DataKitchen

APRIL 13, 2021

Observe, optimize, and scale enterprise data pipelines. . DataOps requires that teams measure their analytic processes in order to see how they are improving over time. A complete DataOps program will have a unified, system-wide view of process metrics using a common data store. Monte Carlo Data — Data reliability delivered.

Testing 300

Testing Machine Learning Consulting Data Quality 300

O'Reilly on Data

MARCH 31, 2020

Measurement, tracking, and logging is less of a priority in enterprise software. Many consumer internet companies invest heavily in analytics infrastructure, instrumenting their online product experience to measure and improve user retention. These companies eventually moved beyond using data to inform product design decisions.

Management 339

Management Machine Learning Experimentation Metrics 339

IBM Big Data Hub

SEPTEMBER 6, 2023

Search engine optimization (SEO): Deploying an AI solution to enhance search engine optimization (SEO) helps marketers increase page rankings and develop more sound strategies. AI can help marketers create and optimize content to meet the new standards.

Marketing 78

Marketing Technology Advertising ROI 78

IBM Big Data Hub

FEBRUARY 23, 2024

Machine learning (ML) and deep learning (DL) form the foundation of conversational AI development. It signifies a shift in human-digital interaction, offering enterprises innovative ways to engage with their audience, optimize operations, and further personalize their customer experience. billion by 2030.

Enterprise 95

Enterprise Interactive Data-driven Key Performance Indicator 95

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. See Wei et al.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

IBM Big Data Hub

AUGUST 11, 2023

MLOps is the next evolution of data analysis and deep learning. Simply put, MLOps uses machine learning to make machine learning more efficient. Conduct validation in the error process—This method measures how good the guesswork was by comparing it to known examples when available. MLOps and IBM Watsonx.ai

Data Science 53

Data Science Machine Learning Cost-Benefit Deep Learning 53

CIO Business Intelligence

JANUARY 4, 2023

Workflow Optimization from Edge to Core/Cloud and Back : Integration with edge devices as well as integration with different HPC systems is currently designed in-house or otherwise customized. Of course, data center challenges are also driving demand for these alternatives. Just starting out with analytics?

Cost-Benefit 59

Cost-Benefit Machine Learning Modeling Uncertainty 59

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. Essential Theory of Reinforcement Learning.

Optimization 111

Optimization Modeling Deep Learning Metrics 111

Business Over Broadway

DECEMBER 20, 2018

Predictive analytics and artificial intelligence capabilities provide a way to extract insights from that data to help you improve the customer experience and optimize customer loyalty. Looking ahead to 2018, data professionals are most interested in learning deep learning (41%).

Machine Learning 74

Machine Learning Data Science Deep Learning Predictive Analytics 74

Edwin Chen

OCTOBER 6, 2014

How do you measure its quality, to make sure that it's sending users relevant and personalized content? Click-through rate may be your initial hope…but after a bit of thought, it's not clear that it's the best metric after all. Is CTR a good measure? So why, so often, do we never try to measure the relevance of our models?

Metrics 79

Metrics Measurement Machine Learning Testing 79

Cloudera

FEBRUARY 16, 2022

blueberry spacing) is a measure of the model’s interpretability. By logging the performance of every combination of search parameters within an experiment, we can choose the optimal set of parameters when building a model. Will the model correctly determine it is a muffin or get confused and think it is a chihuahua? Model Visibility.

Machine Learning 85

Machine Learning Modeling Metadata Recreation/Entertainment 85

Domino Data Lab

JUNE 23, 2019

Companies with successful ML projects are often companies that already have an experimental culture in place as well as analytics that enable them to learn from data. Ensure that product managers work on projects that matter to the business and/or are aligned to strategic company metrics. That’s another pattern.

Management 110

Management Machine Learning Experimentation Metrics 110

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

DataRobot Blog

APRIL 22, 2022

In our previous post , we talked about how red AI means adding computational power to “buy” more accurate models in machine learning , and especially in deep learning. We also talked about the increased interest in green AI, in which we not only measure the quality of a model based on accuracy but also how big and complex it is.

Machine Learning 98

Machine Learning Measurement Deep Learning Manufacturing 98

Insight

MARCH 28, 2019

To measure this sentiment, Derek classified each sentence in a review as belonging to one of five categories: Culture & Values, Work/Life Balance, Senior Management, Compensation & Benefits, Career Opportunities (the same five dimensions Glassdoor asks employees to rate along). Yanxia Li earned her Ph.D.

Dashboards 70

Dashboards Visualization Data Science Machine Learning 70

IBM Big Data Hub

NOVEMBER 14, 2023

Internal data monetization initiatives measure improvement in process design, task guidance and optimization of data used in the organization’s product or service offerings. Realize : Each data service has an agreed unit of value which is transacted and measured.

Strategy 104

Strategy Cost-Benefit Data-driven Measurement 104