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Data Science Career Advice and DS Project Demo with Data Scientist Matthew Thomas

Editor by Editor
May 23, 2025
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Matthew Thomas is at the moment a knowledge scientist with Inclusively, a know-how pushed firm offering a platform that, “connects job seekers with disabilities, mental health conditions, and chronic illnesses, to inclusive employers committed to providing needed workplace accommodations.” Matthew Thomas is a graduate of the UVA School of Data Science’s Online Master of Science in Data Science program. He makes use of machine studying and AI strategies to refine and develop the underlying know-how behind Inclusively, in collaboration with different software program and net builders.

In this video Matthew offers some sensible recommendation on pursing each an training and a profession in Data Science, adopted by a quick description of Inclusively and then an actual world instance of a knowledge science mission.

Advice – 00:08
Inclusively Overview – 03:52
Project Demo – 05:55

Resources to get began in knowledge science:

Mathematics for Machine Learning PDF: https://mml-book.github.io/book/mml-book.pdf

Surfing the Data Pipeline with Python: https://jkropko.github.io/surfing-the-data-pipeline/intro.html

Python Libraries:

Pandas: https://pandas.pydata.org
Pandas Tutorials: https://pandas.pydata.org/pandas-docs/stable/getting_started/tutorials.html,
https://www.w3schools.com/python/pandas/default.asp

Numpy: https://numpy.org
Numpy Tutorial: https://www.w3schools.com/python/numpy/numpy_intro.asp, https://numpy.org/doc/stable/user/quickstart.html

TensorFlow: https://www.tensorflow.org
TensorFlow Tutorials: https://www.tensorflow.org/tutorials

Scikit study: https://scikit-learn.org/stable/
Scikit study Tutorials: https://scikit-learn.org/stable/tutorial/index.html

Flask: https://flask.palletsprojects.com/en/2.0.x/
Flask Tutorial: https://flask.palletsprojects.com/en/2.0.x/tutorial/index.html
https://www.tutorialspoint.com/flask/index.htm

Deploy Models in Production:

Docker: https://www.docker.com/community/open-source
Docker Resources: https://hub.docker.com/_/python,
https://code.visualstudio.com/docs/containers/quickstart-python,
https://docker-py.readthedocs.io/en/stable/

AWS: https://aws.amazon.com/machine-learning/

Google Cloud: https://cloud.google.com/ai-platform/prediction/docs/deploying-models

Microsoft Azure: https://azure.microsoft.com/en-us/services/machine-learning/

Inclusively: https://inclusively.com

UVA School of Data Science: https://datascience.virginia.edu

source

Tags: career advicedata sciencemachine learningnumpypythonScikit learnUVA
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