Octopai

MAY 2, 2022

Common elements of DataOps strategies include: Collaboration between data managers, developers and consumers A development environment conducive to experimentation Rapid deployment and iteration Automated testing Very low error rates. But the approaches and principles that form the basis of DataOps have been around for decades.

Manufacturing 87

Manufacturing Testing Experimentation Data Quality 87

FineReport

DECEMBER 11, 2019

The article is interspersed with rich columns and pictures, introduces the basic business principles in a simple way with real cases from many companies and entrepreneurs around the world. – Head First Data Analysis: A learner’s guide to big numbers, statistics, and good decisions. By Michael Milton.

Big Data 98

Big Data Statistics Experimentation Data Strategy 98

IBM Big Data Hub

APRIL 18, 2024

LLMs like ChatGPT are trained on massive amounts of text data, allowing them to recognize patterns and statistical relationships within language. The doctor uploads the patient’s medical history and recent test results to an AGI-powered medical analysis system. Example : A patient visits a doctor with concerning symptoms.

Cost-Benefit 97

Cost-Benefit Modeling Manufacturing Interactive 97

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. " Strategic Analysis Articles. Tactical Analysis Articles. How do I crush tough problems?

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. Yet, this challenge is not insurmountable. for what is and isn’t possible) to address these challenges. Transcript.

Management 110

Management Machine Learning Experimentation Metrics 110

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! Automated testing to ensure data quality. What Is DataOps? Easy-to-experiment data development environment. How Does DataOps Provide Value?

Cost-Benefit 52

Cost-Benefit Data Quality Manufacturing Testing 52

Occam's Razor

SEPTEMBER 19, 2011

You need people with deep skills in Scientific Method , Design of Experiments , and Statistical Analysis. Then they isolated regions of the country (by city, zip, state, dma pick your fave) into test and control regions. People in the test regions will participate in our hypothesis testing. ask for a raise.

Measurement 119

Measurement Advertising Testing Marketing 119

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. Article by Adam Azzam. Originally posted on Open Data Science (ODSC). Length: Highly Variable. Teams new to hiring often make this mistake of creating long multi-stage screening processes.

Data-driven 53

Data-driven Data Science Experimentation Measurement 53

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

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

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. This control prevents overfitting and reduction in predictive accuracy on new test data. We can take this model to other, novel data and perform a final hold-out test assessment.

Testing 79

Testing Modeling Machine Learning Metrics 79

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. A naïve way to solve this problem would be to compare the proportion of buyers between the exposed and unexposed groups, using a simple test for equality of means.

Statistics 44

Statistics Optimization Modeling Experimentation 44

Insight

MARCH 12, 2020

In this article, I will discuss the construction of the AIgent, from data collection to model assembly. The most powerful approach for the first task is to use a ‘language model’ (LM), i.e. a statistical model of natural language. On my test set, this approach resulted in~75–95% accuracy and ~.65 features) and metadata (i.e.

Modeling 59

Modeling Metadata Publishing Sales 59

O'Reilly on Data

MARCH 23, 2023

It’s by far the most convincing example of a conversation with a machine; it has certainly passed the Turing test. And it can look up an author and make statistical observations about their interests. Search and research Microsoft is currently beta testing Bing/Sydney, which is based on GPT-4.

IT 262

IT Modeling Testing Risk 262

Domino Data Lab

AUGUST 22, 2019

Note These three particular words are called articles , or determiners. Although it’s not perfect, [Note: These are statistical approximations, of course!] Note: A test set of 19,500 such analogies was developed by Tomas Mikolov and his colleagues in their 2013 word2vec paper. Note that the final test word in Table 11.2—ma’am—is

Deep Learning 111

Deep Learning Modeling Metrics Testing 111