learnings

Learnings from a Machine Learning Engineer — Part 6: The Human Side

In my , I even have spent lots of time talking concerning the technical points of an Image Classification problem from data collection, model evaluation, performance optimization, and an in depth have a look at model training. These elements require a...

Learnings from a Machine Learning Engineer — Part 5: The Training

On this fifth a part of my series, I'll outline the steps for making a Docker container for training your image classification model, evaluating performance, and preparing for deployment. AI/ML engineers would like to deal...

Learnings from a Machine Learning Engineer — Part 4: The Model

Practical insights for a data-driven approach to model optimizationOn this last a part of my series, I'll share what I even have learned on choosing a model for image classification and easy methods to...

My Five Key Learnings To Be a Higher Data Scientist

Reflection on my six-year data science professionI began my first full-time data science job in January 2018 as an Associate Product Analyst. That is the seventh yr of my DS profession, now as a...

Applied Innovation for Good — Leveraging AI to decode the bee waggle dance The Background Our Approach Our learnings and proposals Acknowledgments

As a part of the Tech4PositiveFutures initiative, Capgemini’s Applied Innovation Exchange London have partnered with Pollenize, a UK-based Community Interest Company (CIC), to explore the opportunity of using machine learning and artificial intelligence to...

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