O'Reilly on Data

MARCH 23, 2021

There is a growing disbelief and distrust in basic science and government. It seems harder than ever to agree with others on basic facts, let alone to develop shared values and goals: we even claim to live in a post-truth era. For every piece of information X somewhere, you can likely find “not X” elsewhere. ” Reality Decentralized.

Internet Publishing and Broadcasting 317

Internet Publishing and Broadcasting Broadcasting Data-driven Interactive 317

Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Data Science 101

JANUARY 19, 2021

Stress-free Goal Setting with Deb Eckerling. Watch the Live Video – Stress Free Goal Setting on Amazon Live. 5:46 What are common mistakes in goal setting? Full Transcript for Stress free Goal Setting. Debra Eckerling is a goal-setting expert. Listen to the Audio. What is the most important part of setting a goal?

Recreation/Entertainment 98

Recreation/Entertainment IT Data Science Management 98

datapine

OCTOBER 21, 2020

Big data has changed the way we manage, analyze, and leverage data across industries. One of the most notable areas where data analytics is making big changes is healthcare. In this article, we’re going to address the need for big data in healthcare and hospital big data: why and how can it help?

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Companies, both big and small, are seeking the finest ways to leverage their data into a competitive advantage.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

The Unofficial Google Data Science Blog

APRIL 17, 2017

by ERIC TASSONE, FARZAN ROHANI We were part of a team of data scientists in Search Infrastructure at Google that took on the task of developing robust and automatic large-scale time series forecasting for our organization. So it should come as no surprise that Google has compiled and forecast time series for a long time.

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83

Domino Data Lab

FEBRUARY 4, 2019

In Paco Nathan ‘s latest column, he explores the role of curiosity in data science work as well as Rev 2 , an upcoming summit for data science leaders. Welcome back to our monthly series about data science. and dig into details about where science meets rhetoric in data science.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

datapine

JULY 24, 2019

While it isn’t possible to apply this statement in a universal sense (and in fact, it’s somewhat cliché), the notion does serve to highlight an important truth regarding today’s digital world: consumer values are continually evolving. Data has never been more readily accessible. It’s often said that knowledge is equal to power.

Dashboards 148

Dashboards Business Intelligence Visualization KPI 148

Occam's Razor

APRIL 21, 2014

The mistake we make is that we obsess about every big, small and insignificant analytics implementation challenge and try to fix it because we want 99.95% comfort with data quality. We wonder why data people are not loved. :). , about digital marketing and analytics. For some answers, What is Avinash's typical day like?

Marketing Analytics 131

Marketing Analytics Marketing Analytics Measurement 131

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. Introduction.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111