Автор: Gering Jacquie Название: Walk 2.0: More Machine Quilting with Your Walking Foot ISBN: 1940655439 ISBN-13(EAN): 9781940655437 Издательство: Hachette Book Group Рейтинг: Цена: 3993.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Kick "Quilt as Desired" to the curb with this practical guide to machine quilting using your walking foot by bestselling author and international instructor Jacquie Gering
In Jacquie Gering's follow-up to her bestselling Walk, she offers new patterns to take your walking-foot quilting to the next level. Based on survey responses from her students, she includes examples of the same quilt top quilted in different designs to help you select the quilting patterns that are just right for your latest finished project. Packed with more point-to-point designs, sashiko-inspired machine quilting, and innovative repeated concentric simple shapes, Walk 2.0will appeal to any quilter who wants the control of a walking foot, but the look of beautiful custom quilting.
Автор: Kress, Adrienne Название: Lost ones (bendy and the ink machine, book 2) ISBN: 1338572210 ISBN-13(EAN): 9781338572216 Издательство: Scholastic Рейтинг: Цена: 1527.00 р. Наличие на складе: Есть (2 шт.) Описание: A twisted tale from the world of the hit horror video game, Bendyand the Ink Machine!
Автор: Christopher M. Bishop Название: Pattern Recognition and Machine Learning ISBN: 0387310738 ISBN-13(EAN): 9780387310732 Издательство: Springer Рейтинг: Цена: 10366.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Familiarity with multivariate calculus and basic linear algebra is required, and some experience in the use of probabilities would be helpful though not essential as the book includes a self-contained introduction to basic probability theory.
Автор: Lewis Michael Название: The big short: inside the doomsday machine ISBN: 0393338827 ISBN-13(EAN): 9780393338829 Издательство: Wiley Рейтинг: Цена: 1541.00 р. Наличие на складе: Заказано в издательстве.
Описание: The real story of the crash began in bizarre feeder markets where the sun doesn't shine and the SEC doesn't dare, or bother, to tread: the bond and real estate derivative markets where geeks invent impenetrable securities to profit from the misery of lower- and middle-class Americans who can't pay their debts. The smart people who understood what was or might be happening were paralyzed by hope and fear; in any case, they weren't talking.Michael Lewis creates a fresh, character-driven narrative brimming with indignation and dark humor, a fitting sequel to his #1 bestseller Liar's Poker. Out of a handful of unlikely-really unlikely-heroes, Lewis fashions a story as compelling and unusual as any of his earlier bestsellers, proving yet again that he is the finest and funniest chronicler of our time.
Автор: Kevin Murphy Название: Machine Learning ISBN: 0262018020 ISBN-13(EAN): 9780262018029 Издательство: Random House (USA) Рейтинг: Цена: 17243.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
A comprehensive introduction to machine learning that uses probabilistic models and inference as a unifying approach.
Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically detect patterns in data and then use the uncovered patterns to predict future data. This textbook offers a comprehensive and self-contained introduction to the field of machine learning, based on a unified, probabilistic approach.
The coverage combines breadth and depth, offering necessary background material on such topics as probability, optimization, and linear algebra as well as discussion of recent developments in the field, including conditional random fields, L1 regularization, and deep learning. The book is written in an informal, accessible style, complete with pseudo-code for the most important algorithms. All topics are copiously illustrated with color images and worked examples drawn from such application domains as biology, text processing, computer vision, and robotics. Rather than providing a cookbook of different heuristic methods, the book stresses a principled model-based approach, often using the language of graphical models to specify models in a concise and intuitive way. Almost all the models described have been implemented in a MATLAB software package -- PMTK (probabilistic modeling toolkit) -- that is freely available online. The book is suitable for upper-level undergraduates with an introductory-level college math background and beginning graduate students.
Автор: Make It Yourself Magazine Название: Simple Sewing Projects: Quick-Stitch Designs for Sewing by Hand and Machine ISBN: 1681882868 ISBN-13(EAN): 9781681882864 Издательство: Неизвестно Рейтинг: Цена: 2414.00 р. 3449.00-30% Наличие на складе: Есть (2 шт.) Описание: From Make It Yourself magazine comes Simple Sewing, an all-inclusive introduction to sewing. Make It Yourself serves the new generation of crafters captivated by Etsy and Pinterest, inspiring them to try out sewing techniques by hand or machine. Whether it's your first time stitching, you're trying to introduce a friend or loved one to the craft, or you just want to brush up and expand your skillset, Simple Sewing Projects is for you. Whether you've been sewing for five weeks or five decades, Simple Sewing Projects features 120+ designs, tutorials, and accompanying patterns accessible to any sewer. The time-honored craft of sewing is a tremendously useful skill--it lets you create pretty and utilitarian pieces that can be given as gifts or used to bring color, texture, and interest to your life. The designs are easy enough for beginners but will also have great appeal to more experienced sewers looking for something fun to whip up in an afternoon or two. Each project is presented with a finished photo; step-by-step instructions, illustrations, and photos; and corresponding patterns where necessary. The look and feel of the book puts a fresh spin on traditional sewing with youthful, on-trend DIY fashion, accessories, and decor. From appliqu affirmation pillows to embroidered jewelry, from five-minute wreaths to dog beds, whether you sew for practical reasons or purely for the satisfaction of making something by hand, Simple Sewing Projects will inspire you to get stitching. Just some of the projects: Pillows & Throws Denim Grommet Pillow, Recycled Sweater Throw, Rosette Pillow Home Dec & Accessories Embroidered Tea Towels, Monogrammed Cards, Embroidered Coasters Purses, Bags & Personal Accessories Denim Tote, Fabric Clutch, Embroidered Scarf Kids & Pets Girl's Ruffle Skirt, Fabric Bunting, Dog's Food and Drink Mat and Cushions Simple Storage Reusable Snack and Sandwich Bags, Felt Pencil Case, Make-in-Minutes Jewelry Bag Notions & Pincushions Donut Pincushions, Circle Sewing Bag, Stuffed Mushroom Case Holiday Projects Napkin Rings, Make-in-Minutes Gift Tags, Stockings
Описание: Bendy and the Ink Machine is a horror game that begins in the fardays of animation`s past and ends in a very dark future. Explorethe world with this creepy in-world handbook!
Автор: Guido Sarah Название: Introduction to Machine Learning with Python ISBN: 1449369413 ISBN-13(EAN): 9781449369415 Издательство: Wiley Рейтинг: Цена: 7602.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions.
Автор: Raschka, Sebastian Mirjalili, Vahid Название: Python machine learning - ISBN: 1787125939 ISBN-13(EAN): 9781787125933 Издательство: Неизвестно Цена: 8458.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This second edition of Python Machine Learning by Sebastian Raschka is for developers and data scientists looking for a practical approach to machine learning and deep learning. In this updated edition, you`ll explore the machine learning process using Python and the latest open source technologies, including scikit-learn and TensorFlow 1.x.
Автор: Hunt, Roderick Название: Oxford reading tree: stage 8: stories: the rainbow machine ISBN: 0198483368 ISBN-13(EAN): 9780198483366 Издательство: Oxford Academ Рейтинг: Цена: 1645.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The Level 8 Biff, Chip and Kipper Stories provide humorous storylines to engage and motivate children. The popular characters and familiar settings are brought to life by Roderick Hunt and Alex Brychta. The stories are unchanged from the previous edition but the cover notes have been updated to support adults in sharing the story with the child.
Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data.
The updated edition of this practical book uses concrete examples, minimal theory, and three production-ready Python frameworks--scikit-learn, Keras, and TensorFlow--to help you gain an intuitive understanding of the concepts and tools for building intelligent systems. You'll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you've learned, all you need is programming experience to get started.
Автор: Misra, Siddharth Название: Machine Learning for Subsurface Characterization ISBN: 0128177365 ISBN-13(EAN): 9780128177365 Издательство: Elsevier Science Рейтинг: Цена: 18528.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
To continue to meet demand while keeping costs down, petroleum and reservoir engineers know it is critical to utilize their asset's data through more complex modeling methods, and machine learning and data analytics is the known alternative approach to accurately represent the complexity of fluid-filled rocks. With a lack of training resources available, Machine Learning for Subsurface Characterization focuses on the development and application of neural networks, deep learning, unsupervised learning, reinforcement learning, and clustering methods for subsurface characterization under constraints. Such constraints are encountered during subsurface engineering operations due to financial, operational, regulatory, risk, technological, and environmental challenges.
This reference teaches how to do more with less. Used to develop tools and techniques of data-driven predictive modelling and machine learning for subsurface engineering and science, engineers will be introduced to methods of generating subsurface signals and analyzing the complex relationships within various subsurface signals using machine learning. Algorithmic procedures in MATLAB, R, PYTHON, and TENSORFLOW are displayed in text and through online instructional video to assist training and learning. Field cases are also presented to understand real-world applications, with a particular focus on examples involving shale reservoirs.
Explaining the concept of machine learning, advantages to the industry, and applications applied to complex subsurface rocks, Machine Learning for Subsurface Characterization delivers a missing piece to the reservoir engineer's toolbox needed to support today's complex operations.
Focus on applying predictive modelling and machine learning from real case studies and Q&A sessions at the end of each chapter
Learn how to develop codes such as MATLAB, PYTHON, R, and TENSORFLOW with step-by-step guides included
Visually learn code development with video demonstrations included
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