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AI Monthly digest #1 – AI stock trading & Kaggle record
/in Data science, Deep learning, Machine learning, AI Monthly Digest /by Konrad Budek and Arkadiusz NowaczynskiAI-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 Deep learning, Machine learning /by Piotr Migdal, Patryk Miziuła and Rafał JakubanisIn 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 present a real problem, a matter of life-and-death: distinguishing Aliens from Predators!
Expert augmented reinforcement learning – agents of Montezuma’s Revenge
/in Reinforcement learning /by Konrad BudekAs a huge amount of computing power and time are required to train RL agent, it is no surprise that researchers are looking for ways to shorten the process.
Museum Treasures – AI at the National Museum in Warsaw
/in Data science /by Agata ChęcińskaObject recognition is common for diagram analysis and text recognition. The technique may soon be used to popularize art and culture.
Wait, so loans need to be repaid? The home credit risk prediction competition on Kaggle
/in Data science /by Konrad BudekIt 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
/in Machine learning /by Konrad BudekDeloitte 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
/in Data science /by Konrad Budek and Patryk MiziułaFor 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
/in Data science /by Konrad BudekAdding programming skills to the data analyst’s skill set can go a long way to making the perfect data scientist.
Building a Matrix with reinforcement learning and artificial imagination
/in Reinforcement learning /by Konrad BudekChild’s mind is able to create fantastic worlds in seconds. So what would happen if robots had an artificial imagination?
Online course vs. instructor-led training – how to develop your team’s new skills?
/in Data science /by Anna KowalczykAdvantages of online courses are tempting to send your team to any of the popular e-learning platforms to pick up the new skills they need. An important question, then, is are online courses superior to instructor-led training?