ML.NET Revealed: Simple Tools for Applying Machine Learning to Your Applications

ML.NET Revealed: Simple Tools for Applyi

📁 ML.NET Revealed: Simple Tools for Applying Machine Learning to Your Applications

✍ Sudipta Mukherjee 📂 Library 📅 2021 🏛 Apress 🌐 English

Get introduced to ML.NET, a new open source, cross-platform machine learning framework from Microsoft that is intended to democratize machine learning and enable as many developers as possible. Dive in to learn how ML.NET is designed to encapsulate complex algorithms, making it easy to con

Reliable Machine Learning: Applying SRE

📁 Reliable Machine Learning: Applying SRE Principles to ML in Production. Early Release

✍ Cathy Chen, Niall Murphy, Kranti Parisa, D. Sculley, Todd Underwood 📂 Library 📅 2022 🏛 O'Reilly Media 🌐 English

Whether you are part of a small startup or a planet-spanning megacorp, this practical book shows data scientists, SREs, and business owners how to run ML reliably, effectively, and accountably within your organization. You'll gain insight into everything from how to do model monitoring in p

Hands-On Machine Learning with ML.NET: G

📁 Hands-On Machine Learning with ML.NET: Getting started with Microsoft ML.NET to implement popular machine learning algorithms in C#

✍ Jarred Capellman 📂 Library 📅 2020 🏛 Packt Publishing 🌐 English

Create, train, and evaluate various machine learning models such as regression, classification, and clustering using ML.NET, Entity Framework, and ASP.NET Core <h4>Key Features</h4> <ul><li>Get well-versed with the ML.NET framework and its components and APIs using practical examples <

Hands-On Machine Learning with ML.NET: G

📁 Hands-On Machine Learning with ML.NET: Getting started with Microsoft ML.NET to implement popular machine learning algorithms in C#

✍ Jarred Capellman 📂 Library 📅 2020 🏛 Packt Publishing 🌐 English

Create, train, and evaluate various machine learning models such as regression, classification, and clustering using ML.NET, Entity Framework, and ASP.NET Core <h4>Key Features</h4> <ul><li>Get well-versed with the ML.NET framework and its components and APIs using practical examples <

Reliable Machine Learning: Applying SRE

📁 Reliable Machine Learning: Applying SRE Principles to ML in Production

✍ Cathy Chen, Niall Murphy, Kranti Parisa, D. Sculley, Todd Underwood 📂 Library 📅 2022 🏛 O'Reilly Media 🌐 English

Whether you're part of a small startup or a multinational corporation, this practical book shows data scientists, software and site reliability engineers, product managers, and business owners how to run ML reliably, effectively, and accountably within your organization. You'll gain insight

Applied Machine Learning Explainability

📁 Applied Machine Learning Explainability Techniques: Make ML models explainable and trustworthy for practical applications using LIME, SHAP, and more

✍ Aditya Bhattacharya 📂 Library 📅 2022 🏛 Packt Publishing 🌐 English

Leverage top XAI frameworks to explain your machine learning models with ease and discover best practices and guidelines to build scalable explainable ML systems Key Features <ul><li>Explore various explainability me

ML.NET Revealed: Simple Tools for Applying Machine Learning to Your Applications

✦ Synopsis