What's New in Our Catalog

Updates

A Quick Introduction to Machine Learning | View in the Skills Network Catalog

Machine Learning, a foundational component of Artificial Intelligence, is often shrouded in mystery. This short course will demystify and explain the subject of Machine Learning. In just a few hours, you will be able to understand the concepts and the processes behind this revolutionary technology. Let this course take you into the forefront of the Machine Learning revolution!

PyTorch: Tensor, Dataset and Data Augmentation | View in the Skills Network Catalog

Data preparation plays a crucial role in effectively solving machine learning (ML) problems. PyTorch, a powerful deep learning framework, offers a plethora of tools to make data loading easy. The PyTorch: Tensor, Dataset and Data Augmentation course will provide you with a solid understanding of the basics and core principles of PyTorch, specifically focusing on tensor manipulation, dataset management, and data augmentation techniques.

Linear Regression with PyTorch | View in the Skills Network Catalog

Linear regression is one of the most used technique for prediction. This course will give you a comprehensive understanding of linear regression modelling using the PyTorch framework. Equipped with these skills, you will be prepared to tackle real-world regression problems and utilize PyTorch effectively for predictive analysis tasks. It focuses specifically on the implementation and practical application of linear regression algorithms for predictive analysis. Note, this course is a part of a PyTorch Learning Path, find more in the Prerequisites Section.

Build a Neural Network with PyTorch | View in the Skills Network Catalog

In this course, you will be focusing on how PyTorch creates and Neural Network optimizes models. We will quickly iterate through different aspects of PyTorch Neural Networks, giving you strong foundations and all the prerequisites you need to build deep learning models. Designed for students and professionals interested in machine learning and deep learning, this course offers a comprehensive understanding of the theory and practical applications of building and deploying neural networks. Note, this course is a part of a PyTorch Learning Path, check Prerequisites section.

AI Ethics | View in the Skills Network Catalog

Artificial Intelligence (AI) presents many exciting opportunities for businesses. At the same time it has also put in focus potential ethical problems. In this course on AI Ethics as we delve into today's AI concerns, explore biases, navigate regulations, and learn the concept of trust in the AI world.

Reinforcement Learning and Deep Learning Essentials | View in the Skills Network Catalog

Reinforcement Learning and Deep Learning are more advanced techniques and areas of Machine Learning. These techniques, centred around multi-layer neural networks, are important drivers behind the evolution of Artificial Intelligence (AI). In just a couple of hours, this course will provide a quick introduction to both Reinforcement Learning and Deep Learning and will even get you to apply these techniques in a hands-on exercise.

Introducing AI | View in the Skills Network Catalog

Start your journey into the realm of Artificial Intelligence! Discover its endless possibilities, practical applications, and real-world impact in this captivating beginner-level course. Unveil the future today!

AI Concepts | View in the Skills Network Catalog

Learn the foundational concepts of Artificial Intelligence. Understand and discuss terms like machine learning, deep learning, and neural networks. Become familiar with fields of applications in AI including NLP, speech recognition, computer vision, and self-driving cars. This course is perfect for everyone including professionals, managers, executives and students.

Classification with PyTorch | View in the Skills Network Catalog

Designed for students and enthusiasts, this course equips you with the knowledge and practical skills to build powerful and accurate classification models using PyTorch. It offers a hands-on learning experience, allowing you to apply your knowledge through coding exercises and lessons so by the end of the course, you will possess the skills to build, train, and evaluate classification models using PyTorch. "Classification with PyTorch" is a part of a PyTorch Learning Path, check Prerequisites.