Machine learning

Apply computer vision and machine learning concepts in developing business and industrial applications ?

Get hands-on knowledge of how BERT (Bidirectional Encoder Representations from Transformers) can be used to develop question answering (QA) systems by using natural language processing (NLP) and deep learning.

Discover the capabilities of PySpark and its application in the realm of data science.

Learn how to harness modern deep-learning methods in many contexts.

Leverage machine and deep learning models to build applications on real-time data using PySpark.

Anomaly detection in video surveillance stands at the core of numerous real-world applications that have broad impact and generate significant academic and industrial value.

Delivering AI projects and building an AI organization are two big challenges for enterprises.

Master the new features in PySpark 3.

Understand the current and future research into technologies that underpin the increasing capabilities of automation technologies and their impact on the working world of the future.

This book explains how you can enrich the data you have loaded into Power BI Desktop by accessing a suite of Artificial Intelligence (AI) features.

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

As you move data to the cloud, you need to consider a comprehensive approach to data governance, along with well-defined and agreed-upon policies to ensure your organization meets compliance requirements.

As you move data to the cloud, you need to consider a comprehensive approach to data governance, along with well-defined and agreed-upon policies to ensure your organization meets compliance requirements.

Given the demand for AI and the ubiquity of JavaScript, TensorFlow.

Given the demand for AI and the ubiquity of JavaScript, TensorFlow.

This concise, easy-to-use reference puts one of the most popular frameworks for deep learning research and development at your fingertips.

This concise, easy-to-use reference puts one of the most popular frameworks for deep learning research and development at your fingertips.

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.

Observability is critical for building, changing, and understanding the software that powers complex modern systems.

Observability is critical for building, changing, and understanding the software that powers complex modern systems.

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.