CIO Business Intelligence

APRIL 25, 2022

The data science path you ultimately choose will depend on your skillset and interests, but each career path will require some level of programming, data visualization, statistics, and machine learning knowledge and skills. On-site courses are available in Munich. Remote courses are also available. Switchup rating: 5.0 (out

Data Science 145

Data Science Machine Learning Deep Learning Statistics 145

Cloudera

OCTOBER 26, 2022

Deep Learning for Anomaly Detection : ?? Apply modern, deep learning techniques for anomaly detection to identify network intrusions. Deep Learning for Image Analysis : Build a semantic search application with deep learning models. AMPs so far include: .

Machine Learning 76

Machine Learning Deep Learning Cost-Benefit Forecasting 76

Domino Data Lab

OCTOBER 9, 2019

Paco Nathan’s latest article covers data practices from the National Oceanic and Atmospheric Administration (NOAA) Environment Data Management (EDM) workshop as well as updates from the AI Conference. Even for organizations engaged in markedly different verticals, there is much to learn from them on how to approach data practices.

Deep Learning 69

Deep Learning Metadata Machine Learning Data Science 69

Smart Data Collective

JULY 1, 2023

There are a lot of image annotation techniques that can make the process more efficient with deep learning. This he’s just one of the many ways that artificial intelligence has significantly improved outcomes that rely on visual media. Open communication fosters a sense of teamwork and helps resolve issues promptly.

Metrics 64

Metrics Machine Learning Uncertainty Deep Learning 64

Perceptual Edge

DECEMBER 27, 2017

I’ve ended my public Visual Business Intelligence Workshops and quarterly Visual Business Intelligence Newsletter , in part, to make time for other ventures. You have perhaps noticed that here, in my Perceptual Edge blog articles, I sometimes veer from data visualization to reflect my broader interests. Deep learning.

Deep Learning 48

Deep Learning Visualization Business Intelligence Technology 48

Domino Data Lab

AUGUST 1, 2021

The interest in interpretation of machine learning has been rapidly accelerating in the last decade. This can be attributed to the popularity that machine learning algorithms, and more specifically deep learning, has been gaining in various domains. Methods for explaining Deep Learning. Ribeiro, M.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

O'Reilly on Data

DECEMBER 12, 2019

If you’re using Python and deep learning libraries, the CleverHans and Foolbox packages can also help you debug models and find adversarial examples. 2] The Security of Machine Learning. [3] Figure 1 illustrates an example adversarial search for an example credit default ML model. If so, have fun debugging! [1]

Machine Learning 187

Machine Learning Modeling Testing Risk Management 187