MRNet: Deep-learning-assisted diagnosis for knee MRI scans
59 minutes ago, towardsdatascience

And a kaggle-like competition hosted by Stanford ML GroupLast week I visited Estepona, a town in southern Spain, for a week-long coding retreat. I worked on reproducing the MRNet paper using PyTorch from scratch, as part of participating in the MRNet Competition.I have open-sourced the code so you can use it as a starting point to participate in the competition too. You can access all the code and Jupyter notebooks from the MRNet GitHub repo.Let’s help advance the safe use of AI in medical imagi...

Log Book — Practical guide to Linear & Polynomial Regression in R
1 hour ago, towardsdatascience

This is a practical guide to linear and polynomial regression in R. I have tried to cover the basics of theory and practical…Continue reading on Towards Data Science »...

Book Titles Are Getting Longer
4 hours ago, towardsdatascience

A Data Analysis of Trends in the World of PrintContinue reading on Towards Data Science »...

Data Mining for Sustainable Data Management
4 hours ago, towardsdatascience

In the rapidly expanding technological world of today, when smartphones, tablets, PCs have become an inseparable part of the human life…Continue reading on Towards Data Science »...

Data Cleaning with No Code: Detecting and Fixing Missing Values
4 hours ago, towardsdatascience

Clean your datasets without having to resort to any programming language or data science library. Do everything from a modern, intuitive…Continue reading on Towards Data Science »...

How to Find Shortest Dependency Path with spaCy and StanfordNLP
4 hours ago, towardsdatascience

Shortest dependency path is a commonly used method in relation extractionPhoto by Caleb Jones on UnsplashTL;DRConsidering the documentation and dependency parsing accuracy, I recommend using spaCy than StanfordNLP.The content is structured as follows.What is Shortest Dependency Path (SDP)?Find Shortest Dependency Path with spaCyFind Shortest Dependency Path with StanfordNLPWhat is Shortest Dependency Path (SDP)?Semantic dependency parsing had been frequently used to dissect sentence and to captu...

How to make stunning 3D Plots for better storytelling?
4 hours ago, towardsdatascience

Before we begin, This is not a fight between 2D vs 3D plots — nor this is to claim that 3D Plots are superior to 2D, because it’s got one-extra dimension. In fact, I’m one of those who try to avoid adding too much to a plot that the plot loses its own plot. But there are instances when you know you can be better at storytelling by using 3D plots. This article is to help you in those instances!3D Plots built in the right way for the right purpose are always stunning. In this article, we’ll see ho...

Model Selection, Tuning and Evaluation in K-Nearest Neighbors
5 hours ago, towardsdatascience

The core of the Data Science lifecycle is model building. Although relatively unsophisticated, a model called K-nearest neighbors, or KNN…Continue reading on Towards Data Science »...

What is Out of Bag (OOB) score in Random Forest?
6 hours ago, towardsdatascience

This blog attempts to explain the internal functioning of oob_score when it is set as true in the “RandomForestClassifier” in “Scikit learn” framework. This blog describes the intuition behind the Out of Bag (OOB) score in Random forest, how it is calculated and where it is useful.In the applications that require good interpretability of the model, DTs work very well especially if they are of small depth. However, DTs with real-world datasets can have large depths. Higher depth DTs are more pron...

Nvidia’s new Data Science Workstation — a review and benchmark
7 hours ago, towardsdatascience

PICTURES LIST = Workstation, GPU, Imagenet / tensorflow / benchmarks, CPU + RAM usage.Continue reading on Towards Data Science »...

Introduction to Github for Data Scientists
7 hours ago, towardsdatascience

Master the basics of GithubContinue reading on Towards Data Science »...

An Intro to Deep Learning for Face Recognition
7 hours ago, towardsdatascience

An ultimate explanation for newbies with relevant links.Continue reading on Towards Data Science »...

The Complete Guide to Classification in Python
7 hours ago, towardsdatascience

Dive deep into the inner workings of logistic regression, LDA, and QDA, and implement each algorithm in project setting.Continue reading on Towards Data Science »...

The Intuition Behind Correlation
8 hours ago, towardsdatascience

What does it really mean for two variables to be correlated? We’ll answer that question in this article. We’ll also develop an intuitive…Continue reading on Towards Data Science »...

Savant Syndrome of Neural Networks
11 hours ago, towardsdatascience

Neural networks behave like savants in the digital world. Let’s derive remarkable insights about their capabilities using a simple model.Continue reading on Towards Data Science »...

Generalization Bounds: rely on your Deep Learning models
13 hours ago, towardsdatascience

How will your Deep Learning system perform on new data (generalize)? How bad can its performance get? Estimating the ability of an…Continue reading on Towards Data Science »...

AI generating football video game commentary
14 hours ago, towardsdatascience

My approach to generating dynamic commentary in real time for Google’s football environment using GPT-2 language model.Continue reading on Towards Data Science »...

Quantifying Chatroom Toxicity
20 hours ago, towardsdatascience

Using Machine Learning to Identify Hate in Online ChatroomsContinue reading on Towards Data Science »...

7 Tips for Dealing With Small Data
21 hours ago, towardsdatascience

Because more often than not, that’s what you’re gonna get.We often hear that Big Data is the key to building successful machine learning projects.This is a major problem: Many organizations won’t have the data you need.How can we prototype and validate machine learning ideas without the most essential raw material? How can we efficiently obtain and create value with data when resources are sparse?At my workplace, we produce a lot of functional prototypes for our clients. Because of this, I often...

Political Python
21 hours ago, towardsdatascience

Scraping Congressional documents with ScrapyContinue reading on Towards Data Science »...

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