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Deep Learning with R, 2nd Edition

Deep Learning with R, 2nd Edition

by Francois Chollet, Tomasz Kalinowski, J. J. Allaire

Deep Learning with R, 2nd Edition shows you how to put deep learning into action. It's based on the revised new edition of François Chollet's bestselling Deep Learning with Python. All code and examples have been expertly translated to the R language by Tomasz Kalinowski, who maintains the Keras and Tensorflow R packages at RStudio. Novices and experienced ML practitioners will love the expert in...

Price:  $59.99  |  Publisher:  Manning  |  Release:  2022

Time Series Analysis with Python Cookbook

Time Series Analysis with Python Cookbook

by Tarek A. Atwan

Time series data is everywhere, available at a high frequency and volume. It is complex and can contain noise, irregularities, and multiple patterns, making it crucial to be well-versed with the techniques covered in this book for data preparation, analysis, and forecasting.This book covers practical techniques for working with time series data, starting with ingesting time series data from various sources ...

Price:  $29.99  |  Publisher:  Packt Publishing  |  Release:  2022

Transformers for Natural Language Processing, 2nd Edition

Transformers for Natural Language Processing, 2nd Edition

by Denis Rothman

Transformers are a game-changer for natural language understanding (NLU) and have become one of the pillars of artificial intelligence.Transformers for Natural Language Processing, 2nd Edition, investigates deep learning for machine translations, speech-to-text, text-to-speech, language modeling, question-answering, and many more NLP domains with transformers.An Industry 4.0 AI specialist needs to be adapta...

Price:  $29.07  |  Publisher:  Packt Publishing  |  Release:  2022

Machine Learning Engineering on AWS

Machine Learning Engineering on AWS

by Joshua Arvin Lat

There is a growing need for professionals with experience in working on machine learning (ML) engineering requirements as well as those with knowledge of automating complex MLOps pipelines in the cloud. This book explores a variety of AWS services, such as Amazon Elastic Kubernetes Service, AWS Glue, AWS Lambda, Amazon Redshift, and AWS Lake Formation, which ML practitioners can leverage to meet various dat...

Price:  $44.99  |  Publisher:  Packt Publishing  |  Release:  2022

Convolutional Neural Networks with Swift for Tensorflow

Convolutional Neural Networks with Swift for Tensorflow

by Brett Koonce

Dive into and apply practical machine learning and dataset categorization techniques while learning Tensorflow and deep learning. This book uses convolutional neural networks to do image recognition all in the familiar and easy to work with Swift language. It begins with a basic machine learning overview and then ramps up to neural networks and convolutions and how they work. Using Swift and Tensorflow, you...

Price:  $29.14  |  Publisher:  Apress  |  Release:  2021

Deep Learning with Swift for TensorFlow

Deep Learning with Swift for TensorFlow

by Rahul Bhalley

Discover more insight about deep learning algorithms with Swift for TensorFlow. The Swift language was designed by Apple for optimized performance and development whereas TensorFlow library was designed by Google for advanced machine learning research. Swift for TensorFlow is a combination of both with support for modern hardware accelerators and more. This book covers the deep learning concepts from fundam...

Price:  $39.13  |  Publisher:  Apress  |  Release:  2021

TensorFlow 2.x in the Colaboratory Cloud

TensorFlow 2.x in the Colaboratory Cloud

by David Paper

Use TensorFlow 2.x with Google's Colaboratory (Colab) product that offers a free cloud service for Python programmers. Colab is especially well suited as a platform for TensorFlow 2.x deep learning applications. You will learn Colab's default install of the most current TensorFlow 2.x along with Colab's easy access to on-demand GPU hardware acceleration in the cloud for fast execution of deep...

Price:  $40.26  |  Publisher:  Apress  |  Release:  2021

Beginning Machine Learning in the Browser

Beginning Machine Learning in the Browser

by Suryadevara Nagender Kumar

Apply Artificial Intelligence techniques in the browser or on resource constrained computing devices. Machine learning (ML) can be an intimidating subject until you know the essentials and for what applications it works. This book takes advantage of the intricacies of the ML processes by using a simple, flexible and portable programming language such as JavaScript to work with more approachable, fundamental...

Price:  $29.04  |  Publisher:  Apress  |  Release:  2021

AI for Healthcare with Keras and Tensorflow 2.0

AI for Healthcare with Keras and Tensorflow 2.0

by Anshik Bansal

Learn how AI impacts the healthcare ecosystem through real-life case studies with TensorFlow 2.0 and other machine learning (ML) libraries.This book begins by explaining the dynamics of the healthcare market, including the role of stakeholders such as healthcare professionals, patients, and payers. Then it moves into the case studies. The case studies start with EHR data and how you can account for sub-popu...

Price:  $36.74  |  Publisher:  Apress  |  Release:  2021

TensorFlow 2 Pocket Reference

TensorFlow 2 Pocket Reference

by KC Tung

This easy-to-use reference for TensorFlow 2 design patterns in Python will help you make informed decisions for various use cases. Author KC Tung addresses common topics and tasks in enterprise data science and machine learning practices rather than focusing on TensorFlow itself.When and why would you feed training data as using NumPy or a streaming dataset? How would you set up cross-validations in the tra...

Price:  $22.01  |  Publisher:  O'Reilly Media  |  Release:  2021

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