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Udacity

Intro to Machine Learning with TensorFlow

Kaggle , Amazon Web Services and Amazon via Udacity Nanodegree

Overview

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.

Syllabus

  • Supervised Learning
    • In this lesson, you will learn about supervised learning, a common class of methods for model construction.
  • Deep Learning
    • In this lesson, you will learn the foundations of neural network design and training in TensorFlow.
  • Unsupervised Learning
    • In this lesson, you will learn to implement unsupervised learning methods for different kinds of problem domains.

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

Reviews

5.0 rating, based on 5 Class Central reviews

Start your review of Intro to Machine Learning with TensorFlow

  • Profile image for Yoo Alejandro
    Yoo Alejandro
    "Amazing program! The projects are designed so delicately, integrating almost all essential and keynotes from the course material, impressive! Another most precious thing is the review and feedback from the reviewer. OMG it is very detailed and personalized, and each piece of advice and further recommendation and suggested references are so useful that keep you going forward in the right direction. Stay Udacious, stay competent!"
  • Anonymous
    The program has been great from the challenge phase till now. I've learnt a lot about the math behind many algorithms in this course and outside and I've also gotten useful tips to improve my modelling like using PCA and also getting feature importance to reduce features hence making the model interpretable and also save time. The first project was awesome as I was able to research and know more about the pros and cons of many models. This course has been great for me.
  • Profile image for Yemi Idris
    Yemi Idris
    Over the last 6weeks, I've built confidence in the Supervised Machine Learning coupled which is the Normal Curriculum. In addition, I've gained indept knowledge using some of the Extracurricular courses, such as SQL, Statistics and probability as these are just concise and well explained. With all these, I'm building the right skillsets moving forward to become a Data Scientist (Machine Learning Engineer)
  • Anonymous
    Just finished the first project, it had lots of guidance which kept me motivated. The reviewer gave me a lot to read on further too. Great experience so far.
  • Gehad W.
    Excellent Nanodegree program! Principles and practices of machine learning are covered with very well-structured content, video lessons and amazing real-world projects. Mentors and reviewers are very helpful with guidance, feedback and recommended references. It is worth doing this program if you not only want to learn the fundamentals but also get hands-on practice with machine learning (Supervised Learning, Deep Learning and Unsupervised Learning).

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