Newsletter Subject

The UX of AI

From

datacamp.com

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team@datacamp.com

Sent On

Tue, Feb 6, 2018 04:01 PM

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Prince’s Lyrics Analysis. New AI fund. Tidy Text Mining Beer Reviews. How to Master New Skills.

Prince’s Lyrics Analysis. New AI fund. Tidy Text Mining Beer Reviews. How to Master New Skills. [DataCamp]( DataCamp Weekly Issue #34 ― February 6, 2018 We launched episode 8 of DataFramed yesterday, make sure to download and subscribe via the link below. We also released a lyric analysis of Prince’s music with NLP and Machine Learning in R tutorial last week. Also, make sure to check out the other links below to read more about matrix factorization, the UX of AI, betting on the right Super Bowl squares, Andrew Ng’s new AI fund and more! Like what you’re seeing? Forward to a friend! Received this email from a friend? [Sign up]( for a DataCamp account to to receive a dose of data science every Tuesday. Projects & Resources [Data Science, Astronomy and the Open Source (with Jake VanderPlas)]( Episode 8 of our podcast DataFramed is out! Hugo speaks with Jake VanderPlas about data science, astronomy, the open source development world and the importance of interdisciplinary conversations to data science. [datacamp.com]( [Finding Similar Names with Matrix Factorization]( Applying matrix factorization on user clicks on hundreds of names on the recommender system NamesILike.com reveals an unseen structure in our first names. Find out what it is in this tutorial. [datacamp.com]( [Lyric Analysis with NLP & Machine Learning with R]( Dive into the lyrics of Prince's music with R: use text mining and Exploratory Data Analysis (EDA) to shed insight on The Artist's career. [datacamp.com]( [Google Design: The UX of AI]( Very interesting article about how Google is creating multi-disciplinary teams behind their ML products to create a human-centered design process to elevate AI. This is something we’ll most likely see more of going forward. [design.google]( In the News [What digits should you bet on in Super Bowl squares?]( David Robinson takes a data-driven approach to find the most common digits, and pairs of digits, in NFL scores. Using the R language and the tidyverse collection of packages, the article predicts the scores of NFL games. Find out if these predictions applied for this Super Bowl! [varianceexplained.org]( [Announcing the AI Fund: Building transformative AI companies]( Andrew Ng announced his new project last week: a $175 million AI fund. This fund will invest in, you guessed it, AI-focused products & companies. Definitely worth paying attention to this. [medium.com]( [Shiny Dashboard for stocks listed on S&P500]( A handy R Shiny Dashboard to follow the performance of the S&P500. This dashboard includes a treemap, wordcloud, time series analysis and more. [r-bloggers.com]( Elsewhere • [Tidy Text Mining Beer Reviews]( • [How to Master New Skills]( • [Deep Learning for Cancer Immunotherapy]( Jobs • [Data scientist / R Programmer, The World Bank, Part-Time, Anywhere]( • [R Shiny Dashboard Engineer, Castor, Amsterdam]( • [Data Scientist, Boston Consulting Group, NYC]( That's all for now. Have a great week! [DataCamp] [DataCamp]( DataCamp Inc. | 350 Fifth Avenue | Suite 7730 | New York, NY 10118 [Facebook] [Facebook]( [Twitter] [Twitter]( [LinkedIn] [LinkedIn]( [YouTube] [YouTube]( [Unsubscribe](

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