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:
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.
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
Vinay Phadnis :)
- Beginners: Getting started with Tensorflow
- Intermediates: Learn by having an integrated platform
- Experts: Further polishing your skills
☞ 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