Data Science

Launching into Machine Learning

Google Cloud Online Course Highlights
  • 1 weeks long
  • 5-7 hours per week
  • Learn for FREE, Ugpradable
  • Self-Paced
  • Taught by: Google Cloud Training
  • View Course Syllabus

Online Course Details:

Starting from a history of machine learning, we discuss why neural networks today perform so well in a variety of data science problems. We then discuss how to set up a supervised learning problem and find a good solution using gradient descent. This involves creating datasets that permit generalization; we talk about methods of doing so in a repeatable way that supports experimentation.

Course Objectives:
Identify why deep learning is currently popular Optimize and evaluate models using loss functions and performance metrics Mitigate common problems that arise in machine learning Create repeatable and scalable training, evaluation, and test datasets

SKILLS YOU WILL GAIN

  • Tensorflow
  • Bigquery
  • Machine Learning
  • Data Cleansing

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