Analytics Vidhya

MAY 9, 2024

It involves dividing a training dataset into multiple subsets and testing it on a new set. Introduction Cross-validation is a machine learning technique that evaluates a model’s performance on a new dataset. This prevents overfitting by encouraging the model to learn underlying trends associated with the data.

Machine Learning 287

Machine Learning Testing Modeling Analytics 287

Smart Data Collective

SEPTEMBER 22, 2021

In this blog post, we discuss the key statistics and prevention measures that can help you better protect your business in 2021. Cyber fraud statistics and preventions that every internet business needs to know to prevent data breaches in 2021. Sure, the above tips stand the test of time for cyber security.

Statistics 107

Statistics Risk Measurement Software 107

O'Reilly on Data

FEBRUARY 16, 2023

There are excellent summaries of these failures in Ben Thompson’s newsletter Stratechery and Simon Willison’s blog. That’s what beta tests are for. Remember that these tools aren’t doing math, they’re just doing statistics on a huge body of text. So it’s not surprising that things are wrong.

Testing 220

Testing Statistics Modeling Optimization 220

AWS Big Data

MARCH 22, 2024

Benchmark setup In our testing, we used the 3 TB dataset stored in Amazon S3 in compressed Parquet format and metadata for databases and tables is stored in the AWS Glue Data Catalog. Table and column statistics were not present for any of the tables. As shown in this blog post, our TPC-DS benchmark showed a 2.7

Metadata 90

Metadata Statistics Broadcasting Optimization 90

DataKitchen

NOVEMBER 18, 2022

As he thinks through the various journeys that data take in his company, Jason sees that his dashboard idea would require extracting or testing for events along the way. Data and tool tests. DataOps Observability must also store run data over time for root cause diagnosis and statistical process control analysis.

Testing 130

Testing Statistics Measurement Metrics 130

DataKitchen

JUNE 7, 2021

Test Coverage and Inventory Reports show the degree of test coverage of the data analytics pipeline. Statistical process controls allow the data analytics team to monitor streaming data and the end-to-end pipeline, ensuring that everything is operating as expected. Tests apply to code (analytics) and streaming data.

Testing 130

Testing IT Measurement Data-driven 130

Domino Data Lab

OCTOBER 7, 2020

Statistical methods for analyzing this two-dimensional data exist. MANOVA, for example, can test if the heights and weights in boys and girls is different. This statistical test is correct because the data are (presumably) bivariate normal. In this blog we show what the changes in behavior of data are in high dimensions.

Statistics 145

Statistics Testing Predictive Modeling Modeling 145

IBM Big Data Hub

APRIL 13, 2023

Creating train/test partitions of the dataset Before collecting deeper insights into the data, I’ll divide this dataset into train and test partitions using Db2’s RANDOM_SAMPLING SP. outtable=FLIGHT.FLIGHTS_TRAIN, by=FLIGHTSTATUS') Copy the remaining records to a test PARTITION. Create a TRAIN partition.

Modeling 81

Modeling Statistics Machine Learning Testing 81

BA Learnings

JANUARY 2, 2023

In this blog post, we'll discuss eleven tips that you can use to leverage data and analytics to improve your business processes. This may require using tools such as Microsoft Excel or Google Sheets for fundamental statistical analysis or more advanced tools such as Tableau for visualizing complex datasets.

Data Analytics 130

Data Analytics Analytics Metrics Testing 130

IBM Big Data Hub

FEBRUARY 13, 2024

Generative AI uses advanced machine learning algorithms and techniques to analyze patterns and build statistical models. Each output is unique yet statistically tethered to the data the model learned from. Imagine each data point as a glowing orb placed on a vast, multi-dimensional landscape.

Enterprise 119

Enterprise Modeling Testing Data-driven 119

datapine

JANUARY 24, 2021

You’ll want to be mindful of the level of measurement for your different variables, as this will affect the statistical techniques you will be able to apply in your analysis. There are basically 4 types of scales: *Statistics Level Measurement Table*. 5) Which statistical analysis techniques do you want to apply?

IT 317

IT Statistics KPI Data-driven 317

DataKitchen

JANUARY 19, 2022

Imagine a large enterprise yielding significant value from their Matillion-Snowflake integration, but wishing to expand the scope of data pipeline deployment, testing, and monitoring. DataKitchen triggers a Matillion job, then retrieves execution parameters that can be used in DataKitchen tests. Parameterizing Matillion JSON Files.

Testing 130

Testing Data Integration Data Warehouse Enterprise 130

Domino Data Lab

JULY 28, 2021

Through a marriage of traditional statistics with fast-paced, code-first computer science doctrine and business acumen, data science teams can solve problems with more accuracy and precision than ever before, especially when combined with soft skills in creativity and communication. Math and Statistics Expertise.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

IBM Big Data Hub

APRIL 9, 2024

. “With the data we’ve prepared we can then calculate the odds of a birdie or an eagle from a particular sector; we can also look across to the opposite side of the fairway for contrastive statistics,” says Baughman. ” Training and testing models The Masters digital team used watsonx.ai

Management 79

Management IT Machine Learning Metrics 79

DataKitchen

JULY 3, 2023

This innovative approach merges the agility of Agile Development, the stability of DevOps, and the meticulousness of Statistical Process Controls, orchestrating a dynamic, enriched, and nimble data ecosystem that is truly remarkable. They need help creating data tests and observing the entire Data Journey for success.

Testing 130

Testing Risk Data-driven Statistics 130

Cloudera

MAY 22, 2023

Report Standardization Take these steps: Inventory reports, including ownership, usage statistics, and report frequency. DB Standardization As before, inventory database assets, ownership, refresh frequency, and associated usage statistics. Target temporary/testing databases and user databases owned by former FTE.

Statistics 74

Statistics Data-driven Reporting Dashboards 74

datapine

JANUARY 6, 2022

More often than not, it involves the use of statistical modeling such as standard deviation, mean and median. Let’s quickly review the most common statistical terms: Mean: a mean represents a numerical average for a set of responses. Standard deviation: this is another statistical term commonly appearing in quantitative analysis.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

IBM Big Data Hub

AUGUST 9, 2023

A phishing simulation is a cybersecurity exercise that tests an organization’s ability to recognize and respond to a phishing attack. Why phishing simulations are important Recent statistics show phishing threats continue to rise. The only difference is that recipients who take the bait (e.g., million phishing sites.

Testing 74

Testing Measurement Behavioral Analytics Reporting 74

AWS Big Data

MARCH 27, 2024

By testing the solution against key metrics, a POC provides insights that allow you to make an informed decision on the suitability of the technology for the intended use case. Complete the implementation tasks such as data ingestion and performance testing. Collect data metrics and statistics on the completed tasks.

Testing 99

Testing Data Warehouse Metrics Cost-Benefit 99

IBM Big Data Hub

DECEMBER 18, 2023

Synthetic data is a statistical representation of reality. When an end user visits the web property, that JavaScript tag performs a series of tests which collect data on performance and availability. Those test results are then sent to NS1 Connect for analysis. appeared first on IBM Blog.

IT 63

IT Metrics Optimization Testing 63

The Unofficial Google Data Science Blog

JANUARY 16, 2018

We present data from Google Cloud Platform (GCP) as an example of how we use A/B testing when users are connected. Experimentation on networks A/B testing is a standard method of measuring the effect of changes by randomizing samples into different treatment groups. These contribute to the structure and size of components.

Testing 58

Testing Experimentation Measurement Modeling 58

IBM Big Data Hub

NOVEMBER 29, 2023

Creating synthetic test data to expedite testing, optimization and validation of new applications and features. In other words, a differentially private synthetic dataset still reflects the statistical properties of your real dataset. How to get started with synthetic data in watsonx.ai Explore the benefits of watsonx.ai

Metrics 80

Metrics Machine Learning Statistics Risk 80

IBM Big Data Hub

SEPTEMBER 28, 2023

Based on initial IBM Research evaluations and testing , across 11 different financial tasks, the results show that by training Granite-13B models with high-quality finance data, they are some of the top performing models on finance tasks, and have the potential to achieve either similar or even better performance than much larger models.

Testing 87

Testing Finance Enterprise Modeling 87

Smarten

JANUARY 30, 2024

The right self-serve data prep solution can provide easy-to-use yet sophisticated data prep tools that are suitable for your business users, and enable data preparation techniques like: Connect and Mash Up Auto Suggesting Relationships JOINS and Types Sampling and Outliers Exploration, Cleaning, Shaping Reducing and Combining Data Insights (Data Quality (..)

Analytics 67

Analytics Data Quality Visualization Metadata 67

CIO Business Intelligence

APRIL 11, 2022

In December 2021, Broadcom Software published our blog: Predictions for 2022. We will now explore each of these predictions in more depth with this blog series. For this blog, our topic is artificial intelligence. By Andy Nallappan, Chief Technology Officer and Head of Software Business Operations, Broadcom Software.

Software 70

Software Data-driven Machine Learning Testing 70

IBM Big Data Hub

SEPTEMBER 19, 2023

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

O'Reilly on Data

MARCH 26, 2024

But perhaps it should infringe something: even when the collection of data is legal (which, statistically, it won’t entirely be for any web-scale corpus), it doesn’t mean it’s legitimate, and it definitely doesn’t mean there was informed consent. This essay first appeared on Hugo Bowne-Anderson’s blog. joined Flickr.

Modeling 282

Modeling Machine Learning Risk Advertising 282

Sisense

JANUARY 14, 2021

With that in mind, the developers at Billie came up with the idea to automatically test Sisense charts. This meant that we could access and test all of the charts by simply cloning the corresponding Git repository and running the code for each chart.”. Run the queries and store the results for later analysis of tests.

Dashboards 85

Dashboards Testing Business Intelligence Interactive 85

Sisense

JANUARY 21, 2020

This is an example of Simpon’s paradox , a statistical phenomenon in which a trend that is present when data is put into groups reverses or disappears when the data is combined. It’s time to introduce a new statistical term. A new drug promising to reduce the risk of heart attack was tested with two groups.

Testing 104

Testing Risk Data-driven Statistics 104

datapine

MARCH 16, 2023

For that purpose, we are creating a series of blog posts that will take an in-depth look at the most common types of graphs and charts out there and explore their main uses through insightful business examples. Your Chance: Want to test modern data visualization software for free? We will discuss each of them below.

Visualization 196

Visualization KPI Cost-Benefit Dashboards 196

Depict Data Studio

AUGUST 28, 2023

Numbers are test scores, ages, number of people, amount of money donated, etc. For numbers , we need to tabulate them using descriptive statistics , which often aren’t possible with pivot tables. Here’s an older blog post that shows you how to get started with pivot tables within minutes.

Statistics 52

Statistics Dashboards Interactive Measurement 52

IBM Big Data Hub

JULY 6, 2023

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. Ultimately, data science is used in defining new business problems that machine learning techniques and statistical analysis can then help solve. appeared first on IBM Blog.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

IBM Big Data Hub

JANUARY 25, 2024

Over time, inventory managers have tested different approaches to determine the best fit for their organizations. Consider these questions: Do you have a platform that combines statistical analyses, prescriptive analytics and optimization algorithms? The post MRO spare parts optimization appeared first on IBM Blog.

Optimization 73

Optimization Cost-Benefit Prescriptive Analytics Manufacturing 73

Octopai

MAY 2, 2022

Common elements of DataOps strategies include: Collaboration between data managers, developers and consumers A development environment conducive to experimentation Rapid deployment and iteration Automated testing Very low error rates. But the approaches and principles that form the basis of DataOps have been around for decades.

Manufacturing 87

Manufacturing Testing Experimentation Data Quality 87

Cloudera

JUNE 28, 2022

In a previous blog of this series, Turning Streams Into Data Products , we talked about the increased need for reducing the latency between data generation/ingestion and producing analytical results and insights from this data. This blog will be published in two parts. This is what we call the first-mile problem.

Dashboards 85

Dashboards Machine Learning Statistics KPI 85

Smart Data Collective

FEBRUARY 21, 2021

Else, it is just a set of numbers that will end up as statistics. You can create it from scratch or collect a set of the most popular articles from your blog. You can use various data-driven split-testing techniques to see which styles work best. Show your expertise not only in your blog but also in your partners’ space.

Strategy 99

Strategy Data Analytics Analytics Data-driven 99

Cloudera

DECEMBER 3, 2021

In part 1 of this blog post, we discussed the need to be mindful of data bias and the resulting consequences when certain parameters are skewed. Tracking key metrics and statistical distributions over time and alerting humans when either of these significantly drift can ensure that systems remain performant and fair.

Uncertainty 102

Uncertainty Measurement Metrics Risk 102