Matthew Thomas is currently a data scientist with Inclusively, a technology driven company providing 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 uses machine learning and AI techniques to refine and develop the underlying technology behind Inclusively, in collaboration with other software and web developers.

In this video Matthew gives some practical advice on pursing both an education and a career in Data Science, followed by a brief description of Inclusively and then a real world example of a data science project.

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

Resources to get started in data science:

Mathematics for Machine Learning PDF: [ Ссылка ]

Surfing the Data Pipeline with Python: [ Ссылка ]

Python Libraries:

Pandas: [ Ссылка ]
Pandas Tutorials: [ Ссылка ],
[ Ссылка ]


Numpy: [ Ссылка ]
Numpy Tutorial: [ Ссылка ], [ Ссылка ]

TensorFlow: [ Ссылка ]
TensorFlow Tutorials: [ Ссылка ]

Scikit learn: [ Ссылка ]
Scikit learn Tutorials: [ Ссылка ]

Flask: [ Ссылка ]
Flask Tutorial: [ Ссылка ]
[ Ссылка ]

Deploy Models in Production:

Docker: [ Ссылка ]
Docker Resources: [ Ссылка ],
[ Ссылка ],
[ Ссылка ]

AWS: [ Ссылка ]

Google Cloud: [ Ссылка ]

Microsoft Azure: [ Ссылка ]

Inclusively: [ Ссылка ]

UVA School of Data Science: [ Ссылка ]

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