Download or read book Machine Learning Engineering in Action written by Ben Wilson and published by Simon and Schuster. This book was released on 2022-05-17 with total page 879 pages. Available in PDF, EPUB and Kindle. Book excerpt: Field-tested tips, tricks, and design patterns for building machine learning projects that are deployable, maintainable, and secure from concept to production. In Machine Learning Engineering in Action, you will learn: Evaluating data science problems to find the most effective solution Scoping a machine learning project for usage expectations and budget Process techniques that minimize wasted effort and speed up production Assessing a project using standardized prototyping work and statistical validation Choosing the right technologies and tools for your project Making your codebase more understandable, maintainable, and testable Automating your troubleshooting and logging practices Ferrying a machine learning project from your data science team to your end users is no easy task. Machine Learning Engineering in Action will help you make it simple. Inside, you'll find fantastic advice from veteran industry expert Ben Wilson, Principal Resident Solutions Architect at Databricks. Ben introduces his personal toolbox of techniques for building deployable and maintainable production machine learning systems. You'll learn the importance of Agile methodologies for fast prototyping and conferring with stakeholders, while developing a new appreciation for the importance of planning. Adopting well-established software development standards will help you deliver better code management, and make it easier to test, scale, and even reuse your machine learning code. Every method is explained in a friendly, peer-to-peer style and illustrated with production-ready source code. About the technology Deliver maximum performance from your models and data. This collection of reproducible techniques will help you build stable data pipelines, efficient application workflows, and maintainable models every time. Based on decades of good software engineering practice, machine learning engineering ensures your ML systems are resilient, adaptable, and perform in production. About the book Machine Learning Engineering in Action teaches you core principles and practices for designing, building, and delivering successful machine learning projects. You'll discover software engineering techniques like conducting experiments on your prototypes and implementing modular design that result in resilient architectures and consistent cross-team communication. Based on the author's extensive experience, every method in this book has been used to solve real-world projects. What's inside Scoping a machine learning project for usage expectations and budget Choosing the right technologies for your design Making your codebase more understandable, maintainable, and testable Automating your troubleshooting and logging practices About the reader For data scientists who know machine learning and the basics of object-oriented programming. About the author Ben Wilson is Principal Resident Solutions Architect at Databricks, where he developed the Databricks Labs AutoML project, and is an MLflow committer.

Download or read book The Living Machine written by Jacob Chester and published by Bradie S. Crandall. This book was released on 2020-07-01 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this daring book, Bradie S. Crandall challenges the pervasive assertion that you need to eat meat to grow big and strong with the highest quality and most up-to-date science available. Viewing the human body as a machine, he uses his training as an engineer to dissect common misconceptions surrounding the controversial nutritional landscape with ease. Within this text is a bold new dietary approach for strength athletes. Bradie asserts that a diet featuring plants could potentially be more conducive to building strength and mass than a diet featuring animal products. He breaks down the science and helps explain why across professional athletics, more and more elite athletes are adopting plant-based diets.

Download or read book Introduction to Precision Machine Design and Error Assessment written by Samir Mekid and published by CRC Press. This book was released on 2008-12-23 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: While ultra-precision machines are now achieving sub-nanometer accuracy, unique challenges continue to arise due to their tight specifications. Written to meet the growing needs of mechanical engineers and other professionals to understand these specialized design process issues, Introduction to Precision Machine Design and Error Assessment places

Download or read book Machine Learning Engineering written by Andriy Burkov and published by True Positive Incorporated. This book was released on 2020-09-08 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: The most comprehensive book on the engineering aspects of building reliable AI systems. "If you intend to use machine learning to solve business problems at scale, I'm delighted you got your hands on this book." -Cassie Kozyrkov, Chief Decision Scientist at Google "Foundational work about the reality of building machine learning models in production." -Karolis Urbonas, Head of Machine Learning and Science at Amazon

Download or read book Data Driven Science and Engineering written by Steven L. Brunton and published by Cambridge University Press. This book was released on 2022-05-05 with total page 615 pages. Available in PDF, EPUB and Kindle. Book excerpt: A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.

Download or read book Probabilistic Machine Learning for Civil Engineers written by James-A. Goulet and published by MIT Press. This book was released on 2020-04-14 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to key concepts and techniques in probabilistic machine learning for civil engineering students and professionals; with many step-by-step examples, illustrations, and exercises. This book introduces probabilistic machine learning concepts to civil engineering students and professionals, presenting key approaches and techniques in a way that is accessible to readers without a specialized background in statistics or computer science. It presents different methods clearly and directly, through step-by-step examples, illustrations, and exercises. Having mastered the material, readers will be able to understand the more advanced machine learning literature from which this book draws. The book presents key approaches in the three subfields of probabilistic machine learning: supervised learning, unsupervised learning, and reinforcement learning. It first covers the background knowledge required to understand machine learning, including linear algebra and probability theory. It goes on to present Bayesian estimation, which is behind the formulation of both supervised and unsupervised learning methods, and Markov chain Monte Carlo methods, which enable Bayesian estimation in certain complex cases. The book then covers approaches associated with supervised learning, including regression methods and classification methods, and notions associated with unsupervised learning, including clustering, dimensionality reduction, Bayesian networks, state-space models, and model calibration. Finally, the book introduces fundamental concepts of rational decisions in uncertain contexts and rational decision-making in uncertain and sequential contexts. Building on this, the book describes the basics of reinforcement learning, whereby a virtual agent learns how to make optimal decisions through trial and error while interacting with its environment.

Download or read book The Machine written by Justin Roff-Marsh and published by . This book was released on 2015 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Brace yourself for plain talk about what's wrong with sales and marketing. Consultant Justin Roff-Marsh says that traditional approaches no longer work: inventories pile up; customers avoid visits from field salespeople; sales technology makes things worse; and commissions and bonuses drive salespeople to underperform. Roff-Marsh, a survivor of the hard-knocks world of sales, interlaces his old-school approach to leadership with a gentler understanding of human motivation. His examples, if sometimes strident, provide sound solutions. Even seasoned sellers, sales executives and CEOs will discover challenging new tactics and strategies for reinventing sales. getAbstract recommends Roff-Marsh's change-driven manual as an illuminating treatment of an alternative tactic for daring salespeople, sales managers, and senior leaders seeking an original and comprehensive sales strategy.

Download or read book Human Machine written by Paul R. Daugherty and published by Harvard Business Press. This book was released on 2018-03-20 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: AI is radically transforming business. Are you ready? Look around you. Artificial intelligence is no longer just a futuristic notion. It's here right now--in software that senses what we need, supply chains that "think" in real time, and robots that respond to changes in their environment. Twenty-first-century pioneer companies are already using AI to innovate and grow fast. The bottom line is this: Businesses that understand how to harness AI can surge ahead. Those that neglect it will fall behind. Which side are you on? In Human + Machine, Accenture leaders Paul R. Daugherty and H. James (Jim) Wilson show that the essence of the AI paradigm shift is the transformation of all business processes within an organization--whether related to breakthrough innovation, everyday customer service, or personal productivity habits. As humans and smart machines collaborate ever more closely, work processes become more fluid and adaptive, enabling companies to change them on the fly--or to completely reimagine them. AI is changing all the rules of how companies operate. Based on the authors' experience and research with 1,500 organizations, the book reveals how companies are using the new rules of AI to leap ahead on innovation and profitability, as well as what you can do to achieve similar results. It describes six entirely new types of hybrid human + machine roles that every company must develop, and it includes a "leader’s guide" with the five crucial principles required to become an AI-fueled business. Human + Machine provides the missing and much-needed management playbook for success in our new age of AI. BOOK PROCEEDS FOR THE AI GENERATION The authors' goal in publishing Human + Machine is to help executives, workers, students and others navigate the changes that AI is making to business and the economy. They believe AI will bring innovations that truly improve the way the world works and lives. However, AI will cause disruption, and many people will need education, training and support to prepare for the newly created jobs. To support this need, the authors are donating the royalties received from the sale of this book to fund education and retraining programs focused on developing fusion skills for the age of artificial intelligence.

Download or read book Feature Engineering for Machine Learning written by Alice Zheng and published by "O'Reilly Media, Inc.". This book was released on 2018-03-23 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you’ll learn techniques for extracting and transforming features—the numeric representations of raw data—into formats for machine-learning models. Each chapter guides you through a single data problem, such as how to represent text or image data. Together, these examples illustrate the main principles of feature engineering. Rather than simply teach these principles, authors Alice Zheng and Amanda Casari focus on practical application with exercises throughout the book. The closing chapter brings everything together by tackling a real-world, structured dataset with several feature-engineering techniques. Python packages including numpy, Pandas, Scikit-learn, and Matplotlib are used in code examples. You’ll examine: Feature engineering for numeric data: filtering, binning, scaling, log transforms, and power transforms Natural text techniques: bag-of-words, n-grams, and phrase detection Frequency-based filtering and feature scaling for eliminating uninformative features Encoding techniques of categorical variables, including feature hashing and bin-counting Model-based feature engineering with principal component analysis The concept of model stacking, using k-means as a featurization technique Image feature extraction with manual and deep-learning techniques

Download or read book Functional Reverse Engineering of Machine Tools written by Wasim Ahmed Khan and published by CRC Press. This book was released on 2019-09-23 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this book is to develop capacity building in strategic and non-strategic machine tool technology. The book contains chapters on how to functionally reverse engineer strategic and non-strategic computer numerical control machinery. Numerous engineering areas, such as mechanical engineering, electrical engineering, control engineering, and computer hardware and software engineering, are covered. The book offers guidelines and covers design for machine tools, prototyping, augmented reality for machine tools, modern communication strategies, and enterprises of functional reverse engineering, along with case studies. Features Presents capacity building in machine tool development Discusses engineering design for machine tools Covers prototyping of strategic and non-strategic machine tools Illustrates augmented reality for machine tools Includes Internet of Things (IoT) for machine tools

Download or read book Brain machine Interface Engineering written by Justin Cort Sanchez and published by Morgan & Claypool Publishers. This book was released on 2007 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: Annotation Brain-Machine Interaction provides a unique framework for understanding the motivation and techniques of applying signal processing methodologies to brain-machine interaction (BMI) design and experimentation. Each chapter begins with a historical perspective and motivating example illustrating the need for this approach in BMI design. Included in each chapter is a list of assumptions associated with each methodological choice and the impact on BMI performance. To validate and advance the state-of-the-art of BMI modeling design, model performance is discussed and how the proposed model represents the neural-to-motor mappings. Finally, the feasibility of building BMIs (technical and practical aspects) is developed in the context of digital computational hardware.

Download or read book Machine Intelligence in Mechanical Engineering written by K. Palanikumar and published by Elsevier. This book was released on 2024-01-18 with total page 451 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Intelligence in Mechanical Engineering explains the latest applications of machine intelligence and data-driven decision-making in mechanical engineering industries. By providing introductory theory, trouble-shooting case studies, detailed algorithms and implementation instructions, this interdisciplinary book will help readers explore additional applications in their own fields. Those with a mechanical background will learn the important tasks related to preprocessing of datasets, feature extraction, verification and validation of machine learning models which unlock these new methods. Machine Intelligence is currently a key topic in industrial automation, enabling machines to solve complex engineering tasks and driving efficiencies in the smart production line. Smart preventative maintenance systems can prevent machine downtime, smart monitoring and control can produce more effective workflows with less human intervention. - Provides detailed case studies of how machine intelligence has been used in mechanical engineering applications - Includes a basic introduction to machine learning algorithms and their implementation - Addresses innovative applications of AR/VR technology in mechanical engineering

Download or read book Mechanical Engineering Technologies and Applications Volume 2 written by Zied Driss and published by Bentham Science Publishers. This book was released on 2023-11-30 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on cases and studies of interest to mechanical engineers and industrial technicians. The considered applications in this volume are widely used in several industrial fields particularly in the automotive and aviation industries. Readers will understand the theory and techniques which are used in each application covered in each chapter. Volume 2 includes the following topics: Numerical investigation of turbulent slot jets with various nanoparticle shapes Experimental study on a sweeping gas membrane distillation unit Development of design processes for multi-spindle drilling using a neural network and expert systems Experimental investigation of a new hybrid solar collector (PV/t) system Theoretical study of the effects of combustion duration on engine performance Effects of preheating temperature and fuel-air equivalence ratio on pollution control in hydrocarbon combustion Numerical study of natural convection between two concentric ellipses with different shapes and imposed temperatures Theoretical study of the geometrical parameters effect on the behavior of a solar chimney power plant Numerical investigations of the effect of packed bed porosity on the flow behavior Comparison between a conventional and a four-stage Savonius wind rotor The presented case studies and development approaches aim to provide readers with basic and applied information broadly related to mechanical engineering and technology.

Download or read book Machine Elements written by Boris M. Klebanov and published by CRC Press. This book was released on 2007-09-14 with total page 454 pages. Available in PDF, EPUB and Kindle. Book excerpt: Focusing on how a machine "feels" and behaves while operating, Machine Elements: Life and Design seeks to impart both intellectual and emotional comprehension regarding the "life" of a machine. It presents a detailed description of how machines elements function, seeking to form a sympathetic attitude toward the machine and to ensure its wellbeing

Download or read book Introduction to Mechanical Engineering written by J. Paulo Davim and published by Springer. This book was released on 2018-04-28 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook fosters information exchange and discussion on all aspects of introductory matters of modern mechanical engineering from a number of perspectives including: mechanical engineering as a profession, materials and manufacturing processes, machining and machine tools, tribology and surface engineering, solid mechanics, applied and computational mechanics, mechanical design, mechatronics and robotics, fluid mechanics and heat transfer, renewable energies, biomechanics, nanoengineering and nanomechanics. At the end of each chapter, a list of 10 questions (and answers) is provided.

Download or read book The Soul of A New Machine written by Tracy Kidder and published by Back Bay Books. This book was released on 2011-08-23 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tracy Kidder's "riveting" (Washington Post) story of one company's efforts to bring a new microcomputer to market won both the Pulitzer Prize and the National Book Award and has become essential reading for understanding the history of the American tech industry. Computers have changed since 1981, when The Soul of a New Machine first examined the culture of the computer revolution. What has not changed is the feverish pace of the high-tech industry, the go-for-broke approach to business that has caused so many computer companies to win big (or go belly up), and the cult of pursuing mind-bending technological innovations. The Soul of a New Machine is an essential chapter in the history of the machine that revolutionized the world in the twentieth century. "Fascinating...A surprisingly gripping account of people at work." --Wall Street Journal

Download or read book Machine Learning for Engineers written by Ryan G. McClarren and published by Springer Nature. This book was released on 2021-09-21 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: All engineers and applied scientists will need to harness the power of machine learning to solve the highly complex and data intensive problems now emerging. This text teaches state-of-the-art machine learning technologies to students and practicing engineers from the traditionally “analog” disciplines—mechanical, aerospace, chemical, nuclear, and civil. Dr. McClarren examines these technologies from an engineering perspective and illustrates their specific value to engineers by presenting concrete examples based on physical systems. The book proceeds from basic learning models to deep neural networks, gradually increasing readers’ ability to apply modern machine learning techniques to their current work and to prepare them for future, as yet unknown, problems. Rather than taking a black box approach, the author teaches a broad range of techniques while conveying the kinds of problems best addressed by each. Examples and case studies in controls, dynamics, heat transfer, and other engineering applications are implemented in Python and the libraries scikit-learn and tensorflow, demonstrating how readers can apply the most up-to-date methods to their own problems. The book equally benefits undergraduate engineering students who wish to acquire the skills required by future employers, and practicing engineers who wish to expand and update their problem-solving toolkit.