CIO Business Intelligence

DECEMBER 20, 2023

Since the last mile process is highly agile, CIOs must ensure the software systems have built-in deep learning capabilities to make in-the-moment decisions. For example, Uber and Zomato use a deep learning algorithm that considers driver location and overall ratings while mapping them to particular orders/bookings.

Software 99

Software Deep Learning B2B Cost-Benefit 99

Rocket-Powered Data Science

DECEMBER 16, 2018

So, you start by assuming a value for k and making random assumptions about the cluster means, and then iterate until you find the optimal set of clusters, based upon some evaluation metric. What is missing in the above discussion is the deeper set of unknowns in the learning process. This is the meta-learning phase.

Machine Learning 203

Machine Learning Metrics Optimization Data Science 203

O'Reilly on Data

JULY 28, 2020

Ethics and Data Science is a short book that helps developers think through data problems, and includes a checklist that team members should revisit throughout the process. If this sounds fanciful, it’s not hard to find AI systems that took inappropriate actions because they optimized a poorly thought-out metric.

Marketing 363

Marketing Experimentation Metrics Testing 363

DataRobot

FEBRUARY 10, 2021

Deep Learning for Coders with fastai and PyTorch: AI Applications Without a PhD by Jeremy Howard and Sylvain Gugger is a hands-on guide that helps people with little math background understand and use deep learning quickly. Target leakage helped to explain the very low scores of the deep learning models.

Modeling 98

Modeling Deep Learning Machine Learning Testing 98

Domino Data Lab

AUGUST 29, 2019

This article provides an excerpt “Deep Reinforcement Learning” from the book, Deep Learning Illustrated by Krohn , Beyleveld , and Bassens. The article includes an overview of reinforcement learning theory with focus on the deep Q-learning. The contents will cover.

Optimization 111

Optimization Modeling Deep Learning Metrics 111

Edwin Chen

OCTOBER 6, 2014

How do you measure its quality, to make sure that it's sending users relevant and personalized content? Metrics like CTR, or even number of favorites and retweets, will probably optimize for showing quick one-liners and pictures of funny cats. Is CTR a good measure? Take Google's search engine. What about revenue?

Metrics 79

Metrics Measurement Machine Learning Testing 79

Domino Data Lab

MAY 8, 2019

Visualizations are vital in data science work, with the caveat that the information that they convey may be 4-5 layers of abstraction away from the actual business process being measured. measure the subjects’ ability to trust the models’ results. Information can get quite distorted after being abstracted that many times.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105