By Boris B – 34 min read
In this notebook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator.
Exploratory Design in Data Visualization
By Elijah Meeks and Jason Forrest – 10 min read
One of the most challenging tasks for a data visualization designer is convincing their stakeholders that an unfamiliar technique is more effective than a common one.
The most important idea in statistics
By Cassie Kozyrkov – 4 min read
Populations, samples, and hypotheses? Or perhaps you took a course that emphasized probabilities, distributions, p-values, and confidence intervals? All of these are pieces of the puzzle, but they’re downstream from the core.
A Gentle Introduction to Exploratory Data Analysis
By Daniel Bourke – 19 min read
Pink singlet, dyed red hair, plated grey beard, no shoes, John Lennon glasses. What a character. Imagine the stories he’d have. He parked his moped and walked into the cafe.
The Reality of Global Nuclear Weapons and How Russian Nukes Turned On Your Lights
By Will Koehrsen – 11 min read
On a warm Boston summer in 2018, I was just settling onto the lawn at the Hatch Memorial Shell for a performance of my favorite symphony – Holst’s The Planets – when I saw a tent set up by the Union of Concerned Scientists.
I tracked my happiness each day of 2018
By Nhan Thanh Vu – 7 min read
I tracked my mental health each day throughout 2018. I rated my happiness on a scale of 1–5, with "1" being a really bad day, "2" being a kind of bad day, "3" being a neutral day, "4" being a kind of good day, and "5" being a really good day.
Who’s That Pokémon?
By Yish Lim – 5 min read
So I’ve been a lifelong Pokémon fan and a recently-converted Computer Science nerd. While my main interest lies in Data Science (plug for my last post on the Ethics of Data Science), I find myself thinking up random coding projects all the time, most of which never come to fruition.
Top Sources For Machine Learning Datasets
By Will Badr – 4 min read
It can be quite hard to find a specific dataset to use for a variety of machine learning problems or to even experiment on. The list below does not only contain great datasets for experimentation but also contains a description, usage examples and in some cases the algorithm code to solve the machine learning problem associated with that dataset.
