bridgei2i

APRIL 13, 2020

As a Public Health intervention, measures of social distancing, lockdowns, and travel, and several other restrictions being put in place across geographies—with a direct impact on trade, commerce, industry, and the economy. Get live insights on developing COVID situation with BRIDGEi2i Global COVID-19 Monitor.

Metrics 59

Metrics Enterprise Data-driven Strategy 59

bridgei2i

JULY 8, 2020

And if you’re a banker or an insurer, you’re probably busy figuring out how to measure these risks, mobilize these resources, and fund capital that’s going to provide strong growth. Their head is like can we augment data from other data sources that can give us a glimpse into the future. Recast it a little bit.

Digital Transformation 132

Digital Transformation Enterprise Insurance Risk 132

The Unofficial Google Data Science Blog

AUGUST 27, 2019

Suppose there are $N$ videos in the population $V = {v_1, ldots, v_N}$, and $p(v)$ is the probability mass function (PMF) of the video $v$ in $V$, such that $p(v) > 0$, $sum_i p(v_i) = 1$. Define $f(v) = [v in B]$ where $[cdot]$ maps the boolean value of the expression contained within to $0$ or $1$.

Metrics 98

Metrics Statistics Uncertainty Optimization 98

Edwin Chen

MARCH 13, 2011

A natural approach, then, is simply to choose our weights to minimize $min_w sum_{v neq u} left( r_{vi} - sum_{j in N(i; u)} w_{ij} r_{vj}right)^2$. To get around the second limitation – that a user u may be predictive of user v for some items, but less so for others – we incorporate item-item similarity into our weighting method.

Optimization 40

Optimization Modeling Cost-Benefit Measurement 40

Occam's Razor

APRIL 4, 2011

My instinct was to use the wry observation uttered by US Supreme Court Justice Potter Stewart in trying to define po rn: " I know it when I see it. " " That applies to what is analysis. I know it when I see it. : ). That, of course, would have been an unhelpful answer. See the difference? Examples of web analysis? Okay here you go.

Reporting 127

Reporting Metrics Dashboards Statistics 127

The Unofficial Google Data Science Blog

APRIL 23, 2024

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g.,

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Occam's Razor

JULY 12, 2010

Let's go look at some tools… Measuring "Invisible Virality": Tynt. One thing that I never want to be. We all have a tendency to learn up to a point, we get comfortable and keep chugging along rarely investing in our ongoing education. I call it the slow but sure path to irrelevancy. Simple right? Irrelevancy is not fun.

Analytics 96

Analytics Measurement Metrics KPI 96

CIO Business Intelligence

OCTOBER 3, 2023

And with the HVAC industry suffering from a shortage of skilled labor, few maintenance professionals knew when to change and replace filters and v-belts, how many were in stock, and even whether the correct ones were in place. As more information is collected, though, the number is expected to climb to 40%. “We

Digital Transformation 105

Digital Transformation Consulting Data-driven Machine Learning 105

Occam's Razor

MAY 4, 2010

Finally you offer a hypothesis that I can test, and you were clever enough to point to two things of value to the business (both of which can be measured!). Seems straight forward right? First I must say that I was overwhelmed by the responses (thanks!) and I was impressed with the time people took to do the analysis. A very nice suggestion.

Testing 112

Testing Advertising Marketing Measurement 112

Juice Analytics

JULY 21, 2021

We call them measures (variables that you add up, average, or are otherwise used for calculations) or dimensions (variables that can be put into buckets or describe the things in the rows). If you’re lucky, you’ll get your hands on some perfectly formatting data ( Slack does a nice job, for example). Each row is an observation about a thing.

Slice and Dice 143

Slice and Dice Measurement Metrics Sales 143

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. Many thanks to Addison-Wesley Professional for the permission to excerpt the chapter.

Optimization 111

Optimization Modeling Deep Learning Metrics 111

The Unofficial Google Data Science Blog

JULY 17, 2018

A team of data scientists defined a measure of freshness for each snapshot and built a system to estimate continuously the weighted average of the freshness metric for each snapshot in our web search index. Every large-scale system has its own constraints and pressures that the data scientist will need to accommodate.

Data Science 85

Data Science Snapshot Data Processing Optimization 85

The Unofficial Google Data Science Blog

MARCH 13, 2017

For instance, they identify objects in images, perform language translation, enable web search — all with surprising accuracy. Can we improve our understanding of these methods? Deep networks are the latest instrument in our large toolbox of modeling techniques, and it is natural to wonder about their limits and capabilities. So what is happening?

IT 68

IT Visualization Modeling Uncertainty 68

Rocket-Powered Data Science

SEPTEMBER 18, 2018

In “big data language”, we are talking about one of the 3 V’s of big data: big data Variety! Consequently, we no longer need to rely on a limited number of features and attributes when making decisions, taking actions, and generating inferences. The proof of my inference about the airplane was in the data!

Big Data 103

Big Data Data Science Measurement Data Collection 103

Domino Data Lab

MAY 20, 2021

This renders measures like classification accuracy meaningless. This in turns makes the performance evaluation of the classifier difficult, and can also harm the learning of an algorithm that strives to maximise accuracy. Merging the two results in a completely balanced dataset (50:50). Generation of artificial examples.

Machine Learning 136

Machine Learning Metrics Data mining Knowledge Discovery 136

The Unofficial Google Data Science Blog

AUGUST 31, 2016

By DAVID ADAMS Since inception, this blog has defined “data science” as inference derived from data too big to fit on a single computer. Thus the ability to manipulate big data is essential to our notion of data science. While MapReduce remains a fundamental tool, many interesting analyses require more than it can offer.

Data Science 66

Data Science Sales Optimization Cost-Benefit 66

Domino Data Lab

JULY 1, 2021

for k,v in sorted(word2index.items(), key=operator.itemgetter(1))[:10]: print(k,v). It follows from this example, that the NER task can be broken down into two independent tasks: first, we need to establish the boundaries of each entity (i.e. The CRF model. Figure 2 – Architecture of a BiLSTM-CRF model.

Modeling 111

Modeling Statistics Testing Metrics 111

datapine

AUGUST 29, 2022

. – Steven Pinker, author of The Better Angels of our Nature. Unlike other publications on this list, “Everybody Lies” is not a book that covers the technical aspect of big data in its entirety. Instead, it provides a social perspective of the topic by analyzing what Google search data can tell us about human behavior.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

CIO Business Intelligence

APRIL 12, 2022

Even though Nvidia’s $40 billion bid to shake up enterprise computing by acquiring chip designer ARM has fallen apart, the merger and acquisition (M&A) boom of 2021 looks set to continue in 2022, perhaps matching the peaks of 2015, according to a report from risk management advisor Willis Towers Watson. Perforce Software buys Puppet.

Technology 143

Technology Enterprise Consulting Software 143

Occam's Razor

FEBRUARY 9, 2015

Competitive Intelligence Analysis: Why, What & How to Choose. CIA also formed one of five foundational elements in my best-selling book Web Analytics 2.0. Since then, as luck would have it, we have more tools, they are smarter, and have richer data-sets. In this post we'll go back to the wondrous world of competitive intelligence analysis.

Metrics 155

Metrics Reporting IT Advertising 155

Alation

JANUARY 27, 2022

Often, these challenges stem from the four V’s of data – volume, variety, velocity, and veracity. People might not understand the data, the data they chose might not be ideal for their application, or there might be better, more current, or more accurate data available. It can also help prevent data misuse. What is Data Analytics?

Data Governance 52

Data Governance Analytics Cost-Benefit Data-driven 52

Andrew White

JANUARY 11, 2021

On January 4th I had the pleasure of hosting a webinar. It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was in fact an overview of a piece of research we update every year. This was for the Chief Data Officer, or head of data and analytics. It is meant to be a desk-reference for that role for 2021.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Occam's Razor

MARCH 7, 2016

I want you to sign up for something very, very special I'm doing: Writing short stories from the intersection of marketing and analytics. My goal is to get you promoted, you are going to love it. Please do sign up. But, first, as you've come to expect from this blog… Context…. Should you own or rent? Unselfishness. Clear on what own means?

Marketing Analytics 86

Marketing Analytics Marketing Analytics KPI 86

IBM Big Data Hub

FEBRUARY 9, 2024

2022 was the year that generative artificial intelligence (AI) exploded into the public consciousness, and 2023 was the year it began to take root in the business world. In the decades that followed, incremental advances yielded home computers that hobbyists could tinker with. Video, in particular, offers great potential for holistic learning.

Cost-Benefit 100

Cost-Benefit Modeling Data-driven Enterprise 100

Occam's Razor

OCTOBER 12, 2017

This reality powers my impostor syndrome, and (yet?) it is the reason that I love working in every dimension of digital. We are at an inflection point in humanity’s evolution where in small and big ways, we can actually change the world. With that context, this post is all about career management in the digital space. It is now all on you.

Marketing 136

Marketing Analytics Machine Learning Strategy 136