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Evolving Architectures: How Adapting to Context Leads to Better Software Solutions
Make architectural decisions based on merit, not emotion Continue reading on Better Programming
Read more at Better Programming | Find similar documentsOur Team
Ben Huberman. Hello, TDS readers! I joined TDS as Editor in Chief during the cold, short days of January 2021, and have been learning new things about data and AI literally every day since. Like many…...
Read more at Towards Data Science | Find similar documentsWeekly Selection
thank you for continuing to support Towards Data Science. This week we extend the theme of our monthly Data Science primer, presenting to you some of this week’s best AI posts. We are delighted to…
Read more at Towards Data Science | Find similar documentsKnow your biases
What you should beware of when you collect the data.
Read more at Towards Data Science | Find similar documentsOur Tags
Our most frequently used tags are listed below. If you’d like to search for a particular tag, you can do that by going to http://towardsdatascience.com/tagged/[tag] and replacing [tag] with the term…
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Versions [{“Name”:“Java SE 1.4”,“GroupName”:null},{“Name”:“Java SE 5”,“GroupName”:null},{“Name”:“Java SE 6”,“GroupName”:null},{“Name”:“Java SE 7”,“GroupName”:null},{“Name”:“Java SE 8”,“GroupName”:null...
Read more at Essential Java | Find similar documentsThe Love Of Cricket
How data from the last 10 years of ODI(One Day International) matches are able to predict match-winner! Even before the match toss is flipped. During the WorldCup, we observed many times that when…
Read more at Analytics Vidhya | Find similar documentsWho’s your Number 1 Supporter on Strava?
Who’s Your Number-One Supporter on Strava? Explore the Strava API and find out with Python Photo by Viktor Bystrov on Unsplash 1 Motivation In the past few years Strava became my go-to app to track m...
Read more at Towards Data Science | Find similar documentsLatest picks: A Better Way To Vote
Our Columns
We publish dozens of top-notch articles every day. To help you find some of the very best ones, we’ve created several collections organized around specific topics and post types. For example, you…
Read more at Towards Data Science | Find similar documentsBeating the Odds
This is the first installment in my weekly sports themed series. Each week I’ll demonstrate applications of data science and seek to provide thoughtful analysis and insight into the games we love to…
Read more at Towards Data Science | Find similar documentsFinding the favorite team in 2018 FIFA World Cup through scraping Tweets
On the eve of 14th June,an acclaimed religious festival of all football followers — FIFA World Cup 2018 began in Russia.This month long prestigious sports bonanza will be celebrated across the globe…
Read more at Towards Data Science | Find similar documentsLists
Lists Lists in Python represent ordered sequences of values. Here is an example of how to create them:/nWe can put other types of things in lists:/nWe can even make a list of lists:/nA list can conta...
Read more at Kaggle Learn Courses | Find similar documentsWhich Premier League team has the most impactful home fans?
Home advantage has been a widely studied phenomena in football. The benefits are said to mostly come from reduced travel and the presence of home fans. Home fans pride themselves on the impact they…
Read more at Towards Data Science | Find similar documents12. Collections
Python ships with a module that contains a number of container data types called Collections. We will talk about a few of them and discuss their usefulness. The ones which we will talk about are: def...
Read more at Python tips | Find similar documentsGuesstimates
Hello all. Welcome to this particular article about how to solve a guesstimate and how to excel in a guesstimate. I will guide you in a very easy way so that it will be very helpful for you to solve…
Read more at Analytics Vidhya | Find similar documentsBeyond Accuracy: Embracing Serendipity and Novelty in Recommendations for Long Term User Retention
A Bond of Trust Formed at a Coffee Shop You’re sitting in a coffee shop, savoring your favorite coffee variation (a cappuccino, of course ) and engrossed in conversation with a friend. As the conversa...
Read more at Towards Data Science | Find similar documentsWho is on your Blogroll?
Who is on your Blogroll? Who do you recommend following? Let me know in the responses because I want Better Programming to do a better job (no pun intended) of highlighting the best of Medium. We’ve a...
Read more at Better Programming | Find similar documentsWeekly Selection — Jan 4, 2019
How do you get started in data science, when you don’t have a science degree? As I explored the job offers, nearly all of them listed education in maths, statistics, computer science or at least a…
Read more at Towards Data Science | Find similar documentsLatest picks: Representation and Bias
Movie Recommender using Collaborative Filtering
Everywhere we go online nowadays seems to be followed by something like “your top picks” or “based on your previous…”; these Netflix movies that appear more often, or Spotify songs that keep showing…
Read more at Analytics Vidhya | Find similar documentsBuilding a Player Recommender Tool
I will take you through a journey of designing an end to end, simple implementation of a nearest-neighbors based recommendation system working on the latest football data available. The goal (no pun…
Read more at Analytics Vidhya | Find similar documentsBalancing Act: Addressing Popularity Bias in Recommendation Systems
Photo by Melanie Pongratz on Unsplash You woke up one morning and decided to treat yourself by buying a new pair of shoes. You went on your favorite sneaker website and browsed the recommendations giv...
Read more at Towards Data Science | Find similar documentsWeekly Selection — August 16, 2019
Techniques for creating new features, detecting outliers, handling imbalanced data, and impute missing values. The challenge in establishing a common understanding of AI hearkens back to debates over…...
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