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Intro to Machine Learning with TensorFlow

Kaggle , Amazon Web Services and Amazon via Udacity Nanodegree


In LinkedIn’s 2020 Emerging Jobs report, AI Specialist, a role that includes machine learning, deep learning, TensorFlow, and Python as key skills, boasts 74% annual growth. All of the above skills are incorporated into Udacity’s Intro to Machine Learning with TensorFlow Nanodegree program, which is a great way to get introduced to the fundamentals of machine learning, including areas like manipulating data, supervised & unsupervised learning, and deep learning. In this program, you will complete three hands-on projects including building an image classifier, and creating customer segments, that will prepare you for one of the 50,000 open roles in machine learning.
Build a solid foundation in Supervised, Unsupervised, and Deep Learning. Then, use these skills to test and deploy machine learning models in a production environment.


Prerequisite Knowledge

To optimize your chances of success in this program, we recommend intermediate Python programming knowledge and basic knowledge of probability and statistics.

  • Supervised Learning

    In this lesson, you will learn about supervised learning, a common class of methods for model construction.

    Find Donors for CharityML
  • Deep Learning

    In this lesson, you will learn the foundations of neural network design and training in TensorFlow.

    Build an Image Classifier
  • Unsupervised Learning

    In this lesson, you will learn to implement unsupervised learning methods for different kinds of problem domains.

    Create Customer Segments

Taught by

Cezanne Camacho, Mat Leonard, Luis Serrano, Dan Romuald Mbanga, Jennifer Staab, Sean Carrell, Josh Bernhard , Jay Alammar, Andrew Paster, Juan Delgado and Michael Virgo

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