See how to use Listener APIs and data quality libraries to get different levels of data observability for Apache Spark.

Correctly defining what makes a neural network deep is important. This post proposes an alternative definition to deep neural networks.

Or how to make sure the airplane’s altitude is not negative.

The real reasons why Artificial Intelligence is so hard

We know how to measure object detection performance, but how can this be done properly for video data?

Identifying duplicate records with a machine-learning approach

If you’re an aspiring creator or maintainer of open source machine learning frameworks, you might find these tips helpful.

Amazon's newly announced Custom Sounds and Custom Event Alerts features illustrate the potential of techniques like unsupervised learning.

Check out four different methods to implement typeahead search using Elasticsearch for a better end-user experience.

A detailed, step-by-swrite-up on how I built Text2Art.com

This article could save you hours in a matter of minutes thanks to parallelization and Numba

Understanding a Random Forest intuitively and predicting diabetes in real hospital patient data

A Friendly how-to guide on extracting Garmin Fenix data for people in a hurry

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Can OpenAI’s code-generation system deal with code from the punch card era?

A playbook for developing software with minimum frustration

A Lambda function is simple and straightforward function, that requires only the argument(s) and expression, as well as the lambda keyword

Posted in r/bigdata by u/Big_Data_Path • 1 point and 0 comments

IN this article we will explore deep learning with implementation in Julia programming language using some popular julia libraries

Market Basket Analysis helps to understand customer purchasing patterns, make data-driven decisions, and improve the customer experience.

How explainable machine learning models can provide strategic benefits to businesses.