AI News, Interpreting Confidence Intervals
- On Wednesday, October 17, 2018
- By Read More
Interpreting Confidence Intervals
Data science pioneer, founder, author, CEO, investor, with broad spectrum of domain expertise, technical knowledge, and proven success in bringing measurable added value to companies ranging from startups to fortune 100, across multiple industries (finance, Internet, media, IT, security) and domains (data science, operations research, machine learning, computer science, business intelligence, statistics, applied mathematics, growth hacking, IoT). Vincent
developed and deployed new techniques such as hidden decision trees (for scoring and fraud detection), automated tagging, indexing and clustering of large document repositories, black-box, scalable, simple, noise-resistant regression known as the Jackknife Regression (fit for black-box, real-time or automated data processing), model-free confidence intervals, bucketisation, combinatorial feature selection algorithms, detecting causation not correlations, and generally speaking, the invention of a set of consistent robust statistical / machine learning techniques that can be understood, implemented, interpreted, leveraged and fine-tuned by the non-expert.
- On Saturday, October 19, 2019
About Vincent Granville
Vincent Granville a data expert who is currently based out of Seattle, Washington. Although he is based out of the pacific northwest, Vincent Granville has ...
Jon Bodner | You got your engineering in my Data Science: Addressing the reproducibility crisis
PyData DC 2016 Slides: ...
Data 8 Spring 2016 Lecture 37
Finding and interrogating historical data – Understanding Shell Shock (1/4)
For more like this subscribe to the Open University channel: Free learning from The Open ..
CHES 2017 9/27 Session VI: Security Evaluation & Session VII: FPGA Security
Session VI: Security Evaluation (chair: Amir Moradi) 11:25–11:50 Back to Massey: Impressively fast, scalable and tight security evaluation tools Marios O.
Douglas Blank - Jupyter Tools for Teaching and Learning - PyCon 2018
Speaker: Douglas Blank Project Jupyter is the center of a set of technologies that grew out of simple tools to make Python easier to use. Today, Jupyter is ...
David Gouldin - import time_travel: A Primer on Timezones in Python - PyCon 2018
Speaker: David Gouldin Timezones are one of those things every programmer loves to hate. Most of us, at least in the US, just try to ignore them and hope ...
Jacob Schreiber | Pomegranate: fast and flexible probabilistic models in python
PyData Chicago 2016 Slides: pomegranate is a python module for probabilistic modelling focusing on both ..
NIH Multimodal Brain Stimulation Speaker Series – Christian Windischberger and Faranak Farzan
Abstract for Dr. Windischberger: Transcranial magnetic stimulation (TMS) has become a promising neuroscientific research tool and FDA-approved treatment in ...