Mariusz Gądarowski offers an overview of Neptune, deepsense.io’s new IT platform-based machine-learning experiment management solution for data scientists. Deepsense.io uses technologies such as Theano, TensorFlow, Lasagne, scikit-learn, and Apache Spark to carry out machine-learning tasks. Neptune seamlessly integrates with these technologies and makes them easier to use. Neptune enhances the management of machine-learning tasks such as dependent computational processes, code versioning, comparing achieved results, monitoring tasks and progress, sharing infrastructure among teammates, and many others.
Deepsense.io began working on Neptune as part of the Kaggle machine-learning competition Automated Right Whale Recognition—a computer vision contest which it won earlier this year. Following the competition, the team discovered that its data scientists frequently face similar problems and in response developed the Neptune technology. Now, deepsense.io wants to make Neptune available to everyone. Mariusz explores Neptune’s functionalities, shows how to use it, and outlines the benefits it can bring to you and your team of data scientists. Join Mariusz to learn more about Neptune and maybe even become an early adopter of this exciting new technology.
Mariusz Gądarowski is an IT director at deepsense.io. Mariusz is a big data and machine-learning enthusiast with over 10 years of professional design and software development experience. He started his career as a software engineer developing storage and distributed computing solutions for big data. Soon, he became the CTO at Gemius, an Internet consulting company. Prior to joining deepsense.io, he managed teams working on cloud and networking systems at CodiLime. Mariusz holds master’s degrees in mathematics and computer science from the University of Warsaw.
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