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Julia for Machine Learning

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Tanmay Teaches Julia for Beginners

. Tanmay Teaches Julia for Beginners: A Springboard to Machine Learning for All Ages clearly explains the basics of Julia programming and takes a;

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Julia for Data Science

ecosystem of packages * Work with the most powerful open-source libraries for deep learning, data wrangling, and data visualization * Learn about;

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Julia 1.0 Programming Complete Reference Guide

Learn dynamic programming with Julia to build apps for data analysis, visualization, machine learning, and the web Key Features Leverage;

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Julia Programming Projects

applications Learn to perform supervised and unsupervised machine learning and time series analysis with Julia Book DescriptionJulia is a new;

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Practical Machine Learning

working examples using a wide range of machine learning libraries and tools, including Python, R, Julia, and Spark * Comprehensive practical;

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Data-Driven Science and Engineering

trains mathematical scientists and engineers for the next generation of scientific discovery by offering a broad overview of the growing;

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Data Science with Julia

facilities for data science and machine learning work. Features: Covers the core components of Julia as well as packages relevant to the input;

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Data Science with Julia

facilities for data science and machine learning work. Features: Covers the core components of Julia as well as packages relevant;

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Julia High Performance

in Julia 1.0 Book DescriptionJulia is a high-level, high-performance dynamic programming language for numerical computing. If you want to;

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Beginning Julia Programming

Get started with Julia for engineering and numerical computing, especially data science, machine learning, and scientific computing;

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Machine Learning Applications Using Python

Gain practical skills in machine learning for finance, healthcare, and retail. This book uses a hands-on approach by providing case studies;

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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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Julia for Data Science

. Options for Julia IDEs 3. Programming structures and functions 4. Engineering tasks, such as importing, cleaning, formatting and storing data, as;

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Machine Learning for Finance

A guide to advances in machine learning for financial professionals, with working Python code Key Features Explore advances in machine;

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Machine Learning in Industry

learning. It points out the difference between the techniques and their suitability for specific applications. This book also describes different;

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Machine Learning Foundations

the fundamental materials, background, and simple machine learning algorithms, as the preparation for studying machine learning algorithms;

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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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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

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

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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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AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide

and deploy machine learning models to the Amazon Web Services (AWS) cloud Learn all about the AWS services available for machine learning;

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Reinforcement and Systemic Machine Learning for Decision Making

Reinforcement and Systemic Machine Learning for Decision Making explores a newer and growing avenue of machine learning algorithm in the;

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Exam Ref 70-774 Perform Cloud Data Science with Azure Machine Learning

Learning services. Designed for experienced IT professionals ready to advance their status, Exam Ref focuses on the critical thinking and decision;

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Thinking Machines

computing and neural networks. This is the first book that focuses on machine learning accelerators and hardware development for machine learning;

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MATLAB Machine Learning Recipes

pattern recognition, autonomous driving, expert systems, and much more. What you'll learn: How to write code for machine learning, adaptive;

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MATLAB Machine Learning Recipes

pattern recognition, autonomous driving, expert systems, and much more. What you'll learn:How to write code for machine learning, adaptive;

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