Domino Data Lab

JULY 10, 2019

For example, there have been multiple promising tools created recently that have Python APIs, are built on top of TensorFlow or PyTorch , and encapsulate deep learning best practices to allow data scientists to speed up research. He summarized the magic of Ludwig into three things: The data type extraction. Introduction.

Deep Learning 110

Deep Learning Visualization Recreation/Entertainment Data Processing 110

Domino Data Lab

JANUARY 21, 2021

Producing insights from raw data is a time-consuming process. The Importance of Exploratory Analytics in the Data Science Lifecycle. Exploratory analysis is a critical component of the data science lifecycle. Predictive modeling efforts rely on dataset profiles , whether consisting of summary statistics or descriptive charts.

Statistics 106

Statistics Unstructured Data Data Science Visualization 106

Domino Data Lab

OCTOBER 14, 2020

Guest post by Jeff Melching, Distinguished Engineer / Chief Architect Data & Analytics. We’ve developed a model-driven software platform, called Climate FieldView , that captures, visualizes, and analyzes a vast array of data for farmers and provides new insight and personalized recommendations to maximize crop yield.

Experimentation 99

Experimentation Deep Learning Modeling Testing 99

Domino Data Lab

MAY 20, 2021

Further, imbalanced data exacerbates problems arising from the curse of dimensionality often found in such biological data. Insufficient training data in the minority class — In domains where data collection is expensive, a dataset containing 10,000 examples is typically considered to be fairly large.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

Domino Data Lab

DECEMBER 2, 2020

Cluster Analysis is an important problem in data analysis. Data scientists use clustering to identify malfunctioning servers, group genes with similar expression patterns, and perform various other applications. There are many families of data clustering algorithms, and you may be familiar with the most popular one: k-means.

Metrics 116

Metrics KDD Testing Machine Learning 116

Domino Data Lab

JUNE 8, 2021

In this blog post we take a deep dive into the internals of Support Vector Machines. Figure 1 – There are infinitely many lines separating the two classes, but a good generalisation is achieved by the one that has the largest distance to the nearest data point of any class. 1999) and more. 1999) and more.

Optimization 76

Optimization Machine Learning Data Science Measurement 76

Domino Data Lab

JULY 17, 2021

Basics of digital signal processing. A signal is defined as any physical quantity that varies with time, space or any other independent variables. Furthermore, most of the signals encountered in science and engineering are analog in nature. The interface is called analog-to-digital (A/D) converter. Source: [link] ). Source: [link] ).

Data Science 64

Data Science Visualization IT 64