This course teaches machine learning from the basics so that you can get started with created amazing machine learning programs. With a well structured architecture, this course is divided into 4 modules:
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Theory section: It is very important to understand the reason of learning something. The need for learning machine learning and javascript in this particular case is explained in this section.
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Foundation section: In this section, most of the basic topics required to approach a particular problem are covered like the basics of javascript, what are neural networks, dom manipulation, what are tensors and many more such topics
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Practice section: In this section, you put your learnt skills to a test by writing code to solve a particular problem. The explanation of the solution to the problem is also provided in good detail which makes hands-on learning even more efficient.
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Project section: In this section, we build together a full stack project which has some real life use case and can provide a glimpse on the value creation by writing good quality machine learning programs
Happy Coding,
Vinay Phadnis :)
- Beginners: Getting started with Tensorflow
- Intermediates: Learn by having an integrated platform
- Experts: Further polishing your skills
Suggest:
☞ Hands-On Machine Learning: Learn TensorFlow, Python, & Java!
☞ Tensorflow and Keras For Neural Networks and Deep Learning
☞ Mobile Machine Learning for Android: TensorFlow & Python
☞ Use Machine Learning to Make Apps and AI to Detect Fraud
☞ The Complete TensorFlow Masterclass: Machine Learning Models
☞ TensorFlow and the Google Cloud ML Engine for Deep Learning