The Secret to Human Success

Our success as a species can be attributed to a few key components, including our ability to transfer knowledge through storytelling and our ability to collaborate and cooperate on tasks.

Although storytelling and collaboration might not be the first thing that comes to mind when you think about AI, Data, and ML practitioners and professionals, these skills can have just as much of an impact on your career as more technical skills like programming abilities.

I’ve experienced it first hand.

Since the beginning of this year, I've been talking to well-known and interesting AI and Data experts about their progress thus far. Their tales are inspiring and encouraging, so I've been able to collaborate with several of these great people on ML and data-related issues. If you're reading this wondering how to improve your storytelling or collaborative abilities, consider doing the following:

• Attending AI/Data Science and machine learning meetups in your local area or online
• Showcase your practical skills by having an in-person or virtual demo in your place of work
• Subscribing to my YouTube channel 😉

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Exploring

I was today years old when I found out that the pose estimation model on the iOS ML Kit does not include the data point that provides information on the confidence of the estimated joints (x,y) coordinates inferred by the model.

The confidence score usually ranges from 0–1.0, where 1.0 indicates high confidence, and when you observe that there is low confidence in a joint or group of joints you can perform recalibration by providing application users signals to improve the environment the image passed to the pose estimation model is derived from.

I’m hoping they include this data point in future updates, or perhaps this could be my first dabble into an open-source project. We will see.

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Podcast

The latest guest on my podcast is Kurtis Pykes. Kurtis is a freelance machine learning engineer and AI technical writer that’s self-taught himself machine learning. He has written over 300 articles on the subject of machine learning and data science.

We spoke about many things, but the main topics were:

• His journey into tech and AI
• How he deals with competition
• His writing career and benefits
• How to attract more underrepresented people into AI
• and more…

Subscribe to the podcast on YouTube, Spotify and Apple​

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Gems

This conversation is a great introduction to the world of MLOps by Mikiko Bazeley on Ken's Nearest Neighbour Podcast.

I appreciated Mikiko using the established practice of DevOps to explain and build upon the definition of MLOps. Mikiko also touches on the fact that MLOps will definitely be a massive consideration for companies moving forward, and also whether you need one person, a team or having MLOps as a practice with other roles.