Occam's Razor

MARCH 30, 2017

People tend to use these phrases almost interchangeably: Artificial Intelligence (AI), Machine Learning (ML) and Deep Learning. Deep Learning is a specific ML technique. Most Deep Learning methods involve artificial neural networks, modeling how our bran works. All sans human-control.

Marketing Analytics 166

Marketing Analytics Marketing Analytics Deep Learning 166

CIO Business Intelligence

JUNE 12, 2023

There are sales calls and workshops, and some book meetings right into the calendar. Shoots wide of the target With generative AI, where functionality can be built into other parts, the focus is now on things like predictive analysis and energy optimization by finding deviations in the property data that Bravida collects.

Sales 52

Sales Machine Learning Experimentation Deep Learning 52

Edwin Chen

OCTOBER 6, 2014

Metrics like CTR, or even number of favorites and retweets, will probably optimize for showing quick one-liners and pictures of funny cats. In particular, I'll use the example of related book suggestions on Amazon as I walk through the rest of this post. But imagine we suddenly replace all of Amazon's book suggestions with pornography.

Metrics 79

Metrics Measurement Machine Learning Testing 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. The excerpt covers how to create word vectors and utilize them as an input into a deep learning model.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Domino Data Lab

AUGUST 29, 2019

This article provides an excerpt “Deep Reinforcement Learning” from the book, Deep Learning Illustrated by Krohn , Beyleveld , and Bassens. The article includes an overview of reinforcement learning theory with focus on the deep Q-learning. The contents will cover.

Optimization 111

Optimization Modeling Deep Learning Metrics 111

O'Reilly on Data

OCTOBER 19, 2021

Not only is data larger, but models—deep learning models in particular—are much larger than before. Adapted from the book Effective Data Science Infrastructure. However, none of these layers help with modeling and optimization. Foundational Infrastructure Layers. Model Operations.

IT 346

IT Testing Experimentation Software 346

Domino Data Lab

JULY 22, 2019

and drop your deep learning model resource footprint by 5-6 orders of magnitude and run it on devices that don’t even have batteries. Also, these surveys, these are mini books: if you want to grab them, they are free downloads. The problems down in the mature bucket, those are optimizations, they aren’t showstoppers.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

IBM Big Data Hub

SEPTEMBER 27, 2023

Large language models (LLMs) are foundation models that use artificial intelligence (AI), deep learning and massive data sets, including websites, articles and books, to generate text, translate between languages and write many types of content. The open source LLM FinGPT was developed specifically for the financial industry.

Risk 100

Risk Modeling Cost-Benefit Enterprise 100

IBM Big Data Hub

AUGUST 1, 2023

It’s the underlying engine that gives generative models the enhanced reasoning and deep learning capabilities that traditional machine learning models lack. They can also quickly and accurately translate marketing collateral into multiple languages.

Modeling 59

Modeling Cost-Benefit Data Lake Machine Learning 59

Domino Data Lab

MARCH 3, 2019

O’Reilly Media published our analysis as free mini-books: The State of Machine Learning Adoption in the Enterprise (Aug 2018). The data types used in deep learning are interesting. The data types used in deep learning are interesting. One-fifth use reinforcement learning.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Domino Data Lab

MAY 8, 2019

For example, in the case of more recent deep learning work, a complete explanation might be possible: it might also entail an incomprehensible number of parameters. Perhaps if machine learning were solely being used to optimize advertising or ecommerce, then Agile-ish notions could serve well enough.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

datapine

NOVEMBER 19, 2019

There are a large number of tools used in AI, including versions of search and mathematical optimization, logic, methods based on probability and economics, and many others. For example, you could tell your phone about the trip you plan and it would book the most convenient flight, hotel and rental car for you.

Technology 279

Technology Internet of Things IT IoT 279

Domino Data Lab

JULY 9, 2019

or are you looking for me to help you decide on what is the optimal treatment in order to get the outcome you want?” You really want…you really already know what actions you want to perform and you want me to help you figure out what’s the optimal treatment, not what’s going to happen in the absence of treatment.”

Data Science 112

Data Science Machine Learning Advertising Modeling 112

O'Reilly on Data

JANUARY 25, 2021

This study is based on title usage on O’Reilly online learning. The data includes all usage of our platform, not just content that O’Reilly has published, and certainly not just books. More traditional modes also saw increases: usage of books increased by 11%, while videos were up 24%. Web Development.

Machine Learning 363

Machine Learning Software Testing Technology 363

Occam's Razor

OCTOBER 12, 2017

Optimal Starting SCOTUS Starting Points. Some cases are very dear to me, I truly love them, there is a lot to learn from them as you explore the back and forth of the debate, the majority opinion and the dissenting one (or ones). Here are the collection of books, videos, people and learning opportunities from my sweetspot….

Marketing 136

Marketing Analytics Machine Learning Strategy 136