Machine learning

Simulation and synthesis are core parts of the future of AI and machine learning.

Simulation and synthesis are core parts of the future of AI and machine learning.

This easy-to-use reference for TensorFlow 2 design patterns in Python will help you make informed decisions for various use cases.

This easy-to-use reference for TensorFlow 2 design patterns in Python will help you make informed decisions for various use cases.

We're in the midst of an AI research explosion.

We're in the midst of an AI research explosion.

Turning text into valuable information is essential for businesses looking to gain a competitive advantage.

Turning text into valuable information is essential for businesses looking to gain a competitive advantage.

Over the next few decades, machine learning and data science will transform the finance industry.

Over the next few decades, machine learning and data science will transform the finance industry.

While many introductory guides to AI are calculus books in disguise, this one mostly eschews the math.

With this practical book, AI and machine learning practitioners will learn how to successfully build and deploy data science projects on Amazon Web Services.

With this practical book, AI and machine learning practitioners will learn how to successfully build and deploy data science projects on Amazon Web Services.

Most data scientists and engineers today rely on quality labeled data to train machine learning models.

Most data scientists and engineers today rely on quality labeled data to train machine learning models.

Companies are spending billions on machine learning projects, but its money wasted if the models cant be deployed effectively.

Companies are spending billions on machine learning projects, but its money wasted if the models cant be deployed effectively.

Deep learning networks are getting smaller.

Deep learning networks are getting smaller.

Learn the skills necessary to design, build, and deploy applications powered by machine learning (ML).

Learn the skills necessary to design, build, and deploy applications powered by machine learning (ML).

Data is bigger, arrives faster, and comes in a variety of formats?

Data is bigger, arrives faster, and comes in a variety of formats?

If you're training a machine learning model but aren't sure how to put it into production, this book will get you there.

If you're training a machine learning model but aren't sure how to put it into production, this book will get you there.

Machine learning has finally come of age.

Machine learning has finally come of age.

Roughly inspired by the human brain, deep neural networks trained with large amounts of data can solve complex tasks with unprecedented accuracy.

Roughly inspired by the human brain, deep neural networks trained with large amounts of data can solve complex tasks with unprecedented accuracy.

Gain the confidence you need to apply machine learning in your daily work.

Gain the confidence you need to apply machine learning in your daily work.

Building a simple but powerful recommendation system is much easier than you think.

Building a simple but powerful recommendation system is much easier than you think.

Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far.

Although interest in machine learning has reached a high point, lofty expectations often scuttle projects before they get very far.

How we think and react has a direct impact on experience design, but often designers don't understand the "e;whys"e; behind their best practices, leaving them at risk for misusing or underutilizing those designs.

This book presents various machine learning applications in the field of engineering with a focus on deep learning-based machine learning approaches.

This book provides a comprehensive explanation of precision (i.

Vertiefendes Wissen von Deep Learning über Computer Vision bis Natural Language Processing- Schließt die Lücke zwischen Grundlagen und Profiwissen- Einfache, prägnante Erklärungen zu wichtigen und aktuellen Themen- Mit Übungsaufgaben sowie Codebeispielen auf GitHub Sie verfügen bereits über Grundkenntnisse zu maschinellem Lernen und künstlicher Intelligenz, haben aber viele Fragen und wollen tiefer in wesentliche und aktuelle Konzepte eintauchen?

Get up and running with the basics of geographic information systems (GIS), geospatial analysis, and machine learning on spatial data in Python.

Get started with artificial intelligence for medical sciences and psychology.

Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist.

Optimize, develop, and design PyTorch and TensorFlow models for a specific problem using the Microsoft Neural Network Intelligence (NNI) toolkit.

This book will teach you how to build recommender systems with machine learning algorithms using Python.

Get a hands-on introduction to Transformer architecture using the Hugging Face library.

Get up and running with the basics of geographic information systems (GIS), geospatial analysis, and machine learning on spatial data in Python.

Design and develop end-to-end, production-grade computer vision projects for real-world industry problems.

Understand the concepts of image processing with Python 3 and create applications using Raspberry Pi 4.

Welcome to your hands-on guide to artificial intelligence for IT operations (AIOps).

User experience (UX) design practices have seen a fundamental shift as more and more software products incorporate machine learning (ML) components and artificial intelligence (AI) algorithms at their core.