---
title: "Arthur Kaza (@ArthurStarks) | Hashnode"
description: "Senior Data Scientist | Google Developer Expert AI. Read the latest articles by Arthur Kaza on Hashnode."
url: "https://hashnode.com/@ArthurStarks"
---

@ArthurStarks

# Arthur Kaza

@ArthurStarks · Kinshasa, DRC · Joined July 2023

Senior Data Scientist | Google Developer Expert AI

## Comments

[Noted Richard, for sure after this second episode](https://hashnode.com/posts/5-common-myths-to-discover-about-mlops-machine-learning-operations/67662cdaba0c605e5f286ba7/comment/6769e955ca9c7aaa0fcb921b#reply-676c24fbe43cb39a65f103aa)

Reply · Article · Dec 25, 2024 · [5 common Myths to discover about MLOps (Machine Learning Operations)](https://hashnode.com/posts/5-common-myths-to-discover-about-mlops-machine-learning-operations/67662cdaba0c605e5f286ba7)

[Thanks Richard Dushime](https://hashnode.com/posts/taking-advantage-of-tensorboard-part-i/64e691b7d80d028b9c6e2469/comment/64e74e1f1e5f9efd579789fd)

Comment · Article · Aug 24, 2023 · [Taking advantage of TensorBoard Part I](https://hashnode.com/posts/taking-advantage-of-tensorboard-part-i/64e691b7d80d028b9c6e2469)

[This will cause an error because the model wouldn’t know what to learn from during training. You are right, it means that I was considering data as our input data (x) and target (y) at the same time. Both input data (x) and target data (y) are essential for the training phase. So, it’s important to split your data into x (features) and y (labels) before training your model. Thanks A A for the feedback next time I will pay attention to be more clear with that.](https://hashnode.com/posts/build-compile-and-fit-models-in-tensorflow-part-ii/64dad1c9ff6c76c54a36b6e4/comment/64e676bccae237eabaabaeee)

Comment · Article · Aug 23, 2023 · [Build, Compile, and Fit Models in TensorFlow Part II](https://hashnode.com/posts/build-compile-and-fit-models-in-tensorflow-part-ii/64dad1c9ff6c76c54a36b6e4)