Download or read book Machine Design written by and published by . This book was released on 2009 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Visual Thinking for Information Design written by Colin Ware and published by Morgan Kaufmann. This book was released on 2021-03-26 with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: Visual Thinking for Information Design, Second Edition brings the science of perception to the art of design. The book takes what we now know about perception, cognition and attention and transforms it into concrete advice that students and designers can directly apply. It demonstrates how designs can be considered as tools for cognition and extensions of the viewer's brain in much the same way that a hammer is an extension of the user's hand. The book includes hundreds of examples, many in the form of integrated text and full-color diagrams. Renamed from the first edition, Visual Thinking for Design, to more accurately reflect its focus on infographics, this timely revision has been updated throughout and includes more content on pattern perception, the addition of new material illustrating color assimilation, and a new chapter devoted to communicating ideas through images. - Presents visual thinking as a complex process that can be supported in every stage using specific design techniques - Provides practical, task-oriented information for designers and software developers charged with design responsibilities - Includes hundreds of examples, many in the form of integrated text and full-color diagrams - Steeped in the principles of "active vision, which views graphic designs as cognitive tools - Features a new chapter titled Communicating Ideas with Images that focuses on a new emerging theory of human cognition and how that theory, which deals with the construction and refinement of predictive mental models in the mind, provides a solid foundation for reasoning about what should go into a presentation
Download or read book Prune written by Gabrielle Hamilton and published by Random House. This book was released on 2014-11-04 with total page 622 pages. Available in PDF, EPUB and Kindle. Book excerpt: NEW YORK TIMES BESTSELLER From Gabrielle Hamilton, bestselling author of Blood, Bones & Butter, comes her eagerly anticipated cookbook debut filled with signature recipes from her celebrated New York City restaurant Prune. NAMED ONE OF THE BEST BOOKS OF THE YEAR BY PUBLISHERS WEEKLY NAMED ONE OF THE BEST BOOKS OF THE SEASON BY Time • O: The Oprah Magazine • Bon Appétit • Eater A self-trained cook turned James Beard Award–winning chef, Gabrielle Hamilton opened Prune on New York’s Lower East Side fifteen years ago to great acclaim and lines down the block, both of which continue today. A deeply personal and gracious restaurant, in both menu and philosophy, Prune uses the elements of home cooking and elevates them in unexpected ways. The result is delicious food that satisfies on many levels. Highly original in concept, execution, look, and feel, the Prune cookbook is an inspired replica of the restaurant’s kitchen binders. It is written to Gabrielle’s cooks in her distinctive voice, with as much instruction, encouragement, information, and scolding as you would find if you actually came to work at Prune as a line cook. The recipes have been tried, tasted, and tested dozens if not hundreds of times. Intended for the home cook as well as the kitchen professional, the instructions offer a range of signals for cooks—a head’s up on when you have gone too far, things to watch out for that could trip you up, suggestions on how to traverse certain uncomfortable parts of the journey to ultimately help get you to the final destination, an amazing dish. Complete with more than with more than 250 recipes and 250 color photographs, home cooks will find Prune’s most requested recipes—Grilled Head-on Shrimp with Anchovy Butter, Bread Heels and Pan Drippings Salad, Tongue and Octopus with Salsa Verde and Mimosa’d Egg, Roasted Capon on Garlic Crouton, Prune’s famous Bloody Mary (and all 10 variations). Plus, among other items, a chapter entitled “Garbage”—smart ways to repurpose foods that might have hit the garbage or stockpot in other restaurant kitchens but are turned into appetizing bites and notions at Prune. Featured here are the recipes, approach, philosophy, evolution, and nuances that make them distinctively Prune’s. Unconventional and honest, in both tone and content, this book is a welcome expression of the cookbook as we know it. Praise for Prune “Fresh, fascinating . . . entirely pleasurable . . . Since 1999, when the chef Gabrielle Hamilton put Triscuits and canned sardines on the first menu of her East Village bistro, Prune, she has nonchalantly broken countless rules of the food world. The rule that a successful restaurant must breed an empire. The rule that chefs who happen to be women should unconditionally support one another. The rule that great chefs don’t make great writers (with her memoir, Blood, Bones & Butter). And now, the rule that restaurant food has to be simplified and prettied up for home cooks in order to produce a useful, irresistible cookbook. . . . [Prune] is the closest thing to the bulging loose-leaf binder, stuck in a corner of almost every restaurant kitchen, ever to be printed and bound between cloth covers. (These happen to be a beautiful deep, dark magenta.)”—The New York Times “One of the most brilliantly minimalist cookbooks in recent memory . . . at once conveys the thrill of restaurant cooking and the wisdom of the author, while making for a charged reading experience.”—Publishers Weekly (starred review)
Download or read book Amazon SageMaker Best Practices written by Sireesha Muppala and published by Packt Publishing Ltd. This book was released on 2021-09-24 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: Overcome advanced challenges in building end-to-end ML solutions by leveraging the capabilities of Amazon SageMaker for developing and integrating ML models into production Key FeaturesLearn best practices for all phases of building machine learning solutions - from data preparation to monitoring models in productionAutomate end-to-end machine learning workflows with Amazon SageMaker and related AWSDesign, architect, and operate machine learning workloads in the AWS CloudBook Description Amazon SageMaker is a fully managed AWS service that provides the ability to build, train, deploy, and monitor machine learning models. The book begins with a high-level overview of Amazon SageMaker capabilities that map to the various phases of the machine learning process to help set the right foundation. You'll learn efficient tactics to address data science challenges such as processing data at scale, data preparation, connecting to big data pipelines, identifying data bias, running A/B tests, and model explainability using Amazon SageMaker. As you advance, you'll understand how you can tackle the challenge of training at scale, including how to use large data sets while saving costs, monitoring training resources to identify bottlenecks, speeding up long training jobs, and tracking multiple models trained for a common goal. Moving ahead, you'll find out how you can integrate Amazon SageMaker with other AWS to build reliable, cost-optimized, and automated machine learning applications. In addition to this, you'll build ML pipelines integrated with MLOps principles and apply best practices to build secure and performant solutions. By the end of the book, you'll confidently be able to apply Amazon SageMaker's wide range of capabilities to the full spectrum of machine learning workflows. What you will learnPerform data bias detection with AWS Data Wrangler and SageMaker ClarifySpeed up data processing with SageMaker Feature StoreOvercome labeling bias with SageMaker Ground TruthImprove training time with the monitoring and profiling capabilities of SageMaker DebuggerAddress the challenge of model deployment automation with CI/CD using the SageMaker model registryExplore SageMaker Neo for model optimizationImplement data and model quality monitoring with Amazon Model MonitorImprove training time and reduce costs with SageMaker data and model parallelismWho this book is for This book is for expert data scientists responsible for building machine learning applications using Amazon SageMaker. Working knowledge of Amazon SageMaker, machine learning, deep learning, and experience using Jupyter Notebooks and Python is expected. Basic knowledge of AWS related to data, security, and monitoring will help you make the most of the book.
Download or read book Data Engineering with AWS written by Gareth Eagar and published by Packt Publishing Ltd. This book was released on 2021-12-29 with total page 482 pages. Available in PDF, EPUB and Kindle. Book excerpt: The missing expert-led manual for the AWS ecosystem — go from foundations to building data engineering pipelines effortlessly Purchase of the print or Kindle book includes a free eBook in the PDF format. Key Features Learn about common data architectures and modern approaches to generating value from big data Explore AWS tools for ingesting, transforming, and consuming data, and for orchestrating pipelines Learn how to architect and implement data lakes and data lakehouses for big data analytics from a data lakes expert Book DescriptionWritten by a Senior Data Architect with over twenty-five years of experience in the business, Data Engineering for AWS is a book whose sole aim is to make you proficient in using the AWS ecosystem. Using a thorough and hands-on approach to data, this book will give aspiring and new data engineers a solid theoretical and practical foundation to succeed with AWS. As you progress, you’ll be taken through the services and the skills you need to architect and implement data pipelines on AWS. You'll begin by reviewing important data engineering concepts and some of the core AWS services that form a part of the data engineer's toolkit. You'll then architect a data pipeline, review raw data sources, transform the data, and learn how the transformed data is used by various data consumers. You’ll also learn about populating data marts and data warehouses along with how a data lakehouse fits into the picture. Later, you'll be introduced to AWS tools for analyzing data, including those for ad-hoc SQL queries and creating visualizations. In the final chapters, you'll understand how the power of machine learning and artificial intelligence can be used to draw new insights from data. By the end of this AWS book, you'll be able to carry out data engineering tasks and implement a data pipeline on AWS independently.What you will learn Understand data engineering concepts and emerging technologies Ingest streaming data with Amazon Kinesis Data Firehose Optimize, denormalize, and join datasets with AWS Glue Studio Use Amazon S3 events to trigger a Lambda process to transform a file Run complex SQL queries on data lake data using Amazon Athena Load data into a Redshift data warehouse and run queries Create a visualization of your data using Amazon QuickSight Extract sentiment data from a dataset using Amazon Comprehend Who this book is for This book is for data engineers, data analysts, and data architects who are new to AWS and looking to extend their skills to the AWS cloud. Anyone new to data engineering who wants to learn about the foundational concepts while gaining practical experience with common data engineering services on AWS will also find this book useful. A basic understanding of big data-related topics and Python coding will help you get the most out of this book but it’s not a prerequisite. Familiarity with the AWS console and core services will also help you follow along.
Download or read book Draplin Design Co written by Aaron James Draplin and published by Abrams. This book was released on 2016-05-17 with total page 834 pages. Available in PDF, EPUB and Kindle. Book excerpt: A funny, colorful, fascinating tour through the work and life of one of today’s most influential graphic designers. Esquire. Ford Motors. Burton Snowboards. The Obama Administration. While all of these brands are vastly different, they share at least one thing in common: a teeny little bit of Aaron James Draplin. Draplin is one of the new school of influential graphic designers who combine the power of design, social media, entrepreneurship, and DIY aesthetic to create a successful business and way of life. Pretty Much Everything is a mid-career survey of work, case studies, inspiration, road stories, lists, maps, how-tos, and advice. It includes examples of his work—posters, record covers, logos—and presents the process behind his design with projects like Field Notes and the “Things We Love” State Posters. Draplin also offers valuable advice and hilarious commentary that illustrates how much more goes into design than just what appears on the page. With Draplin’s humor and pointed observations on the contemporary design scene, Pretty Much Everything is the complete package.
Download or read book Without a Hitch written by Mary Hollis Huddleston and published by Harper Muse. This book was released on 2021-12-07 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Sweet Home Alabama meets Emily in Paris in this hilarious romp through the world of extravagant southern weddings. When floundering and unlucky-in-love twentysomething Lottie Jones lands a new career as a wedding planner at a top-tier boutique event firm, she begins navigating a cutthroat workplace specializing in over-the-top details, unlimited budgets, and a broad spectrum of taste. Whether planning for parachute landings or wrangling intoxicated groomsmen, she has her hands full at every million-dollar wedding she helps organize. After her boss announces he’s opening a new office, Lottie sees her chance to finally carve out her place—and earn an income that justifies her dating app subscription fees. The weddings get bigger, the clients get wilder, the mishaps get funnier, and the stakes get higher. And Lottie’s forced to discover what she’ll risk for love and how far she’ll go to find herself. Set against the glamorous, ruthless world of high-end Southern weddings and inspired by real events in the authors’ lives, Without a Hitch is a hilarious romp about taking ownership, facing fears, planning your ex-boyfriend’s wedding, and choosing a happy ending that wasn’t what you once expected. Praise for Without a Hitch: “Without a Hitch is a delightfully quirky novel that proves the age-old adage ‘We plan, God laughs.’ Filled with fascinating insights into the world of high-end wedding planning, you can’t help but cheer for Lottie Jones as she learns that you can’t script your life and that, sometimes, the best laid plans are the ones you never make.” —Emily Giffin, #1 New York Times bestselling author of All We Ever Wanted and The Lies that Bind “Put a ring on Without a Hitch—a sweet, Southern confection of a book about what it takes to orchestrate everyone else’s happily ever after when your own heart has been broken. This sneak peek into the world of high-end wedding planning will keep you laughing as Lottie deconstructs the fairy tale and finds her authentic self.” —Jodi Picoult, #1 New York Times bestselling author of Wish You Were Here and The Book of Two Ways “Without a Hitch is a must read. It is absolutely fabulous. As someone who works in the wedding industry, I found this book’s brevity, humor, and the glamorous over-the-top world of Southern Weddings a true joy to read. This is the book you will be gifting to all your friends!” —Mindy Weiss, bestselling author of The Wedding Book Stand-alone novel Book length: 106,000 words Includes discussion questions for book clubs
Download or read book A Is for Art written by Lanaya Gore and published by . This book was released on 2016-07 with total page 56 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Data Science in Production written by Ben Weber and published by . This book was released on 2020 with total page 234 pages. Available in PDF, EPUB and Kindle. Book excerpt: Putting predictive models into production is one of the most direct ways that data scientists can add value to an organization. By learning how to build and deploy scalable model pipelines, data scientists can own more of the model production process and more rapidly deliver data products. This book provides a hands-on approach to scaling up Python code to work in distributed environments in order to build robust pipelines. Readers will learn how to set up machine learning models as web endpoints, serverless functions, and streaming pipelines using multiple cloud environments. It is intended for analytics practitioners with hands-on experience with Python libraries such as Pandas and scikit-learn, and will focus on scaling up prototype models to production. From startups to trillion dollar companies, data science is playing an important role in helping organizations maximize the value of their data. This book helps data scientists to level up their careers by taking ownership of data products with applied examples that demonstrate how to: Translate models developed on a laptop to scalable deployments in the cloud Develop end-to-end systems that automate data science workflows Own a data product from conception to production The accompanying Jupyter notebooks provide examples of scalable pipelines across multiple cloud environments, tools, and libraries (github.com/bgweber/DS_Production). Book Contents Here are the topics covered by Data Science in Production: Chapter 1: Introduction - This chapter will motivate the use of Python and discuss the discipline of applied data science, present the data sets, models, and cloud environments used throughout the book, and provide an overview of automated feature engineering. Chapter 2: Models as Web Endpoints - This chapter shows how to use web endpoints for consuming data and hosting machine learning models as endpoints using the Flask and Gunicorn libraries. We'll start with scikit-learn models and also set up a deep learning endpoint with Keras. Chapter 3: Models as Serverless Functions - This chapter will build upon the previous chapter and show how to set up model endpoints as serverless functions using AWS Lambda and GCP Cloud Functions. Chapter 4: Containers for Reproducible Models - This chapter will show how to use containers for deploying models with Docker. We'll also explore scaling up with ECS and Kubernetes, and building web applications with Plotly Dash. Chapter 5: Workflow Tools for Model Pipelines - This chapter focuses on scheduling automated workflows using Apache Airflow. We'll set up a model that pulls data from BigQuery, applies a model, and saves the results. Chapter 6: PySpark for Batch Modeling - This chapter will introduce readers to PySpark using the community edition of Databricks. We'll build a batch model pipeline that pulls data from a data lake, generates features, applies a model, and stores the results to a No SQL database. Chapter 7: Cloud Dataflow for Batch Modeling - This chapter will introduce the core components of Cloud Dataflow and implement a batch model pipeline for reading data from BigQuery, applying an ML model, and saving the results to Cloud Datastore. Chapter 8: Streaming Model Workflows - This chapter will introduce readers to Kafka and PubSub for streaming messages in a cloud environment. After working through this material, readers will learn how to use these message brokers to create streaming model pipelines with PySpark and Dataflow that provide near real-time predictions. Excerpts of these chapters are available on Medium (@bgweber), and a book sample is available on Leanpub.
Download or read book The Island of Knowledge written by Marcelo Gleiser and published by Civitas Books. This book was released on 2014-06-03 with total page 370 pages. Available in PDF, EPUB and Kindle. Book excerpt: Why discovering the limits to science may be the most powerful discovery of allHow much can we know about the world? In this book, physicist Marcelo Gleiser traces our search for answers to the most fundamental questions of existence, the origin of the universe, the nature of reality, and the limits of knowledge. In so doing, he reaches a provocative conclusion: science, like religion, is fundamentally limited as a tool for understanding the world. As science and its philosophical interpretations advance, we face the unsettling recognition of how much we don't know. Gleiser shows that by aband.
Download or read book The Machine Learning Solutions Architect Handbook written by David Ping and published by Packt Publishing Ltd. This book was released on 2024-04-15 with total page 603 pages. Available in PDF, EPUB and Kindle. Book excerpt: Design, build, and secure scalable machine learning (ML) systems to solve real-world business problems with Python and AWS Purchase of the print or Kindle book includes a free PDF eBook Key Features Go in-depth into the ML lifecycle, from ideation and data management to deployment and scaling Apply risk management techniques in the ML lifecycle and design architectural patterns for various ML platforms and solutions Understand the generative AI lifecycle, its core technologies, and implementation risks Book DescriptionDavid Ping, Head of GenAI and ML Solution Architecture for global industries at AWS, provides expert insights and practical examples to help you become a proficient ML solutions architect, linking technical architecture to business-related skills. You'll learn about ML algorithms, cloud infrastructure, system design, MLOps , and how to apply ML to solve real-world business problems. David explains the generative AI project lifecycle and examines Retrieval Augmented Generation (RAG), an effective architecture pattern for generative AI applications. You’ll also learn about open-source technologies, such as Kubernetes/Kubeflow, for building a data science environment and ML pipelines before building an enterprise ML architecture using AWS. As well as ML risk management and the different stages of AI/ML adoption, the biggest new addition to the handbook is the deep exploration of generative AI. By the end of this book , you’ll have gained a comprehensive understanding of AI/ML across all key aspects, including business use cases, data science, real-world solution architecture, risk management, and governance. You’ll possess the skills to design and construct ML solutions that effectively cater to common use cases and follow established ML architecture patterns, enabling you to excel as a true professional in the field.What you will learn Apply ML methodologies to solve business problems across industries Design a practical enterprise ML platform architecture Gain an understanding of AI risk management frameworks and techniques Build an end-to-end data management architecture using AWS Train large-scale ML models and optimize model inference latency Create a business application using artificial intelligence services and custom models Dive into generative AI with use cases, architecture patterns, and RAG Who this book is for This book is for solutions architects working on ML projects, ML engineers transitioning to ML solution architect roles, and MLOps engineers. Additionally, data scientists and analysts who want to enhance their practical knowledge of ML systems engineering, as well as AI/ML product managers and risk officers who want to gain an understanding of ML solutions and AI risk management, will also find this book useful. A basic knowledge of Python, AWS, linear algebra, probability, and cloud infrastructure is required before you get started with this handbook.
Download or read book Vehicle Maintenance Log Book written by Bri Auto Publication and published by . This book was released on 2020-05-21 with total page 110 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Vehicle Maintenance Log Book features: 6" x 9" matte cover paperback book with 110 pre-formatted pages to record information about maintenance procedures, vehicles service and repairs. Unique present idea for automobile, cars, truck, motorcycle owner, driver, automechanic, mechanic, husband, dad on Birthday or Christmas. Great size to carry with you or keep in your glove box. This logbook helps you to keep track of all essential repairs and maintenance tasks. Log all your Vehicle Procedures on detailed forms like: Oil Changed Rotate / Balance Tires Tire Replaced Wheel Alignment Air Filter Fuel Filter Spark Plugs Brakes Serviced Transmission Wiper Blades Batteries Radiator Belts / Hoses
Download or read book Data Science on AWS written by Chris Fregly and published by "O'Reilly Media, Inc.". This book was released on 2021-04-07 with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt: With this practical book, AI and machine learning practitioners will learn how to successfully build and deploy data science projects on Amazon Web Services. The Amazon AI and machine learning stack unifies data science, data engineering, and application development to help level upyour skills. This guide shows you how to build and run pipelines in the cloud, then integrate the results into applications in minutes instead of days. Throughout the book, authors Chris Fregly and Antje Barth demonstrate how to reduce cost and improve performance. Apply the Amazon AI and ML stack to real-world use cases for natural language processing, computer vision, fraud detection, conversational devices, and more Use automated machine learning to implement a specific subset of use cases with SageMaker Autopilot Dive deep into the complete model development lifecycle for a BERT-based NLP use case including data ingestion, analysis, model training, and deployment Tie everything together into a repeatable machine learning operations pipeline Explore real-time ML, anomaly detection, and streaming analytics on data streams with Amazon Kinesis and Managed Streaming for Apache Kafka Learn security best practices for data science projects and workflows including identity and access management, authentication, authorization, and more
Download or read book Physics of Light and Optics Black White written by Michael Ware and published by Lulu.com. This book was released on 2015 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Handbook of Physics written by Walter Benenson and published by Springer Science & Business Media. This book was released on 2006-01-13 with total page 1183 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Physics is a veritable toolbox for rapid access to a wealth of physics information for everyday use in problem solving, homework, and examinations. This complete reference includes not only the fundamental formulas of physics but also experimental methods used in practice.
Download or read book Alone written by Megan E. Freeman and published by Simon and Schuster. This book was released on 2022-05-03 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: Originally published in hardcover in 2021 by Aladdin.
Download or read book Organizing Creativity written by Daniel Wessel and published by . This book was released on 2010-01-30 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book was written as a help for individual persons who want to organize their creativity, be it for science (incl. engineering and commercial projects), art, or private projects. Its aim is to enlarge your options when having ideas and to improve the chance of realizing creative projects.It is written as a practical handbook and describes how organization can support generating, capturing, collecting (incl. enlarging, restructuring, etc.) and realizing ideas.While creativity "techniques" are dealt with, the focus is on the infrastructure to enable you to capture your fleeting ideas and cultivate them to finally realize them as creative projects.
