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#10: AI With Me by Richmond Alake — The Secret to Human Success
Our success as a species can be attributed to key components, including our ability to transfer knowledge through storytelling and collaboration 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 impact 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 engaging AI and Data experts about their progress thus far. Their tales are inspiring and encouraging, so I’ve collaborated 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 😉
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 hope they include this data point in future updates, or perhaps this could be my first dabble into an open-source project. We will see.
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…
