Vaibhav verdhan (22 Ergebnisse)

Zustand: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.…

paperback. Zustand: Very Good.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Zustand: Brand New. 308 pages. 9.00x6.00x0.75 inches. In Stock.

Paperback. Zustand: Very Good. Minimal wear to cover. Pages clean and binding tight. shelf wear. bumped edges. Paperback.

Zustand: New. 2021. Paperback. . . . . . Books ship from the US and Ireland.

Paperback. Zustand: Brand New. 372 pages. 9.00x6.25x1.00 inches. In Stock.

Zustand: New. 2020. Paperback. . . . . . Books ship from the US and Ireland.

Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New. 2025. 1st Edition. paperback. . . . . . Books ship from the US and Ireland.

Paperback. Zustand: Brand New. 250 pages. 9.25x7.37x0.62 inches. In Stock.

Taschenbuch. Zustand: Neu. Neuware - Discover all-practical implementations of the key algorithms and models for handling unlabeled data. Full of case studies demonstrating how to apply each technique to real-world problems. In Models and Algorithms for Unsupervised Learning you'll learn: Fundamental building blocks and concepts of machine learning and unsupervised learning Data cleaning for structured and unstructured data like text and images Unsupervised time series clustering, Gaussian Mixture models, and statistical methods Building neural networks such as GANs and autoencoders How to interpret the results of unsupervised learning Choosing the right algorithm for your problem Deploying unsupervised learning to production Business use cases for machine learning and unsupervised learning Models and Algorithms for Unsupervised Learning introduces mathematical techniques, key algorithms, and Python implementations that will help you build machine learning models for unannotated data. You'll discover hands-off and unsupervised machine learning approaches that can still untangle raw, real-world datasets and support sound strategic decisions for your business. Don't get bogged down in theory--the book bridges the gap between complex math and practical Python implementations, covering end-to-end model development all the way through to production deployment. Models and Algorithms for Unsupervised Learning teaches you to apply a full spectrum of machine learning algorithms to raw data. You'll master everything from kmeans and hierarchical clustering, to advanced neural networks like GANs and Restricted Boltzmann Machines. You'll learn the business use case for different models, and master best practices for structured, text, and image data. Each new algorithm is introduced with a case study for retail, aviation, banking, and more--and you'll develop a Python solution to fix each of these real-world problems. At the end of each chapter, you'll find quizzes, practice datasets, and links to research papers to help you lock in what you've learned and expand your knowledge. …

Paperback. Zustand: Brand New. 250 pages. 9.25x7.37x0.62 inches. In Stock.

Taschenbuch. Zustand: Neu. Computer Vision Using Deep Learning | Neural Network Architectures with Python and Keras | Vaibhav Verdhan | Taschenbuch | xxi | Englisch | 2021 | Apress | EAN 9781484266151 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Taschenbuch. Zustand: Neu. Supervised Learning with Python | Concepts and Practical Implementation Using Python | Vaibhav Verdhan | Taschenbuch | xx | Englisch | 2020 | Apress | EAN 9781484261552 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 308 | Sprache: Englisch | Produktart: Bücher | Organizations spend huge resources in developing software that can perform the way a human does. Image classification, object detection and tracking, pose estimation, facial recognition, and sentiment estimation all play a major role in solving computer vision problems. This book will bring into focus these and other deep learning architectures and techniques to help you create solutions using Keras and the TensorFlow library. You'll also review mutliple neural network architectures, including LeNet, AlexNet, VGG, Inception, R-CNN, Fast R-CNN, Faster R-CNN, Mask R-CNN, YOLO, and SqueezeNet and see how they work alongside Python code via best practices, tips, tricks, shortcuts, and pitfalls. All code snippets will be broken down and discussed thoroughly so you can implement the same principles in your respective environments.Computer Vision Using Deep Learning offers a comprehensive yet succinct guide that stitches DL and CV together to automate operations, reduce human intervention, increase capability, and cut the costs. What You'll LearnExamine deep learning code and concepts to apply guiding principals to your own projectsClassify and evaluate various architectures to better understand your options in various use casesGo behind the scenes of basic deep learning functions to find out how they workWho This Book Is ForProfessional practitioners working in the fields of software engineering and data science. A working knowledge of Python is strongly recommended. Students and innovators working on advanced degrees in areas related to computer vision and Deep Learning.…

Taschenbuch. Zustand: Neu. Data Without Labels | Vaibhav Verdhan | Taschenbuch | Kartoniert / Broschiert | Englisch | 2025 | Manning Publications | EAN 9781617298721 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu.

Zustand: New. &Uumlber den AutorVaibhav Verdhan&nbspis a seasoned data science professional with rich experience across geographies and domains. He has led multiple engagements in machine learning and artificial intelligence. A leading indust.

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