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Kafdrop
As a messaging platform, Kafka needs no introduction. Since its inception, it has virtually rewritten the book on event streaming and has catalyzed the adoption of the now household design patterns —…...
Read more at Towards Data Science | Find similar documentsKLDivLoss
The Kullback-Leibler divergence loss. For tensors of the same shape y pred , y true y_{\text{pred}},\ y_{\text{true}} y pred , y true , where y pred y_{\text{pred}} y pred is the input and y tru...
Read more at PyTorch documentation | Find similar documentsIntroducing K-FAC
In this article, I summarize Kronecker-factored Approximate Curvature (K-FAC) (James Martens et al., 2015), one of the most efficient second-order optimization method for deep learning. The heavy…
Read more at Towards Data Science | Find similar documentsWhat the f?
I know you are eager to find out what this ‘f’ word actually is. Stay with me, we will get to it very soon. One thing I can tell you right away is that regardless of your familiarity with Machine…
Read more at Towards Data Science | Find similar documentsKNN
K-Nearest Neighbors is simple algorithm. The elegance of this algorithm lies in it’s simplicity. Despite it’s various drawback’s such as high compute time in high dimension data it is still widely…
Read more at Analytics Vidhya | Find similar documentsThe Four F’s
I teach a 3rd year undergraduate course on data science. It is not your typical course of lectures, practicals and tutorials. Lectures are few and far between and it is more about the practice of…
Read more at Towards Data Science | Find similar documentsQueue FI-FO Fun
While implementing optimizations, software developers may encounter performance issues that extend beyond a particular function or module. A potential problem in architecture, where two modules are ti...
Read more at Level Up Coding | 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 documentsUsing
Using importlib.metadata New in version 3.8. Changed in version 3.10: importlib.metadata is no longer provisional. Source code: Lib/importlib/metadata/__init__.py importlib.metadata is a library that...
Read more at The Python Standard Library | Find similar documentsBokeh
Bokeh is a data visualization library that builds visuals in Python and outputs them in JavaScript.
Read more at Full Stack Python | Find similar documentsPyDev of the Week: K Lars Lohn
This week we welcome K Lars Lohn (@2braids) as our PyDev of the Week! He has been a part of the Python community for quite a few years. You can learn a bit more about him over on his blog or by checki...
Read more at Mouse Vs Python | Find similar documentsThe first effort I made in a TKD competition
The first effort I made in a TKD competition November 2, 2008 This was originally posted on blogger here . The final result? I tied for second in the over 35 category. I had managed to catch a flu bug...
Read more at Daniel Roy Greenfeld Blog | Find similar documentsLeetspeak
40 Leetspeak There’s no better way to demonstrate your mad hacker skills than by replacing letters in your text with numbers: m4d h4x0r 5k1llz!!! This word program automatically converts plain Englis...
Read more at The Big Book of Small Python Projects | Find similar documentsGame Playing
In game playing, first, let's look at minimax algorithm which will help us to find an optimum move to win the game. In the next lesson, we will look at tic-tac-toe game where we will use minimax…
Read more at Towards Data Science | Find similar documentsStorming the Kaggle Leaderboard
While I study deep learning, I like to practice the theory by entering Kaggle competitions. Previously, I created a Convolutional Neural Network with TensorFlow to join the Cats vs. Dogs competition…
Read more at Towards Data Science | Find similar documentsCurrying
Currying is an advanced technique of working with functions. It’s used not only in JavaScript, but in other languages as well. Currying is a transformation of functions that translates a function from...
Read more at Javascript.info | Find similar documentsAttempting to Predict the Result of an NBA Game before you could Finish Watching the First Half
Modeling natural processes with machine learning is not easy. Your average data scientist can spend countless hours scraping data together, let alone cleaning it. From there, they also must consider…
Read more at Towards Data Science | Find similar documentsKubeflow is More Accessible than Ever, with MiniKF
Get started with the best Machine Learning platform for Kubernetes in 10 minutes.
Read more at Towards Data Science | Find similar documentsAutocorrect
Autocorrect is the saving grace for us all. The number of times I’ve gone to type a message and it would come out as if I am drunk then autocorrect intercedes on my behalf — Oh, how I love you…
Read more at Towards Data Science | Find similar documentsOne Year of Consistent Kaggling: What Did It Teach Me?
Competitions are more valuable than other components Kaggle is a platform for users to gain hands-on experience on practical data science and machine learning. It has 4 different progression componen...
Read more at Towards Data Science | Find similar documentsDyBall Shots: K-Means vs. HDBSCAN
Clustering analysis on soccer shots with Dybala, Pogba & friends Continue reading on Towards AI
Read more at Towards AI | Find similar documentsNailing Dutch Hogs with My Golden Hammer
Math puzzles are often solved analytically. Can we apply auto diff and gradient descent, the same process for training neural networks, on a math puzzle?
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