Machine Learning with Javascript
Master Machine Learning from scratch using Javascript and TensorflowJS with hands-on projects.
4.77 (3420 reviews)
31 964
students
17.5 hours
content
May 2025
last update
$124.99
regular price
What you will learn
Assemble machine learning algorithms from scratch!
Build interesting applications using Javascript and ML techniques
Understand how ML works without relying on mysterious libraries
Optimize your algorithms with advanced performance and memory usage profiling
Use the low-level features of Tensorflow JS to supercharge your algorithms
Grow a strong intuition of ML best practices
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Our Verdict
Machine Learning with Javascript offers solid foundational knowledge in machine learning concepts and techniques. Despite the instructor's clear teaching style, up-to-date course content and consistent updates are crucial to ensure a quality learning experience. While some learners will find this course suitable for their background, others might struggle due to the reliance on Tensorflow 1.x and lack of up-to-date content. To maximize the benefits from this course, learners should ideally have a solid understanding of calculus, linear algebra, and statistics.
What We Liked
- Instructor explains machine learning concepts clearly with ample examples and charts, making the course accessible to different learning styles
- The course effectively breaks down complex topics into manageable sections, allowing learners to grasp fundamental principles before moving on to more advanced topics
- Covers essential ES6 features in JavaScript, enabling learners to build applications with modern language features
- Provides a strong theoretical and practical understanding of various machine learning algorithms, preparing learners for real-world projects
Potential Drawbacks
- The course relies on Tensorflow 1.x, which could lead to confusion when adapting the learned concepts to Tensorflow 2.x or newer versions
- Lacks clear examples of model prediction implementation, making it difficult for learners to fully understand how to apply the models in practice
- Some learners may need additional background in linear algebra, calculus, and statistics, as certain sections assume a foundational understanding of these subjects
- The course appears to be abandoned by the creator, with outdated information and little support for recent student questions
Related Topics
1955654
udemy ID
09/10/2018
course created date
10/06/2019
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