November 7, 2019 Bonus for the community!

Hey Guys! 🏆

Looking for an all-in-one Course for Object Detection?

Here’s a highlight of some of our best lectures so far:

  • Multi-Object Detection with Yolo
  • Multi-Object Detection with SSD
  • Multi-Object Detection with Fast R-CNN
  • Multi-Object Detection with Mask R-CNN

.. up to current State of The Art Model!

It’s 4 algorithms in one course!

💣 Bonus !
Here is a free tutorial for the community http://bit.ly/traffic-counting-with-opencv
Let me know your thoughts ❤️

Thank you!
Alexander

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October 29, 2019 Reached Pizza Profitability!

300 can’t be wrong! That’s how many students have taken course, leaving many top-rated reviews. This is super exciting, because it means that we can afford go full-time on Machine Learning Course and develop even more cool projects. Try out this course risk free and join Machine Lerning World.

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October 1, 2019 Landed start up’s first customers.

You have a company. You have a product but everything starts with a sale. You need revenue. You need product validation. You need the case study. You need it all. I don't like to overcomplicate things, but getting first customer support is crucial and we did it🤞

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September 20, 2019 Got 1000 sign-ups.

It's been a long slog to get here, but http://learnml.today/ just passed 1000 signups! This has been the result of several efforts, including blogging, social media marketing, press, and conferences attendance.

Here are couple of lessons I learned:

  1. You need to listen to your customer first.
  2. It’s really not a matter of whether you’re qualified do work in machine learning. It’s just a matter of getting the learnings to make yourself more and more qualified.

I'm excited for what comes next!

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August 12, 2019 Came up with the idea of the course creation

I'm passionate about technologies and I do believe that Machine Learning should be available to everyone. We developed solutions that work in practice, code that is easy to read and understand, and tasks that stimulate creativity and innovation in the structure of problem-solving in Machine Learning.

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About

We believe that creating accurate Machine Learning models remains a major challenge in computer vision. We have solutions that work in practice, code that is easy to read and understand.