Why do we need more data scientists and why should you become one?

Why do we need more data scientists and why should you become one?

The number of data scientists has grown over 650% over the past five years. Machine learning and deep learning skills are in huge demand at present, and the list of reasons you should join those already working in the profession is broad.

Artificial intelligence imagining and reasoning about the future

Artificial intelligence imagining and reasoning about the future

deepsense.ai ML team has been working with Google Brain on helping AI imagine and reason about the future. They started from optimizing TensorFlow’s infrastructure for reinforcement learning and moved to end-to-end training of AI entirely on Google’s newest Cloud TPUs.

Starting deep learning hands-on: image classification on CIFAR-10

Starting deep learning hands-on: image classification on CIFAR-10

Tired of overly theoretical introductions to deep learning? Experiment hands-on with CIFAR-10 image classification with Keras by running code in Neptune.

Image classification sample solution for Kaggle competition

Image classification sample solution for Kaggle competition

We’ve open sourced image classification sample solution that lets data scientists start competing in the currently running Kaggle Cdiscount competition.

Logo detection and brand visibility analytics

Logo detection and brand visibility analytics – example

Monitoring brand visibility is an important business problem. We describe our solution for logo detection and visibility analytics with deep learning.

Using deep learning for Single Image Super Resolution

Using deep learning for Single Image Super Resolution

We apply three different deep learning models to reproduce state-of-the-art results in single image super resolution.

Fall 2017 release – launching Neptune 2.1 today!

Fall 2017 release – launching Neptune 2.1 today!

We’re thrilled today to announce the latest version of Neptune: Machine Learning Lab. This release will allow data scientists using Neptune to take some giant steps forward. Here we take a quick look at each of them.

Solving Atari games with Distributed Reinforcement Learning

Solving Atari games with distributed reinforcement learning

We present the result of research conducted at deepsense.ai, that focuses on distributing a reinforcement learning algorithm to train on a large CPU cluster

Crime forecasting – ‘Minority Report’ realized

Crime forecasting – ‘Minority Report’ realized

Everybody who watched ‘Minority Report’ daydreams about crime forecasting in the real world. We have good news: machine learning algorithms can do that!

Human log loss for image classification

Human log loss for image classification

Deep learning vs human perception: creating a log loss benchmark for industrial & medical image classification problems (e.g. cancer screening).