Calculus not required (plus big news from Mode!)
SKIP THE CALC
The real prerequisite for machine learning isn’t math, it’s data analysis
Machine learning amateurs, take heart. Proficiency with high level math may be essential for machine learning theory. But with out-of-the-box tools like R’s gmodels package or Python’s scikit-learn library, you don’t need to know linear algebra or calculus to build a successful predictive model. You do, however, need to know your way around a dataset. - Sharp Sight Labs
HOLE IN ONE
Golfers Join the Rest of World, Use Data
Decades after baseball front offices started using data to win games, some golfers are now turning to data to find ways to improve performance and devise course strategy. - The Wall Street Journal
BY THE DOZEN
One Chart, Twelve Tools & One Chart, Twelve Charting Libraries
Most data practitioners have a favorite data visualization tool—whether it’s ggplot, Seaborn, or good old-fashioned Excel. But for a beginner, the range of options can be overwhelming. These two posts explore 24 tools and libraries for creating the same bubble chart, complete with code. - Lisa Charlotte Rost
[PODCAST] Statistically Interesting
Craving a new data science podcast? Check out Statistically Interesting, a series of interviews with data science leaders at companies like Twitch, Vimeo, and Weebly. - Statistically Interesting
People are talking about: SF rental data
When someone mentions San Francisco’s housing shortage, they usually cite a limited dataset containing San Francisco Chronicle rental listings from 1979-2001. Eric Fischer took it upon himself to collect and analyze decades of new information by transcribing Chronicle rental ads from 1948-1979 and Craigslist rental listings from 2001 onward (and put it on Github).
- Employment, construction, and the cost of San Francisco apartments (Eric Fischer)
- A guy just transcribed 30 years of for-rent ads. Here’s what it taught us about housing prices (Michael Anderson)
What's goin' on Big news at Mode
Today we’ve got three exciting pieces of news to share (you can read the full announcement here):
- Introducing Mode Python Notebooks: Pass SQL query results straight into integrated Python notebooks for exploratory analysis.
- Free Python Tutorials: Today we’re publishing Python tutorials and practice problems that feature real-world business data.
- New Pricing: Mode pricing plans now start at $19 per user per month.
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