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What's the Life Cycle of a Data Scientist? • Ekaterina Sirazitdinova, Prayson Daniel & Nicholai Stålung
GOTO - Today, Tomorrow and the Future
English - June 17, 2022 09:00 - 27 minutes - 19.3 MBTechnology software software engineering software development programming tech technology programming languages software architecture coding agile Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
This interview was recorded at GOTO Copenhagen 2021 for GOTO Unscripted.
gotopia.tech
Read the full transcription of this interview here
Ekaterina Sirazitdinova - Data Scientist for Computer Vision, Video Analytics & Deep Learning at NVIDIA
Prayson Daniel - Principal Data Scientist at NTT DATA
Nicholai Stålung - Lead Data Scientist at Trifork
DESCRIPTION
Data science is so much more than collecting, sorting and analyzing data. What does it take to be a data scientist and how does a day in the life of a data scientist look like? Ekaterina Sirazitdinova, Prayson Daniel and Nicholai Stålung will give you an insight into this and more.
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Phil Winder • Reinforcement Learning
Kelleher & Tierney • Data Science (The MIT Press Essential Knowledge series)
Lakshmanan, Robinson & Munn • Machine Learning Design Patterns
Lakshmanan, Görner & Gillard • Practical Machine Learning for Computer Vision
Aurélien Géron • Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow
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