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Deep Learning from Scratch

Building with Python from First Principles

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With the resurgence of neural networks in the 2010s, deep learning has become essential for machine learning practitioners and even many software engineers. This book provides a comprehensive introduction for data scientists and software engineers with machine learning experience. You’ll start with deep learning basics and move quickly to the details of important advanced architectures, ... Läs mer

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With the resurgence of neural networks in the 2010s, deep learning has become essential for machine learning practitioners and even many software engineers. This book provides a comprehensive introduction for data scientists and software engineers with machine learning experience. You’ll start with deep learning basics and move quickly to the details of important advanced architectures,
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Natural Language Processing with PyTorch

Build Intelligent Language Applications Using Deep Learning

av Delip Rao, Brian McMahan ...

Natural Language Processing (NLP) provides boundless opportunities for solving problems in artificial intelligence, making products such as Amazon Alexa and Google Translate possible. If you’re a developer or data scientist new to NLP and deep learning, this practical guide shows you how to apply these methods using PyTorch, a Python-based deep learning library.Authors Delip Rao and Brian McMahon ... Läs mer

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Expert Clouds and Applications

Proceedings of ICOECA 2023

Redigerad av I. Jeena Jacob, Selvanayaki Kolandapalayam Shanmugam, Ivan Izonin ...

Serie serie Springer Nature Proceedings excluding Computer Science
The book features original papers from International Conference on Expert Clouds and Applications (ICOECA 2023), organized by RV Institute of Technology and Management, Bangalore, India, during February 9–10, 2023. It covers new research insights on artificial intelligence, big data, cloud computing, sustainability, and knowledge-based expert systems. The book discusses innovative research from ... Läs mer

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The book features original papers from International Conference on Expert Clouds and Applications (ICOECA 2023), organized by RV Institute of Technology and Management, Bangalore, India, during February 9–10, 2023. It covers new research insights on artificial intelligence, big data, cloud computing, sustainability, and knowledge-based expert systems. The book discusses innovative research from
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Serie serie Springer Nature Proceedings excluding Computer Science
This book includes proceedings of the 15th International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS-2021), which took place in Asan, Korea, on July 1-3, 2021. With the proliferation of wireless technologies and electronic devices, there is a fast-growing interest in Ubiquitous and Pervasive Computing (UPC). The UPC enables to create a human-oriented ... Läs mer

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This book features original papers from International Conference on Expert Clouds and Applications (ICOECA 2021), organized by GITAM School of Technology, Bangalore, India during February 18–19, 2021. It covers new research insights on artificial intelligence, big data, cloud computing, sustainability, and knowledge-based expert systems. The book discusses innovative research from all aspects ... Läs mer

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This book features original papers from International Conference on Expert Clouds and Applications (ICOECA 2021), organized by GITAM School of Technology, Bangalore, India during February 18–19, 2021. It covers new research insights on artificial intelligence, big data, cloud computing, sustainability, and knowledge-based expert systems. The book discusses innovative research from all aspects
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Information Systems for Intelligent Systems

Proceedings of ISBM 2025, Volume 7

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Trends in Artificial Intelligence, and Computer Engineering

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Learning Elastic Stack 7.0

Distributed search, analytics, and visualization using Elasticsearch, Logstash, Beats, and Kibana

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A beginner\\'s guide to storing, managing, and analyzing data with the updated features of Elastic 7.0Key FeaturesGain access to new features and updates introduced in Elastic Stack 7.0Grasp the fundamentals of Elastic Stack including Elasticsearch, Logstash, and KibanaExplore useful tips for using Elastic Cloud and deploying Elastic Stack in production environmentsBook DescriptionThe Elastic ... Läs mer

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Mastering pandas

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Perform advanced data manipulation tasks using pandas and become an expert data analyst.Key FeaturesManipulate and analyze your data expertly using the power of pandasWork with missing data and time series data and become a true pandas expertIncludes expert tips and techniques on making your data analysis tasks easierBook Descriptionpandas is a popular Python library used by data scientists and
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Applied Machine Learning and High-Performance Computing on AWS

Accelerate the development of machine learning applications following architectural best practices

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Build, train, and deploy large machine learning models at scale in various domains such as computational fluid dynamics, genomics, autonomous vehicles, and numerical optimization using Amazon SageMakerKey FeaturesUnderstand the need for high-performance computing (HPC)Build, train, and deploy large ML models with billions of parameters using Amazon SageMakerLearn best practices and architectures ... Läs mer

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Build, train, and deploy large machine learning models at scale in various domains such as computational fluid dynamics, genomics, autonomous vehicles, and numerical optimization using Amazon SageMakerKey FeaturesUnderstand the need for high-performance computing (HPC)Build, train, and deploy large ML models with billions of parameters using Amazon SageMakerLearn best practices and architectures
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Mastering PostgreSQL 9.6

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Master the capabilities of PostgreSQL 9.6 to efficiently manage and maintain your database Key Features\[\*\] Your one-stop guide to mastering the advanced concepts in PostgreSQL with ease\[\*\] Master query optimization, replication, and high availability with PostgreSQL\[\*\] Extend the functionalities of PostgreSQL to suit your organizational needs with minimum effortBook DescriptionPostgreSQL ... Läs mer

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Master the capabilities of PostgreSQL 9.6 to efficiently manage and maintain your database Key Features\[\*\] Your one-stop guide to mastering the advanced concepts in PostgreSQL with ease\[\*\] Master query optimization, replication, and high availability with PostgreSQL\[\*\] Extend the functionalities of PostgreSQL to suit your organizational needs with minimum effortBook DescriptionPostgreSQL
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Python Feature Engineering Cookbook

Over 70 recipes for creating, engineering, and transforming features to build machine learning models

av Soledad Galli ...

Create end-to-end, reproducible feature engineering pipelines that can be deployed into production using open-source Python librariesKey FeaturesLearn and implement feature engineering best practicesReinforce your learning with the help of multiple hands-on recipesBuild end-to-end feature engineering pipelines that are performant and reproducibleBook DescriptionFeature engineering, the process of ... Läs mer

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Create end-to-end, reproducible feature engineering pipelines that can be deployed into production using open-source Python librariesKey FeaturesLearn and implement feature engineering best practicesReinforce your learning with the help of multiple hands-on recipesBuild end-to-end feature engineering pipelines that are performant and reproducibleBook DescriptionFeature engineering, the process of
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Python Algorithmic Trading Cookbook

All the recipes you need to implement your own algorithmic trading strategies in Python

av Pushpak Dagade ...

Build a solid foundation in algorithmic trading by developing, testing and executing powerful trading strategies with real market data using PythonKey FeaturesBuild a strong foundation in algorithmic trading by becoming well-versed with the basics of financial marketsDemystify jargon related to understanding and placing multiple types of trading ordersDevise trading strategies and increase your ... Läs mer

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Build a solid foundation in algorithmic trading by developing, testing and executing powerful trading strategies with real market data using PythonKey FeaturesBuild a strong foundation in algorithmic trading by becoming well-versed with the basics of financial marketsDemystify jargon related to understanding and placing multiple types of trading ordersDevise trading strategies and increase your
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Hands-On Graph Analytics with Neo4j

Perform graph processing and visualization techniques using connected data across your enterprise

av Estelle Scifo ...

Discover how to use Neo4j to identify relationships within complex and large graph datasets using graph modeling, graph algorithms, and machine learningKey FeaturesGet up and running with graph analytics with the help of real-world examplesExplore various use cases such as fraud detection, graph-based search, and recommendation systemsGet to grips with the Graph Data Science library with the help ... Läs mer

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Discover how to use Neo4j to identify relationships within complex and large graph datasets using graph modeling, graph algorithms, and machine learningKey FeaturesGet up and running with graph analytics with the help of real-world examplesExplore various use cases such as fraud detection, graph-based search, and recommendation systemsGet to grips with the Graph Data Science library with the help
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Machine Learning with scikit-learn Quick Start Guide

Classification, regression, and clustering techniques in Python

av Kevin Jolly ...

Deploy supervised and unsupervised machine learning algorithms using scikit-learn to perform classification, regression, and clustering.Key FeaturesBuild your first machine learning model using scikit-learnTrain supervised and unsupervised models using popular techniques such as classification, regression and clusteringUnderstand how scikit-learn can be applied to different types of machine ... Läs mer

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Deploy supervised and unsupervised machine learning algorithms using scikit-learn to perform classification, regression, and clustering.Key FeaturesBuild your first machine learning model using scikit-learnTrain supervised and unsupervised models using popular techniques such as classification, regression and clusteringUnderstand how scikit-learn can be applied to different types of machine
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Rekommenderas för dig

Databehandling E-böcker

Deep Learning from Scratch

Natural Language Processing with PyTorch

Expert Clouds and Applications

Innovative Mobile and Internet Services in Ubiquitous Computing

Expert Clouds and Applications

Advancements in Machine Learning and Natural Language Processing: Innovations and Applications

Information Systems for Intelligent Systems

Data Cleaning and Exploration with Machine Learning

Comet for Data Science

Exploring the Impact of Extended Reality (XR) Technologies on Promoting Environmental Sustainability

Deep Learning with PyTorch Lightning

Interactive Visualization and Plotting with Julia

Journey to Become a Google Cloud Machine Learning Engineer

Machine Learning Using TensorFlow Cookbook

Cloud Analytics with Microsoft Azure

Trends in Artificial Intelligence, and Computer Engineering

Learning Elastic Stack 7.0

Mastering pandas

Applied Machine Learning and High-Performance Computing on AWS

Mastering PostgreSQL 9.6

Python Feature Engineering Cookbook

Python Algorithmic Trading Cookbook

Hands-On Graph Analytics with Neo4j

Machine Learning with scikit-learn Quick Start Guide