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The Speech Processing Lexicon

In this book, some of today's leading neurolinguists and psycholinguists provide insight into the nature of phonological processing using;

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Ensemble Machine Learning Cookbook

Implement machine learning algorithms to build ensemble models using Keras, H2O, Scikit-Learn, Pandas and more Key Features Apply popular;

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Mastering Azure Machine Learning

Master expert techniques for building automated and highly scalable end-to-end machine learning models and pipelines in Azure using;

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Machine Learning Using R

Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition;

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Statistical Language and Speech Processing

selected from 53 submissions. The papers are organized in topical sections on machine translation, speech and speaker recognition, machine learning;

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Big Data, IoT, and Machine Learning

The idea behind this book is to simplify the journey of aspiring readers and researchers to understand Big Data, IoT and Machine Learning;

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Deploy Machine Learning Models to Production

learning models. The book also illustrates how to build and train machine learning and deep learning models at scale using Kubernetes. The book;

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Hands-On Machine Learning with R

apply the machine learning stack within R, which includes using various R packages such as glmnet, h2o, ranger, xgboost, keras, and others to;

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Machine Learning Applications Using Python

where machine learning has been implemented. Machine Learning Applications Using Python is divided into three sections, one for each of the;

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Mastering .NET Machine Learning

4.6.1, includes examples on ASP.NET Core 1.0 * Set up your business application to start using machine learning techniques * Familiarize the;

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Practical Automated Machine Learning on Azure Using Azure Machine Learning to Quickly Build AI Solutions

Automated Machine Learning using Azure Explore aspects such as algorithm selection, auto featurization, and hyperparameter tuning Understand how;

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Python Machine Learning -

Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries;

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Automated Machine Learning for Business

Teaches the machine learning process for business students and professionals using automated machine learning, a new development in data;

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Automated Machine Learning for Business

Teaches the machine learning process for business students and professionals using automated machine learning, a new development in data;

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Cognitive Computing Recipes

Solve your AI and machine learning problems using complete and real-world code examples. Using a problem-solution approach, this book makes;

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Nature-Inspired Computation in Data Mining and Machine Learning

mining and machine learning. Data mining, machine learning and nature-inspired computation are current hot research topics due to their;

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Nature-Inspired Computation in Data Mining and Machine Learning

mining and machine learning. Data mining, machine learning and nature-inspired computation are current hot research topics due to their;

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Machine Learning with scikit-learn Quick Start Guide

Deploy supervised and unsupervised machine learning algorithms using scikit-learn to perform classification, regression, and clustering;

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Machine Learning with Core ML

required to put machine learning to work in their own applications, using the Core ML APIs What you will learn Understand components of an ML;

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Machine Learning for Oracle Database Professionals

and evaluation Understand Oracle offerings for machine learning Develop machine learning with Oracle database using the built-in machine;

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Colloquial Gujarati

Colloquial Gujarati your best choice in personal language learning? * interactive - lots of dialogues and exercises for regular practice * clear;

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Colloquial Gujarati

Colloquial Gujarati your best choice in personal language learning? * interactive - lots of dialogues and exercises for regular practice * clear;

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Hands-On Machine Learning with C++

Implement supervised and unsupervised machine learning algorithms using C++ libraries such as PyTorch C++ API, Caffe2, Shogun, Shark-ML;

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Building Machine Learning Pipelines Automating Model Life Cycles with Tensorflow

practical guide, Hannes Hapke and Catherine Nelson walk you through the steps of automating a machine learning pipeline using the TensorFlow;

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Android Malware Detection using Machine Learning

for deployment on mobile devices, using machine learning classification on method call sequences. Also, it is resilient to common code;

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Android Malware Detection using Machine Learning

for deployment on mobile devices, using machine learning classification on method call sequences. Also, it is resilient to common code;

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Einde inhoud

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