Eight hours into an incredible show of jaw-dropping northern lights, the fatigue started to hit. What began as a calm evening—me and the resident sheepdogs of the Ilungujuuk Hostel admiring the last sunset of my solo trip through south Greenland—had morphed into an all-night aurora borealis bonanza that kept me on my feet, my eyes…
Looking for the ultimate winter getaway? With access to multiple ski areas, tons of public lands for on-the-snow adventures, and exciting village and town hubs filled with dining, nightlife, and entertainment options, the South Shore of Lake Tahoe is hard to beat. We tapped the pros at Visit Lake Tahoe for their recs. Outside: What…
As we started our three-day backpacking trip along the northern rim of Yosemite Valley, the trailhead was a zoo. And this was several years ago, even before the pandemic accelerated visitation to our national park system. Still, Yosemite National Park has always been a popular destination, notorious for crowds over the decades. But after we…
It’s a Friday afternoon in fall, and the A27 highway is deserted as small Italian villages and dormant farmland pass by the windows of our rental car. I’m focused on the true crime podcast coming through the speakers when the low layer of clouds suddenly parts. The gasp I make rattles my husband Topher, who…
Health and wellness is highly personal. Sometimes our bodies want a challenging mountain trek and a big dose of carbs. Or, after I’ve adventured hard, I might crave a nourishing week of yoga or a few days of planted-based meals and mindfulness sessions, preferably on a beach somewhere. Other times, I long for the support…
For the past two decades, Dan Buettner has traveled the world gathering the wisdom of the world’s longest-living centenarians. The result is seven books for National Geographic on longevity and happiness, the most recent, The Blue Zones Secrets for Living Longer, published in 2023; the Netflix documentary Live to 100: Secrets of the Blue Zones, which…
In my early 20s, I zigzagged across Europe by train. Fresh out of college and pinching pennies on a month-long backpacking trip in Italy and Switzerland, I went by overnight rail, combining the cost of a room with travel to wake up in a new country each morning. It was amazing. Traveling long distance by…
Association rule learning is a technique used to uncover relationships or associations between items in large datasets, particularly used in market basket analysis. It aims to identify rules that describe how certain items often appear together. Two of the most popular algorithms for association rule learning are Apriori and Eclat. Apriori Algorithm: Principle: If an…
Clustering is an unsupervised machine learning method used to group similar instances (data points) into clusters without having prior labels for these groups. The idea is that data in one cluster is more similar to each other than to those in other clusters. Let’s delve into two of the most popular clustering algorithms: k-Means and…
The k-Nearest Neighbors (k-NN) algorithm is a simple, intuitive, and versatile supervised learning method used for classification and regression. The core idea behind k-NN is that similar data points (based on a certain distance measure) will have similar outcomes. How k-NN Works: Strengths of k-NN: Limitations of k-NN: Practical Considerations: In summary, k-NN is a…