Learn with the best.

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  Cezanne Camacho

  Curriculum Lead

  Cezanne is a machine learning educator with a Masters in Electrical Engineering from Stanford University. As a former researcher in genomics and biomedical imaging, she’s applied machine learning to medical diagnostic applications.

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  Mat Leonard

  Instructor

  Mat is a former physicist, research neuroscientist, and data scientist. He did his PhD and Postdoctoral Fellowship at the University of California, Berkeley.

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  Luis Serrano

  Instructor

  Luis was formerly a Machine Learning Engineer at Google. He holds a PhD in mathematics from the University of Michigan, and a Postdoctoral Fellowship at the University of Quebec at Montreal.

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  Dan Romuald Mbanga

  Instructor

  Dan leads Amazon AI’s Business Development efforts for Machine Learning Services. Day to day, he works with customers—from startups to enterprises—to ensure they are successful at building and deploying models on Amazon SageMaker.

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  Jennifer Staab

  Instructor

  Jennifer has a PhD in Computer Science and a Masters in Biostatistics; she was a professor at Florida Polytechnic University. She previously worked at RTI International and United Therapeutics as a statistician and computer scientist.

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  Sean Carrell

  Instructor

  Sean Carrell is a former research mathematician specializing in Algebraic Combinatorics. He completed his PhD and Postdoctoral Fellowship at the University of Waterloo, Canada.

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  Josh Bernhard

  Data Scientist at Nerd Wallet

  Josh has been sharing his passion for data for nearly a decade at all levels of university, and as Lead Data Science Instructor at Galvanize. He's used data science for work ranging from cancer research to process automation.

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  Jay Alammar

  Instructor

  Jay has a degree in computer science, loves visualizing machine learning concepts, and is the Investment Principal at STV, a $500 million venture capital fund focused on high-technology startups.

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  Andrew Paster

  Instructor

  Andrew has an engineering degree from Yale, and has used his data science skills to build a jewelry business from the ground up. He has additionally created courses for Udacity’s Self-Driving Car Engineer Nanodegree program.

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  Juan Delgado

  Content Developer

  Juan is a computational physicist with a Masters in Astronomy. He is finishing his PhD in Biophysics. He previously worked at NASA developing space instruments and writing software to analyze large amounts of scientific data using machine learning techniques.

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  Michael Virgo

  Instructor

  After beginning his career in business, Michael utilized Udacity Nanodegree programs to build his technical skills, eventually becoming a Self-Driving Car Engineer at Udacity before switching roles to work on curriculum development for a variety of AI and Autonomous Systems programs.

Thanks it's going well, I really love the instructor, Luis he talks about these concepts so "matter of fact" which makes it believable and understandable. Plus the graphics are great like "Mount Errorest" and the mountain climber when describing "gradient descent". The first project was a lot of template code and I felt badly like I didn't accomplish it on my own however, it was enough to get us started so we have a good foundation once we move on past this Nanodegree, and in the future we'll be able to build our own templates. I think the template code is necessary such that we have a solid base of how to conduct our testing and training, etc. As opposed to scanning Stack Overflow, etc.

It's for sure taught me a ton about the nature of supervised learning and all the things that go along with it. It's really cool to be able to understand all these things about machine learning that I never really knew before. I'll admit, when I started this program, I didn't really have a lot of motivation. I mean, I wanted to do it cause ML is kind of a big deal now, but I wasn't super motivated to get through the harder content. But now, just with the simpler explanations and easy going environment, I've for sure found motivation even just in that! And I can use this for what I'm doing at work, so that's a huge bonus.

The program was very beginner-friendly at first. But towards the end, it was getting a bit hard. Another problem I would like to mention is that this nano-degree does not explain the concepts of Machine Learning in depth. I think Udacity is lacking a few things that the best courses on Udemy excel in. Some mediocre developers who are not good at picking up like me need a more step by step approach of teaching. That being said, thank you Udacity for giving us this opportunity to try this course. I promise I will utilize these 30 days to my best.

This totally feels like a nightmare, a living hell, a journey that have you daily questioning how is even possible for this being that messed up an wondering if it is really worth to keep trying, of course i'm talking about the environmental situation of the world, not about the nanodegree, the program is the exact opossite of that, a wonderfull, amazing and enriching journey that i'm just gratefull i'm having the opportunity to experience. I just want to deeply thank all the people involved in making this available for us.

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.

It has been an exciting learning journey through the project and the course overall. The faculty and the platform is amazing in its content delivery and support. It helped me build confidence and experience satisfaction when I could work and complete the project. I thank all the faculty, supporting staff and team behind for providing such wonderful learning platform transcending the barriers of distance. Looking forward to continue this journey. Thanks!!

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