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. You saw in the previous chapter that conditioning can break statistical dependence. Introduction.

Machine Learning 68

Machine Learning Measurement Modeling Testing 68

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. It has been such an amazing journey to write the book, and for it to come up almost exactly a year after I started this blog. Damini, Chirag and now the book! :). Part One: The book (my side of the story, details).

Analytics 60

Analytics Metrics Marketing Dashboards 60

Occam's Razor

JANUARY 9, 2012

All while constantly optimizing your portfolio via controlled experiments. It could also make a few more dollars constantly pimping my two books in posts. I told 20 people that Nikon's site is slow and profoundly sub-optimal on mobile. We are talking about taking controlled risks and optimization. One more example.

Marketing 140

Marketing B2B Measurement Risk 140

O'Reilly on Data

MARCH 23, 2023

Many of these go slightly (but not very far) beyond your initial expectations: you can ask it to generate a list of terms for search engine optimization, you can ask it to generate a reading list on topics that you’re interested in. It has helped to write a book. It was not optimized to provide correct responses.

IT 262

IT Modeling Testing Risk 262

Occam's Razor

JUNE 6, 2011

1: Figure out the optimal career path for you. You can't have free versions or free education or books on the subject matter. There are books galore. Books: It might be old fashioned but I like starting with a book. Buy two books. essentially a "how to think" book. This might seem odd.

Analytics 125

Analytics Consulting Statistics Marketing 125

Domino Data Lab

MAY 8, 2019

They also require advanced skills in statistics, experimental design, causal inference, and so on – more than most data science teams will have. Perhaps if machine learning were solely being used to optimize advertising or ecommerce, then Agile-ish notions could serve well enough. PSL models are easy to use and fast.

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. When hyperparameters are also used for optimization and tuned for a specific dataset, they also impact predictive accuracy. Introduction. In [1]: # setup. to choose good hyperparameters.

Testing 79

Testing Modeling Machine Learning Metrics 79

Domino Data Lab

AUGUST 22, 2019

Many thanks to Addison-Wesley Professional for providing the permissions to excerpt “Natural Language Processing” from the book, Deep Learning Illustrated by Krohn , Beyleveld , and Bassens. a book) into a list of discrete elements of language (e.g., and 2.6) [ in the book]. Introduction. Tokenization.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Occam's Razor

MARCH 23, 2010

Part of it is fueled by a vocal minority genuinely upset that 10 years on we are still not a statistically powered bunch doing complicated analysis that is shifting paradigms. starting Page 368, in case you have the book). If you don't have a robust experimentation program in your company you are going to die. This is sad.

Analytics 118

Analytics Consulting Metrics Experimentation 118