AI-predictive-maintenance

Outsmarting failure. Predictive maintenance powered by machine learning

As the fourth industrial revolution approaches, factories can harness the power of machine learning to reduce maintenance costs.

AI Monthly digest #2 - the fakeburger, BERT for NLP and machine morality

AI Monthly digest #2 – the fakeburger, BERT for NLP and machine morality

Fake images of hamburgers, the autonomous trolley problem, BERT for NLP and more stories from October, curated by deepsense.ai’s team, right here in AI Monthly Digest.

Ai monthly digest september 2018

AI Monthly digest #1 – AI stock trading & Kaggle record

AI-based stock trading, a record-breaking competition on Kaggle and more stories cherry-picked from all the interesting ML- and AI-related news from September.

Keras vs. PyTorch: Alien vs. Predator recognition with transfer learning

In our previous post, we gave you an overview of the differences between Keras and PyTorch, aiming to help you pick the framework that’s better suited to your needs. Now, it’s time for a trial by combat. We’re going to pit Keras and PyTorch against each other, showing their strengths and weaknesses in action. We […]

Expert augmented reinforcement learning – agents of Montezuma’s Revenge

Reinforcement learning is gaining notice as a way to train neural networks to solve open problems that require a flexible, creative approach. As a huge amount of computing power and time are required to train reinforcement learning agent, it is no surprise that researchers are looking for ways to shorten the process. Expert augmented learning […]

Museum Treasures – AI at the National Museum in Warsaw

Object recognition is common for street and satellite photos, diagram analysis and text recognition. After the DS team, including several deepsense.ai data scientists, took first place in the National Museum in Warsaw’s HackArt hackathon, designing a “Museum Treasures” game, the technique may soon be used to popularize art and culture, too. In May 2018, the […]

Wait, so loans need to be repaid The home credit risk prediction competition on Kaggle

Wait, so loans need to be repaid? The home credit risk prediction competition on Kaggle

It was far and away the most popular Kaggle competition, gaining the attention of more than 8,000 data scientists globally. The team of Paweł Godula, team leader and deepsense.ai’s Director of Customer Analytics, Michał Bugaj and Aliaksandr Varashylau took fifth place and 1st on the public leaderboard.

How machine learning improves business efficiency – five practical examples

How machine learning improves business efficiency – five practical examples

Deloitte estimates that in 2021 enterprise spending on artificial intelligence and machine learning projects will reach 57 billion dollars

Four ways to use a Kaggle competition to test artificial intelligence in business

For companies seeking ways to test AI-driven solutions in a safe environment, running a competition for data scientists is a great and affordable way to go – when it’s done properly. According to a McKinsey report, only 20% of companies consider themselves adopters of AI technology while 41% remain uncertain about the benefits that AI […]

Three reasons why data analyst makes perfect data scientist

Three reasons why data analysts make the perfect data scientists

Adding programming skills to the data analyst’s skill set can go a long way to making the perfect data scientist.