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Data Scientist in the making

A curated list of articles from my continous learning journey

Automate your Machine Learning in Python – TPOT and Genetic Algorithms

Automatic Machine Learning (AML) is a pipeline, which enables you to automate the repetitive steps in your Machine Learning (ML) problems and so save time to focus on parts where your expertise has higher value….

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Distill: Supporting Clarity in Machine Learning

Science isn’t just about discovering new results. It’s also about human understanding. Scientists need to develop notations, analogies, visualizations, and explanations of ideas. This human dimension of science isn’t a minor side project. It’s deeply tied to the heart of science….

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How We Use Automation to Scale Customer Success

At Keen, we work hard to deliver amazing data experiences for our customers. To do that at scale, we’ve built automation to evaluate each of our accounts based on two key axes: Adoption and Relationship. Adoption is all about product usage….

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Are Our Customers Where They “Should” Be?

One of the things I love about my job at Dia&Co is that I’ve had personal interactions with the founders, Nadia Boujarwah and Lydia Gilbert, on several occasions. (My friend at Google can’t say the same about Sergey and Larry!)…

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Explaining complex machine learning models with LIME

The classification decisions made by machine learning models are usually difficult – if not impossible – to understand by our human brains….

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timekit: Time Series Forecast Applications Using Data Mining

The timekit package contains a collection of tools for working with time series in R. There’s a number of benefits. One of the biggest is the ability to use a time series signature to predict future values (forecast) through data mining techniques….

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Elastic Adds ‘One Click’ Anomaly Detection to Stack

The company behind Elasticsearch today unveiled the addition of machine learning algorithms to its enterprise stack for the purpose of finding anomalies in time-series log data. It’s just the start of the IoT use cases, Elastic CEO Shay Banon tells Datanami….

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Top 15 Libraries for Data Science in Python

As Python has gained a lot of traction in the recent years in Data Science industry, we wanted to outline some of its most useful libraries for data scientists and engineers, based on our experience….

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Using IoT Sensors to Up Your Game

This post is authored by Patty Ryan, Principal Data Scientist, Hang Zhang, Senior Data and Applied Scientist, and Mustafa Kasap, Senior Software Design Engineer, at Microsoft….

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