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Deep Learning with Structured Data

of all sorts. Deep Learning with Structured Data shows you how to apply powerful deep learning analysis techniques to the kind;

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Introduction to Deep Learning for Healthcare

of features from raw data. Deep learning applied to healthcare is a natural and promising direction with many initial successes. The authors cover;

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Graph Representation Learning

, which has become a dominant and fast-growing paradigm for deep learning with graph data. The book concludes with a synthesis of recent;

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Modern Deep Learning Design and Application Development

studies, this book will ground you in creative, real-world deep learning thinking. Yoüll begin with a structured guide to using Keras, with;

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R Deep Learning Essentials

theoretical concepts of deep learning projects, such as model optimization, overfitting, and data augmentation, together with other advanced topics;

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Hands-On Natural Language Processing with PyTorch 1.x

Become a proficient NLP data scientist by developing deep learning models for NLP and extract valuable insights from structured and;

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Deep Learning for Data Analytics

and Challenges provides readers with a focused approach for the design and implementation of deep learning concepts using data analytics;

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R Deep Learning Essentials

algorithms for unsupervised data using deep learning concepts with R * Master the common problems faced such as overfitting of data, anomalous;

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Deep Learning with R

other previously impossible applications. Deep Learning with R is for developers and data scientists with some R experience who;

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Distributed Data Systems with Azure Databricks

distributed training and deployment of machine learning and deep learning models Learn how ETLs are integrated with Azure Data Factory and Delta Lake;

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MATLAB Deep Learning

Get started with MATLAB for deep learning and AI with this in-depth primer. In this book, you start with machine learning fundamentals;

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Advanced Deep Learning with Python

). Later, you'll use graph neural networks for processing structured data, along with covering meta-learning, which allows you to train neural;

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Deep Learning with TensorFlow

Delve into neural networks, implement deep learning algorithms, and explore layers of data abstraction with the help of this comprehensive;

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Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics

Demystifying Big Data, Machine Learning, and Deep Learning for Healthcare Analytics presents the changing world of data utilization;

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Hands-On Deep Learning with TensorFlow

. About This Book * Explore various possibilities with deep learning and gain amazing insights from data using Google's brainchild-- TensorFlow;

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Deep Learning for Remote Sensing Images with Open Source Software

. However, most people are missing the educational tools to make use of this resource. Deep Learning for Remote Sensing Images with Open Source;

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Deep Learning for Remote Sensing Images with Open Source Software

. However, most people are missing the educational tools to make use of this resource. Deep Learning for Remote Sensing Images with Open Source;

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Machine Learning Pocket Reference Working with Structured Data in Python

learning process and walks you through classification with structured data. You'll also learn methods for clustering, predicting a continuous value;

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Java Deep Learning Essentials

Dive into the future of data science and learn how to build the sophisticated algorithms that are fundamental to deep learning and AI with;

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Deep Learning with Python

recognition, text classification, question answering, text-to-speech, and optical character recognition. Deep Learning with Python;

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Trends in Deep Learning Methodologies

algorithms to handle more data. Deep learning methods can deal with multiple levels of representation in which the system learns to abstract higher;

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R Deep Learning Cookbook

from text, image and speech * Guide to set-up deep learning models using CPU and GPU Who This Book Is For Data science professionals or;

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Deep Learning for Hydrometeorology and Environmental Science

on the artificial neural network. Increasing data availability and computing power enhance applications of deep learning to;

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Deep Learning for Hydrometeorology and Environmental Science

on the artificial neural network. Increasing data availability and computing power enhance applications of deep learning to;

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Deep Learning in Data Analytics

deep learning applications. The book discusses significant issues relating to deep learning in data analytics. Further in-depth reading can be;

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Handbook of Deep Learning in Biomedical Engineering

-level features from large amounts of raw data. Deep Learning methods apply levels of learning to transform input data into more abstract and;

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Deep Learning with R for Beginners

Explore the world of neural networks by building powerful deep learning models using the R ecosystem Key Features Get to grips with the;

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