3D model and animation by Jeremy White via NYT.Read More
What I learned from my Uber data
I save $703/month using Uber versus owning 2 cars (🚙🏎). I’ve spent $12,041 on 686 Ubers over 6 years. By comparison, car ownership cost $11,783 per year, most of it depreciation. What could $703/month buy you? Well, four years of $703/month and you’ll save enough to climb Mount Everest 🏔 unguided. Or you could buy a shiny new laptop every 3 months. More details below. Continue reading “In-depth– Spend analysis of 6 years 686 rides and $12,041 spent on Uber”Read More
Photo credit National Geographic Magazine, November 2016.
Earlier this week I blogged about 5 simple questions you can ask to determine AI hype.
Today I saw something with more hype than I would expect from a respected tech company. “eBay determines this price through a machine learned model of the product’s sales prices within the last 90 days.”
In my opinion this price prediction is not machine learning. It’s just math. It’s not a machine learned anything. It fails 1-5 of Stephen’s tests.
As Machine Learning captures our imagination, it’s important to separate the material from the hype. Here are 5 simple questions you should ask to help reduce AI hype:
- “How much training data is required?”
- “Can this work unsupervised (= without labelling the examples)?”
- “Can the system predict out of vocabulary names?” (i.e. Imagine if I said “My friend Rudinyard was mean to me” – many AI systems would never be able to answer “Who was mean to me?” as Rudinyard is out of its vocabulary)
- “How much does the accuracy fall as the input story gets longer?”
- “How stable is the model’s performance over time?”
source: Stephen Merity of SalesforceRead More
Skip to 3:01 to learn how the automobile differential allows a vehicle to turn a corner while keeping the wheels from skidding. It’s a brilliant product break-down using language and concepts to conceptualize the product features into something that everyone understands and wants to buy.Read More
Snow caves are fun to build and provide warm places to sleep and take shelter from a storm. This is a brief how-to guide to building a snow cave.
The snow cave in this example was built by 4 people near Skinner Hut at the edge of the timberline in late-December 2015 at 11,620 feet. Builders were Brett Poulin, Chris, Nick, and me, Neal Mueller. The cave we built was large enough to sleep and provide eating quarters and shelter for 4 people. It included a vapor escape for cooking.Read More
This guy analyzed 250 SaaS pricing pages — here’s what he found:
- The average number of packages is three and a half
- 50% highlight a package as the best option
- 69% of companies sell the benefits
- 81 percent organize prices low to high
- 38 percent list their most expensive package as ‘Contact us’
- The most common call to action is ‘Buy Now’
- 36 percent don’t use a contrasting CTA color
- 63 percent offer a free trial
- 4% of companies offer pricing on a sliding scale
- 81 percent of packages are named
- 6% show a money back guarantee on-page
Read the full report.Read More
Want to know how to spell “Red Bull gives you wiiings.” in hexadecimal? Check out these two red bull advertisement in silicon valley. Here’s a hex to text converter to see for yourself. It’s not a recruiting ad, because this is the only job they have in SF. Must be just advertising to thirsty programmers. I love it.
52 65 64 20 42 75 6c 6c 20 67 69 76 65 73 20 79 6f 75 20 77 69 69 69 6e 67 73 2e