Learning Artificial Intelligence

This thorough audiobook delves deep into the field of AI, examining how OpenAI's ChatGPT is changing the way we interact socially, professionally, and academically. This tutorial is for everyone interested in realizing the full potential of this amazing technology, whether they are business owners, teachers, students, or enthusiasts. This audiobook provides a comprehensive overview of ChatGPT's language model capabilities and its inner workings. You will find cases demonstrating how ChatGPT is influencing several sectors, including customer service, content development, education, and more.

Neuroscientist Explains Brain and AI: How the Brain and AI Learn Via Deep Learning is a captivating exploration of the groundbreaking field of deep learning, presented from both the perspective of human brain function and the rapidly advancing world of artificial intelligence. Author Dr. Tursun Alkam, a neuroscientist with over two decades of experience, guides listeners through the intricacies of neural networks and hierarchical learning, using relatable analogies and real-world examples to make complex concepts accessible to teen and young adult listeners.

Artificial intelligence is a growing field with many possibilities extending in many directions. Artificial intelligence encompasses many terms you may have heard and terms that we will be covering in this book like deep learning, neural networks, and machine learning. Sometimes we hear doubts out there that artificial intelligence will never be as good as humans are at navigating the choices and actions of other humans, but that is not always the case.

This course provides a detailed executive-level review of contemporary topics in supervised machine learning theory with specific focus on predictive modeling and linear regression. The ideal student is a technology professional with a basic working knowledge of machine learning theory. Additionally, to better inform the interested student, the final lesson of this course presents samples in Python describing the essential implementation of described regression methods.

This boxed set includes two titles: Book 1: Machine Learning - This book is an introduction to basic machine learning and artificial intelligence. It gives you a list of applications, and also a few examples of the different types of machine learning. Book 2: Neural Networks - Neural networks are used to model complex patterns for prediction and simulation. It uses the processing pattern used by brain neurons to achieve this. Neural Networks are good at processing complex, non-linear relationships and are used in forecasting, image processing, and character recognition.

Discover and learn all about machine learning in this book. You will understand and learn more about machine learning with the proper frameworks to solve problems. Have you seen or read about the automated driverless cars cruising the road and highways? Don’t you want to learn more about the framework that institutions and companies are using for machine learning?

If you are an active user of statistics to examine trends in your business, then using machine learning is your next best step. It uses advanced predictive algorithms of different aspects of your business to help you make the best possible decision. If you are new to business or thinking about starting a new business, this will also help you lay the groundwork and get ahead of others who are at your same level. It is a fascinating listen recommended for everyone, as it also looks at how machine learning and AI can impact society as a whole.

Dieses Hörbuch ist so aufgebaut, dass Ihnen die Inhalte im Rahmen der geschichtlichen Entwicklung der KI vermittelt werden. Aus diesem Grund beginnt unsere Reise mit dem Punkt "Einführung und geschichtlicher Hintergrund der KI". Im zweiten Abschnitt greifen wir zunächst die anfänglichen Techniken der KI auf. Sie lernen dabei die Konzepte und berühmte Beispielsysteme kennen, die diese frühe Phase der Euphorie auslösten.