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Deep Learning

From Big Data to Artificial Intelligence with R

by Stephane Tuffery ...

DEEP LEARNINGA concise and practical exploration of key topics and applications in data scienceIn Deep Learning: From Big Data to Artificial Intelligence with R, expert researcher Dr. Stéphane Tufféry delivers an insightful discussion of the applications of deep learning and big data that focuses on practical instructions on various software tools and deep learning methods relying on three major ... Read more

$82.00 USD

DEEP LEARNINGA concise and practical exploration of key topics and applications in data scienceIn Deep Learning: From Big Data to Artificial Intelligence with R, expert researcher Dr. Stéphane Tufféry delivers an insightful discussion of the applications of deep learning and big data that focuses on practical instructions on various software tools and deep learning methods relying on three major
... Read more
Data Mining and Statistics for Decision Making

by Stéphane Tufféry ...

Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge. Data mining is usually associated with a business or an organization's need to identify trends and profiles, allowing, for example, retailers to discover ... Read more

$93.00 USD

Data mining is the process of automatically searching large volumes of data for models and patterns using computational techniques from statistics, machine learning and information theory; it is the ideal tool for such an extraction of knowledge. Data mining is usually associated with a business or an organization's need to identify trends and profiles, allowing, for example, retailers to discover
... Read more

Feature Engineering for Machine Learning

Principles and Techniques for Data Scientists

by Alice Zheng, Amanda Casari ...

Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you’ll learn techniques for extracting and transforming features—the numeric representations of raw data—into formats for machine-learning models. Each chapter guides you through a single data problem, such as how to represent text or image data. Together, ... Read more

$36.99 USD

Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you’ll learn techniques for extracting and transforming features—the numeric representations of raw data—into formats for machine-learning models. Each chapter guides you through a single data problem, such as how to represent text or image data. Together,
... Read more
Machine Learning Algorithms

A reference guide to popular algorithms for data science and machine learning

by Giuseppe Bonaccorso ...

Build strong foundation for entering the world of Machine Learning and data science with the help of this comprehensive guideKey Features\[\*\] Get started in the field of Machine Learning with the help of this solid, concept-rich, yet highly practical guide.\[\*\] Your one-stop solution for everything that matters in mastering the whats and whys of Machine Learning algorithms and their ... Read more

$41.99 USD or Free with Kobo Plus

Build strong foundation for entering the world of Machine Learning and data science with the help of this comprehensive guideKey Features\[\*\] Get started in the field of Machine Learning with the help of this solid, concept-rich, yet highly practical guide.\[\*\] Your one-stop solution for everything that matters in mastering the whats and whys of Machine Learning algorithms and their
... Read more
Deep Learning with TensorFlow 2 and Keras

Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API

by Antonio Gulli, Amita Kapoor, Sujit Pal ...

Build machine and deep learning systems with the newly released TensorFlow 2 and Keras for the lab, production, and mobile devicesKey FeaturesIntroduces and then uses TensorFlow 2 and Keras right from the startTeaches key machine and deep learning techniquesUnderstand the fundamentals of deep learning and machine learning through clear explanations and extensive code samplesBook DescriptionDeep ... Read more

$27.99 USD or Free with Kobo Plus

Build machine and deep learning systems with the newly released TensorFlow 2 and Keras for the lab, production, and mobile devicesKey FeaturesIntroduces and then uses TensorFlow 2 and Keras right from the startTeaches key machine and deep learning techniquesUnderstand the fundamentals of deep learning and machine learning through clear explanations and extensive code samplesBook DescriptionDeep
... Read more
Hands-On Computer Vision with TensorFlow 2

Leverage deep learning to create powerful image processing apps with TensorFlow 2.0 and Keras

by Eliot Andres, Benjamin Planche ...

A practical guide to building high performance systems for object detection, segmentation, video processing, smartphone applications, and moreKey FeaturesDiscover how to build, train, and serve your own deep neural networks with TensorFlow 2 and KerasApply modern solutions to a wide range of applications such as object detection and video analysisLearn how to run your models on mobile devices and ... Read more

$27.99 USD or Free with Kobo Plus

A practical guide to building high performance systems for object detection, segmentation, video processing, smartphone applications, and moreKey FeaturesDiscover how to build, train, and serve your own deep neural networks with TensorFlow 2 and KerasApply modern solutions to a wide range of applications such as object detection and video analysisLearn how to run your models on mobile devices and
... Read more
Generative AI with Python and TensorFlow 2

Create images, text, and music with VAEs, GANs, LSTMs, Transformer models

by Joseph Babcock, Raghav Bali ...

This edition is heavily outdated and we have a new edition with PyTorch examples published!Key FeaturesCode examples are in TensorFlow 2, which make it easy for PyTorch users to follow alongLook inside the most famous deep generative models, from GPT to MuseGANLearn to build and adapt your own models in TensorFlow 2.xExplore exciting, cutting-edge use cases for deep generative AIBook ... Read more

$50.99 USD or Free with Kobo Plus

This edition is heavily outdated and we have a new edition with PyTorch examples published!Key FeaturesCode examples are in TensorFlow 2, which make it easy for PyTorch users to follow alongLook inside the most famous deep generative models, from GPT to MuseGANLearn to build and adapt your own models in TensorFlow 2.xExplore exciting, cutting-edge use cases for deep generative AIBook
... Read more
Python Machine Learning By Example

The easiest way to get into machine learning

by Yuxi (Hayden) Liu, Ivan Idris ...

Take tiny steps to enter the big world of data science through this interesting guideKey Features\[\*\] Learn the fundamentals of machine learning and build your own intelligent applications\[\*\] Master the art of building your own machine learning systems with this example-based practical guide\[\*\] Work with important classification and regression algorithms and other machine learning ... Read more

$41.99 USD or Free with Kobo Plus

Take tiny steps to enter the big world of data science through this interesting guideKey Features\[\*\] Learn the fundamentals of machine learning and build your own intelligent applications\[\*\] Master the art of building your own machine learning systems with this example-based practical guide\[\*\] Work with important classification and regression algorithms and other machine learning
... Read more
Introduction to Information Retrieval

by Christopher D. Manning, Prabhakar Raghavan, Hinrich Schütze ...

Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the ... Read more

$65.99 USD

Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the
... Read more
Python Deep Learning

Next generation techniques to revolutionize computer vision, AI, speech and data analysis

by Valentino Zocca, Gianmario Spacagna, Daniel Slater, Peter Roelants ...

Take your machine learning skills to the next level by mastering Deep Learning concepts and algorithms using Python.Key Features\[\*\] Explore and create intelligent systems using cutting-edge deep learning techniques\[\*\] Implement deep learning algorithms and work with revolutionary libraries in Python\[\*\] Get real-world examples and easy-to-follow tutorials on Theano, TensorFlow, H2O and ... Read more

$44.99 USD or Free with Kobo Plus

Take your machine learning skills to the next level by mastering Deep Learning concepts and algorithms using Python.Key Features\[\*\] Explore and create intelligent systems using cutting-edge deep learning techniques\[\*\] Implement deep learning algorithms and work with revolutionary libraries in Python\[\*\] Get real-world examples and easy-to-follow tutorials on Theano, TensorFlow, H2O and
... Read more
Learning Deep Learning

Theory and Practice of Neural Networks, Computer Vision, Natural Language Processing, and Transformers Using TensorFlow

by Magnus Ekman ...

NVIDIA's Full-Color Guide to Deep Learning: All You Need to Get Started and Get Results"To enable everyone to be part of this historic revolution requires the democratization of AI knowledge and resources. This book is timely and relevant towards accomplishing these lofty goals."-- From the foreword by Dr. Anima Anandkumar, Bren Professor, Caltech, and Director of ML Research, NVIDIA"Ekman uses a ... Read more

$52.19 USD

NVIDIA's Full-Color Guide to Deep Learning: All You Need to Get Started and Get Results"To enable everyone to be part of this historic revolution requires the democratization of AI knowledge and resources. This book is timely and relevant towards accomplishing these lofty goals."-- From the foreword by Dr. Anima Anandkumar, Bren Professor, Caltech, and Director of ML Research, NVIDIA"Ekman uses a
... Read more
Deep Learning with R for Beginners

Design neural network models in R 3.5 using TensorFlow, Keras, and MXNet

by Mark Hodnett, Joshua F. Wiley, Yuxi (Hayden) Liu, Pablo Maldonado ...

Explore the world of neural networks by building powerful deep learning models using the R ecosystemKey FeaturesGet to grips with the fundamentals of deep learning and neural networksUse R 3.5 and its libraries and APIs to build deep learning models for computer vision and text processingImplement effective deep learning systems in R with the help of end-to-end projectsBook DescriptionDeep ... Read more

$31.99 USD or Free with Kobo Plus

Explore the world of neural networks by building powerful deep learning models using the R ecosystemKey FeaturesGet to grips with the fundamentals of deep learning and neural networksUse R 3.5 and its libraries and APIs to build deep learning models for computer vision and text processingImplement effective deep learning systems in R with the help of end-to-end projectsBook DescriptionDeep
... Read more

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Deep Learning

Data Mining and Statistics for Decision Making

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Feature Engineering for Machine Learning

Machine Learning Algorithms

Deep Learning with TensorFlow 2 and Keras

Hands-On Computer Vision with TensorFlow 2

Generative AI with Python and TensorFlow 2

Python Machine Learning By Example

Introduction to Information Retrieval

Python Deep Learning

Learning Deep Learning

Deep Learning with R for Beginners

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