O'Reilly on Data

OCTOBER 13, 2020

Our previous articles in this series introduce our own take on AI product management , discuss the skills that AI product managers need , and detail how to bring an AI product to market. The field of AI product management continues to gain momentum. While useful, these constructs are not beyond criticism. Monitoring.

Management 240

Management Metrics Machine Learning Modeling 240

Rocket-Powered Data Science

JULY 6, 2021

1) Automated Narrative Text Generation tools became incredibly good in 2020, being able to create scary good “deep fake” articles. MLOps takes the modeling, algorithms, and data wrangling out of the experimental “one off” phase and moves the best models into deployment and sustained operational phase.

Data-driven 279

Data-driven Machine Learning IoT Deep Learning 279

CIO Business Intelligence

JULY 8, 2022

This article was co-authored by Duke Dyksterhouse , an Associate at Metis Strategy. Road-mapping and transformations also become easier as each group can undertake the work that will most affect its assigned success metrics. Disadvantages.

Cost-Benefit 106

Cost-Benefit Measurement Modeling Metrics 106

IBM Big Data Hub

MARCH 4, 2024

This culture encourages experimentation and expertise growth. For example, by using compliance control scanning of terraform templates to fail provisioning if controls are not met. An AI+ enterprise also recognizes that alongside the necessary tools, fostering a culture that embraces AI and trains talent is crucial.

Enterprise 98

Enterprise ROI Risk Strategy 98

Occam's Razor

APRIL 29, 2013

Many used some data, but they unfortunately used silly data strategies/metrics. And silly simply because as soon as the strategy/success metric being obsessed about was mentioned, it was clear they would fail. It is a really good metric. There are many spectacular reasons for why Like (and +1s, Followers) is a horrible metric.

Marketing 166

Marketing Metrics Advertising Measurement 166

Occam's Razor

AUGUST 22, 2011

" + Strategic Analysis Articles. Tactical Analysis Articles. " ~ Web Metrics: "What is a KPI? " + Standard Metrics Revisited Series. Blogging Experience Articles. + Book Articles. Misc Articles. In each section the listing is from the latest article to the earliest.

KPI 124

KPI Metrics Measurement ROI 124

Domino Data Lab

JUNE 23, 2019

Skomoroch proposes that managing ML projects are challenging for organizations because shipping ML projects requires an experimental culture that fundamentally changes how many companies approach building and shipping software. Another pattern that I’ve seen in good PMs is that they’re very metric-driven.

Management 110

Management Machine Learning Experimentation Metrics 110

datapine

JANUARY 31, 2022

They’re about having the mindset of an experimenter and being willing to let data guide a company’s decision-making process. Renowned author Bernard Marr wrote an insightful article about Shell’s journey to become a fully data-driven company. What Are The Benefits of Business Intelligence? Let’s look at our first use case.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

DataRobot Blog

JULY 28, 2022

This article presents a case study of how DataRobot was able to achieve high accuracy and low cost by actually using techniques learned through Data Science Competitions in the process of solving a DataRobot customer’s problem. Ultimately, the evaluation is based on whether or not the model delivers success to the customers’ business.

Data Science 72

Data Science Machine Learning Statistics Modeling 72

The Unofficial Google Data Science Blog

JANUARY 16, 2018

by SANGHO YOON In this article, we discuss an approach to the design of experiments in a network. Experimentation on networks A/B testing is a standard method of measuring the effect of changes by randomizing samples into different treatment groups. Consider the case where experiment metrics are evaluated at the per-user level.

Testing 58

Testing Experimentation Measurement Modeling 58

Occam's Razor

FEBRUARY 28, 2017

To ensure customer delight was delivered in a timely manner, it was also decided that Average Call Time (ACT) would now be The success metric. The success metric, ACT, did go down. That ACT was an activity metric was terrible – if you have a The success metric, it should always be an outcome metric. Another issue.

Key Performance Indicator 106

Key Performance Indicator Metrics Measurement Advertising 106

Cloudera

FEBRUARY 16, 2022

In this article, we explore model governance, a function of ML Operations (MLOps). Support for multiple sessions within a project allows data scientists, engineers and operations teams to work independently alongside each other on experimentation, pipeline development, deployment and monitoring activities in parallel. Model Visibility.

Machine Learning 83

Machine Learning Modeling Metadata Recreation/Entertainment 83

Domino Data Lab

FEBRUARY 4, 2019

Spoiler alert: a research field called curiosity-driven learning is emerging at the nexis of experimental cognitive psychology and industry use cases for machine learning, particularly in gaming AI. At this point I’m resisting an urge to quote and analyze nearly all of that HBR article. Articulating process for data science.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Business Over Broadway

MAY 22, 2019

Below is a list of topics, answers and articles in support of a recent Tweet Chat in which I was the guest. I have included the topics of discussion, some of my answers and a list of articles in support of the week’s topic. Also, here is an article about 1 0 digital transformation influencers that will change your world.

Machine Learning 40

Machine Learning Technology Digital Transformation Data Science 40

Domino Data Lab

AUGUST 22, 2019

Note These three particular words are called articles , or determiners. We need to take a brief break from natural language-specific content here to introduce a metric that will come in handy in the next section of the chapter, when we will evaluate the performance of deep learning NLP models. The Area under the ROC Curve. 0.85 = 0.15.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Darkhorse

NOVEMBER 8, 2016

Santiago Ortiz’s article, 45 ways to communicate two quantiles , shows us a stunning expanse for just two numbers. Choosing the right number of bins can have an impact on how any of these charts look, but a bit of experimentation usually leads to a reasonable answer. The histogram's familiarity makes it quick to interpret for many.

Visualization 72

Visualization Experimentation Measurement Statistics 72

Insight

MARCH 12, 2020

In this article, I will discuss the construction of the AIgent, from data collection to model assembly. After some experimentation, I landed on a strategy I’ll call ‘warm encoding’: if greater than 1% of tags were in a particular class, I encoded the book as belonging to that class, non-exclusively. In other words, if 0.1%

Modeling 59

Modeling Metadata Publishing Sales 59

Domino Data Lab

AUGUST 26, 2019

This article provides an excerpt of “Tuning Hyperparameters and Pipelines” from the book, Machine Learning with Python for Everyone by Mark E. algorithm leaf_size metric metric_params n_jobs n_neighbors p weights. These are precisely controlled by some combinations of metric , metric_params , and p. Introduction. Best Score: 0.98

Testing 79

Testing Modeling Machine Learning Metrics 79

Domino Data Lab

MAY 8, 2019

Paco Nathan’s latest article features several emerging threads adjacent to model interpretability. I’ve been out themespotting and this month’s article features several emerging threads adjacent to the interpretability of machine learning models. Introduction. Welcome back to our monthly burst of themes and conferences.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

The Unofficial Google Data Science Blog

DECEMBER 14, 2021

It was now a business decision to decide whether to pursue this radical strategy given the projected hit to metrics. only in enough detail to motivate the types of uncertainty that are central to this article. Concerned with assessing impact, DS has a particularly important role to play here in defining success and choosing metrics.

Uncertainty 56

Uncertainty Statistics Measurement Cost-Benefit 56

The Unofficial Google Data Science Blog

JUNE 30, 2016

In an ideal world, experimentation through randomization of the treatment assignment allows the identification and consistent estimation of causal effects. Choosing the tuning parameters for data-adaptive methods such as regression trees and MARS is the subject of a large number of research articles and books.

Statistics 44

Statistics Optimization Modeling Experimentation 44