Three reasons why data analyst makes perfect data scientist

Three reasons why data analysts make the perfect data scientists

Adding programming skills to the data analyst’s skill set can go a long way to making the perfect data scientist.

Online course vs. instructor-led training – how to develop your team’s new skills?

Online course vs. instructor-led training – how to develop your team’s new skills?

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 or PyTorch as your first deep learning framework

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.

Spot the flaw – visual quality control in manufacturing

Spot the flaw – visual quality control in manufacturing

Harnessing the power of AI’s image recognition and deep learning may significantly reduce the cost of visual quality control.

What is the best method of efficiently training machine learning for teams?

What is the best method of efficiently training machine learning for teams?

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 to start with machine learning wisely and become a data scientist?

How to start with machine learning wisely and become a data scientist?

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.

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.

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.