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Machine Learning Bundle 2nd Edition

£8.00
£354.85
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Get 15 eBooks worth £354.85
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About this Bundle

Solve complex challenges, create effective data projects and so much more with the Machine Learning Bundle 2nd Edition.

Featuring 15 eBooks, you’ll get to grips with applications such as TensorFlow, Python, R and Go through a series of hands-on and simple to follow guides that are perfect for beginners and those at a more intermediate level.

Explore real-world data sets and practical examples coded in scikit-learn and Keras with Hands-On Ensemble Learning with Python; learn all about deployment strategies and take your ML application from prototype to production-ready with Machine Learning with Go Quick Start Guide; and learn how machine learning can detect fraud, forecast financial trends, analyze customer sentiments and more with Machine Learning for Finance.

Develop, train, tune and deploy neural network models to accelerate model performance in the cloud with Mastering Machine Learning on AWS; learn the basic concepts and calculations to understand how artificial neural networks work with Hands-On Machine Learning with Microsoft Excel 2019; and overcome the common challenges faced while deploying and scaling the machine learning workflows with help from Machine Learning With Go - Second Edition.

Unleash the power of Spark ML along with popular machine learning algorithms to solve complex tasks in Scala through Machine Learning with Scala Quick Start Guide; understand Q-learning algorithms to train neural networks using Markov Decision Process (MDP) with Hands-On Q-Learning with Python; and harness the power of R to build flexible, effective, and transparent machine learning models with Machine Learning with R - Third Edition.

Find easy-to-follow code solutions for tackling common and not-so-common challenges with Python Machine Learning Cookbook - Second Edition; understand what IBM Cloud platform can help you to implement cognitive insights within applications with Hands-On Machine Learning with IBM Watson; and create end-to-end machine learning pipelines using modern libraries from the R ecosystem thanks to Machine Learning with R Quick Start Guide.

Use Python libraries such as TensorFlow and Keras to create smart cognitive actions for your projects with Python Machine Learning By Example - Second Edition; make use of practical examples that show you how to implement different machine learning and deep learning techniques with Hands-On Unsupervised Learning with Python; and implement advanced concepts and popular machine learning algorithms in real-world projects.

The eBooks included in this bundle are available in EPUB, MOBI and PDF formats.

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