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., Taking measurements at parameter settings further from control parameter settings leads to a lower variance estimate of the slope of the line relating the metric to the parameter.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

IBM Big Data Hub

APRIL 13, 2023

Explore data In this step, I’ll look at both sample records and the summary statistics of the training dataset to gain insights into the dataset. outtable is the name of the table where SUMMARY1000 will store gathered statistics for the entire dataset. Check the summary statistics of the numeric column. NOT IN(SELECT FT.ID

Modeling 83

Modeling Statistics Machine Learning Testing 83

datapine

SEPTEMBER 16, 2022

But often that’s how we present statistics: we just show the notes, we don’t play the music.” – Hans Rosling, Swedish statistician. Originally published in 2016, it has a second edition that was published in 2019 that includes a rewritten chapter on qualitative data as well as 9 new chart types and shortcuts on Excel.

Visualization 304

Visualization Dashboards Data-driven Statistics 304

Smart Data Collective

JUNE 26, 2019

Get Rid of Blind Spots in Statistical Models With Machine Learning. Data-related blind spots could also exist in your statistical models. RiskSpan is a company that built a machine learning algorithm that can flag error-prone parts of a statistical model and indicate which associated outputs may be unreliable.

ROI 102

ROI Statistics Machine Learning Measurement 102

Cloudera

DECEMBER 3, 2021

In 2019, the Gradient institute published a white paper outlining the practical challenges for Ethical AI. This involves identifying, quantifying and being able to measure ethical considerations while balancing these with performance objectives. Uncertainty is a measure of our confidence in the predictions made by a system.

Uncertainty 100

Uncertainty Measurement Metrics Risk 100

IBM Big Data Hub

AUGUST 9, 2023

Why phishing simulations are important Recent statistics show phishing threats continue to rise. Since 2019, the number of phishing attacks has grown by 150% percent per year— with the Anti-Phishing Working Group (APWG) reporting an all-time high for phishing in 2022 , logging more than 4.7 million phishing sites.

Testing 75

Testing Measurement Behavioral Analytics Reporting 75

DataRobot

AUGUST 5, 2021

In 2019, Utah struck a deal with Banjo, a threat detection firm selling AI services to process live traffic feeds, dispatch logs, and other data. Some participants were also shown the statistical distribution of the potential rental prices against the prediction point estimate. Is there too much hype about AI or too much doomsaying?

Uncertainty 98

Uncertainty Sales Risk Statistics 98

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

With those stakes and the long forecast horizon, we do not rely on a single statistical model based on historical trends. Figure 2: Forecast triangulation Integrating customer forecasts with statistical forecasts In strategic forecasting, the proposed forecast may rely partially on forecasts or assumptions not owned by the data scientist.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

CIO Business Intelligence

DECEMBER 14, 2022

In the first half of 2022, productivity — the measure of how much output in goods and services an employee can produce in an hour — plunged by the sharpest rate on record going back to 1947, according to data from the Bureau of Labor Statistics. So many IT leaders are taking steps to pare down those tools to streamline work.

IT 143

IT Insurance Management Statistics 143

Smart Data Collective

SEPTEMBER 30, 2021

This article will help you to understand how remote working has caused cybercrime, its consequences, and proactive measures focusing on AI-driven cybersecurity apps to handle this critical issue. Even though phishing assaults decreased in 2019, they still accounted for one out of every 4,200 emails in 2020.

Optimization 112

Optimization IoT Cost-Benefit Data-driven 112

O'Reilly on Data

MARCH 31, 2020

All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data. Measurement, tracking, and logging is less of a priority in enterprise software. Spring 2019 Full Stack Deep Learning Bootcamp (Berkeley).

Management 327

Management Machine Learning Experimentation Metrics 327

datapine

FEBRUARY 23, 2023

2) Charts And Graphs Categories 3) 20 Different Types Of Graphs And Charts 4) How To Choose The Right Chart Type Data and statistics are all around us. That said, there is still a lack of charting literacy due to the wide range of visuals available to us and the misuse of statistics. Table of Contents 1) What Are Graphs And Charts?

Visualization 177

Visualization Dashboards Sales Measurement 177

Insight

FEBRUARY 19, 2020

In 2019, Netflix alone released 371 new TV shows and movies. The genre uniqueness is a measure of how unique a movie’s combination of genre categories is relative to all movies in my data set. Box office revenue would likely also be a more concrete measure of success than average IMDb user rating.

Risk 67

Risk ROI Modeling Metrics 67

datapine

NOVEMBER 27, 2019

2019 was a particularly major year for the business intelligence industry. While we work on programs to avoid such inconvenience , AI and machine learning are revolutionizing the way we interact with our analytics and data management while increment in security measures must be taken into account.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Smart Data Collective

NOVEMBER 25, 2021

It highlights the need for data encryption and other data security measures. First of all, let’s look into some statistics. Unfortunately, the growing reliance of the Internet has left millennials and Generation Y students more vulnerable to data privacy concerns. What Research Shows. Big data technology is helping immensely.

Big Data 96

Big Data Risk Data-driven ROI 96

FineReport

FEBRUARY 25, 2020

Only by knowing the epidemic situation in time can we deploy timely prevention and control measures. 2019’s Best Excel Reporting Tool that Reaches Far beyond Excel. Under this crisis, the timely collection of personnel information has become an important part of the prevention and control of the virus. Health information collection.

Data Collection 96

Data Collection IT Dashboards Reporting 96

Smart Data Collective

DECEMBER 18, 2020

The collected data is encrypted and sent using the Google Analytics Measurement Protocol,” the Kaspersky report notes. . Google Analytics software is free to use and helps website owners and marketers alike to measure the traffic arriving from other sites and external sources to their own. Stealing Credit Cards With Google Analytics.

Analytics 82

Analytics Broadcasting Measurement Data Processing 82

Sisense

DECEMBER 11, 2019

The challenge is to do it right, and a crucial way to achieve it is with decisions based on data and analysis that drive measurable business results. It’s why Sisense, having merged with Periscope Data in May 2019, chose to host this event in Tel Aviv. Driving startup growth with the power of data. It’s the aspiration of every startup.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

O'Reilly on Data

DECEMBER 12, 2019

Residuals are a numeric measurement of model errors, essentially the difference between the model’s prediction and the known true outcome. 8] , [12] Again, traditional model assessment measures don’t tell us much about whether a model is secure. Currency amounts reported in Taiwan dollars. Residual analysis.

Machine Learning 187

Machine Learning Modeling Testing Risk Management 187

Domino Data Lab

MAY 8, 2019

Visualizations are vital in data science work, with the caveat that the information that they convey may be 4-5 layers of abstraction away from the actual business process being measured. measure the subjects’ ability to trust the models’ results. Use of influence functions goes back to the 1970s in robust statistics.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Peter James Thomas

APRIL 9, 2019

Maybe I will do better with 2019’s highlights! This increase was driven in part by the launch of my new Maths & Science section , articles from which claimed no fewer than 6 slots in the 2018 top 10 articles, when measured by hits [1]. Statistics & Data Science. Statistics & Data Science.

Data-driven 49

Data-driven Statistics Big Data Data Science 49

CIO Business Intelligence

APRIL 7, 2022

The number of people quitting their jobs has been unprecedented throughout the pandemic, hitting a record high of 48 million people in 2020, up from 42 million in 2019, which was the previous record high. But the AI tool can help measure employee moods. The “Great Resignation” has been no exaggeration.

Consulting 135

Consulting Management Interactive Metadata 135

Depict Data Studio

APRIL 16, 2019

GRADprofdev #GradsDo pic.twitter.com/Dw15UFiFDh — GradSchoolatUSC (@GradSchoolatUSC) April 5, 2019. Long ago, I had majored in psychology so I could take as many research methods and statistics courses as possible. link] — Heather Brandt (@BlondeScientist) April 11, 2019. Measure the Reading Grade Level of Your Writing.

Visualization 56

Visualization Reporting Statistics Dashboards 56

Smart Data Collective

JUNE 3, 2019

They show statistics that 2.5 The promise of significant and measurable business value can only be achieved if organizations implement an information foundation that supports the rapid growth, speed and variety of data. The financial industry is undergoing a number of changes in 2019. Don’t forget to look into credit unions.

Big Data 73

Big Data Cost-Benefit Unstructured Data Risk 73

InsightOut

OCTOBER 15, 2021

The power to access, analyze and present data sets from complex statistical programs lay only within their restricted reach. Gartnerxe2x80x99s Fifth Annual CDO Survey (2019) indicated that only 23% of respondents defined and tracked metrics to measure the value delivered by data and analytics to stakeholder outcomes.

Dashboards 52

Dashboards Key Performance Indicator Digital Transformation Metrics 52

FineReport

FEBRUARY 25, 2020

Only by knowing the epidemic situation in time can we deploy timely prevention and control measures. 2019’s Best Excel Reporting Tool that Reaches Far beyond Excel. Under this crisis, the timely collection of personnel information has become an important part of the prevention and control of the virus. Health information collection.

Data Collection 59

Data Collection IT Dashboards Reporting 59

Sisense

JULY 27, 2021

The box score was developed by sportswriter Henry Chadwick in 1858, and over 150 years later, statistics, data, and analysis have revolutionized the sport. So it made perfect sense in 2019 to open a beautiful new concert hall there. Major League Baseball battles against pitchers’ use of “sticky stuff” — backed by data.

Analytics 52

Analytics Data-driven Statistics Measurement 52

Corinium

APRIL 25, 2019

For example, P&C insurance strives to understand its customers and households better through data, to provide better customer service and anticipate insurance needs, as well as accurately measure risks. What are you most looking forward to about CDAOI Insurance 2019?

Insurance 150

Insurance Risk IoT Cost-Benefit 150

O'Reilly on Data

DECEMBER 9, 2019

We develop an ordinary least squares (OLS) linear regression model of equity returns using Statsmodels, a Python statistical package, to illustrate these three error types. CI theory was developed around 1937 by Jerzy Neyman, a mathematician and one of the principal architects of modern statistics.

Statistics 27

Statistics Uncertainty Risk Marketing 27

Domino Data Lab

AUGUST 8, 2019

Sci Foo 2019. Their approach is to bombard “organoid” mini brains living in vats with potential cancer meds, to measure the meds’ relative effects. For example, meeting Carole Goble was one of the top highlights of Sci Foo 2019 for me. Afterward, I headed quietly back to my laptop for some light coding to recover.

Data Science 71

Data Science Machine Learning Data Governance Statistics 71

Peter James Thomas

OCTOBER 1, 2019

Throughout I use the word “category” to refer to something discrete that is plotted on an axis, for example France, Germany, Italy and The UK, or 2016, 2017, 2018 and 2019. Some authorities describe them as any diagram using a map to display statistical data; I cover this type of general chart in Map Charts below.

Sales 61

Sales Measurement Statistics Data Architecture 61

O'Reilly on Data

MARCH 20, 2019

Benchmark models : An older or trusted interpretable modeling pipeline, or other highly transparent predictor, can be used as a benchmark model from which to measure whether a prediction was manipulated by any number of means. O’Reilly Ideas (2019). This could include data poisoning, watermark attacks, or adversarial example attacks.

Modeling 219

Modeling Machine Learning Predictive Modeling Consulting 219

Andrew White

JANUARY 11, 2021

measuring value, prioritizing (where to start), and data literacy? But we are seeing increasing data suggesting that broad and bland data literacy programs, for example statistics certifying all employees of a firm, do not actually lead to the desired change. Great idea. I think some of our earlier webinars touch on these.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

MAY 1, 2023

Manage compliance through up-to-the-minute performance measures, workflow automation, and essential regulatory reports. Advanced Analytics Some apps provide a unique value proposition through the development of advanced (and often proprietary) statistical models. How to measure the value.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52