Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science

20 Mar 20161 code implementation

As the field of data science continues to grow, there will be an ever-increasing demand for tools that make machine learning accessible to non-experts.

AUTOMATED FEATURE ENGINEERING HYPERPARAMETER OPTIMIZATION NEURAL ARCHITECTURE SEARCH

Automating biomedical data science through tree-based pipeline optimization

28 Jan 20161 code implementation

Over the past decade, data science and machine learning has grown from a mysterious art form to a staple tool across a variety of fields in academia, business, and government.

HYPERPARAMETER OPTIMIZATION

Deep Feature Synthesis: Towards Automating Data Science Endeavors

DSAA 2015 2015 1 code implementation

In this paper, we develop the Data Science Machine, which is able to derive predictive models from raw data automatically.

AUTOMATED FEATURE ENGINEERING

Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence

12 Feb 20201 code implementation

Smarter applications are making better use of the insights gleaned from data, having an impact on every industry and research discipline.

Randomized Near Neighbor Graphs, Giant Components, and Applications in Data Science

13 Nov 20173 code implementations

If we pick $n$ random points uniformly in $[0, 1]^d$ and connect each point to its $k-$nearest neighbors, then it is well known that there exists a giant connected component with high probability.

Real numbers, data science and chaos: How to fit any dataset with a single parameter

28 Apr 20191 code implementation

We show how any dataset of any modality (time-series, images, sound...) can be approximated by a well-behaved (continuous, differentiable...) scalar function with a single real-valued parameter.

TIME SERIES

Evaluating recommender systems for AI-driven data science

22 May 20191 code implementation

The recommender system learns online as results are generated.

RECOMMENDATION SYSTEMS

A System for Real-Time Interactive Analysis of Deep Learning Training

5 Jan 20201 code implementation

To achieve this, we model various exploratory inspection and diagnostic tasks for deep learning training processes as specifications for streams using a map-reduce paradigm with which many data scientists are already familiar.

Fashion-Gen: The Generative Fashion Dataset and Challenge

21 Jun 20181 code implementation

We introduce a new dataset of 293, 008 high definition (1360 x 1360 pixels) fashion images paired with item descriptions provided by professional stylists.

IMAGE GENERATION