Grigor'ev (533 resultados)

Hardcover. Condición: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Condición: New.

Condición: As New. Unread book in perfect condition.

Hardback. Condición: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Hardcover. Condición: Good. Good+; Contents are tight and clean; Ex-Library; Hard Cover; Paganiniana Pubns; 1983; 0.

Condición: As New. Unread book in perfect condition.

Condición: Good. : Sobaki i zevaki es un libro infantil escrito por O. E. Grigor'ev. Esta edición de tapa dura, publicada por AST, está escrita en ruso y es ideal para niños. El libro cuenta historias encantadoras que capturan la imaginación de los jóvenes lectores. EAN: 9785170602872 Tipo: Libros Categoría: Infantil y Juvenil Título: Sobaki i zevaki Autor: O. E. Grigor'ev Editorial: AST Idioma: ru Formato: tapa dura Año de publicación: 2009.…

Condición: New.

Paperback. Condición: Good. The only way to learn is to practice! In   Machine Learning Bookcamp, you?ll create and deploy Python-based machine learning models for a variety of increasingly challenging projects. Taking you from the basics of machine learning to complex applications such as image and text analysis, each new project builds on what you?ve learned in previous chapters. By the end of the bookcamp, you?ll have built a portfolio of business-relevant machine learning projects that hiring managers will be excited to see. about the technologyMachine learning is an analysis technique for predicting trends and relationships based on historical data. As ML has matured as a discipline, an established set of algorithms has emerged for tackling a wide range of analysis tasks in business and research. By practicing the most important algorithms and techniques, you can quickly gain a footing in this important area. Luckily, that?s exactly what you?ll be doing in   Machine Learning Bookcamp. about the bookIn   Machine Learning Bookcamp  you?ll learn the essentials of machine learning by completing a carefully designed set of real-world projects. Beginning as a novice, you?ll start with the basic concepts of ML before tackling your first challenge: creating a car price predictor using linear regression algorithms. You?ll then advance through increasingly difficult projects, developing your skills to build a churn prediction application, a flight delay calculator, an image classifier, and more. When you?re done working through these fun and informative projects, you?ll have a comprehensive machine learning skill set you can apply to practical on-the-job problems.   what's inside Code fundamental ML algorithms from scratchCollect and clean data for training modelsUse popular Python tools, including NumPy, Pandas, Scikit-Learn, and TensorFlowApply ML to complex datasets with images and textDeploy ML models to a production-ready environment about the readerFor readers with existing programming skills. No previous machine learning experience required. about the author Alexey Grigorev  has more than ten years of experience as a software engineer, and has spent the last six years focused on machine learning. Currently, he works as a lead data scientist at the OLX Group, where he deals with content moderation and image models. He is the author of two other books on using Java for data science and TensorFlow for deep learning.…

Paperback. Condición: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Condición: As New. Unread book in perfect condition.

Paperback. Condición: Good. The only way to learn is to practice! In   Machine Learning Bookcamp, you?ll create and deploy Python-based machine learning models for a variety of increasingly challenging projects. Taking you from the basics of machine learning to complex applications such as image and text analysis, each new project builds on what you?ve learned in previous chapters. By the end of the bookcamp, you?ll have built a portfolio of business-relevant machine learning projects that hiring managers will be excited to see. about the technologyMachine learning is an analysis technique for predicting trends and relationships based on historical data. As ML has matured as a discipline, an established set of algorithms has emerged for tackling a wide range of analysis tasks in business and research. By practicing the most important algorithms and techniques, you can quickly gain a footing in this important area. Luckily, that?s exactly what you?ll be doing in   Machine Learning Bookcamp. about the bookIn   Machine Learning Bookcamp  you?ll learn the essentials of machine learning by completing a carefully designed set of real-world projects. Beginning as a novice, you?ll start with the basic concepts of ML before tackling your first challenge: creating a car price predictor using linear regression algorithms. You?ll then advance through increasingly difficult projects, developing your skills to build a churn prediction application, a flight delay calculator, an image classifier, and more. When you?re done working through these fun and informative projects, you?ll have a comprehensive machine learning skill set you can apply to practical on-the-job problems.   what's inside Code fundamental ML algorithms from scratchCollect and clean data for training modelsUse popular Python tools, including NumPy, Pandas, Scikit-Learn, and TensorFlowApply ML to complex datasets with images and textDeploy ML models to a production-ready environment about the readerFor readers with existing programming skills. No previous machine learning experience required. about the author Alexey Grigorev  has more than ten years of experience as a software engineer, and has spent the last six years focused on machine learning. Currently, he works as a lead data scientist at the OLX Group, where he deals with content moderation and image models. He is the author of two other books on using Java for data science and TensorFlow for deep learning.…

hardcover. Condición: Good. exlibrary hardcover book no dust jacket, usual library marks, has some light reader wear.

Condición: New.

paperback. Condición: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority.

Paperback. Condición: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Condición: New.

Soft cover. Condición: Good. No Jacket. 1st Edition. Worn on spine First Edition first printing thus (i.e. Penguin Biography, 1960) Former bookseller's price in pencil on first page. No markings or inscriptions, pages lightly age-tanned and foxing on inside wrappers, spine darkened with light creasing with tear at bottom. 299pp + 16pp section of b/w photos hors-texte. An old copy but complete.…

Condición: Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Condición: New. In English.

Condición: New. Idioma/Language: Inglés. Encuadernación: rústica The nature of the terrestrial magnetism has been creating a problem in geophysics. This book is devote to the elaboration of the Sutehrland hypothesis of the phenomenon proposed in 1903 and almost forgotten now. He supposed in 1903 and almost forgotten now. He supposed the electric charge redistribution in a celestial body under the action of inhomogeneous mechanical stresses (reaction against gravity) and the magnetic field moment resulted from the axial rotation of the charged body. In this book the effect is estimated quantitatively from the quantum theory point of view among others. To describe the magnetic field, generatd because of the axial roation of electrically charged object, electrodynamics of slowly rotating obsever is developed. Presented are the estimates of planetary electric and magnetic fields created due to both its internal self-gravitation and external tidal influences. The contribution of the effect into the main geomagnetic field is estimated as approximately 10%. Teh contribution into the magnetic moments of giant planets is larger. Also considered are other posible geophysical manifestations of the effect including specific properties of the fair weather electricity and possible eartquake forerunners. *** Nota: Los envíos a España peninsular, Baleares y Canarias se realizan a través de mensajería urgente. No aceptamos pedidos con destino a Ceuta y Melilla.…

Condición: New. In English.

Condición: New. In English.

Condición: New. In English.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New. In English.

Condición: New. In English.

Condición: New. In English.