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
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 #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
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
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 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.