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Introduction to Bootstrapping - ppt download

Presentation on theme: "Introduction to Bootstrapping"— Presentation transcript:<p>1 <b>Introduction to Bootstrapping</b><br>James Guszcza, FCAS, MAAA CAS …

Deloitte

© Deloitte Consulting, 2004 Loss Reserving Using Policy-Level Data James Guszcza, FCAS, MAAA Jan Lommele, FCAS, MAAA Frank Zizzamia CLRS Las Vegas September, - ppt download

Presentation on theme: "© Deloitte Consulting, 2004 Loss Reserving Using Policy-Level Data James Guszcza, FCAS, MAAA Jan Lommele, FCAS, MAAA Frank …

Algorithms

Model Validation and Bootstrapping - ppt download

Presentation on theme: "Model Validation and Bootstrapping"— Presentation transcript:<p>1 <b>Model Validation and Bootstrapping</b><br>James Guszcza, FCAS, MAAA CAS …

Algorithms

Why is the Fourier transform so important?

Everyone discusses the Fourier transform when discussing signal processing. Why is it so important to signal processing and what does it tell us …

Fourier transform for dummies

A vague question of Kevin Lin which didn't quite fit at Mathoverflow:<p>So ... what is the Fourier transform? What does it do? Why is it useful (both in …

Mathematics

Image Processing 101

Why this was written<p>At the Recurse Center, I spent some time teaching myself image processing. When I started, I had no idea what it entailed. I just …

Articles tagged Editorial

Perseverance and continued effort, even when you lack knowledge or skill is extremely valuable for a technology professional. Read more...<p>By Steve …

Shopping

Introduction to Machine Learning with Web Analytics: Random Forests and K-Means

MeasureCamp #7<p>I've just come back from #MeasureCamp, where I attended some great talks: on hierarchical models; the process of analysis; a demo of …

50 external machine learning / data science resources and articles

Starred articles are candidates for the picture of the week. A comprehensive list of all past resources is found here. We are in the process of …

Data Science

Data Mining Using Machine Learning

Understand how machine learning algorithms help do data analysis.

Algorithms

16 analytic disciplines compared to data science

What are the differences between data science, data mining, machine learning, statistics, operations research, and so on?<p>Here I compare several …

Data Science

An executive’s guide to machine learning

It’s no longer the preserve of artificial-intelligence researchers and born-digital companies like Amazon, Google, and Netflix.<p><b>Machine learning</b> is …

Machine Learning

5 steps to actually learn data science

<b>By Vik Paruchuri (Dataquest.io)</b>.<p>It’s an exciting time for data science. The field is new, but growing quickly. There’s huge demand for data …

Top /r/MachineLearning Posts, September: Implement a neural network from scratch in C++

In September on /r/MachineLearning, we find a neural network tutorial video for C++, read that deep learning based Chinese character handwriting …