Rakuten Kobo

Shopping Cart

Item(s) unavailable for purchase

Please review your cart. You can remove the unavailable item(s) now or we'll automatically remove it at Checkout.

itemsitem

- Unlimited access to eBooks
  
  Unlimited access to audiobooks
  
  No commitment, cancel anytime at kobo.com/account/subscriptions
  
  Get 1 credit every month for the audiobook of your choice
  
  No commitment, cancel anytime at kobo.com/account/subscriptions
  
  Unlimited access to eBooks
  
  Unlimited access to audiobooks
  
  No commitment, cancel anytime at kobo.com/account/subscriptions
  Audiobook
  by ,
  
  Available:
  
  . No commitment, cancel anytime at kobo.com/account/subscriptions.
  
  Pre-order
  1 audiobook monthly
  
  + FREE 30-day trial
  
  Special Offer
  
  Get 1 credit every month to exchange for an audiobook of your choice
  
  *No commitment, cancel anytime
  
  FREE

itemsitem

Unlimited access to eBooks

Unlimited access to audiobooks

No commitment, cancel anytime at kobo.com/account/subscriptions

Get 1 credit every month for the audiobook of your choice

No commitment, cancel anytime at kobo.com/account/subscriptions

Unlimited access to eBooks

Unlimited access to audiobooks

No commitment, cancel anytime at kobo.com/account/subscriptions
Audiobook
by ,

Available:
. No commitment, cancel anytime at kobo.com/account/subscriptions.

Pre-order
1 audiobook monthly

+ FREE 30-day trial

Special Offer

Get 1 credit every month to exchange for an audiobook of your choice

*No commitment, cancel anytime

FREE

Recommended For You

Skip side bar filters

Deep Learning for the Life Sciences

Applying Deep Learning to Genomics, Microscopy, Drug Discovery, and More

by Bharath Ramsundar, Peter Eastman, Pat Walters, Vijay Pande ...

Deep learning has already achieved remarkable results in many fields. Now it’s making waves throughout the sciences broadly and the life sciences in particular. This practical book teaches developers and scientists how to use deep learning for genomics, chemistry, biophysics, microscopy, medical analysis, and other fields.Ideal for practicing developers and scientists ready to apply their skills ... Read more

$55.49 USD

Deep learning has already achieved remarkable results in many fields. Now it’s making waves throughout the sciences broadly and the life sciences in particular. This practical book teaches developers and scientists how to use deep learning for genomics, chemistry, biophysics, microscopy, medical analysis, and other fields.Ideal for practicing developers and scientists ready to apply their skills
... Read more
TensorFlow for Deep Learning

From Linear Regression to Reinforcement Learning

by Bharath Ramsundar, Reza Bosagh Zadeh ...

Learn how to solve challenging machine learning problems with TensorFlow, Google’s revolutionary new software library for deep learning. If you have some background in basic linear algebra and calculus, this practical book introduces machine-learning fundamentals by showing you how to design systems capable of detecting objects in images, understanding text, analyzing video, and predicting the ... Read more

$43.19 USD

Learn how to solve challenging machine learning problems with TensorFlow, Google’s revolutionary new software library for deep learning. If you have some background in basic linear algebra and calculus, this practical book introduces machine-learning fundamentals by showing you how to design systems capable of detecting objects in images, understanding text, analyzing video, and predicting the
... Read more

Introduction to Machine Learning with Python

A Guide for Data Scientists

by Andreas C. Müller, Sarah Guido ...

Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your ... Read more

$36.79 USD

Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner, this book will teach you practical ways to build your own machine learning solutions. With all the data available today, machine learning applications are limited only by your
... Read more
Augmented Human

How Technology Is Shaping the New Reality

by Helen Papagiannis ...

Augmented Reality (AR) blurs the boundary between the physical and digital worlds. In AR’s current exploration phase, innovators are beginning to create compelling and contextually rich applications that enhance a user’s everyday experiences. In this book, Dr. Helen Papagiannis—a world-leading expert in the field—introduces you to AR: how it’s evolving, where the opportunities are, and where it’s ... Read more

$24.49 USD

Augmented Reality (AR) blurs the boundary between the physical and digital worlds. In AR’s current exploration phase, innovators are beginning to create compelling and contextually rich applications that enhance a user’s everyday experiences. In this book, Dr. Helen Papagiannis—a world-leading expert in the field—introduces you to AR: how it’s evolving, where the opportunities are, and where it’s
... Read more
Mastering Python Data Visualization

Generate effective results in a variety of visually appealing charts using the plotting packages in Python

by Kirthi Raman ...

Key FeaturesBook DescriptionPython has a handful of open source libraries for numerical computations involving optimization, linear algebra, integration, interpolation, and other special functions using array objects, machine learning, data mining, and plotting. Pandas have a productive environment for data analysis. These libraries have a specific purpose and play an important role in the ... Read more

$41.39 USD or Free with Kobo Plus

Key FeaturesBook DescriptionPython has a handful of open source libraries for numerical computations involving optimization, linear algebra, integration, interpolation, and other special functions using array objects, machine learning, data mining, and plotting. Pandas have a productive environment for data analysis. These libraries have a specific purpose and play an important role in the
... Read more
Practical Machine Learning with H2O

Powerful, Scalable Techniques for Deep Learning and AI

by Darren Cook ...

Machine learning has finally come of age. With H2O software, you can perform machine learning and data analysis using a simple open source framework that’s easy to use, has a wide range of OS and language support, and scales for big data. This hands-on guide teaches you how to use H20 with only minimal math and theory behind the learning algorithms.If you’re familiar with R or Python, know a bit ... Read more

$30.99 USD

Machine learning has finally come of age. With H2O software, you can perform machine learning and data analysis using a simple open source framework that’s easy to use, has a wide range of OS and language support, and scales for big data. This hands-on guide teaches you how to use H20 with only minimal math and theory behind the learning algorithms.If you’re familiar with R or Python, know a bit
... Read more
R High Performance Programming

by Aloysius Lim, William Tjhi ...

0 ... Read more

$18.99 USD or Free with Kobo Plus

0
... Read more
Advanced Analytics with Spark

Patterns for Learning from Data at Scale

by Sean Owen, Josh Wills, Sandy Ryza, Uri Laserson ...

In the second edition of this practical book, four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark. The authors bring Spark, statistical methods, and real-world data sets together to teach you how to approach analytics problems by example. Updated for Spark 2.1, this edition acts as an introduction to these techniques and other ... Read more

$36.79 USD

In the second edition of this practical book, four Cloudera data scientists present a set of self-contained patterns for performing large-scale data analysis with Spark. The authors bring Spark, statistical methods, and real-world data sets together to teach you how to approach analytics problems by example. Updated for Spark 2.1, this edition acts as an introduction to these techniques and other
... Read more
Developments in Language Theory

20th International Conference, DLT 2016, Montréal, Canada, July 25-28, 2016, Proceedings

Edited by Srečko Brlek, Christophe Reutenauer ...

Series series Springer Nature Proceedings Computer Science
This book constitutes the proceedings of the 20th International Conference on Developments in Language Theory, DLT 2016, held in Montreal, QC, Canada, in July 2016.The 32 full papers and 4 abstracts of invited papers presented were carefully reviewed and selected from 48 submissions. This volume presents current developments in formal languages and automata, especially from the following topics ... Read more

$49.49 USD

This book constitutes the proceedings of the 20th International Conference on Developments in Language Theory, DLT 2016, held in Montreal, QC, Canada, in July 2016.The 32 full papers and 4 abstracts of invited papers presented were carefully reviewed and selected from 48 submissions. This volume presents current developments in formal languages and automata, especially from the following topics
... Read more
Handbook of Human Computation

Edited by Pietro Michelucci ...

Series series Computer Science (R0)
This volume addresses the emerging area of human computation, The chapters, written by leading international researchers, explore existing and future opportunities to combine the respective strengths of both humans and machines in order to create powerful problem-solving capabilities. The book bridges scientific communities, capturing and integrating the unique perspective and achievements of each ... Read more

$143.09 USD

This volume addresses the emerging area of human computation, The chapters, written by leading international researchers, explore existing and future opportunities to combine the respective strengths of both humans and machines in order to create powerful problem-solving capabilities. The book bridges scientific communities, capturing and integrating the unique perspective and achievements of each
... Read more
Developments in Language Theory

21st International Conference, DLT 2017, Liège, Belgium, August 7-11, 2017, Proceedings

Edited by Émilie Charlier, Julien Leroy, Michel Rigo ...

Series series Springer Nature Proceedings Computer Science
This book constitutes the proceedings of the 21st International Conference on Developments in Language Theory, DLT 2017, held in Liège, Belgium, in August 2017.The 24 full papers and 6 (abstract of) invited papers were carefully reviewed and selected from 47 submissions. The papers cover the following topics and areas: combinatorial and algebraic properties of words and languages; grammars ... Read more

$49.49 USD

This book constitutes the proceedings of the 21st International Conference on Developments in Language Theory, DLT 2017, held in Liège, Belgium, in August 2017.The 24 full papers and 6 (abstract of) invited papers were carefully reviewed and selected from 47 submissions. The papers cover the following topics and areas: combinatorial and algebraic properties of words and languages; grammars
... Read more
Mastering Machine Learning with R

Advanced prediction, algorithms, and learning methods with R 3.x

by Cory Lesmeister, Doug Ortiz, Vikram Dhillon, Miroslav Kopecky ...

Master machine learning techniques with R to deliver insights in complex projectsKey Features\[\*\] Understand and apply machine learning methods using an extensive set of R packages such as XGBOOST\[\*\] Understand the benefits and potential pitfalls of using machine learning methods such as Multi-Class Classification and Unsupervised Learning\[\*\] Implement advanced concepts in machine learning ... Read more

$41.39 USD or Free with Kobo Plus

Master machine learning techniques with R to deliver insights in complex projectsKey Features\[\*\] Understand and apply machine learning methods using an extensive set of R packages such as XGBOOST\[\*\] Understand the benefits and potential pitfalls of using machine learning methods such as Multi-Class Classification and Unsupervised Learning\[\*\] Implement advanced concepts in machine learning
... Read more

Rakuten Kobo

eReaders

Apps

Accessories

What is Kobo Super Points?

Reward Yourself

Shopping Cart

You're getting the VIP treatment!

Your Shopping Cart is empty

Available:

1 audiobook monthly

+ FREE 30-day trial

Available:

1 audiobook monthly

+ FREE 30-day trial

Recommended For You

“bharath ramsundar”

Deep Learning for the Life Sciences

TensorFlow for Deep Learning

People who read these also enjoyed

Introduction to Machine Learning with Python

Augmented Human

Mastering Python Data Visualization

Practical Machine Learning with H2O

R High Performance Programming

Advanced Analytics with Spark

Developments in Language Theory

Handbook of Human Computation

Developments in Language Theory

Mastering Machine Learning with R

eReaders

Apps

Accessories

Shopping Cart

You're getting the VIP treatment!

Your Shopping Cart is empty

Available:

1 audiobook monthly

+ FREE 30-day trial

Available:

1 audiobook monthly

+ FREE 30-day trial

Recommended For You

“bharath ramsundar”

Show:

People who read these also enjoyed