Andrew White

APRIL 10, 2023

A new blog from the IMF came my way and it looked interesting: Interest Rates Likely to Return Toward Pre-Pandemic Levels When Inflation is Tamed. The blog refers to some research from the IMF that looks at the long term drivers of long-term interest rates. The IMF blog has a chart showing this trend. ” This I get.

Finance 52

Finance ROI Metrics Reporting 52

Domino Data Lab

MAY 20, 2021

In this article we discuss why fitting models on imbalanced datasets is problematic, and how class imbalance is typically addressed. def get_neigbours(M, k): nn = NearestNeighbors(n_neighbors=k+1, metric="euclidean").fit(M) from sklearn.neighbors import NearestNeighbors from random import randrange. return synthetic.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

IBM Big Data Hub

JULY 6, 2023

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. ” “Data science” was first used as an independent discipline in 2001. Deep learning algorithms are neural networks modeled after the human brain.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

Occam's Razor

APRIL 25, 2011

The issues of course include people and jaded mental models and bureaucracy and a lack of time and the missing desire to be great and org structures, and bosses. Not having a vibrant, engaging, non-pimpy blog. Having a vibrant blog does not mean not being on Twitter or Facebook (or every other place your customers congregate).

Marketing 126

Marketing Measurement Metrics Testing 126

The Unofficial Google Data Science Blog

AUGUST 27, 2019

Of course, any mistakes by the reviewers would propagate to the accuracy of the metrics, and the metrics calculation should take into account human errors. If we could separate bad videos from good videos perfectly, we could simply calculate the metrics directly without sampling. The missing verdicts create two problems.

Metrics 98

Metrics Statistics Uncertainty Optimization 98

The Unofficial Google Data Science Blog

JUNE 30, 2016

The choice of space $cal F$ (sometimes called the model ) and loss function $L$ explicitly defines the estimation problem. In the presence of model misspecification, the estimator $hatpsi$ is inconsistent. As a result, estimators that focus on covariate balancing are also susceptible to being inconsistent due to model misspecification.

Statistics 44

Statistics Optimization Modeling Experimentation 44

Domino Data Lab

JULY 22, 2019

This blog post provides a concise session summary, a video, and a written transcript. how “the business executives who are seeing the value of data science and being model-informed, they are the ones who are doubling down on their bets now, and they’re investing a lot more money.” Session Summary. Transcript.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109