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Latest Trends in Computer Vision Technology and Applications
We investigate the advancements in deep learning, the rise of edge computing, object recognition with point cloud, VR and AR enhanced merged reality, semantic instance segmentation and more.
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Text Preprocessing in Python: Steps, Tools, and Examples
We outline the basic steps of text preprocessing, which are needed for transferring text from human language to machine-readable format for further processing. We will also discuss text preprocessing tools.
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 The Most in Demand Skills for Data Scientists
Data scientists are expected to know a lot — machine learning, computer science, statistics, mathematics, data visualization, communication, and deep learning. How should data scientists who want to be in demand by employers spend their learning budget?
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Why AI will not replace radiologists
We investigate some of the reasons why radiologists will be safe from AI, including the fact that humans will always maintain ultimate responsibility, how productivity gains will drive demand, and more.
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Labeling Unstructured Text for Meaning to Achieve Predictive Lift
In this post, we examine several advance NLP techniques, including: labeling nouns and noun phrases for meaning, labeling (most often) adverbs and adjectives for sentiment, and labeling verbs for intent.
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Naive Bayes from Scratch using Python only – No Fancy Frameworks
We provide a complete step by step pythonic implementation of naive bayes, and by keeping in mind the mathematical & probabilistic difficulties we usually face when trying to dive deep in to the algorithmic insights of ML algorithms, this post should be ideal for beginners.
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Introduction to Active Learning
An extensive overview of Active Learning, with an explanation into how it works and can assist with data labeling, as well as its performance and potential limitations.
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How to Define a Machine Learning Problem Like a Detective
The common refrain among machine learning practitioners is that it’s as much an art as a science. True enough, but in this discipline, you can only appreciate the former if you understand the latter.
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 Apache Spark Introduction for Beginners
An extensive introduction to Apache Spark, including a look at the evolution of the product, use cases, architecture, ecosystem components, core concepts and more.
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Music for Data Scientists? Music by Data Scientists? …What…?!
Introducing Mean Reversion, an NYC-based songwriting duo comprising of data scientist Foster Provost and statistician Cliff Hurvich.
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The Most in Demand Skills for Data Scientists
Apache Spark Introduction for Beginners