All Courses

Recommendation Systems with Python

Working in a hands-on learning environment, led by our Recommendation Systems expert instructor, students will learn about and explore: Build industry-standard recommender systems.Only familiarity with Python is required.No need to wade through complicated machine learning theory to use this course.

Practical Recommender Systems

Working in a hands-on learning environment, led by our Recommendation Systems expert instructor, students will learn about and explore: you should be able to read code in a programming language such as Python or Java .you should understand an SQL query, and you should have a basic understanding of higher math and statistics.Figures and code listings that explain concepts can get you only so far.

Music Generation with Magenta

Working in a hands-on learning environment, led by our Machine Learning expert instructor, students will learn about and explore: Learn how machine learning, deep learning, and reinforcement learning are used in music generation.Generate new content by manipulating the source data using Magenta utilities, and train machine learning models with it.Explore various Magenta projects such as Magenta Studio, MusicVAE, and NSynth.

IoT Solutions with Blockchain

Working in a hands-on learning environment, led by our IoT Solutions with Blockchain expert instructor, students will learn about and explore: Explore practical implementation of ledger technology in the IoT architecture.Study security best practices for your smart devices.Understand Blockchain implementation for end-to-end IoT solutions.

Machine Learning Projects for Mobile Applications

Working in a hands-on learning environment, led by our Machine Learning expert instructor, students will learn about and explore: Explore machine learning using classification, analytics, and detection tasks.Work with image, text and video datasets to delve into real-world tasks.Build apps for Android and iOS using Caffe, Core ML and Tensorflow Lite.

Go Machine Learning Projects

Working in a hands-on learning environment, led by our Go Machine Learning expert instructor, students will learn about and explore: Explore ML tasks and Go’s machine learning ecosystem.Implement clustering, regression, classification, and neural networks with Go.Get to grips with libraries such as Gorgonia, Gonum, and GoCv for training models in Go.
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