Автор: Chris Mattmann A. Название: Machine Learning with Tensorflow, Second Edition ISBN: 1617297712 ISBN-13(EAN): 9781617297717 Издательство: Неизвестно Цена: 7918.00 р. Наличие на складе: Невозможна поставка. Описание: Updated with new code, new projects, and new chapters, Machine Learning with TensorFlow, Second Edition gives readers a solid foundation in machine-learning concepts and the TensorFlow library. Summary Updated with new code, new projects, and new chapters, Machine Learning with TensorFlow, Second Edition gives readers a solid foundation in machine-learning concepts and the TensorFlow library. Written by NASA JPL Deputy CTO and Principal Data Scientist Chris Mattmann, all examples are accompanied by downloadable Jupyter Notebooks for a hands-on experience coding TensorFlow with Python. New and revised content expands coverage of core machine learning algorithms, and advancements in neural networks such as VGG-Face facial identification classifiers and deep speech classifiers. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Supercharge your data analysis with machine learning ML algorithms automatically improve as they process data, so results get better over time. You don't have to be a mathematician to use ML: Tools like Google's TensorFlow library help with complex calculations so you can focus on getting the answers you need. About the book Machine Learning with TensorFlow, Second Edition is a fully revised guide to building machine learning models using Python and TensorFlow. You'll apply core ML concepts to real-world challenges, such as sentiment analysis, text classification, and image recognition. Hands-on examples illustrate neural network techniques for deep speech processing, facial identification, and auto-encoding with CIFAR-10. What's inside Machine Learning with TensorFlow Choosing the best ML approaches Visualizing algorithms with TensorBoard Sharing results with collaborators Running models in Docker About the reader Requires intermediate Python skills and knowledge of general algebraic concepts like vectors and matrices. Examples use the super-stable 1.15.x branch of TensorFlow and TensorFlow 2.x. About the author Chris Mattmann is the Division Manager of the Artificial Intelligence, Analytics, and Innovation Organization at NASA Jet Propulsion Lab. The first edition of this book was written by Nishant Shukla with Kenneth Fricklas. Table of Contents PART 1 - YOUR MACHINE-LEARNING RIG 1 A machine-learning odyssey 2 TensorFlow essentials PART 2 - CORE LEARNING ALGORITHMS 3 Linear regression and beyond 4 Using regression for call-center volume prediction 5 A gentle introduction to classification 6 Sentiment classification: Large movie-review dataset 7 Automatically clustering data 8 Inferring user activity from Android accelerometer data 9 Hidden Markov models 10 Part-of-speech tagging and word-sense disambiguation PART 3 - THE NEURAL NETWORK PARADIGM 11 A peek into autoencoders 12 Applying autoencoders: The CIFAR-10 image dataset 13 Reinforcement learning 14 Convolutional neural networks 15 Building a real-world CNN: VGG-Face ad VGG-Face Lite 16 Recurrent neural networks 17 LSTMs and automatic speech recognition 18 Sequence-to-sequence models for chatbots 19 Utility landscape
Автор: Shukla, Nikesh Название: Meatspace ISBN: 0007565070 ISBN-13(EAN): 9780007565078 Издательство: HarperCollins UK Рейтинг: Цена: 1451.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The second novel from Costa First Novel Award shortlisted author Nikesh Shukla.
Автор: Shukla, Nikesh Название: Meatspace ISBN: 0008137560 ISBN-13(EAN): 9780008137564 Издательство: HarperCollins UK Цена: 1187.00 р. Наличие на складе: Поставка под заказ.
Описание:
"Meatspace is the greatest book on loneliness since The Catcher in the Rye" - Gary Shteyngart, author of Super Sad True Love Story
Kitab has had a rough few months. His girlfriend left him. He got fired from his job for writing a novel on company time, but the novel didn't sell and now he's burning through his mom's life insurance money. Kitab is reduced to spending all of his time with his brother and roommate Aziz, coming up with ideas for novelty Tumblrs and composing amusing tweets. But now even Aziz has left him, travelling to America to find his online doppelganger.
So what happens when Kitab's only internet namesake turns up on his doorstep and insists that they are meant to be friends?
In a time when we are obsessed with and defined by our online personas, this clever, sharp, and often hilarious novel dares us to question who we are when we're not in cyberspace but in "meatspace," the real world where people actually talk to each other in the flesh.
Автор: Shukla, Kirti Название: Participatory rural appraisal technique for farm women ISBN: 8183567169 ISBN-13(EAN): 9788183567169 Издательство: Неизвестно Рейтинг: Цена: 17654.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Local communities as users of localized natural resources tend to accumulate first hand knowledge about status and functioning of such resources. Such ever-growing store house of knowledge, at the local level exists as powerful information banks scattered amongst local community members. The book discusses a methodology to approach local communities to learn about their rich information systems and appreciate the logic of community involvement and participation as stakeholders, in conservation and preservation of natural resources. The study brings out local communities' knowledge-base, perspectives, experience, problems priorities, livelihood practices, managerial expertise and organizational capabilities in the sphere of natural resources. It explains and illustrates major participatory methods for learning from local communities about localized natural resources. The book also includes analysis of selected participatory processes and reflections on community participation. It describes case studies focused on relationship of local communities with natural resources in the areas of poverty, food insecurity, specie-selection, problemprioritisation, assessment and valuation of benefits, gender, conflict-situation and participatory management of natural resources.
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