Deep Learning for Text Classification
The rise of the internet has led to a faster flow of information, where news posted to a relatively obscure blog can be shared on social media and reach national publications within hours. The volume of information is such that humans alone cannot filter out noise, identify important new... Read more
Integrating Textual and Visual Information Into a Powerful Visual Search Engine
GSI Technology recently hosted a panel discussion on visual search at ODSC West 2018. The panel featured presentations from Clarifai, eBay, Google, Walmart Labs/, and Wayfair. This blog post summarizes Walmart Labs/’s panel presentation from the conference. Their presentation showed how they used Elasticsearch, a popular text search engine, to build a... Read more
The 2019 Data Science Dictionary – Key Terms You Need to Know
The data science field is teeming with terminology, a confluence of terms from computer science, statistics, mathematics, and software engineering. In addition, the language of data science evolves very quickly. As a journalist and also a data scientist, I probably see the newest terms before many others in the... Read more
Deep Learning for Business: 5 Use Cases
Enterprises at every stage of growth from startups to Fortune 500 firms are using AI, machine learning, and deep learning technologies for a wide variety of applications. Deep learning, as the fastest growing area in AI, is empowering much progress in all classes of emerging markets and ultimately will... Read more
7 Tips for Visual Search at Scale
Visual search is a rapidly emerging trend that is ideal for retail segments, such as fashion and home design, because they are largely driven by visual content, and style is often difficult to describe using text search alone. It is a topic of interest to data scientists, as evidenced... Read more
Feature Selection Using Genetic Algorithms in R
This is a post about feature selection using genetic algorithms in R, in which we will do a quick review about: What are genetic algorithms? GA in ML? What does a solution look like? GA process and its operators The fitness function Genetics Algorithms in R! Try it yourself... Read more
Your Data is Garbage Unless it Tells a Story
If a tree falls in the forest… you know the aphorism. I’m using it here to remind you that your most important job is not data science – OK, maybe it’s not more important, but it’s equally important – is communications. When you do work, and your work remains in a... Read more
Essential NLP Tools, Code, and Tips
In a previous article, we introduced the influential impact of natural language processing (NLP) in different industries and explained the way this discipline is reshaping several fields, yet facing huge challenges on its way. The main drawbacks we face these days with NLP relate to the fact that language... Read more
Automated Machine Learning: Myth Versus Reality
Witnessing the data science field’s meteoric rise in demand across pretty much all industries and areas of scientific research, it’s easy to anticipate efforts to create shortcuts to satisfy the need for more data science practitioners. The current trend of automated machine learning is a great case in point.... Read more
Reading Tea Leaves: Principles of Predictive Analytics and the Path to Time-Series Predictions
With the advent of so many wonderful open-source tools and frameworks for machine learning & deep learning,  it can sometimes be difficult to understand just what defines the subset of the problem space defined by predictive analytics. This is mainly due to the fact that classification problems, statistics, and... Read more