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Machine Learning for Oracle Database Professionals

mechanisms for process and deployment. Seasoned database professionals looking to make the leap into machine learning as a growth path will find much;

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Python Machine Learning

Python makes machine learning easy for beginners and experienced developers With computing power increasing exponentially and costs;

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Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough

. Bringing together machine learning, cognitive science and other aspects of artificial intelligence to help provide a roadmap for future research on;

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Machine Learning for iOS Developers

, into mobile devices, most of which can be used in multi-cloud settings. Focusing on Apple's ML services, Machine Learning for iOS Developers;

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Building Machine Learning Systems With Python

This book primarily targets Python developers who want to learn and use Python's machine learning capabilities and gain valuable insights;

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Machine Learning

Dig deep into the data with a hands-on guide to machine learning with updated examples and more! Machine Learning: Hands-On for Developers;

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Machine Learning

Dig deep into the data with a hands-on guide to machine learningMachine Learning: Hands-On for Developers and Technical;

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Building Machine Learning Systems with Python

learning system Discover how Python offers multiple algorithms for modern machine learning systems Explore key Python machine learning libraries;

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Beginning Machine Learning in iOS

. Many applications on iPhone use machine learning: Siri to serve voice-based requests, the Photos app for facial recognition, and Facebook to;

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Practical Machine Learning in JavaScript

, trends, and best practices. What You'll Learn Use the JavaScript framework for ML Build machine learning applications for the web;

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Machine Learning with Core ML

for machine learning model and interpret results for optimized solutions Create and optimize custom layers for unsupported layers Apply CoreML;

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Ensemble Learning for AI Developers

Use ensemble learning techniques and models to improve your machine learning results. Ensemble Learning for AI Developers starts you at;

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Machine Learning for Developers

manner * Implement Machine Learning in the most practical way Who This Book Is For This book will appeal to any developer who wants to;

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Oracle Business Intelligence with Machine Learning

Enterprise, Spatial Maps, and machine learning for advanced visualization and analytics. The machine learning material focuses on learning;

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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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Amazon SageMaker Developer Guide

Amazon SageMaker is a fully managed machine learning service. With Amazon SageMaker, data scientists and developers can quickly and easily;

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Machine Learning with scikit-learn Quick Start Guide

DescriptionScikit-learn is a robust machine learning library for the Python programming language. It provides a set of supervised and unsupervised learning;

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Machine Learning Engineering with Python

with building and deploying robust machine learning solutions. As you advance, you'll explore how to create your own toolsets for training and;

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Mastering .NET Machine Learning

user with some of the more common .NET libraries for machine learning * Implement several common machine learning techniques * Evaluate;

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Machine Learning in Cognitive IoT

). Machine learning is explored by covering all the technical issues and various models used for data analytics during decision making at different;

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Learning Tensorflow.js

learning and the web--provides a hands-on end-to-end approach to TensorFlow.js fundamentals for a broad technical audience that includes data;

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Proceedings of International Conference on Big Data Machine Learning and Applic

This book covers selected high-quality research papers presented at the International Conference on Big Data, Machine Learning, and;

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Neural Machine Translation

and evaluation - including historical, linguistic, and applied context -- then develops the core deep learning methods used for natural;

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Handbook of Research on Applications and Implementations of Machine Learning Techniques

learning algorithms for data analytics. The content within this publication examines disease identification, neural networks, and language support;

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Human-in-the-Loop Machine Learning

. Human-in-the-Loop Machine Learning is a practical guide to optimizing the entire machine learning process, including techniques for annotation;

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Python Machine Learning -

practices to improve and optimize your machine learning systems and algorithms Who This Book Is For If you know some Python and you want to use;

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