O'Reilly on Data

MAY 11, 2020

Infinite Jest was published in 1996, just as the modern Web was coming into being. It predates recommendation engines, social media, engagement metrics, and the recent explosion of AI, but not by much. The Entertainment” is not the result of algorithms, business incentives and product managers optimizing for engagement metrics.

Modeling 188

Modeling Advertising Recreation/Entertainment Metrics 188

Rocket-Powered Data Science

JULY 6, 2021

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. There was some research published earlier in 2020 that found that traditional, less complex algorithms can be nearly as good or better than deep learning on some tasks.

Data-driven 279

Data-driven Machine Learning IoT Deep Learning 279

Sisense

MAY 18, 2021

When you discover data that means something, you need to be agile enough to make experimental changes.”. Mistake #3: Making vanity metrics your main event. When the primary focus becomes likes, retweets, follows, and comments — also known as vanity metrics — marketing efforts become less meaningful for your long-term goals.

Marketing 52

Marketing Data Analytics Analytics Metrics 52

AWS Big Data

JANUARY 9, 2024

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. This functionality was initially released as experimental in OpenSearch Service version 2.4, This is also called embedding the text into the vector space.

Cost-Benefit 94

Cost-Benefit Visualization Modeling Machine Learning 94

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

The Unofficial Google Data Science Blog

OCTOBER 7, 2015

Nevertheless, A/B testing has challenges and blind spots, such as: the difficulty of identifying suitable metrics that give "works well" a measurable meaning. accounting for effects "orthogonal" to the randomization used in experimentation. accounting for effects "orthogonal" to the randomization used in experimentation.

Modeling 61

Modeling Experimentation Knowledge Discovery Testing 61

Domino Data Lab

AUGUST 6, 2021

Develop: includes accessing and preparing data and algorithms, researching and development of models and experimentation. Deploy: includes validating, publishing and delivering working models into a business environment. Let’s use an example business problem to illustrate the four steps of the data science lifecycle.

Data Science 75

Data Science Testing Modeling Publishing 75

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

With more features come more potential post hoc hypotheses about what is driving metrics of interest, and more opportunity for exploratory analysis. We data scientists now have access to tools that allow us to run a large numbers of experiments, and then to slice experimental populations by any combination of dimensions collected.

Experimentation 61

Experimentation Testing Statistics Metrics 61

AWS Big Data

JULY 26, 2023

The vector engine supports the popular distance metrics such as Euclidean, cosine similarity, and dot product, and can accommodate 16,000 dimensions, making it well-suited to support a wide range of foundational and other AI/ML models. To create the vector index, you must define the vector field name, dimensions, and the distance metric.

Metadata 52

Metadata Cost-Benefit Testing Metrics 52

Cloudera

FEBRUARY 16, 2022

It is also possible to create your own AMP and publish it in the AMP catalogue for consumption. 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.

Machine Learning 83

Machine Learning Modeling Metadata Recreation/Entertainment 83

Octopai

OCTOBER 26, 2022

When DataOps principles are implemented within an organization, you see an increase in collaboration, experimentation, deployment speed and data quality. Continuous DataOps metrics testing checks data’s validity, completeness and integrity at input and output. What DataOps best practices put you on track to achieving this ideal?

Data Quality 52

Data Quality Data Analytics Analytics Manufacturing 52

DataRobot Blog

FEBRUARY 15, 2023

The DataRobot AI catalog fosters collaboration by providing users a system of record for datasets, the ability to publish and share datasets with colleagues, tag datasets, and manage the lineage of the dataset throughout the entire project. This helps with getting more creative with your experimentation.

Modeling 52

Modeling Machine Learning Cost-Benefit Metrics 52

Occam's Razor

NOVEMBER 2, 2015

Success Metrics. In my Oct 2011 post, Best Social Media Metrics , I'd created four metrics to quantify this value. I believe the best way to measure success is to measure the above four metrics (actual interaction/action/outcome). It can be a brand metric, say Likelihood to Recommend. It is not that hard.

B2B 167

B2B Metrics Testing Recreation/Entertainment 167

Insight

MARCH 12, 2020

There was only one problem: literary agents, the gatekeepers of the publishing industry, kept rejecting the book?—?often Galbraith eventually opted to publish Cuckoo’s Calling through an acquaintance of sorts. but the publishing industry failed to see it. often without even looking at it. In other words, Galbraith had chops?—?but

Modeling 59

Modeling Metadata Publishing Sales 59

Occam's Razor

MARCH 7, 2016

Of course, measure that using the four best social media metrics !) I do not plan to publish the newsletters anywhere (no web versions, not even an archive), to allow for more openness and intimacy. People tend to use the terms metrics and KPIs interchangeably. Bounce rate , a number I'm fond of, is a metric.

Marketing Analytics 86

Marketing Analytics Marketing Analytics KPI 86

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. In other words, your talk didn’t quite stand out enough to put onstage, but you still get “publish or perish” credits for presenting.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Occam's Razor

JULY 26, 2010

PALM: People Against Lonely Metrics]. So why not your metrics? This is the problem with lonely metrics. Why not find a BFF for your lonely metric and present something like this. I found a "you complete me" for my Visits metric, Bounce Rate. Or an actual outcome metric. 2: Join the PALM club.

Metrics 96

Metrics Measurement Dashboards Reporting 96

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

Occam's Razor

DECEMBER 12, 2016

What one critical metric will help you clearly measure performance for each strategy above? How will you know if the performance was a success or failure, what's the target for each critical metric? What specific strategies are you currently leveraging to accomplish aforementioned objectives? You plus Finance plus CMO.].

Analytics 141

Analytics Data-driven Strategy Consulting 141

Occam's Razor

FEBRUARY 26, 2008

Use your customers and competitors to help you move the ball forward (buy a new tool, hire another analyst, kill hideous home pages, spend right amounts on SEM and SEO, publish rich media on your site, implement feedburner , or whatever else you want). 1: Implement a Experimentation & Testing Program. # 6: If All Else Fails. . #

Management 68

Management Experimentation Testing Metrics 68

Occam's Razor

JANUARY 9, 2012

If you are doing lame stuff, why try harder in an analytics context by asking for Economic Value or Visitor Loyalty or Conversation Rate or a thousand other super powerful and insightful metrics ? Lack of loyalty shows simply re-publishing AP stories is useless. Fill it with the best web metrics to measure success.

Marketing 140

Marketing B2B Measurement Risk 140

Occam's Razor

JUNE 6, 2007

I am thrilled to say that my book Web Analytics: An Hour A Day has been published and is now widely available. Bonus: Interactive CD: Contains six podcasts, one video, two web analytics metrics definitions documents and five insightful powerpoint presentations. Experimentation & Testing (A/B, Multivariate, you name it).

Analytics 60

Analytics Metrics Marketing Dashboards 60

Domino Data Lab

MAY 8, 2019

So much work in machine learning – either on the academic side which is focused on publishing papers or the industry side which is focused on ROI – tends to emphasize: How much predictive power (precision, recall) does the model have? If you invest enough time into modeling, you can often find relatively simple models for a given problem.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Occam's Razor

MAY 27, 2015

As all of my proceeds from the books go to charity, this passion for data has allowed me to donate $350,000 to charity since the first book was published. It is being hyper-conservative when it comes to creativity and experimentation because of quant-issues. Look at the right nav on this blog, two best selling books in 13 languages!

Marketing Analytics 153

Marketing Analytics Marketing Analytics Advertising 153