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Download or read book Uncopyable written by Steve Miller and published by Sound Wisdom. This book was released on 2020-03-03 with total page 103 pages. Available in PDF, EPUB and Kindle. Book excerpt: What separates average businesses from extraordinarily successful ones? Better product? Nope. Your competitor will rapidly reverse-engineer your "secret sauce" and get their "better-than-you" version on the market faster than you can say "Usain Bolt." Better customer service? Guess what? All of your competitors say they provide the best customer service. It's a wishy washy phrase ... a vague generality with no meaningful specific. Better pricing? You're kidding, right? The company that lives on price dies on price. Harsher reality: Almost all industries today struggle with the increasing commoditization of their products and services, putting considerable pressure on prices and margins, leading to fiercer competition. The Solution? You must create an Uncopyable Attachment with your customers. They must see you as not only delivering a superior product but also as a high-value relationship they simply cannot get anywhere else. In Uncopyable, Steve Miller compellingly argues that new advantage isn't found by going "outside the box" - you must actually build your own box. Uncopyable will guide you to achieving an unfair and enduring competitive advantage.
Download or read book Effective C++ written by Scott Meyers and published by Pearson Education. This book was released on 2005-05-12 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: “Every C++ professional needs a copy of Effective C++. It is an absolute must-read for anyone thinking of doing serious C++ development. If you’ve never read Effective C++ and you think you know everything about C++, think again.” — Steve Schirripa, Software Engineer, Google “C++ and the C++ community have grown up in the last fifteen years, and the third edition of Effective C++ reflects this. The clear and precise style of the book is evidence of Scott’s deep insight and distinctive ability to impart knowledge.” — Gerhard Kreuzer, Research and Development Engineer, Siemens AG The first two editions of Effective C++ were embraced by hundreds of thousands of programmers worldwide. The reason is clear: Scott Meyers’ practical approach to C++ describes the rules of thumb used by the experts — the things they almost always do or almost always avoid doing — to produce clear, correct, efficient code. The book is organized around 55 specific guidelines, each of which describes a way to write better C++. Each is backed by concrete examples. For this third edition, more than half the content is new, including added chapters on managing resources and using templates. Topics from the second edition have been extensively revised to reflect modern design considerations, including exceptions, design patterns, and multithreading. Important features of Effective C++ include: Expert guidance on the design of effective classes, functions, templates, and inheritance hierarchies. Applications of new “TR1” standard library functionality, along with comparisons to existing standard library components. Insights into differences between C++ and other languages (e.g., Java, C#, C) that help developers from those languages assimilate “the C++ way” of doing things.
Book Synopsis Uncopyable Sales Secrets by : Kay Miller
Download or read book Uncopyable Sales Secrets written by Kay Miller and published by Sound Wisdom. This book was released on 2022-05-17 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: Make more sales, grow your network, and become a top earner! Uncopyable Sales Secrets teaches a foolproof system for creating an Uncopyable Attachment with your prospects and clients so that you can fill your sales pipeline, close more deals, and build a loyal customer base. Sales success isn’t the result of being good at selling a product or service…it comes from being good at selling yourself. That’s right—you, not your product or service, are the most valuable asset to the customer. To become a master salesperson, you have to make the relationship with the buyer uniquely valuable. You have to make yourself invaluable and irreplaceable. In short, you have to make yourself and the partnership you’re pitching Uncopyable. Learn how to reach buyers before your competition—and become their personal and professional ally—in this breakthrough book on high-performance selling. Kay Miller, a powerhouse sales guru who began her career as one of the first women hired by an industry leader in hardware and went on to become the No. 1 muffler salesperson in the world, shares the proven principles responsible for her sales success. Kay calls it the Uncopyable Sales Strategy, and it involves: Creating a win-win outlook for both you and your customers Stepping beyond fear to consistently expand your comfort zone Getting in the door by making an Uncopyable first impression Trading negotiation and persuasion for mutually profitable relationship-building Leveraging multiple contact platforms to maximize communication effectiveness Securing the order by asking the right questions, listening, and following up And more! Uncopyable Sales Secrets equips you with the techniques you need to enhance your prospecting skills, make more sales, grow your network, and become a top earner in your organization. When you execute this process, your customers will see you not only as delivering a superior product or service, but also as part of a high-value relationship they simply cannot get anywhere else. Read this book…before your competition does!
Book Synopsis Effective C++ Digital Collection by : Scott Meyers
Download or read book Effective C++ Digital Collection written by Scott Meyers and published by Addison-Wesley. This book was released on 2012-07-10 with total page 1045 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scott Meyers’s seminal C++ books– Effective C++ , More Effective C++ , and Effective STL –have been immensely helpful to hundreds of thousands of C++ programmers. All three are finally available together in this eBook collection. Effective C++ has been embraced by hundreds of thousands of programmers worldwide. The reason is clear: Scott Meyers’s practical approach to C++ describes the rules of thumb used by the experts to produce clear, correct, efficient code. The book is organized around 55 specific guidelines, each of which describes a way to write better C++. Each is backed by concrete examples. In More Effective C++, Meyers presents 35 ways to improve your programs and designs. Drawing on years of experience, Meyers explains how to write software that is more effective: more efficient, more robust, more consistent, more portable, and more reusable. In short, how to write C++ software that’s just plain better. In Effective STL, Meyers goes beyond describing what's in the STL to show you how to use it. Each of the book’s 50 guidelines is backed by Meyers’s legendary analysis and incisive examples, so you’ll learn not only what to do, but also when to do it–and why. Together in this collection, these books include the following important features: Expert guidance on the design of effective classes, functions, templates, and inheritance hierarchies. Applications of new “TR1” standard library functionality, along with comparisons to existing standard library components. Insights into differences between C++ and other languages (e.g., Java, C#, C) that help developers from those languages assimilate “the C++ way” of doing things. Proven methods for improving program efficiency, including incisive examinations of the time/space costs of C++ language features Comprehensive descriptions of advanced techniques used by C++ experts, including placement new, virtual constructors, smart pointers, reference counting, proxy classes, and double-dispatching Examples of the profound impact of exception handling on the structure and behavior of C++ classes and functions Practical treatments of new language features, including bool, mutable, explicit, namespaces, member templates, the Standard Template Library, and more. If your compilers don’t yet support these features, Meyers shows you how to get the job done without them. Advice on choosing among standard STL containers (like vector and list), nonstandard STL containers (like hash_set and hash_map), and non-STL containers (like bitset). Techniques to maximize the efficiency of the STL and the programs that use it. Insights into the behavior of iterators, function objects, and allocators, including things you should not do. Guidance for the proper use of algorithms and member functions whose names are the same (e.g., find), but whose actions differ in subtle (but important) ways. Discussions of potential portability problems, including straightforward ways to avoid them.
Download or read book T-Minus AI written by Michael Kanaan and published by BenBella Books. This book was released on 2020-08-25 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: Late in 2017, the global significance of the conversation about artificial intelligence (AI) changed forever. China put the world on alert when it released a plan to dominate all aspects of AI across the planet. Only weeks later, Vladimir Putin raised a Russian red flag in response by declaring AI the future for all humankind, and proclaiming that, "Whoever becomes the leader in this sphere will become the ruler of the world." The race was on. Consistent with their unique national agendas, countries throughout the world began plotting their paths and hurrying their pace. Now, not long after, the race has become a sprint. Despite everything at stake, to most of us AI remains shrouded by a cloud of mystery and misunderstanding. Hidden behind complicated and technical jargon and confused by fantastical depictions of science fiction, the modern realities of AI and its profound implications are hard to decipher, but crucial to recognize. In T-Minus AI: Humanity's Countdown to Artificial Intelligence and the New Pursuit of Global Power, author Michael Kanaan explains AI from a human-oriented perspective we can all finally understand. A recognized national expert and the U.S. Air Force's first Chairperson for Artificial Intelligence, Kanaan weaves a compelling new view on our history of innovation and technology to masterfully explain what each of us should know about modern computing, AI, and machine learning. Kanaan also dives into the global implications of AI by illuminating the cultural and national vulnerabilities already exposed and the pressing issues now squarely on the table. AI has already become China's all-purpose tool to impose its authoritarian influence around the world. Russia, playing catch up, is weaponizing AI through its military systems and now infamous, aggressive efforts to disrupt democracy by whatever disinformation means possible. America and like-minded nations are awakening to these new realities—and the paths they're electing to follow echo loudly the political foundations and, in most cases, the moral imperatives upon which they were formed. As we march toward a future far different than ever imagined, T-Minus AI is fascinating and crucially well-timed. It leaves the fiction behind, paints the alarming implications of AI for what they actually are, and calls for unified action to protect fundamental human rights and dignities for all.
Download or read book Stealing Genius written by Steve Miller and published by Sound Wisdom. This book was released on 2022-05-17 with total page 183 pages. Available in PDF, EPUB and Kindle. Book excerpt: Improvement is not innovation…and innovation is essential if your aim is to survive in today’s business environment. Stealing Genius lays the foundation for a dramatic, and long-overdue, shift in 21st-century strategic marketing and branding. Most executives and decision-makers are now focused on improving what they already have. They want better versions of the products and services they know about or understand. However, fixating on improvement in today’s world is a dangerous path—one that ultimately leads to commoditization and irrelevance. Targeting your time, attention, and resources on innovation, by contrast, means identifying something that does not exist right now in any form—something that will create a powerful, uncopyable experience for your target customer. In order to be successful both today and in the future, you need to separate yourself from the competition by practicing the breakthrough principle of Adaptive Innovation—what Steve Miller calls Stealing Genius™. How? By delivering an experience that the competition either cannot or will not attempt to copy. This is literally impossible if you stick to what is already familiar to you, because whatever is familiar to you and your customers is likely to be familiar to your competition. You must create a new experience that is unique to you and that fosters a powerful emotional attachment with your target customer. Featuring dozens of real-life case studies from a wide range of industries, Stealing Genius outlines Miller’s proven six-step process for creating an uncopyable experience. You’ll learn how to: Do more than think outside the box—you’ll build a new box completely Identify your “Moose,” the distinctive customer/client profile for which you are hunting Leverage insight from daily experience, personal heroes, and organizations outside your industry to better serve your customers Flip the competition by doing the exact opposite of what those in your industry are currently doing Maximize your strategic innovation by bringing in a Stealing Genius™ facilitator If you are trying to anticipate the crowd’s movement, you might as well be following the crowd. Create a truly original brand experience and start pioneering in your industry by implementing the game-changing process of Stealing Genius™.
Book Synopsis PyTorch 1.x Reinforcement Learning Cookbook by : Yuxi (Hayden) Liu
Download or read book PyTorch 1.x Reinforcement Learning Cookbook written by Yuxi (Hayden) Liu and published by Packt Publishing Ltd. This book was released on 2019-10-31 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: Implement reinforcement learning techniques and algorithms with the help of real-world examples and recipes Key FeaturesUse PyTorch 1.x to design and build self-learning artificial intelligence (AI) modelsImplement RL algorithms to solve control and optimization challenges faced by data scientists todayApply modern RL libraries to simulate a controlled environment for your projectsBook Description Reinforcement learning (RL) is a branch of machine learning that has gained popularity in recent times. It allows you to train AI models that learn from their own actions and optimize their behavior. PyTorch has also emerged as the preferred tool for training RL models because of its efficiency and ease of use. With this book, you'll explore the important RL concepts and the implementation of algorithms in PyTorch 1.x. The recipes in the book, along with real-world examples, will help you master various RL techniques, such as dynamic programming, Monte Carlo simulations, temporal difference, and Q-learning. You'll also gain insights into industry-specific applications of these techniques. Later chapters will guide you through solving problems such as the multi-armed bandit problem and the cartpole problem using the multi-armed bandit algorithm and function approximation. You'll also learn how to use Deep Q-Networks to complete Atari games, along with how to effectively implement policy gradients. Finally, you'll discover how RL techniques are applied to Blackjack, Gridworld environments, internet advertising, and the Flappy Bird game. By the end of this book, you'll have developed the skills you need to implement popular RL algorithms and use RL techniques to solve real-world problems. What you will learnUse Q-learning and the state–action–reward–state–action (SARSA) algorithm to solve various Gridworld problemsDevelop a multi-armed bandit algorithm to optimize display advertisingScale up learning and control processes using Deep Q-NetworksSimulate Markov Decision Processes, OpenAI Gym environments, and other common control problemsSelect and build RL models, evaluate their performance, and optimize and deploy themUse policy gradient methods to solve continuous RL problemsWho this book is for Machine learning engineers, data scientists and AI researchers looking for quick solutions to different reinforcement learning problems will find this book useful. Although prior knowledge of machine learning concepts is required, experience with PyTorch will be useful but not necessary.
Download or read book InfoWorld written by and published by . This book was released on 1981-01-19 with total page 36 pages. Available in PDF, EPUB and Kindle. Book excerpt: InfoWorld is targeted to Senior IT professionals. Content is segmented into Channels and Topic Centers. InfoWorld also celebrates people, companies, and projects.
Book Synopsis Becoming an Agile Software Architect by : Rajesh R V
Download or read book Becoming an Agile Software Architect written by Rajesh R V and published by Packt Publishing Ltd. This book was released on 2021-03-19 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide to successfully operating in a lean-agile organization for solutions architects and enterprise architects Key FeaturesDevelop the right combination of processes and technical excellence to address architectural challengesExplore a range of architectural techniques to modernize legacy systemsDiscover how to design and continuously improve well-architected sustainable softwareBook Description Many organizations have embraced Agile methodologies to transform their ability to rapidly respond to constantly changing customer demands. However, in this melee, many enterprises often neglect to invest in architects by presuming architecture is not an intrinsic element of Agile software development. Since the role of an architect is not pre-defined in Agile, many organizations struggle to position architects, often resulting in friction with other roles or a failure to provide a clear learning path for architects to be productive. This book guides architects and organizations through new Agile ways of incrementally developing the architecture for delivering an uninterrupted, continuous flow of values that meets customer needs. You'll explore various aspects of Agile architecture and how it differs from traditional architecture. The book later covers Agile architects' responsibilities and how architects can add significant value by positioning themselves appropriately in the Agile flow of work. Through examples, you'll also learn concepts such as architectural decision backlog,the last responsible moment, value delivery, architecting for change, DevOps, and evolutionary collaboration. By the end of this Agile book, you'll be able to operate as an architect in Agile development initiatives and successfully architect reliable software systems. What you will learnAcquire clarity on the duties of architects in Agile developmentUnderstand architectural styles such as domain-driven design and microservicesIdentify the pitfalls of traditional architecture and learn how to develop solutionsUnderstand the principles of value and data-driven architectureDiscover DevOps and continuous delivery from an architect's perspectiveAdopt Lean-Agile documentation and governanceDevelop a set of personal and interpersonal qualitiesFind out how to lead the transformation to achieve organization-wide agilityWho this book is for This agile study guide is for architects currently working on agile development projects or aspiring to work on agile software delivery, irrespective of the methodology they are using. You will also find this book useful if you're a senior developer or a budding architect looking to understand an agile architect's role by embracing agile architecture strategies and a lean-agile mindset. To understand the concepts covered in this book easily, you need to have prior knowledge of basic agile development practices.
Book Synopsis Human-Harmonized Information Technology, Volume 2 by : Toyoaki Nishida
Download or read book Human-Harmonized Information Technology, Volume 2 written by Toyoaki Nishida and published by Springer. This book was released on 2017-04-20 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Going from the philosophy and concepts to the implementation and user study, this book presents an excellent overview of Japan's contemporary technical challenges in the field of human–computer interaction. The next information era will be one in which information is used to cultivate human and social potential. Driven by this vision, the outcomes provided in this work were accomplished as challenges to establish basic technologies for achieving harmony between human beings and the information environment by integrating element technologies including real-space communication, human interfaces, and media processing. Ranging from the neuro-cognitive level to the field trial, the research activities integrated novel perceptual technologies that even exceed human ability to sense, capture, and affect the real world. This book grew out of one of the CREST research areas funded by the Japan Science and Technology Agency. The theme of the project is “the creation of human-harmonized information technology for convivial society”, where 17 research teams aimed at a common goal. The project promotes a trans-disciplinary approach featuring (1) recognition and comprehension of human behaviors and real-space contexts by utilizing sensor networks and ubiquitous computing, (2) technologies for facilitating man–machine communication by utilizing robots and ubiquitous networks, and (3) content technologies for analyzing, mining, integrating, and structuring multimedia data including those in text, voice, music, and images. This is the second of two volumes, which is contributed by eight team leaders. Besides describing the technical challenges, each contribution lays much weight on discussing the philosophy, concepts, and the implications underlying the project. This work will provide researchers and practitioners in the related areas with an excellent opportunity to find interesting new developments and to think about the relationship between human and information technology.
Book Synopsis Mastering Machine Learning Algorithms by : Giuseppe Bonaccorso
Download or read book Mastering Machine Learning Algorithms written by Giuseppe Bonaccorso and published by Packt Publishing Ltd. This book was released on 2018-05-25 with total page 567 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore and master the most important algorithms for solving complex machine learning problems. Key Features Discover high-performing machine learning algorithms and understand how they work in depth. One-stop solution to mastering supervised, unsupervised, and semi-supervised machine learning algorithms and their implementation. Master concepts related to algorithm tuning, parameter optimization, and more Book Description Machine learning is a subset of AI that aims to make modern-day computer systems smarter and more intelligent. The real power of machine learning resides in its algorithms, which make even the most difficult things capable of being handled by machines. However, with the advancement in the technology and requirements of data, machines will have to be smarter than they are today to meet the overwhelming data needs; mastering these algorithms and using them optimally is the need of the hour. Mastering Machine Learning Algorithms is your complete guide to quickly getting to grips with popular machine learning algorithms. You will be introduced to the most widely used algorithms in supervised, unsupervised, and semi-supervised machine learning, and will learn how to use them in the best possible manner. Ranging from Bayesian models to the MCMC algorithm to Hidden Markov models, this book will teach you how to extract features from your dataset and perform dimensionality reduction by making use of Python-based libraries such as scikit-learn. You will also learn how to use Keras and TensorFlow to train effective neural networks. If you are looking for a single resource to study, implement, and solve end-to-end machine learning problems and use-cases, this is the book you need. What you will learn Explore how a ML model can be trained, optimized, and evaluated Understand how to create and learn static and dynamic probabilistic models Successfully cluster high-dimensional data and evaluate model accuracy Discover how artificial neural networks work and how to train, optimize, and validate them Work with Autoencoders and Generative Adversarial Networks Apply label spreading and propagation to large datasets Explore the most important Reinforcement Learning techniques Who this book is for This book is an ideal and relevant source of content for data science professionals who want to delve into complex machine learning algorithms, calibrate models, and improve the predictions of the trained model. A basic knowledge of machine learning is preferred to get the best out of this guide.
Book Synopsis Practical Natural Language Processing by : Sowmya Vajjala
Download or read book Practical Natural Language Processing written by Sowmya Vajjala and published by O'Reilly Media. This book was released on 2020-06-17 with total page 455 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and scale NLP systems in a business setting and tailor them for particular industry verticals, this is your guide. Software engineers and data scientists will learn how to navigate the maze of options available at each step of the journey. Through the course of the book, authors Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana will guide you through the process of building real-world NLP solutions embedded in larger product setups. You’ll learn how to adapt your solutions for different industry verticals such as healthcare, social media, and retail. With this book, you’ll: Understand the wide spectrum of problem statements, tasks, and solution approaches within NLP Implement and evaluate different NLP applications using machine learning and deep learning methods Fine-tune your NLP solution based on your business problem and industry vertical Evaluate various algorithms and approaches for NLP product tasks, datasets, and stages Produce software solutions following best practices around release, deployment, and DevOps for NLP systems Understand best practices, opportunities, and the roadmap for NLP from a business and product leader’s perspective
Book Synopsis WordPress 5 Cookbook by : Rakhitha Nimesh Ratnayake
Download or read book WordPress 5 Cookbook written by Rakhitha Nimesh Ratnayake and published by Packt Publishing Ltd. This book was released on 2020-03-21 with total page 652 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore built-in WordPress features and the power of advanced plugins and themes for building modern websites using exciting recipes Key FeaturesBuild custom features and extend built-in features in WordPress with custom coding and pluginsGet to grips with extending WordPress as an application frameworkManage non-functional aspects of your website such as security, performance, and maintenanceBook Description WordPress has been the most popular content management system (CMS) for many years and is now powering over 30% of all websites globally. With the demand for WordPress development and skilled developers ever-increasing, now is the best time to learn WordPress inside out. This book starts with simple recipes for configuring WordPress and managing basic platform features. You’ll then move on to explore how to install and customize WordPress plugins, widgets, and themes. The next few chapters cover recipes for content and user-management-related topics such as customizing the content display, working with content types, using the new Gutenberg editor, and customizing editorial workflow for building advanced blogs. As you advance, you’ll learn how to use WordPress as an application framework as well as a platform for building e-commerce sites. This WordPress book will also help you optimize your site to maximize visibility on search engines, add interactivity, and build a user community to make the site profitable. Finally, you’ll learn how to maintain a WordPress site smoothly while taking precautions against possible security threats. By the end of the book, you’ll have the tools and skills required to build and maintain modern WordPress websites with the latest technologies and be able to find quick solutions to common WordPress problems. What you will learnInstall and customize WordPress themes and plugins for building websitesDevelop modern web designs without the need to write any codeExplore the new Gutenberg content editor introduced in WordPress 5 (Bebo)Use the existing WordPress plugins to add custom features and monetize your websiteImprove user interaction and accessibility for your website with simple tricksDiscover powerful techniques for maintaining and securing your websitesExtend built-in WordPress features for advanced website managementWho this book is for This book is for beginners who want to build powerful modern websites with minimum coding knowledge and intermediate web developers who want to extend the basic features of WordPress to cater to advanced modern website technologies. Although prior experience with WordPress is not required, familiarity with basic PHP, HTML, and CSS is necessary to understand the concepts covered.
Book Synopsis Hands-On Explainable AI (XAI) with Python by : Denis Rothman
Download or read book Hands-On Explainable AI (XAI) with Python written by Denis Rothman and published by Packt Publishing Ltd. This book was released on 2020-07-31 with total page 455 pages. Available in PDF, EPUB and Kindle. Book excerpt: Resolve the black box models in your AI applications to make them fair, trustworthy, and secure. Familiarize yourself with the basic principles and tools to deploy Explainable AI (XAI) into your apps and reporting interfaces. Key FeaturesLearn explainable AI tools and techniques to process trustworthy AI resultsUnderstand how to detect, handle, and avoid common issues with AI ethics and biasIntegrate fair AI into popular apps and reporting tools to deliver business value using Python and associated toolsBook Description Effectively translating AI insights to business stakeholders requires careful planning, design, and visualization choices. Describing the problem, the model, and the relationships among variables and their findings are often subtle, surprising, and technically complex. Hands-On Explainable AI (XAI) with Python will see you work with specific hands-on machine learning Python projects that are strategically arranged to enhance your grasp on AI results analysis. You will be building models, interpreting results with visualizations, and integrating XAI reporting tools and different applications. You will build XAI solutions in Python, TensorFlow 2, Google Cloud’s XAI platform, Google Colaboratory, and other frameworks to open up the black box of machine learning models. The book will introduce you to several open-source XAI tools for Python that can be used throughout the machine learning project life cycle. You will learn how to explore machine learning model results, review key influencing variables and variable relationships, detect and handle bias and ethics issues, and integrate predictions using Python along with supporting the visualization of machine learning models into user explainable interfaces. By the end of this AI book, you will possess an in-depth understanding of the core concepts of XAI. What you will learnPlan for XAI through the different stages of the machine learning life cycleEstimate the strengths and weaknesses of popular open-source XAI applicationsExamine how to detect and handle bias issues in machine learning dataReview ethics considerations and tools to address common problems in machine learning dataShare XAI design and visualization best practicesIntegrate explainable AI results using Python modelsUse XAI toolkits for Python in machine learning life cycles to solve business problemsWho this book is for This book is not an introduction to Python programming or machine learning concepts. You must have some foundational knowledge and/or experience with machine learning libraries such as scikit-learn to make the most out of this book. Some of the potential readers of this book include: Professionals who already use Python for as data science, machine learning, research, and analysisData analysts and data scientists who want an introduction into explainable AI tools and techniquesAI Project managers who must face the contractual and legal obligations of AI Explainability for the acceptance phase of their applications
Book Synopsis Hands-On Mathematics for Deep Learning by : Jay Dawani
Download or read book Hands-On Mathematics for Deep Learning written by Jay Dawani and published by Packt Publishing Ltd. This book was released on 2020-06-12 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive guide to getting well-versed with the mathematical techniques for building modern deep learning architectures Key FeaturesUnderstand linear algebra, calculus, gradient algorithms, and other concepts essential for training deep neural networksLearn the mathematical concepts needed to understand how deep learning models functionUse deep learning for solving problems related to vision, image, text, and sequence applicationsBook Description Most programmers and data scientists struggle with mathematics, having either overlooked or forgotten core mathematical concepts. This book uses Python libraries to help you understand the math required to build deep learning (DL) models. You'll begin by learning about core mathematical and modern computational techniques used to design and implement DL algorithms. This book will cover essential topics, such as linear algebra, eigenvalues and eigenvectors, the singular value decomposition concept, and gradient algorithms, to help you understand how to train deep neural networks. Later chapters focus on important neural networks, such as the linear neural network and multilayer perceptrons, with a primary focus on helping you learn how each model works. As you advance, you will delve into the math used for regularization, multi-layered DL, forward propagation, optimization, and backpropagation techniques to understand what it takes to build full-fledged DL models. Finally, you’ll explore CNN, recurrent neural network (RNN), and GAN models and their application. By the end of this book, you'll have built a strong foundation in neural networks and DL mathematical concepts, which will help you to confidently research and build custom models in DL. What you will learnUnderstand the key mathematical concepts for building neural network modelsDiscover core multivariable calculus conceptsImprove the performance of deep learning models using optimization techniquesCover optimization algorithms, from basic stochastic gradient descent (SGD) to the advanced Adam optimizerUnderstand computational graphs and their importance in DLExplore the backpropagation algorithm to reduce output errorCover DL algorithms such as convolutional neural networks (CNNs), sequence models, and generative adversarial networks (GANs)Who this book is for This book is for data scientists, machine learning developers, aspiring deep learning developers, or anyone who wants to understand the foundation of deep learning by learning the math behind it. Working knowledge of the Python programming language and machine learning basics is required.
Book Synopsis Cybercrimes: A Multidisciplinary Analysis by : Sumit Ghosh
Download or read book Cybercrimes: A Multidisciplinary Analysis written by Sumit Ghosh and published by Springer Science & Business Media. This book was released on 2010-09-22 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: Designed to serve as a reference work for practitioners, academics, and scholars worldwide, this book is the first of its kind to explain complex cybercrimes from the perspectives of multiple disciplines (computer science, law, economics, psychology, etc.) and scientifically analyze their impact on individuals, society, and nations holistically and comprehensively. In particular, the book shows: How multiple disciplines concurrently bring out the complex, subtle, and elusive nature of cybercrimes How cybercrimes will affect every human endeavor, at the level of individuals, societies, and nations How to legislate proactive cyberlaws, building on a fundamental grasp of computers and networking, and stop reacting to every new cyberattack How conventional laws and traditional thinking fall short in protecting us from cybercrimes How we may be able to transform the destructive potential of cybercrimes into amazing innovations in cyberspace that can lead to explosive technological growth and prosperity
Book Synopsis Hands-On Machine Learning with Scikit-learn and Scientific Python Toolkits by : Tarek Amr
Download or read book Hands-On Machine Learning with Scikit-learn and Scientific Python Toolkits written by Tarek Amr and published by . This book was released on 2020-07-24 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt:
