DataRobot

JUNE 10, 2021

Traditionally, experimentation and observation was the only way to understand the physical-chemical properties of the molecule. DataRobot also provides per-label metrics so that metrics per class can be compared. Below are the per-label metrics provided by DataRobot for model evaluation purposes.

Metrics 52

Metrics Machine Learning Visualization Experimentation 52

AWS Big Data

JANUARY 9, 2024

Now users seek methods that allow them to get even more relevant results through semantic understanding or even search through image visual similarities instead of textual search of metadata. It similarly codes the query as a vector and then uses a distance metric to find nearby vectors in the multi-dimensional space to find matches.

Cost-Benefit 90

Cost-Benefit Visualization Modeling Machine Learning 90

Octopai

OCTOBER 26, 2022

When DataOps principles are implemented within an organization, you see an increase in collaboration, experimentation, deployment speed and data quality. SPC is the continuous testing of the results of automated manufacturing processes. SPC tests can do the same thing for the data flowing through your pipelines.

Data Quality 52

Data Quality Data Analytics Analytics Manufacturing 52

Domino Data Lab

DECEMBER 4, 2020

Having calculated AUC/AUMC, we can further derive a number of useful metrics like: Total clearance of the drug from plasma. Domino Lab supports both interactive and batch experimentation with all popular IDEs and notebooks (Jupyter, RStudio, SAS, Zeppelin, etc.). The area under the first moment curve would respectively be.

Metrics 59

Metrics Data Science Knowledge Discovery Measurement 59

Occam's Razor

AUGUST 22, 2011

" ~ Web Metrics: "What is a KPI? " + Standard Metrics Revisited Series. "Engagement" Is Not A Metric, It's An Excuse. Defining a "Master Metric", + a Framework to Gain a Competitive Advantage in Web Analytics. Six Data Visualizations That Rock! How do I choose well?

KPI 124

KPI Metrics Measurement ROI 124

Cloudera

APRIL 9, 2021

The third video in the series highlighted Reporting and Data Visualization. To effectively leverage their predictive capabilities and maximize time-to-value these companies need an ML infrastructure that allows them to quickly move models from data pipelines, to experimentation and into the business. A/B testing).

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

DataRobot Blog

JANUARY 10, 2023

ML model builders spend a ton of time running multiple experiments in a data science notebook environment before moving the well-tested and robust models from those experiments to a secure, production-grade environment for general consumption. Capabilities Beyond Classic Jupyter for End-to-end Experimentation. Auto-scale compute.

Experimentation 52

Experimentation Machine Learning Data Science Modeling 52

datapine

MAY 20, 2020

Finally, we will show you a real-life example so you can get a visual overview and a clearer picture of the points discussed in this article. This most value-driven CRM dashboard and a powerful piece of CRM reporting software host a cohesive mix of visual KPIs. Let’s begin. Sales Activity. Average Contract Value.

Dashboards 265

Dashboards Reporting KPI Visualization 265

Insight

MARCH 12, 2020

I tested several different flavors of BERT for use as synopsis classifiers before settling on the DistilBERT model from Hugging Face. 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.

Modeling 59

Modeling Metadata Publishing Sales 59

DataKitchen

APRIL 13, 2021

Testing and Data Observability. DataOps needs a directed graph-based workflow that contains all the data access, integration, model and visualization steps in the data analytic production process. It orchestrates complex pipelines, toolchains, and tests across teams, locations, and data centers. Testing and Data Observability.

Testing 307

Testing Machine Learning Consulting Data Quality 307

Occam's Razor

JULY 6, 2016

Yes, I worry that Analysts, and Marketers, are spending too much time with their head buried in custom reports and advance segments and smart calculated metrics and strategic or tactical dashboards. Lab usability testing and online surveys both provide great strategies to obsess about user centric design. United Breaks Hearts.

Testing 86

Testing Marketing Experimentation Cost-Benefit 86

CIO Business Intelligence

MARCH 5, 2024

Many other platforms, such as Coveo’s Relative Generative Answering , Quickbase AI , and LaunchDarkly’s Product Experimentation , have embedded virtual assistant capabilities but don’t brand them copilots. Today, top AI-assistant capabilities delivering results include generating code, test cases, and documentation.

Cost-Benefit 124

Cost-Benefit Advertising Experimentation Software 124

datapine

FEBRUARY 4, 2020

While your keyboard is burning and your fingers try to keep up with your brain and comprehend all the data you’re writing about, using an interactive online data visualization tool to set specific time parameters or goals you’ve been tracking can bring a lot of saved time and, consequently, a lot of saved money. Structure your metrics.

Reporting 280

Reporting Marketing Advertising Metrics 280

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. Transcript.

Management 110

Management Machine Learning Experimentation Metrics 110

DataKitchen

JANUARY 17, 2022

Testing and validating analytics took as long or longer than creating the analytics. The business analysts creating analytics use the process hub to calculate metrics, segment/filter lists, perform predictive modeling, “what if” analysis and other experimentation. Visualizations updated per week increased from 50 to 1500.

Experimentation 130

Experimentation Data Lake Marketing Predictive Modeling 130

Sisense

MAY 18, 2021

However, as Deven states, avoiding data insights and going with your gut is like choosing all the wrong answers on a test despite your professor giving you the right ones. When you discover data that means something, you need to be agile enough to make experimental changes.”. Data visualizations are graphic representations of data.

Marketing 52

Marketing Data Analytics Analytics Metrics 52

Domino Data Lab

MAY 8, 2019

On the other hand, as Lipton emphasized, while the tooling produces interesting visualizations, visualizations do not imply interpretation. ML model interpretability and data visualization. From my experiences leading data teams, when a business is facing difficult challenges, data visualizations can help or hurt.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Occam's Razor

AUGUST 12, 2013

Combine that with the excellent multi-channel conversion visualize (in the Overview section) and you have yourself a view of your marketing that will freak you out. You can visualize the impact of applying three models at one time. There is a free tool inside Google Analytics called Model Comparison Tool. It is sweet. Or we could not.)

Modeling 161

Modeling Optimization Marketing Interactive 161

The Unofficial Google Data Science Blog

OCTOBER 21, 2015

The beliefs of this community are always evolving, and the process of thoughtfully generating, testing, refuting and accepting ideas looks a lot like Science. It is important to make clear distinctions among each of these, and to advance the state of knowledge through concerted observation, modeling and experimentation.

Slice and Dice 45

Slice and Dice Experimentation Data-driven Data Science 45

Occam's Razor

FEBRUARY 7, 2011

But each keyword gets "credit" for other metrics. I have personally had a lot of success using Controlled Experimentation techniques, such as, say, Media Mix Modeling, to understand both current available demand and also segment conversion effectiveness. And to visualize it in a report. If you have Web Analytics 2.0

Analytics 94

Analytics Measurement Metrics Predictive Analytics 94

Occam's Razor

OCTOBER 23, 2006

Start with measuring these Outcomes metrics (revenue, leads, profit margins, improved product mix, number of new customers etc). Get competitive data (we are at x% of zz metric and our competition is at x+9% of zz metric). Great for a couple months and then you lose the audience. 6 Reporting is not Analysis. Your Choice? .

Data-driven 117

Data-driven Metrics KPI Reporting 117

Domino Data Lab

AUGUST 22, 2019

Note: A test set of 19,500 such analogies was developed by Tomas Mikolov and his colleagues in their 2013 word2vec paper. This test set is available at download.tensorflow.org/data/questions-words.txt.]. Relative to extrinsic evaluations, intrinsic tests are quick. Note that the final test word in Table 11.2—ma’am—is

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

The Unofficial Google Data Science Blog

MARCH 22, 2018

But what if users don't immediately uptake the new experimental version? Background At Google, experimentation is an invaluable tool for making decisions and inference about new products and features. by DANIEL PERCIVAL Randomized experiments are invaluable in making product decisions, including on mobile apps.

Experimentation 62

Experimentation Measurement Modeling Statistics 62

Occam's Razor

OCTOBER 19, 2010

If you have evolved to a stage that you need behavior targeting then get Omniture Test and Target or Sitespect. Mongoose Metrics ~ ifbyphone. I know Mongoose Metrics a bit more and have been impressed with their solution and evolution over the last couple of years. Experimentation and Testing Tools [The "Why" – Part 1].

Analytics 135

Analytics Testing Measurement Optimization 135

datapine

JANUARY 31, 2022

Everything is being tested, and then the campaigns that succeed get more money put into them, while the others aren’t repeated. BI users analyze and present data in the form of dashboards and various types of reports to visualize complex information in an easier, more approachable way. What Are The Benefits of Business Intelligence?

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Occam's Razor

JANUARY 7, 2014

7: 25% of all analytical effort is dedicated to data visualization/enhancing data's communicative power. #6: They are generic mash-ups that tailor to almost no one's needs, and more often than not contain awful things like nine not-really-thought out metrics for one dimension in a report. " Kisses. Angels singing!

Data-driven 140

Data-driven Consulting Reporting Marketing 140