15 hours, in the company of Google researchers, with real-world case studies, with 30+ exercises. A course in Machine Learning with TensorFlow APIs. A FREE course from Google. Now, what more do you ask for?
Google is offering a fast-paced, practical introduction to machine learning. This course can be completed online. It is a very learner-friendly course. Ofcourse, a technical course will have some prerequisites and here are the prerequisites for this course:
If you’re new to machine learning, take Introduction to Machine Learning Problem Framing. This one-hour self-study course teaches you how to identify appropriate problems for machine learning.
If you are new to NumPy (or check this), do the NumPy Ultraquick Tutorial Colab exercise, which provides all the NumPy information you need for this course.
If you are new to pandas, do the pandas UltraQuick Tutorial Colab exercise, which provides all the pandas information you need for this course.
Mathematics is essential, and you should be at ease with the following topics in math:
Algebra
Linear Algebra
Trigonometry
Statistics
Calculus,
Python programming
If this interests you, move on to the course here.
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