https://deepsense.ai/wp-content/uploads/2019/02/Driverless-car-or-autonomous-driving-Tackling-the-challenges-of-autonomous-vehicles-.jpg3371140Konrad Budekhttps://deepsense.ai/wp-content/uploads/2019/04/DS_logo_color.svgKonrad Budek2018-11-26 11:25:542019-07-09 12:46:11Driverless car or autonomous driving? Tackling the challenges of autonomous vehicles
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-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.
https://deepsense.ai/wp-content/uploads/2019/04/keras-vs-pytorch-avp-transfer-learning.jpg3371140Piotr Migdalhttps://deepsense.ai/wp-content/uploads/2019/04/DS_logo_color.svgPiotr Migdal2018-10-03 17:21:202019-06-25 12:05:15Keras vs. PyTorch: Alien vs. Predator recognition with transfer learning
As 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.
https://deepsense.ai/wp-content/uploads/2019/02/Museum-Treasures-–-AI-at-the-National-Museum-in-Warsaw.jpg3371140Agata Chęcińskahttps://deepsense.ai/wp-content/uploads/2019/04/DS_logo_color.svgAgata Chęcińska2018-09-13 12:20:442019-06-28 07:27:07Museum Treasures - AI at the National Museum in Warsaw
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.
https://deepsense.ai/wp-content/uploads/2019/02/Wait-so-loans-need-to-be-repaid-The-home-credit-risk-prediction-competition-on-Kaggle.jpg3371140Konrad Budekhttps://deepsense.ai/wp-content/uploads/2019/04/DS_logo_color.svgKonrad Budek2018-09-06 14:17:172019-07-05 10:49:09Wait, so loans need to be repaid? The home credit risk prediction competition on Kaggle
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 provides. Considering the cost of implementing AI and the organizational challenges that come with it, it’s no surprise that smart companies […]
https://deepsense.ai/wp-content/uploads/2018/08/Four-ways-to-use-a-Kaggle-competition-to-test-artificial-intelligence-in-business.png3371140Konrad Budekhttps://deepsense.ai/wp-content/uploads/2019/04/DS_logo_color.svgKonrad Budek2018-08-24 13:46:122019-07-05 10:55:35Four ways to use a Kaggle competition to test artificial intelligence in business
Driverless car or autonomous driving? Tackling the challenges of autonomous vehicles
/in Blog posts, Machine learning, Reinforcement learning /by Konrad BudekAmong both traditional carmakers and cutting-edge tech behemoths, there is massive competition to bring autonomous vehicles to market.
Outsmarting failure. Predictive maintenance powered by machine learning
/in Blog posts, Data science, Machine learning /by Konrad BudekAs 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
/in Blog posts, Data science, AI Monthly Digest /by Konrad Budek and Arkadiusz NowaczynskiFake 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
/in Blog posts, 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 Blog posts, Deep learning, Machine learning /by Piotr Migdal and Patryk MiziułaExpert augmented reinforcement learning – agents of Montezuma’s Revenge
/in Blog posts, 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 Blog posts, 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 Blog posts, 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 Blog posts, 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 Blog posts, 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 provides. Considering the cost of implementing AI and the organizational challenges that come with it, it’s no surprise that smart companies […]