Rocket-Powered Data Science

JULY 7, 2019

Computer Vision: Data Mining: Data Science: Application of scientific method to discovery from data (including Statistics, Machine Learning, data visualization, exploratory data analysis, experimentation, and more). Industry 4.0 Examples: (1) Automated manufacturing assembly line. (2) 2) Roomba (vacuums your house). (3) 4) Prosthetics.

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

CIO Business Intelligence

JUNE 28, 2023

In a recent article , Rajeev Ronanki, CEO of Lyric and author of bestseller You and AI , attributes the failure of a 2013 joint venture between MD Anderson and IBM Watson Health to the wrong mindset. Experimentation with a use case driven approach. By that measure, you will indeed have done better than you thought.

Enterprise 52

Enterprise Experimentation Risk Data-driven 52

IBM Big Data Hub

MARCH 4, 2024

This culture encourages experimentation and expertise growth. An AI+ enterprise mitigates potential harm by implementing robust measures to secure, monitor and explain AI models, as well as monitoring governance, risk and compliance controls across the hybrid cloud environment.

Enterprise 98

Enterprise ROI Risk Strategy 98

Data Science and Beyond

DECEMBER 23, 2018

The book focuses on randomised controlled trials and well-defined interventions as the basis of causal inference from both experimental and observational data. As the authors show, even with randomised experiments, the analysis often requires using observational causal inference tools due to factors like selection and measurement biases.

Deep Learning 103

Deep Learning Experimentation Data-driven Data Science 103

Occam's Razor

AUGUST 22, 2011

" + Strategic Analysis Articles. Tactical Analysis Articles. Blogging Experience Articles. + Book Articles. Misc Articles. In each section the listing is from the latest article to the earliest. Key To Your Digital Success: Web Analytics Measurement Model. How Do I Measure Success?

KPI 124

KPI Metrics Measurement ROI 124

Dataiku

APRIL 22, 2022

For companies with small datasets and a mandate to move beyond experimentation, Frugal AI promises to be a way to overcome this challenge. In this article, we took a back-to-basics look at one aspect of Frugal AI. improvement in accuracy versus 0% improvement in accuracy when focusing on the code.

Experimentation 59

Experimentation Modeling Business Objectives Manufacturing 59

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. This simulation is based on the actual user network of GCP.

Testing 58

Testing Experimentation Measurement Modeling 58

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. which can lead to large prediction errors. can make it difficult to analyze the actions of ordinary users.

Data Science 72

Data Science Machine Learning Statistics Modeling 72

Cloudera

FEBRUARY 16, 2022

blueberry spacing) is a measure of the model’s interpretability. In this article, we explore model governance, a function of ML Operations (MLOps). In this article, we looked at ML model governance, one of the challenges that organisations need to overcome to ensure that AI is being used ethically. Model Visibility.

Machine Learning 86

Machine Learning Modeling Metadata Recreation/Entertainment 86

Ontotext

NOVEMBER 2, 2023

And while there is a great deal of experimentation underway, most organizations have only scratched the surface in a use-case-by-use-case fashion. Future articles will explore the importance of a Graph Center of Excellence. Most of the leading market research firms consider graph technologies to be a “critical enabler.”

IT 69

IT Cost-Benefit Data-driven Technology 69

Insight

APRIL 28, 2020

In this article, we share some data-driven advice on how to get started on the right foot with an effective and appropriate screening process. provide an opportunity to measure both. Article by Adam Azzam. Originally posted on Open Data Science (ODSC). Flags to look for: The path is as important as the destination.

Data-driven 53

Data-driven Data Science Experimentation Measurement 53

O'Reilly on Data

MAY 14, 2020

In our previous article, What You Need to Know About Product Management for AI , we discussed the need for an AI Product Manager. In this article, we shift our focus to the AI Product Manager’s skill set, as it is applied to day to day work in the design, development, and maintenance of AI products.

Management 363

Management Experimentation B2B Machine Learning 363

IBM Big Data Hub

APRIL 18, 2024

While leaders have some reservations about the benefits of current AI, organizations are actively investing in gen AI deployment, significantly increasing budgets, expanding use cases, and transitioning projects from experimentation to production. It analyzes historical data and news articles, confirming a possible market correction.

Cost-Benefit 90

Cost-Benefit Modeling Manufacturing Interactive 90

The Unofficial Google Data Science Blog

JULY 22, 2020

Instead, we focus on the case where an experimenter has decided to run a full traffic ramp-up experiment and wants to use the data from all of the epochs in the analysis. Companies like Google [2], Amazon [3], and Microsoft [4] have all published scholarly articles on this topic.

Experimentation 95

Experimentation Statistics Testing Strategy 95

Alation

SEPTEMBER 28, 2022

However, there is a lot more to know about DataOps, as it has its own definition, principles, benefits, and applications in real-life companies today – which we will cover in this article! In DataOps, data analytics performance is primarily measured through insightful analytics, and accurate data, in robust frameworks.

Cost-Benefit 52

Cost-Benefit Data Quality Manufacturing Testing 52

Insight

MARCH 12, 2020

In this article, I will discuss the construction of the AIgent, from data collection to model assembly. One way that we can get around this is to use the proportion of tags that fall into a given class as a measure of our degree of confidence in that class association. In other words, if 0.1%

Modeling 59

Modeling Metadata Publishing Sales 59

Domino Data Lab

OCTOBER 2, 2019

This article covers causal relationships and includes a chapter excerpt from the book Machine Learning in Production: Developing and Optimizing Data Science Workflows and Applications by Andrew Kelleher and Adam Kelleher. As data science work is experimental and probabilistic in nature, data scientists are often faced with making inferences.

Machine Learning 68

Machine Learning Measurement Modeling Testing 68

O'Reilly on Data

OCTOBER 19, 2021

In this article, we want to dig deeper into the fundamentals of machine learning as an engineering discipline and outline answers to key questions: Why does ML need special treatment in the first place? Besides infrastructure, effective A/B testing requires a control plane, a modern experimentation platform, such as StatSig.

IT 351

IT Testing Experimentation Software 351

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.

Management 252

Management Metrics Machine Learning Modeling 252

datapine

FEBRUARY 4, 2020

Management thinker Peter Drucker once stated, “if you can’t measure it, you can’t improve it” – and he couldn’t be more right. Below, in the article, we’ve gathered some of the marketing reports templates that can easily be used to perfect the efficiency of generating data and reduce the time needed to create it.

Reporting 280

Reporting Marketing Advertising Metrics 280

The Unofficial Google Data Science Blog

DECEMBER 14, 2021

In this post, we discuss three types of uncertainty: Statistical uncertainty : the gap between the estimand , the unobserved property of the population we wish to measure, and an estimate of it from observed data. Representational uncertainty : the gap between the desired meaning of some measure and its actual meaning.

Uncertainty 56

Uncertainty Statistics Measurement Cost-Benefit 56

CIO Business Intelligence

JULY 8, 2022

This article was co-authored by Duke Dyksterhouse , an Associate at Metis Strategy. First, it’s a straightforward proposition whose end state is relatively easy to envision and measure, making it a nice palate cleanser for those still wrapping their heads around the broader operating model shift. Disadvantages.

Cost-Benefit 122

Cost-Benefit Measurement Modeling Metrics 122

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

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

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. These measurement-obsessed companies have an advantage when it comes to AI.

Management 110

Management Machine Learning Experimentation Metrics 110

Ontotext

MAY 18, 2020

Ever since Hippocrates founded his school of medicine in ancient Greece some 2,500 years ago, writes Hannah Fry in her book Hello World: Being Human in the Age of Algorithms , what has been fundamental to healthcare (as she calls it “the fight to keep us healthy”) was observation, experimentation and the analysis of data. will be processed.

Knowledge Discovery 72

Knowledge Discovery Experimentation Data-driven Metadata 72

Insight

FEBRUARY 20, 2020

If you want to learn more about the bias-variance tradeoff, you can check out this article. It was ignorance in our experimental design that led to this apparent noise in our output. Example: Playing Dice We are not God?—?so so let’s play some dice! In the following three experiments, we repeat the same steps each time?—?we

Machine Learning 71

Machine Learning Experimentation Modeling Measurement 71

Sisense

JULY 15, 2020

This article will focus on the AI Research (AIR) team’s effort, specifically an experimental combination of Sisense BloX (actionable embedded analytics ) and Quest (an advanced analytics add-on for Sisense) which we called the SEIR app. We hope the how-to elements of this article get your imagination going and help you build boldly.

Analytics 90

Analytics Modeling Visualization Dashboards 90

Occam's Razor

FEBRUARY 28, 2017

The qualitative surveys measuring unhappiness went down even more than before. You are what you measure. As you’ve read in the Forbes article, I love storytelling. Bonus: Remember, you can measure profit everyday in Google Analytics! ]. The success metric, ACT, did go down. Likelihood to repurchase , took a painful hit.

Key Performance Indicator 106

Key Performance Indicator Metrics Measurement Advertising 106

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. measure the subjects’ ability to trust the models’ results. Introduction.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

O'Reilly on Data

MARCH 23, 2023

Tokens ChatGPT’s sense of “context”—the amount of text that it considers when it’s in conversation—is measured in “tokens,” which are also used for billing. ChatGPT offers users a paid account that costs $20/month, which is good enough for experimenters, though there is a limit on the number of requests you can make.

IT 269

IT Modeling Testing Risk 269

Cloudera

NOVEMBER 25, 2020

And soon also sensor measures, and possibly video or audio data with the increased use of device technology and telemedicine in medical care. An integrated unstructured data match engine to find similar documents, reports, articles, and patents, using natural language and/or in combination with SQL.

Data Warehouse 60

Data Warehouse Unstructured Data Analytics Visualization 60

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

datapine

JANUARY 31, 2022

For example, in regards to marketing, traditional advertising methods of spending large amounts of money on TV, radio, and print ads without measuring ROI aren’t working like they used to. They’re about having the mindset of an experimenter and being willing to let data guide a company’s decision-making process. The results?

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

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. Beyond this, we also get a measure of the variability. Introduction. When hyperparameters are also used for optimization and tuned for a specific dataset, they also impact predictive accuracy.

Testing 79

Testing Modeling Machine Learning Metrics 79

Occam's Razor

APRIL 29, 2013

You measure bounce rate and you can find those things, then figure out if the problem is at the source (ads) or destination (your site). Because Likes (and +1s, Followers) measure a fleeting Hello. Would you measure the success of your trades based on cost per trade? Bounce rate is really useful for finding things you suck at.

Marketing 166

Marketing Metrics Advertising Measurement 166

Occam's Razor

OCTOBER 12, 2017

The tiny downside of this is that our parents likely never had to invest as much in constant education, experimentation and self-driven investment in core skills. Ask them what they worry about, ask them what they are solving for, ask them how they measure success, ask them what are two things on the horizon that they are excited about.

Marketing 136

Marketing Analytics Machine Learning Strategy 136