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A Simple Guide to Data Driven Technologies using Machine Learning and Deep Learning

If you are an active user of statistics to examine trends in your business, then using machine learning is your next best step. It uses;

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R Machine Learning By Example

, you will learn to apply the concepts of machine learning to deal with data-related problems and solve them using the powerful yet simple;

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Machine Learning with R

quickly and easily gain insight from your data. Machine Learning with R, Third Edition provides a hands-on, readable guide to applying machine;

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Deep Learning with TensorFlow

science techniques and technologies, including a basic awareness of computer hardware and algorithms. Some competence in mathematics is needed to;

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Python Machine Learning -

. About This Book * Second edition of the bestselling book on Machine Learning * A practical approach to key frameworks in data science, machine;

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Machine Learning with Apache Spark Quick Start Guide

Data, Distributed Technologies and Machine Learning Learn how to design, develop and interpret the results of common Machine Learning;

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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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Python Machine Learning Cookbook

learning algorithms for classification, clustering, and recommendation engines, using a recipe-based approach. With emphasis on practical solutions;

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Deep Learning with TensorFlow 2 and Keras

intelligently, using one part of a sequence to correctly interpret another Apply deep learning to natural human language and interpret natural language;

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Julia for Data Science

learning framework and build a system using Mocha.jl In Detail Julia is a fast and high performing language that's perfectly suited to data;

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Machine Learning Using R

shows you how to work with a machine-learning algorithm and use it to build a ML model from raw data. You will see how to use R programming with;

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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 with Microsoft Technologies

, and HD Insight to perform machine learning Set up a data science virtual machine and test-drive installed tools, such as Azure ML Workbench;

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Machine Learning with Microsoft Technologies

, Stream Analytics, Azure Databricks, and HD Insight to perform machine learning Set up a data science virtual machine and test-drive installed;

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Python Machine Learning By Example

* Evaluate the performance of a machine learning model and optimize it * Solve interesting real-world problems using machine learning and Python as;

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Deploy Machine Learning Models to Production

Build and deploy machine learning and deep learning models in production with end-to-end examples. This book begins with a focus on the;

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Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits

learning book, you'll have learned how to take a data-driven approach to provide end-to-end machine learning solutions. You'll also have discovered;

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Machine Learning with Scala Quick Start Guide

concepts that make it easy to build scalable and complex big data applications. This book is a handy guide for machine learning developers and data;

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Introduction to Deep Learning Using R

. Introduction to Deep Learning Using R provides a theoretical and practical understanding of the models that perform these tasks by building upon the;

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Learn PySpark

Leverage machine and deep learning models to build applications on real-time data using PySpark. This book is perfect for those who want to;

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Learn PySpark

Leverage machine and deep learning models to build applications on real-time data using PySpark. This book is perfect for those who want to;

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Mastering .NET Machine Learning

technologies. * Explore Big Data , distributed computing, and how to deploy machine learning models to IoT devices - making machines self-learning;

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Hands-On Deep Learning with TensorFlow

about convolutional neural networks, and logistic regression while training models for deep learning to gain key insights into your data;

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Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches

Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches tackles multivariate challenges in process;

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Python Machine Learning

DescriptionPython Machine Learning, Third Edition is a comprehensive guide to machine learning and deep learning with Python. It acts as both a step-by-step;

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Distributed Computing and Artificial Intelligence, Special Sessions II, 15th International Conference

book covers a rather wide area, its intended readership ranges from those working in AI and machine learning technologies to those working on;

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Machine Learning for Subsurface Characterization

." Deep learning (DL) is a subset of machine learning that processes "big data" to construct numerous layers of abstraction to accomplish the;

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