Google has launched a free online course called "Machine Learning Crash Course with Tensorflow API" to help all students learn ab...
Google has launched a free online course called "Machine Learning Crash Course with Tensorflow API" to help all students learn about Machine Learning.
For better clarity about this syllabus, review the above details.
Also Read: Free Undergraduate Courses In India | Any student can apply. Free Courses | Naughty Man
about the course
"Machine Learning Crash Course in Tensorflow APIs" is a quick, practical introduction to Google's machine learning that will be completed in 15 hours. Google's free online machine learning crash course includes a series of lessons with video interviews, real-world case studies, and practical training tutorials. Upon completion of the course, participants will recognize the practical benefits of mastering Machine Learning and understand the philosophy behind Machine Learning.
Remember
Before starting a machine learning crash course, do the following:
1. If you are new to Machine Learning, then get familiar with Machine Learning Problem Structure. This one-hour learning course teaches you how to identify relevant machine learning problems.
2. If you are new to NumPy, exercise in the NumPy Ultraquick Tutorial Colab, which provides all the NumPy information you need for this course.
3. If you are new to Panda, try the Panda UltraQuick Tutorials Collab tutorial which provides all the Panda information you need for this course.
topics to be covered
Introduction to Machine Learning.
Framing.
Mechanical education is low.
loss reduction.
Define general machine learning terms.
Describes examples of products that use machine learning and general machine problem solving learning methods.
Determine whether the machine learning problem can be solved.
Compare machine learning with other programming methods.
Use experimental theory and scientific methods for machine learning problems.
There are talks about machine learning problem solving techniques and much more.
Requirements
Machine Learning Crash Course does not imply or require any prior knowledge of Machine Learning. However, to complete the exercise by understanding the ideas presented, we recommend that students meet the following requirements:
You need to be comfortable with variables, linear equations, functional diagrams, histograms and statistical methods.
You have to be a good programmer. Ideally, you should have some experience programming in Python as the programming tutorials are in Python. However, experienced programmers with no Python experience can still complete programming exercises.
how to apply?
For Official Google Announcement: Click Here
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