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How To Predict Machine Failure Using Data Science

How To Predict Machine Failure Using Data Science

It is well known, how annoying a machine breakdown can be. Production takes a direct hit because of equipment failures. A great deal of money is lost by the time production...

Positivity: what it is and why it matters for data science

Positivity: what it is and why it matters for data science

Positivity: what it is and why it matters for data science A causal inference explainer Jan 26, 2019 · 5 min read If you are interested in understanding causal effects from...

Responsible Data Science & AI – Challenges and First Steps Towards a Practical Implementation

Responsible Data Science & AI – Challenges and First Steps Towards a Practical Implementation

After major incidents, such as the Cambridge Analytica scandal and the alleged racial bias in the COMPAS system that assessed potential recidivism risk in... After major...

These Data Science Masters Teach Students How To Manage Data Responsibly

These Data Science Masters Teach Students How To Manage Data Responsibly

Zicklin School of Business teaches students about the main issues surrounding data protection in the US Data protection in the US has historically been like the wild west....

How to Start A Career In AI And Machine Learning

How to Start A Career In AI And Machine Learning

How to Start A Career In AI And Machine Learning Sep 6 · 6 min read Photo: Fabio/Unsplash Artificial Intelligence (AI) made headlines recently when people started reporting that...

How to predict new consumer behaviour in Covid-19 era

How to predict new consumer behaviour in Covid-19 era

Covid-19 has drastically changed consumption patterns, making it increasingly difficult for businesses to predict consumer behaviour We are in uncharted waters for business....

Why Causation Matters in Data Science

Why Causation Matters in Data Science

Inferring causality is vital to deriving actionable insights in product data science, similar to more established fields like public policy. Without understanding the...

Model Evaluation in the Land of Deep Learning

Model Evaluation in the Land of Deep Learning

Applications for machine learning and deep learning have become increasingly accessible. For example, Keras provides APIs with TensorFlow backend that enable users to...

Why do I have a data science blog? 7 benefits of sharing your code

Why do I have a data science blog? 7 benefits of sharing your code

My blog statsandr.com was launched in December 2019. Although 9 months of writing is a very short period compared to others, I can already say that it’s been an incredible and...

Learning from a day in the life of a data scientist

Learning from a day in the life of a data scientist

Here’s how organisations can reduce the friction data scientists face in developing and deploying models into production — and realise value more quickly. A bank turned to one...

How Reading Papers Helps You Be a More Effective Data Scientist

How Reading Papers Helps You Be a More Effective Data Scientist

“Instead of manually checking our data, why not try what LinkedIn did? It helped them achieve 95% precision and 80% recall.” My teammate then shared how LinkedIn used k-nearest...

Machine Learning for Frontend Development: The Road to Future

Machine Learning for Frontend Development: The Road to Future

When creating a website, it is an essential objective of developers to make it appealing. They undergo a few systems, including drawing idea sketches, building models, and...