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.
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.
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.
Monitoring brand visibility is an important business problem. We describe our solution for logo detection and visibility analytics with deep learning.
We apply three different deep learning models to reproduce state-of-the-art results in single image super resolution.