Data Science 101

FEBRUARY 13, 2019

The field of data science is moving fast. People are claiming to be data scientists; yet the knowledge, experience, and backgrounds of those people can be very different. Different is not bad. However, there a little standards around what exactly a data scientist is. Sticking with this week’s theme of “What is a Data Scientist”, an organization titled, Initiative for Analytics and Data Science Standards (IADSS) has kicked-off a research study at global scale.

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DataRobot Blog

FEBRUARY 10, 2019

by Jen Underwood. In the spirit of Valentine’s Day, let’s explore a fun little Relationship App quiz that forecasts how long your relationship will last. Data from a Stanford University study, How Couples. Read More.

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Machine Learning Machine Learning Predictive Analytics Analytics 66

Depends on the Definition

FEBRUARY 11, 2019

This time we have a look into the magnitude library, a feature-packed Python package and vector storage file format for utilizing vector embeddings in machine learning models in a fast, efficient, and simple manner developed by Plasticity.

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Victor Zhou

FEBRUARY 15, 2019

Back in early 2016, I began building a web game called GeoArena. Looking back, my biggest regret is not using Webpack from the beginning. When I started GeoArena, I was very new to web development. Having never heard of module bundlers before, I instead homebrewed my own approaches for serving Javascript on the web. This post explores the problems with those methods and explains why you should be using Webpack instead.

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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ML Review

FEBRUARY 11, 2019

Understanding building blocks of ULMFIT Last week I had the time to tackle a Kaggle NLP competition: Quora Insincere Questions Classification. As it’s easy to understand from the name, the task is to identify sincere and insincere questions given the question text. In short it’s a binary classification problem. I recently completed Fast.ai Part 1 (2019).

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Dataconomy

FEBRUARY 13, 2019

If you’re a Data Scientist, you’ve likely spent months earnestly developing and then deploying a single predictive model. The truth is that once your model is built – that’s only half the battle won. A quarter of a Data Scientist’s working life often goes something like this: You met with. The post A Data Scientist’s relationship with building Predictive Models appeared first on Dataconomy.

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Victor Zhou

FEBRUARY 9, 2019

Here’s a bit of Javascript that prints “Hello World!” on two lines: ( function ( ) { ( function ( ) { console. log ( 'Hello' ) } ) ( ) ( function ( ) { console. log ( 'World!' ) } ) ( ) } ) ( ) …except it fails with a runtime error. Can you spot the bug without running the code? Scroll down for a hint. Hint Here’s the text of the error: TypeError: (intermediate value)(.) is not a function What’s going on?

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