Practical Full Stack Machine Learning

Practical GraphQL : Learning Full-Stack

📁 Practical GraphQL : Learning Full-Stack GraphQL Development with Projects

✍ Nabendu Biswas 📂 Library 📅 2023 🏛 Apress 🌐 English

Master the query language that is revolutionizing how websites are developed and built. This book is a hands-on guide to GraphQL, and will teach you how to use this open source tool to develop and deploy applications quickly and with minimal fuss. Using a project-based approach, you'll learn how

Machine Learning with the Elastic Stack

📁 Machine Learning with the Elastic Stack

✍ Rich Collier 📂 Library 📅 2019 🏛 Packt Publishing 🌐 English

Practical Machine Learning

📁 Practical Machine Learning

✍ Sunila Gollapudi 📂 Library 📅 2016 🏛 Packt Publishing 🌐 English

<div> <h3>About This Book</h3> <ul><li>Fully-coded working examples using a wide range of machine learning libraries and tools, including Python, R, Julia, and Spark</li> <li>Comprehensive practical solutions taking you into the future of machine learning</li> <li>Go a step further and integrate

Practical Machine Learning

📁 Practical Machine Learning

✍ Ted Dunning and Ellen Friedman 📂 Library 📅 2014 🏛 OReilly Media 🌐 English

<p>Anomaly detection is the detective work of machine learning: finding the unusual, catching the fraud, discovering strange activity in large and complex datasets. But, unlike Sherlock Holmes, you may not know what the puzzle is, much less what suspects you’re looking for. This O’Reilly

Practical Machine Learning

📁 Practical Machine Learning

✍ Ted Dunning and Ellen Friedman 📂 Library 📅 2014 🏛 OReilly Media 🌐 English

<div><p>Building a simple but powerful recommendation system is much easier than you think. Approachable for all levels of expertise, this report explains innovations that make machine learning practical for business production settings—and demonstrates how even a small-scale development team

Practical Machine Learning

📁 Practical Machine Learning

✍ Ted Dunning;Ellen Friedman 📂 Library 📅 2014 🏛 OReilly Media 🌐 English

<div><p>Building a simple but powerful recommendation system is much easier than you think. Approachable for all levels of expertise, this report explains innovations that make machine learning practical for business production settings—and demonstrates how even a small-scale development team