Rocket-Powered Data Science

JULY 6, 2021

The year 2020 was remarkably different in many ways from previous years. In at least one way, it was not different, and that was in the continued development of innovations that are inspired by data. This steady march of data-driven innovation has been a consistent characteristic of each year for at least the past decade.

Data-driven 279

Data-driven Machine Learning IoT Deep Learning 279

O'Reilly on Data

MARCH 18, 2020

It seems as if the experimental AI projects of 2019 have borne fruit. In 2020, as in 2019, a plurality of respondents—almost 22%—identified a lack of institutional support as the biggest problem. In both 2019 and 2020, the AI skills gap actually occupied the No. But what kind? Where AI projects are being used within companies.

Enterprise 307

Enterprise Deep Learning Data Governance Risk 307

Data Science and Beyond

APRIL 5, 2021

My track record of posting here has been pretty poor in 2020, partly because of a bunch of content I’ve contributed elsewhere. Well, no one has compiled a meta-post of my public work from 2020 (that I know of), so it’s finally time to publish it myself. Technical work.

Experimentation 61

Experimentation Testing Publishing Measurement 61

CIO Business Intelligence

MAY 31, 2022

Beyond the fundamentals of cross-device interactions, privacy, and security, becoming a leader in the programmable world will require wide-ranging exploration, experimentation, and development. billion in 2020 , is expected to reach $184.5 However, of all the data created in 2020, only 10.6% billion by 2030.

Technology 113

Technology Experimentation Interactive IoT 113

Data Science 101

JANUARY 15, 2020

Bias ( syatematic unfairness in data collection ) can be a potential problem in experiments and we need to take it into account while designing experiments. Some pitfalls of this type of experimentation include: Suppose an experiment is performed to observe the relationship between the snack habit of a person while watching TV.

Experimentation 96

Experimentation Statistics Measurement Testing 96

CIO Business Intelligence

MARCH 21, 2022

A data analyst might help an organization better understand how its customers use its product in the present moment, whereas a data scientist might use insights generated from that data analysis to help design a new product that anticipates future customer needs. Data scientist salary.

Unstructured Data 133

Unstructured Data Data Analytics Analytics Structured Data 133

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