O'Reilly on Data

MARCH 19, 2020

We use it as a data source for our annual platform analysis , and we’re using it as the basis for this report, where we take a close look at the most-used and most-searched topics in machine learning (ML) and artificial intelligence (AI) on O’Reilly [1]. Reinforcement learning fell by 5% in 2019; it’s up hugely—1,500+%—since 2017, however.

Deep Learning 274

Deep Learning Machine Learning Data-driven Modeling 274

Occam's Razor

OCTOBER 12, 2017

The tiny downside of this is that our parents likely never had to invest as much in constant education, experimentation and self-driven investment in core skills. Like this blog, it will be particularly relevant for those who are in digital analytics and digital marketing. Years and years of practice with R or "Big Data."

Marketing 136

Marketing Analytics Machine Learning Strategy 136

CIO Business Intelligence

JULY 17, 2023

My prominent achievements include managing the intricate implementation of GST and its setup in L&T in 2017 and at Havmor, where I recently completed 5 years, the SAP S4 HANA Greenfield implementation. What are some of the unique data and cybersecurity challenges that Havmor faces as a vast customer-centric business?

IT 80

IT Digital Transformation IoT Internet of Things 80

CIO Business Intelligence

MAY 16, 2023

It surpasses blockchain and metaverse projects, which are viewed as experimental or in the pilot stage, especially by established enterprises. higher [in 2022] than in 2017.” Big Data collection at scale is increasing across industries, presenting opportunities for companies to develop AI models and leverage insights from that data.

Advertising 80

Advertising Recreation/Entertainment Experimentation Enterprise 80

Occam's Razor

SEPTEMBER 15, 2014

Remember, when someone says mobile analytics, first ask the clarifying question: Do you mean mobile application or mobile website ? Then approach each separately (even though there are tools like Google Analytics that will do both). Media-Mix Modeling/Experimentation. It will save you hours and hours of time, effort and focus.

Metrics 141

Metrics Reporting Analytics Marketing 141

Ontotext

MAY 18, 2020

Ever since Hippocrates founded his school of medicine in ancient Greece some 2,500 years ago, writes Hannah Fry in her book Hello World: Being Human in the Age of Algorithms , what has been fundamental to healthcare (as she calls it “the fight to keep us healthy”) was observation, experimentation and the analysis of data.

Knowledge Discovery 72

Knowledge Discovery Experimentation Data-driven Metadata 72

Domino Data Lab

JULY 2, 2019

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. In other words, using metadata about data science work to generate code. In this case, code gets generated for data preparation, where so much of the “time and labor” in data science work is concentrated.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105