Google Machine Learning Crash Course with TensorFlow APIs
anshuldv I would not recommend starting your journey with this course if you have had zero exposure to the overarching concepts of the field of artificial intelligence and machine learning. You should better get started with some foundational training like Andrew Ngs course on Coursera before taking this.
Do this course:
- If you want to truly understand how Tensorflow models work inside out, all the way down to the math, this course is for you.
- If you are looking to actually build code and perform Tensorflow development, this course is for you.
Specification: Google Machine Learning Crash Course with TensorFlow APIs
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| What will you learn? | Logistic Regression, Machine Learning, Neural Networks, Regularization, Tensorflow |
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| Modules | 1. Introduction to ML – Framing, Descending, Reducing Loss, Tensoflow, Training, Validation, Feature Crosses, Regularisation, Logistic Regression, Classification, Neural networks, Training neural nets, Multi class neural nets, Embedding. 2. ML Engineering – Production ML system, Static Vs Dynamic Training, Inferences, Data Dependencies, Fairness 3. ML System in Real World – Cancer Prediction, Literature, Guidelines. |
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2 reviews for Google Machine Learning Crash Course with TensorFlow APIs
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abdul hameed –
This course is not meant to teach ML to anyone. It is a marketing push for Tensorflow. Stick to books and academia courses and most importantly your own projects if you want to do ML.
Rahul garg –
As a beginner in ML you definitely should NOT start with TF. Keras is much better option.