CIO Business Intelligence

APRIL 12, 2024

Computer vision skills are important for helping AI systems with image classification, object detection and recognition, 3D reconstructions, biometric data collection, and motion tracking and analysis.

Deep Learning 124

Deep Learning IT Machine Learning IoT 124

Cloudera

JUNE 2, 2022

Since 2015, the Cloudera DataFlow team has been helping the largest enterprise organizations in the world adopt Apache NiFi as their enterprise standard data movement tool. Instead they built or purchased tools for data collection that are confined with a class of sources and destinations.

Enterprise 104

Enterprise Data Lake Data Collection Data-driven 104

CIO Business Intelligence

JULY 13, 2022

Since 2015, the Cloudera DataFlow team has been helping the largest enterprise organizations in the world adopt Apache NiFi as their enterprise standard data movement tool. Instead they built or purchased tools for data collection that are confined with a class of sources and destinations.

Enterprise 88

Enterprise Data Lake Data Collection Data-driven 88

Occam's Razor

OCTOBER 12, 2017

When you go to the interview, the hiring company will proceed to ask questions that test your competency in the listed job requirements. Test for analytics experience AND explore the level of analytical thinking the job candidate possesses. There is one other video I want you to watch, from the 2015 edition. This is normal.

Marketing 138

Marketing Analytics Machine Learning Strategy 138

IBM Big Data Hub

AUGUST 11, 2023

Machine learning engineers take massive datasets and use statistical methods to create algorithms that are trained to find patterns and uncover key insights in data mining projects. These insights can help drive decisions in business, and advance the design and testing of applications.

Data Science 53

Data Science Machine Learning Cost-Benefit Deep Learning 53

Domino Data Lab

AUGUST 1, 2021

After forming the X and y variables, we split the data into training and test sets. Looking at the target vector in the training subset, we notice that our training data is highly imbalanced. 2015) for additional details. For sample 23 from the test set, the model is leaning towards a bad credit prediction.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

Occam's Razor

SEPTEMBER 15, 2014

In this post we will look mobile sites first, both data collection and analysis, and then mobile applications. One way to overcome this issue is to use media-mix modeling to run tests and measure incrementality in results and attribute it to the optimal channel. It will save you hours and hours of time, effort and focus.

Metrics 143

Metrics Reporting Analytics Marketing 143