Welcome to Intel AI Academy on Makerspace! Learn AI theory and follow hands-on exercises with free courses from the Intel® AI Academy for software developers, data scientists, and students. These lessons cover AI topics and … Read more
This course provides a complete introduction on how to use the Intel® Movidius™ Neural Compute Stick (NCS) for low-power deep learning inference on edge devices. Topics covered include: How to install and use the Intel® … Read more
Bridging the gap between big data and AI, BigDL is a distributed deep learning framework built on Apache Spark*. This course takes you through the basics of AI to building professional systems using this easy-to-use … Read more
By the end of this course, students will have practical knowledge of: What convolutional neural networks are and how they are built How to build a deep learning computer vision application What an FPGA is … Read more
This course teaches about time-series analysis and the methods used to predict, process, and recognize sequential data. Topics include: An introduction to time series and stationary data Applications such as data smoothing, autocorrelation, and AutoRegressive … Read more
This course provides an overview of computer vision on modern Intel® architecture. Topics include: Understanding how to use computer vision in industry Learning the main algorithms for image processing Exploring how machine learning is used … Read more
This course is a prerequisite before attending “AI on Intel: AI from the Data Center to the Edge – An optimized path using Intel architecture” workshop. This course consists of four sections: Introduction to AI … Read more
This course provides an overview of natural language processing (NLP) on modern Intel® architecture. Topics include: How to manipulate text for language models Text generation and topic modeling The basics of machine learning through more … Read more
This course provides an introduction to deep learning on modern Intel® architecture. Deep learning has gained significant attention in the industry by achieving state of the art results in computer vision and natural language processing. … Read more
TensorFlow* is a popular machine learning framework and open-source library for dataflow programming. In this course, you will learn about: The fundamentals of building models with TensorFlow* Machine learning basics like linear regression, loss functions, … Read more
This course is for developers, students, or industry professionals from other computer science and engineering fields who are curious about AI. Explore AI—what it’s used for and why—without the math that is involved with later … Read more
Course Instructors: Azmi Mohamed Ridwan and Lim Tern Poh. Senior AI Engineers | AI Industry Innovation | AI Singapore AI for Professionals is a blended learning programme to help technically inclined individuals to understand and … Read more
Overview To be done. Prerequisites Complete “Unsupervised Learning in Python” course on Datacamp Requirements To complete this course, you will need a desktop/laptop system with Python installed as described in the “Setup your Machine Learning … Read more
This course is based on the Data Science Design Manual by Professor Steven Skiena who is the Distinguished Teaching Professor of Computer Science at Stony Brook University. The course follows the topics in the book … Read more
This course provides an overview of machine learning fundamentals on modern Intel® architecture. Topics covered include: Reviewing the types of problems that can be solved Understanding building blocks Learning the fundamentals of building models in … Read more
Overview “Is it a cat or dog?”, “Will my customer churn, Yes or No?” are questions where classification algorithms can be used to answer. In this course, you will explore in more detail about building … Read more
Literacy in AI develops your knowledge in Python – one of the commonly used AI development languages due to its syntax simplicity and versatility. Before you begin this course, please ensure that you have completed … Read more
Instructor:Azmi Mohamed RidwanSenior AI Engineer | AI Industry Innovation Overview In this section, you will continue building your knowledge about Regression by applying it to a new dataset, the Ames Housing dataset where you will … Read more
