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Serverless Machine Learning with Amazon Redshift ML

Create, train, and deploy machine learning models using familiar SQL commands

by Debu Panda, Phil Bates, Bhanu Pittampally, Sumeet Joshi ...

Supercharge and deploy Amazon Redshift Serverless, train and deploy machine learning models using Amazon Redshift ML, and run inference queries at scaleKey FeaturesLeverage supervised learning to build binary classification, multi-class classification, and regression modelsLearn to use unsupervised learning using the K-means clustering methodMaster the art of time series forecasting using Redshift ... Read more

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Supercharge and deploy Amazon Redshift Serverless, train and deploy machine learning models using Amazon Redshift ML, and run inference queries at scaleKey FeaturesLeverage supervised learning to build binary classification, multi-class classification, and regression modelsLearn to use unsupervised learning using the K-means clustering methodMaster the art of time series forecasting using Redshift
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Family Law Statutes

by Phil Bates ...

Series series Routledge Student Statutes
‘Focused content, layout and price - Routledge competes and wins in relation to all of these factors’ - Craig Lind, University of Sussex, UK‘The best value and best format books on the market.’ - Ed Bates, Southampton University, UKRoutledge Student Statutes present all the legislation students need in one easy-to-use volume. Developed in response to feedback from lecturers and students, this book ... Read more

$54.99 USD

‘Focused content, layout and price - Routledge competes and wins in relation to all of these factors’ - Craig Lind, University of Sussex, UK‘The best value and best format books on the market.’ - Ed Bates, Southampton University, UKRoutledge Student Statutes present all the legislation students need in one easy-to-use volume. Developed in response to feedback from lecturers and students, this book
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Programming Collective Intelligence

Building Smart Web 2.0 Applications

by Toby Segaran ...

Want to tap the power behind search rankings, product recommendations, social bookmarking, and online matchmaking? This fascinating book demonstrates how you can build Web 2.0 applications to mine the enormous amount of data created by people on the Internet. With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect ... Read more

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Want to tap the power behind search rankings, product recommendations, social bookmarking, and online matchmaking? This fascinating book demonstrates how you can build Web 2.0 applications to mine the enormous amount of data created by people on the Internet. With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect
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Refactoring Databases

Evolutionary Database Design

by Scott Ambler, Pramod Sadalage ...

Series series Addison-Wesley Signature Series (Fowler)
Refactoring has proven its value in a wide range of development projects–helping software professionals improve system designs, maintainability, extensibility, and performance. Now, for the first time, leading agile methodologist Scott Ambler and renowned consultant Pramodkumar Sadalage introduce powerful refactoring techniques specifically designed for database systems.Ambler and Sadalage ... Read more

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Refactoring has proven its value in a wide range of development projects–helping software professionals improve system designs, maintainability, extensibility, and performance. Now, for the first time, leading agile methodologist Scott Ambler and renowned consultant Pramodkumar Sadalage introduce powerful refactoring techniques specifically designed for database systems.Ambler and Sadalage
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Machine Learning with R

Expert techniques for predictive modeling to solve all your data analysis problems

by Brett Lantz ...

Key FeaturesBook DescriptionUpdated and upgraded to the latest libraries and most modern thinking, Machine Learning with R, Second Edition provides you with a rigorous introduction to this essential skill of professional data science. Without shying away from technical theory, it is written to provide focused and practical knowledge to get you building algorithms and crunching your data, with ... Read more

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Key FeaturesBook DescriptionUpdated and upgraded to the latest libraries and most modern thinking, Machine Learning with R, Second Edition provides you with a rigorous introduction to this essential skill of professional data science. Without shying away from technical theory, it is written to provide focused and practical knowledge to get you building algorithms and crunching your data, with
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Reactive Programming with RxJava

Creating Asynchronous, Event-Based Applications

by Tomasz Nurkiewicz, Ben Christensen ...

In today’s app-driven era, when programs are asynchronous and responsiveness is so vital, reactive programming can help you write code that’s more reliable, easier to scale, and better-performing. With this practical book, Java developers will first learn how to view problems in the reactive way, and then build programs that leverage the best features of this exciting new programming paradigm ... Read more

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In today’s app-driven era, when programs are asynchronous and responsiveness is so vital, reactive programming can help you write code that’s more reliable, easier to scale, and better-performing. With this practical book, Java developers will first learn how to view problems in the reactive way, and then build programs that leverage the best features of this exciting new programming paradigm
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Data Science for Business Professionals

A Practical Guide for Beginners (English Edition)

by Probyto Data Science and Consulting Pvt Ltd ...

The book will initially explain the What-Why of Data Science and the process of solving a Data Science problem. The fundamental concepts of Data Science, such as Statistics, Machine Learning, Business Intelligence, Data pipeline, and Cloud Computing, will also be discussed. All the topics will be explained with an example problem and will show how the industry approaches to solve such a problem. ... Read more

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SQL for Data Analysis

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Python: End-to-end Data Analysis

by Phuong Vothihong, Martin Czygan, Ivan Idris, Magnus Vilhelm Persson, Luiz Felipe Martins ...

Leverage the power of Python to clean, scrape, analyze, and visualize your dataAbout This BookClean, format, and explore your data using the popular Python libraries and get valuable insights from itAnalyze big data sets; create attractive visualizations; manipulate and process various data types using NumPy, SciPy, and matplotlib; and morePacked with easy-to-follow examples to develop advanced ... Read more

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Deep Learning with PyTorch

A practical approach to building neural network models using PyTorch

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Build neural network models in text, vision and advanced analytics using PyTorchKey FeaturesLearn PyTorch for implementing cutting-edge deep learning algorithms.Train your neural networks for higher speed and flexibility and learn how to implement them in various scenarios;Cover various advanced neural network architecture such as ResNet, Inception, DenseNet and more with practical examples;Book ... Read more

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Build neural network models in text, vision and advanced analytics using PyTorchKey FeaturesLearn PyTorch for implementing cutting-edge deep learning algorithms.Train your neural networks for higher speed and flexibility and learn how to implement them in various scenarios;Cover various advanced neural network architecture such as ResNet, Inception, DenseNet and more with practical examples;Book
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Machine Learning with R

Expert techniques for predictive modeling

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Solve real-world data problems with R and machine learningKey FeaturesThird edition of the bestselling, widely acclaimed R machine learning book, updated and improved for R 3.6 and beyondHarness the power of R to build flexible, effective, and transparent machine learning modelsLearn quickly with a clear, hands-on guide by experienced machine learning teacher and practitioner, Brett LantzBook ... Read more

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Learning PySpark

Build data-intensive applications locally and deploy at scale using the combined powers of Python and Spark 2.0

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Build data-intensive applications locally and deploy at scale using the combined powers of Python and Spark 2.0Key Features\[\*\] Learn why and how you can efficiently use Python to process data and build machine learning models in Apache Spark 2.0\[\*\] Develop and deploy efficient, scalable real-time Spark solutions\[\*\] Take your understanding of using Spark with Python to the next level with ... Read more

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Top Series in United States

Routledge Student Statutes

Serverless Machine Learning with Amazon Redshift ML

Family Law Statutes

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Programming Collective Intelligence

Refactoring Databases

Machine Learning with R

Reactive Programming with RxJava

Data Science for Business Professionals

SQL for Data Analysis

Python: End-to-end Data Analysis

Deep Learning with PyTorch

Machine Learning with R

Learning PySpark

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