Author: Ivan Farkas

Graduated from Budapest University of Technology and Economics with Masters in Electrical Engineering.
After graduation moved to New Jersey in 1989.
Started Windows development in 1990 in Edison, NJ.
Moved to Miami, FL in 2005.
Participated in many successful project as a .NET Full Stack Software Engineer.
Focusing on Machine Learning, AI, Cloud Computing and IoT in the past two years.
I hold many certificates from Stanford and Toronto University in Machine Learning and Deep Neural Networks and many from Coursera and Udemy.
Focusing on Machine Learning, AI, Microsoft Cognitive Toolkit (CNTK) and IoT edge devices to solve recommender system, computer vision, fraud detection, classification problems in the banking, automotive, healthcare and security industries.

I am very passionate about Machine Learning, AI, Microsoft Cognitive Toolkit (CNTK) and IoT edge devices.
My blog at https://Ivan-Farkas.com talks about Machine Learning principles and put them to practice using Microsoft Cognitive Toolkit.

Love .NET Core, C#, Python, good food, dancing and scuba diving.

Embedded Learning Library (ELL) and OpenCV Optimization on Raspbian Stretch

Embedded Learning Library (ELL) and OpenCV Optimization on Raspbian Stretch

Overview In the beginning (February 2012), there was the Raspberry Pi 1 Model B single-board computer or SBC for short. This tiny computer started a trend that was followed by many companies and created a large community of makers, enthusiasts, and entrepreneurs around it. As of today the latest iterations that can be used for machine learning …

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AI Learning Path

AI Learning Path

Preface Technology, especially Software Development, is not only growing horizontally and vertically, but it is also getting very segmented and specialized. Therefore, it is tough for a software developer to decide what to study and at what depth. As a Full Stack Software Developer / Consultant, I get many questions about which software technology and …

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AI Landscape after Build 2017

AI Landscape after Build 2017

Initial Thought Before I dive into my experience of AI at Build 2017, I’d like to put things into perspective. I came to the US from Budapest in 1989 as a tourist, 10 days after I got my masters in Electrical Engineering, determined to become a great computer programmer. After undergoing the usual immigrant hardship, I rented …

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Brief History of Machine Learning

Brief History of Machine Learning

1946 – 2017 Before we deep dive into Machine Learning as a due diligence we should know where we have been, before we know where we are going. As you will see it is not different from any other histories, it has it’s ups and downs, in spite of the current boom and as we …

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