Collaborating Authors

My Process for Learning Natural Language Processing with Deep Learning


I currently work as a Data Scientist for Informatica and I thought I'd share my process for learning new things. Recently I've been wanting to explore more into Deep Learning, especially Machine Vision and Natural Language Processing. I've been procrastinating a lot, mostly because it's been summer, but now that it's fall and starting to cool down and get dark early, I'm going to be spending more time learning when it's dark out. And the thing that deeply interests me is Deep Learning and Artificial Intelligence, partly out of intellectual curiosity and partly out of greed, as most businesses and products will incorporate Deep Learning/ML in some way. I started doing research and realized that an understanding and knowledge of Deep Learning was within my reach, but I also realized that I still have a lot to learn, more than I initially thought.

MediaTek Brings Neural Networks to Devices

Forbes - Tech

In just the past two years, the industry has made great strides in artificial intelligence (AI) using artificial neural networks, better known as deep learning. With massive processing resources, massive amounts of data, and a software framework, a network of filters is created and optimized to perform select functions like image recognition. As the neural network learns, it develops models that can then be used by computing solutions with much less processing resources to perform the desired function on similar data. This is typically referred to as an inference engine or solution, which can be common processing elements like Central Processing Units (CPUs) and Graphics Processing Units (GPUs) or custom processing solutions. Most artificial intelligent applications, like Amazon Echo using Alexa, perform all or part of the processing in the cloud.

Deep learning


Deep Learning is a subset of machine learning in Artificial Intelligence that has networks capable of learning unsupervised from data that is unstructured or unlabeled. Also known as Deep Neural Learning or Deep Neural Network. Deep learning is a subfield of machine learning. Deep learning is a subfield of machine learning, which is the scientific study that gives computers the ability to learn without being explicitly programmed. Deep learning uses neural networks to learn representations of data.

Mail Processing with Deep Learning: A Case Study Analytikus - Simplifying Data


In a case study, Alexandre Hubert -- lead data scientist of software company Dataiku's U.K. operations -- worked on a team of three to automate mail processing with deep learning.

Deep Learning โ€“ how smart is it? Future Processing


Let us tell you a little bit about a branch of AI, namely deep learning. It is the software focused on simulating the activities going on in the layers of the brain โ€“ neurons in a neocortex, which distinguishes images, patterns, and data. Well, it is, and it wasn't easy to achieve, as it took programmers almost 65 years to get to where they are now. It all started with the development of neural networks in the 1950s when everything circled around simulations of the brain on a very basic level. Twenty years later, the network was able to differentiate patterns and simple images.