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Machine Translation in a Nutshell
Marketing scientist Kevin Gray asks Dr. Anna Farzindar of the University of Southern California for a snapshot of machine translation. Dr. Farzindar also provided the original art for this article.
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Best Python Books for Beginners and Advanced Programmers
Let's take a look at nine of the best Python books for both beginners and advanced programmers, covering topics such as data science, machine learning, deep learning, NLP, and more.
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The Explainable Boosting Machine
As accurate as gradient boosting, as interpretable as linear regression.
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Super Charge Python with Pandas on GPUs Using Saturn Cloud
Saturn Cloud is a tool that allows you to have 10 hours of free GPU computing and 3 hours of Dask Cluster computing a month for free. In this tutorial, you will learn how to use these free resources to process data using Pandas on a GPU. The experiments show that Pandas is over 1,000,000% slower on a CPU as compared to running Pandas on a Dask cluster of GPUs.
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Make Connections With SAS Live Web Learning
Through a year of uncertainty, the demand for analytics skills and the desire to continue skills development remained consistent. Take this opportunity to join SAS expert instructors and learn the latest skills in a Live Web class.
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What Makes AI Trustworthy?
This blog pertains to the importance of why AI needs to be trustworthy as well as what makes it trustworthy. AI predictions/suggestions should not just be taken at face value, but rather delved into at a deeper level. We need to understand how an AI system makes its predictions to put our trust in it. Trust should not be built on prediction accuracy alone.
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Similarity Metrics in NLP
This post covers the use of euclidean distance, dot product, and cosine similarity as NLP similarity metrics.
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Ensemble Methods Explained in Plain English: Bagging
Understand the intuition behind bagging with examples in Python.
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 Applying Python’s Explode Function to Pandas DataFrames
Read this applied Python method to solve the issue of accessing column by date/ year using the Pandas library and functions lambda(), list(), map() & explode().
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What is Neural Search?
And how to get started with it with no prior experience in Machine Learning.
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Applying Python’s Explode Function to Pandas DataFrames