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.
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 […]
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.
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 […]
Adding programming skills to the data analyst’s skill set can go a long way to making the perfect data scientist.
Advantages 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?
Keras and PyTorch are both excellent choices for your first deep learning framework. Learn how they differ and which one will suit your needs better.
Harnessing the power of AI’s image recognition and deep learning may significantly reduce the cost of visual quality control.
The tailored Team Training Tracks (4T) method is a way of teaching data science by working with a specific team on selected real-life projects in a company. It facilitates an effective learning experience for adults addressing an increasing job market need for data scientists.
How we teach data science now has many limitations. Universities, bootcamps and online courses have yet to provide an optimal learning experience that answers job market needs. A fourth way is needed.