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Scala for Machine Learning

Build systems for data processing, machine learning, and deep learning

by Patrick R. Nicolas, Mohammed Rafi ...

Leverage Scala and Machine Learning to study and construct systems that can learn from dataKey Features\[\*\]Explore a broad variety of data processing, machine learning, and genetic algorithms through diagrams, mathematical formulation, and updated source code in Scala\[\*\]Take your expertise in Scala programming to the next level by creating and customizing AI applications\[\*\]Experiment with ... Read more

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Leverage Scala and Machine Learning to study and construct systems that can learn from dataKey Features\[\*\]Explore a broad variety of data processing, machine learning, and genetic algorithms through diagrams, mathematical formulation, and updated source code in Scala\[\*\]Take your expertise in Scala programming to the next level by creating and customizing AI applications\[\*\]Experiment with
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MATLAB for Machine Learning

Practical examples of regression, clustering and neural networks

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Extract patterns and knowledge from your data in easy way using MATLABKey FeaturesGet your first steps into machine learning with the help of this easy-to-follow guideLearn regression, clustering, classification, predictive analytics, artificial neural networks and more with MATLABUnderstand how your data works and identify hidden layers in the data with the power of machine learning.Book ... Read more

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Extract patterns and knowledge from your data in easy way using MATLABKey FeaturesGet your first steps into machine learning with the help of this easy-to-follow guideLearn regression, clustering, classification, predictive analytics, artificial neural networks and more with MATLABUnderstand how your data works and identify hidden layers in the data with the power of machine learning.Book
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Learning Informatica PowerCenter 10.x

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Harness the power and simplicity of Informatica PowerCenter 10.x to build and manage efficient data management solutionsKey Features\[\*\]Master PowerCenter 10.x components to create, execute, monitor, and schedule ETL processes with a practical approach.\[\*\] An ideal guide to building the necessary skills and competencies to become an expert Informatica PowerCenter developer.\[\*\] A ... Read more

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Harness the power and simplicity of Informatica PowerCenter 10.x to build and manage efficient data management solutionsKey Features\[\*\]Master PowerCenter 10.x components to create, execute, monitor, and schedule ETL processes with a practical approach.\[\*\] An ideal guide to building the necessary skills and competencies to become an expert Informatica PowerCenter developer.\[\*\] A
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Optimizing Hadoop for MapReduce

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This book is an example-based tutorial that deals with Optimizing Hadoop for MapReduce job performance. If you are a Hadoop administrator, developer, MapReduce user, or beginner, this book is the best choice available if you wish to optimize your clusters and applications. Having prior knowledge of creating MapReduce applications is not necessary, but will help you better understand the concepts ... Read more

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This book is an example-based tutorial that deals with Optimizing Hadoop for MapReduce job performance. If you are a Hadoop administrator, developer, MapReduce user, or beginner, this book is the best choice available if you wish to optimize your clusters and applications. Having prior knowledge of creating MapReduce applications is not necessary, but will help you better understand the concepts
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Microsoft System Center Data Protection Manager 2012 R2 Cookbook

Over 100 recipes to build your own designs exploring the advanced functionality and features of System Center DPM 2012 R2

by Robert Hedblom, Robert Heldblom ...

Key FeaturesBook DescriptionIf you are a DPM administrator, this book will help you verify your knowledge and provide you with everything you need to know about the 2012 R2 release. No prior knowledge about System Center DPM is required, however some experience of running backups will come in handy.What you will learnProtect file shares, volumes, and catalogues and restore file data to its ... Read more

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Apache Spark 2.x Cookbook

Over 70 cloud-ready recipes for distributed Big Data processing and analytics

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Perform lightning-fast Big Data processing using Apache Spark 2.x with help of this practical guideKey Features\[\*\]Contains quick solutions to solving even the most complex Big Data processing problems using Apache Spark\[\*\]Leverage the power of Apache Spark as a unified compute engine and perform streaming analytics, machine learning and graph processing with ease\[\*\]From installing and ... Read more

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Perform lightning-fast Big Data processing using Apache Spark 2.x with help of this practical guideKey Features\[\*\]Contains quick solutions to solving even the most complex Big Data processing problems using Apache Spark\[\*\]Leverage the power of Apache Spark as a unified compute engine and perform streaming analytics, machine learning and graph processing with ease\[\*\]From installing and
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Learning Apache Apex

Real-time streaming applications with Apex

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R Data Mining

Implement data mining techniques through practical use cases and real-world datasets

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Mine valuable insights from your data using popular tools and techniques in RKey FeaturesUnderstand the basics of data mining and why R is a perfect tool for it.Manipulate your data using popular R packages such as ggplot2, dplyr, and so on to gather valuable business insights from it.Apply effective data mining models to perform regression and classification tasks.Book DescriptionR is widely used ... Read more

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Natural Language Understanding with Python

Combine natural language technology, deep learning, and large language models to create human-like language comprehension in computer systems

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Build advanced NLU systems by utilizing NLP libraries such as NLTK, SpaCy, BERT, and OpenAI; ML libraries like Keras, scikit-learn, pandas, TensorFlow, and NumPy, along with visualization libraries such as Matplotlib and Seaborn. Purchase of the print Kindle book includes a free PDF eBook Key FeaturesMaster NLU concepts from basic text processing to advanced deep learning techniquesExplore ... Read more

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Build advanced NLU systems by utilizing NLP libraries such as NLTK, SpaCy, BERT, and OpenAI; ML libraries like Keras, scikit-learn, pandas, TensorFlow, and NumPy, along with visualization libraries such as Matplotlib and Seaborn. Purchase of the print Kindle book includes a free PDF eBook Key FeaturesMaster NLU concepts from basic text processing to advanced deep learning techniquesExplore
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Data Labeling in Machine Learning with Python

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Take your data preparation, machine learning, and GenAI skills to the next level by learning a range of Python algorithms and tools for data labelingKey FeaturesGenerate labels for regression in scenarios with limited training dataApply generative AI and large language models (LLMs) to explore and label text dataLeverage Python libraries for image, video, and audio data analysis and data ... Read more

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Mastering MongoDB 7.0

Achieve data excellence by unlocking the full potential of MongoDB

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Extending Power BI with Python and R

Perform advanced analysis using the power of analytical languages

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Ingest, transform, manipulate, and visualize your data beyond Power BI's capabilities. Purchase of the print or Kindle book includes a free eBook in PDF format.Key FeaturesDiscover best practices for using Python and R in Power BI by implementing non-trivial codeEnrich your Power BI dashboards using external APIs and machine learning modelsCreate any visualization, as complex as you want, using ... Read more

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Ingest, transform, manipulate, and visualize your data beyond Power BI's capabilities. Purchase of the print or Kindle book includes a free eBook in PDF format.Key FeaturesDiscover best practices for using Python and R in Power BI by implementing non-trivial codeEnrich your Power BI dashboards using external APIs and machine learning modelsCreate any visualization, as complex as you want, using
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Data-Centric Machine Learning with Python

The ultimate guide to engineering and deploying high-quality models based on good data

by Jonas Christensen, Nakul Bajaj, Manmohan Gosada ...

Join the data-centric revolution and master the concepts, techniques, and algorithms shaping the future of AI and ML development, using PythonKey FeaturesGrasp the principles of data centricity and apply them to real-world scenariosGain experience with quality data collection, labeling, and synthetic data creation using PythonDevelop essential skills for building reliable, responsible, and ethical ... Read more

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Join the data-centric revolution and master the concepts, techniques, and algorithms shaping the future of AI and ML development, using PythonKey FeaturesGrasp the principles of data centricity and apply them to real-world scenariosGain experience with quality data collection, labeling, and synthetic data creation using PythonDevelop essential skills for building reliable, responsible, and ethical
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Data Analytics with SAS

Explore your data and get actionable insights with the power of SAS (English Edition)

by Nishant Sidana ...

Data Analytics with SAS is an attempt to learn concepts of Data Analytics with SAS tool. Starting with the fundamentals, the book introduces you to SAS by explaining its architecture, components, libraries and graphical user interface. It then delves into abilities like manipulating and exploring data, where both basic and advanced techniques are covered.The book outlines concepts and functions ... Read more

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Data Analytics with SAS is an attempt to learn concepts of Data Analytics with SAS tool. Starting with the fundamentals, the book introduces you to SAS by explaining its architecture, components, libraries and graphical user interface. It then delves into abilities like manipulating and exploring data, where both basic and advanced techniques are covered.The book outlines concepts and functions
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Mastering MLOps Architecture: From Code to Deployment

Manage the production cycle of continual learning ML models with MLOps (English Edition)

by Raman Jhajj ...

MLOps, a combination of DevOps, data engineering, and machine learning, is crucial for delivering high-quality machine learning results due to the dynamic nature of machine learning data. This book delves into MLOps, covering its core concepts, components, and architecture, demonstrating how MLOps fosters robust and continuously improving machine learning systems.By covering the end-to-end machine ... Read more

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MLOps, a combination of DevOps, data engineering, and machine learning, is crucial for delivering high-quality machine learning results due to the dynamic nature of machine learning data. This book delves into MLOps, covering its core concepts, components, and architecture, demonstrating how MLOps fosters robust and continuously improving machine learning systems.By covering the end-to-end machine
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Deep Learning with Hadoop

Distributed Deep Learning with Large-Scale Data

by Dipayan Dev ...

Build, implement and scale distributed deep learning models for large-scale datasets Key FeaturesGet to grips with the deep learning concepts and set up Hadoop to put them to useImplement and parallelize deep learning models on Hadoop’s YARN frameworkA comprehensive tutorial to distributed deep learning with HadoopBook DescriptionThis book will teach you how to deploy large-scale dataset in deep ... Read more

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Build, implement and scale distributed deep learning models for large-scale datasets Key FeaturesGet to grips with the deep learning concepts and set up Hadoop to put them to useImplement and parallelize deep learning models on Hadoop’s YARN frameworkA comprehensive tutorial to distributed deep learning with HadoopBook DescriptionThis book will teach you how to deploy large-scale dataset in deep
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Advances in Imaging and Electron Physics

by Peter W. Hawkes ...

Series Book 206 - Advances in Imaging and Electron Physics
Advances in Imaging and Electron Physics, Volume 206, merges two long-running serials, Advances in Electronics and Electron Physics and Advances in Optical and Electron Microscopy. The series features extended articles on the physics of electron devices (especially semiconductor devices), particle optics at high and low energies, microlithography, image science, digital image processing, ... Read more

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Advances in Imaging and Electron Physics, Volume 206, merges two long-running serials, Advances in Electronics and Electron Physics and Advances in Optical and Electron Microscopy. The series features extended articles on the physics of electron devices (especially semiconductor devices), particle optics at high and low energies, microlithography, image science, digital image processing,
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Repurposing Legacy Data

Innovative Case Studies

by Jules J. Berman ...

Series series Computer Science Reviews and Trends
Repurposing Legacy Data: Innovative Case Studies takes a look at how data scientists have re-purposed legacy data, whether their own, or legacy data that has been donated to the public domain. Most of the data stored worldwide is legacy data—data created some time in the past, for a particular purpose, and left in obsolete formats. As with keepsakes in an attic, we retain this information thinking ... Read more

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Repurposing Legacy Data: Innovative Case Studies takes a look at how data scientists have re-purposed legacy data, whether their own, or legacy data that has been donated to the public domain. Most of the data stored worldwide is legacy data—data created some time in the past, for a particular purpose, and left in obsolete formats. As with keepsakes in an attic, we retain this information thinking
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Data Mapping for Data Warehouse Design

by Qamar Shahbaz ...

Data mapping in a data warehouse is the process of creating a link between two distinct data models' (source and target) tables/attributes. Data mapping is required at many stages of DW life-cycle to help save processor overhead; every stage has its own unique requirements and challenges. Therefore, many data warehouse professionals want to learn data mapping in order to move from an ETL (extract, ... Read more

PHP2,142.29

Data mapping in a data warehouse is the process of creating a link between two distinct data models' (source and target) tables/attributes. Data mapping is required at many stages of DW life-cycle to help save processor overhead; every stage has its own unique requirements and challenges. Therefore, many data warehouse professionals want to learn data mapping in order to move from an ETL (extract,
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Spark for Data Science

Analyze your data and delve deep into the world of machine learning with the latest Spark version, 2.0

by Srinivas Duvvuri, Bikramaditya Singhal ...

Analyze your data and delve deep into the world of machine learning with the latest Spark version, 2.0Key Features\[\*\] Perform data analysis and build predictive models on huge datasets that leverage Apache Spark\[\*\] Learn to integrate data science algorithms and techniques with the fast and scalable computing features of Spark to address big data challenges\[\*\] Work through practical ... Read more

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Analyze your data and delve deep into the world of machine learning with the latest Spark version, 2.0Key Features\[\*\] Perform data analysis and build predictive models on huge datasets that leverage Apache Spark\[\*\] Learn to integrate data science algorithms and techniques with the fast and scalable computing features of Spark to address big data challenges\[\*\] Work through practical
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Learning Predictive Analytics with Python

Gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with Python

by Ashish Kumar ...

Gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with PythonKey Features\[\*\]A step-by-step guide to predictive modeling including lots of tips, tricks, and best practices\[\*\]Get to grips with the basics of Predictive Analytics with Python\[\*\]Learn how to use the popular predictive modeling algorithms such as Linear ... Read more

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Gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with PythonKey Features\[\*\]A step-by-step guide to predictive modeling including lots of tips, tricks, and best practices\[\*\]Get to grips with the basics of Predictive Analytics with Python\[\*\]Learn how to use the popular predictive modeling algorithms such as Linear
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Recommended For You

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Scala for Machine Learning

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R Data Mining

Natural Language Understanding with Python

Data Labeling in Machine Learning with Python

Data Stewardship in Action

Data Science for Web3

Deep Learning with MXNet Cookbook

Mastering MongoDB 7.0

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Data-Centric Machine Learning with Python

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Mastering MLOps Architecture: From Code to Deployment

Deep Learning with Hadoop

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Repurposing Legacy Data

Data Mapping for Data Warehouse Design

Spark for Data Science

Learning Predictive Analytics with Python