Half Way Already!

We are halfway through 2022!

The halfway mark has come too quickly, and it's already felt like an entire year has gone by for others. 2022 continues to be eventful and, at times, unpredictable. During these couple months, I've found myself exploring new opportunities and starting projects I never saw myself starting in January.

One of them is my new podcast, where I speak to machine learning, data science and AI practitioners with respected reputations within the industry. You might have heard of some of these individuals, such as Ken Jee, Harpreet Sahota, Shashank Kalanithi and many more.

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Podcast

The first episode is out and it's with everyone's favourite Data Scientist Ken Jee. Subscribe to the podcast on YouTube, Spotify and Apple​

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Articles

In 2022, computer vision engineers should be aware of the following trends in the field: the increasing popularity of PyTorch Lighting, mobile-focused deep learning libraries, and the use of Transformers in computer vision applications. Additionally, edge devices are becoming more powerful and businesses are exploring mobile offerings of their product and service. Finally, AutoML capabilities are becoming more widely used and there is continued development in ML libraries and frameworks. Exciting times indeed!

Read more in this article I wrote for the Nvidia Developer Blog​

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Gems

Build by Tony Fadell

I'm currently reading Build by Tony Fadell, and I can honestly say that if you are an entrepreneur, data scientist, or engineer, this book is the mentor you wish you had. Tony covers a lot of aspects of a career within the tech industry, including product development, conflict resolutions and more.

No ML Degree by Emil Wallner

With so much information available in the field of machine learning, it can be tough for self-directed learners to find their way. Emil Wallner's e-book offers a step-by-step guide for self-learners who want to pursue a career in machine learning.

Thanks for reading!