Showing results for "Machine learning projects for.NET Developers Mathias Brandewinder English"

Machine Learning Projects for .NET Developers shows you how to build smarter .NET applications that learn from data, using simple algorithms and techniques that can be applied to a wide range of real-world problems. You’ll code each project in the familiar setting of Visual Studio, while the machine learning logic uses F#, a language ideally suited to machine learning applications in .NET. If you’re new to F#, this book will give you everything you need to get started. If you’re a...

deploy machine learning models python web app deployment Ready to stop Jupyter and start shipping? Ship Machine Learning Web Apps with Python is your hands-on guide to taking a trained model from a notebook to a live, interactive web interface. Nathan Jansen walks you through every step: setting up a Flask or FastAPI backend, designing a clean frontend with HTML and JavaScript, handling user input, serving predictions in real time, and deploying t...

Machine Learning (ML) practitioners who know how to direct AI with statistical discipline are the ones building reliable production pipelines, while everyone else is still guessing and debugging. ***Prompting Scikit-Learn for Machine Learning***shows you how to translate natural-language intent directly into rigorous, reproducible ML workflows using AI, accelerating every stage from problem framing and data preparation to model deployment and drift management.Rather than treating A...

Machine Learning (ML) practitioners who know how to direct AI with statistical discipline are the ones building reliable production pipelines, while everyone else is still guessing and debugging. Prompting Scikit-Learn for Machine Learning shows you how to translate natural-language intent directly into rigorous, reproducible ML workflows using AI, accelerating every stage from problem framing and data preparation to model deployment and drift management.Rather than treating AI copi...

Since the last two decades, there have been many advancements in the field of Machine Learning. If you are new or want a comprehensive understanding of Machine Learning, then this book is for you. The book starts by explaining how important Machine Learning is today and the technology required to make it work. The book then helps you get familiar with basic concepts that underlie Machine Learning, including basic Python Programming. It explains different types of Machine Learning algorithm...

This book explores how machine learning algorithms can be applied to Industry 4.0 technologies to enhance their capabilities. It discusses how machine learning can be used for predictive maintenance in smart factories, optimizing supply chain management, and improving quality control through advanced data analytics and also:Presents advanced machine learning techniques such as deep learning, reinforcement learning, and ensemble methods specifically tailored for Industry 4.0 a...

"MLflow for Machine Learning Operations""MLflow for Machine Learning Operations" is an authoritative guide that illuminates the principles and practicalities of deploying robust machine learning solutions in modern organizations. It opens with a comprehensive survey of the MLOps landscape, addressing the full lifecycle from experiment tracking and reproducibility, to production governance and compliance. Readers are carefully introduced to the challenges inherent in operationalizin...

Your one-stop guide to becoming a Machine Learning expert.Key Features-Learn to develop efficient and intelligent applications by leveraging the power of Machine Learning- A highly practical guide explaining the concepts of problem solving in the easiest possible manner- Implement Machine Learning in the most practical wayBook DescriptionMost of us have heard about the term Machine Learning, but surprisingly the question freq...

Bring magic to your mobile apps using TensorFlow Lite and Core MLKey FeaturesExplore machine learning using classification, analytics, and detection tasks.Work with image, text and video datasets to delve into real-world tasksBuild apps for Android and iOS using Caffe, Core ML and Tensorflow LiteBook DescriptionMachine learning is a technique that focuses on developing computer programs that can be modified when exposed to ne...

Machine learning is the science of getting machines and computers to act and learn on their own without being programmed explicitly. In just the past decade, this field has given us practical speech recognition, self-driving cars, greatly improved understanding of the overall human genome, effective web search and much more. Therefore, there is no wondering why machine learning is so pervasive today.In this book, you will learn more about interpreting machi...

“Empower Your . NET Journey with Machine Learning”Book DescriptionDive into the world of machine learning for data-driven insights and seamless integration in . NET applications with the Ultimate Machine Learning with ML. NET.The book begins with foundations of ML. NET and seamlessly transitions into practical guidance on installing and configuring it using essential tools like Model Builder and the command-line interface. Next, it dives into the heart of machine learning tas...

A clear and beginner-focused guide to Python and ML fundamentals. Covers coding basics, OOP, and core machine learning methods in a friendly, structured format.Key FeaturesA two-part structure combining Python basics and machine learning for seamless skill-buildingLogical progression designed to reduce learning friction and build strong conceptual clarityHands-on practice with Jupyter notebooks and real datasets to reinforce every key concept t...