderings of a document. CSS and Documents is an excerpt from the forthcoming 4th edition of CSS: The Definitive Guide.
    Published by: O'Reilly Media | Publication date: 09/28/2012
    Kindle book details: Kindle Edition, 47 pages

    Architects of Intelligence: The truth about AI from the people building it

    https://www.amazon.com/Architects-Intelligence-truth-people-...
    Financial Times Best Books of the Year 2018TechRepublic Top Books Every Techie Should ReadBook Description:How will AI evolve and what major innovations are on the horizon? What will its impact be on the job market, economy, and society? What is the path toward human-level machine intelligence? What should we be concerned about as artificial intelligence advances?Architects of Intelligence contains a series of in-depth, one-to-one interviews where New York Times bestselling author, Martin Ford, uncovers the truth behind these questions from some of the brightest minds in the Artificial Intelligence community.Martin has wide-ranging conversations with twenty-three of the world's foremost researchers and entrepreneurs working in AI and robotics: Demis Hassabis (DeepMind), Ray Kurzweil (Google), Geoffrey Hinton (Univ. of Toronto and Google), Rodney Brooks (Rethink Robotics), Yann LeCun (Facebook) , Fei-Fei Li (Stanford and Google), Yoshua Bengio (Univ. of Montreal), Andrew Ng (AI Fund), Daphne Koller (Stanford), Stuart Russell (UC Berkeley), Nick Bostrom (Univ. of Oxford), Barbara Grosz (Harvard), David Ferrucci (Elemental Cognition), James Manyika (McKinsey), Judea Pearl (UCLA), Josh Tenenbaum (MIT), Rana el Kaliouby (Affectiva), Daniela Rus (MIT), Jeff Dean (Google), Cynthia Breazeal (MIT), Oren Etzioni (Allen Institute for AI), Gary Marcus (NYU), and Bryan Johnson (Kernel).Martin Ford is a prominent futurist, and author of Financial Times Business Book of the Year, Rise of the Robots. He speaks at conferences and companies around the world on what AI and automation might mean for the future.Editorial reviews:"In his newest book, Architects of Intelligence, Martin Ford provides us with an invaluable opportunity to learn from some of the most prominent thought leaders about the emerging fields of science that are shaping our future."-Al Gore, Former Vice President of the US"AI is going to shape our future, and Architects of Intelligence offers a unique and fascinating collection of perspectives from the top researchers and entrepreneurs who are driving progress in the field."- Eric Schmidt, former Chairman and CEO, Google"The best way to understand the challenges and consequences of AGI is to see inside the minds of industry experts shaping the field. Architects of Intelligence gives you that power."-Sam Altman, President of Y Combinator and co-chairman of OpenAI"Architects of Intelligence gets you inside the minds of the people building the technology that is going to transform our world. This is a book that everyone should read."-Reid Hoffman, Co-founder of LinkedIn
    Author: Martin Ford
    Published by: Packt Publishing | Publication date: 11/23/2018
    Kindle book details: Kindle Edition, 554 pages
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