DataKitchen

DECEMBER 9, 2024

This blog dives into the remarkable journey of a data team that achieved unparalleled efficiency using DataOps principles and software that transformed their analytics and data teams into a hyper-efficient powerhouse. This team built data assets with best-in-class productivity and quality through an iterative, automated approach.

Data Quality

Analytics Vidhya

DECEMBER 27, 2024

Probability is a cornerstone of statistics and data science, providing a framework to quantify uncertainty and make predictions. appeared first on Analytics Vidhya. Understanding joint, marginal, and conditional probability is critical for analyzing events in both independent and dependent scenarios. What is Probability?

Uncertainty

KDnuggets

JULY 16, 2025

Key activities during this phase include: Exploratory Data Analysis (EDA) : Use visualizations and summary statistics to understand distributions, relationships, and anomalies. Outlier detection and treatment : Identify extreme values using statistical methods (e.g., Approaches include: Filter methods : Use statistical measures (e.g.,

Modeling

DataFloq

JUNE 10, 2025

Bureau of Labor Statistics estimates that the number of jobs in data science will increase by 34% in the upcoming years, precisely by 2026. Embracing advanced analytics such as AI and machine learning will greatly improve the ability to interpret big data. Companies are looking to recruit more people in this field because the U.S.

Statistics

Analytics Vidhya

DECEMBER 2, 2024

As indicated in machine learning and statistical modeling, the assessment of models impacts results significantly. appeared first on Analytics Vidhya. Accuracy falls short of capturing these trade-offs as a means to work with imbalanced datasets, especially in terms of precision and recall ratios.

Machine Learning

KDnuggets

JULY 17, 2025

Our Top 5 Free Course Recommendations --> Get the FREE ebook The Great Big Natural Language Processing Primer and The Complete Collection of Data Science Cheat Sheets along with the leading newsletter on Data Science, Machine Learning, AI & Analytics straight to your inbox.

Machine Learning

Analytics Vidhya

NOVEMBER 25, 2024

The normal distribution, also known as the Gaussian distribution, is one of the most widely used probability distributions in statistics and machine learning. appeared first on Analytics Vidhya. Understanding its core properties, mean and variance, is important for interpreting data and modelling real-world phenomena.

Statistics

KDnuggets

JUNE 24, 2025

Building the Pipeline Class Our main pipeline class encapsulates all cleaning and validation logic: class DataPipeline: def __init__(self): self.cleaning_stats = {duplicates_removed: 0, nulls_handled: 0, validation_errors: 0} The constructor initializes a statistics dictionary to track changes made during processing.

Machine Learning

KDnuggets

AUGUST 8, 2025

Heres the thing most data teams run into: feature engineering needs both domain expertise and statistical intuition, but the whole process remains pretty manual and inconsistent from project to project. The prompt includes dataset statistics, column relationships, and business context to produce relevant suggestions.

Data Science

KDnuggets

JULY 15, 2025

Its key goals are to ensure data quality, consistency, and usability and align data with analytical models or reporting needs. Recommended actions: Select storage systems that align with your analytical needs (e.g., Reporting and Analytics Finally, deliver value by exposing insights to stakeholders.

Data Science

Analytics Vidhya

APRIL 22, 2025

With its use of statistical […] The post How to Perform Data Preprocessing Using Cleanlab? appeared first on Analytics Vidhya. By automating the detection and correction of label errors, Cleanlab simplifies the process of data preprocessing in machine learning.

Machine Learning

Jen Stirrup

JULY 15, 2025

The irony is striking: despite unprecedented access to information, many companies struggle to translate their analytical investments into tangible business outcomes. The most impactful analytics doesn't just show trends—it illustrates consequences, opportunities, and human impact. Failure to answer "So what?"

Analytics

KDnuggets

JULY 17, 2025

By subscribing you accept KDnuggets Privacy Policy Leave this field empty if youre human: Get the FREE ebook The Great Big Natural Language Processing Primer and The Complete Collection of Data Science Cheat Sheets along with the leading newsletter on Data Science, Machine Learning, AI & Analytics straight to your inbox.

Machine Learning

KDnuggets

JULY 1, 2025

Whether you are interested in data manipulation, visualization, or statistical modeling, this list is your gateway to the R ecosystem. Awesome Analytics: Top Analytics Tools and Frameworks Link: oxnr/awesome-analytics A curated list of analytics frameworks, software, and tools.

Data Science

KDnuggets

JULY 22, 2025

Calculating Aggregate Statistics from JSON Quick statistical analysis of JSON data helps identify trends and patterns. API, Database, Campaign, Analytics, Frontend, Testing, Outreach, CRM] # Conclusion These Python one-liners show how useful Python is for JSON data manipulation.

Data Science

AWS Big Data

DECEMBER 17, 2024

Amazon Redshift , launched in 2013, has undergone significant evolution since its inception, allowing customers to expand the horizons of data warehousing and SQL analytics. This allowed customers to scale read analytics workloads and offered isolation to help maintain SLAs for business-critical applications.

Data Lake

Jen Stirrup

JULY 12, 2025

When organizations attempt to build advanced analytics or AI capabilities on shaky data foundations, the results are predictable. Insufficient Technical Infrastructure Many organizations maintain data infrastructures designed for traditional analytics rather than the demands of modern AI workloads.

Enterprise

KDnuggets

JULY 4, 2025

This is particularly important, since PCA is a deeply statistical method that relies on feature variances to determine principal components : new features derived from the original ones and orthogonal to each other. For example, setting n_components to 0.95

Machine Learning

KDnuggets

JULY 22, 2025

It’s a great, no-cost way to start learning and experimenting with large-scale analytics. Get Started: Geospatial Analytics with BigQuery Learn more: Earth Engine in BigQuery 8. Make Sense of Log Data Most people think of BigQuery for analytical data, but it’s also a powerful destination for operational data.

Data Science

Smarten

FEBRUARY 19, 2025

Use Predictive Analytics for Fact-Based Decisions! To accomplish these goals, businesses are using predictive modeling and predictive analytics software and solutions to ensure dependable, confident decisions by leveraging data within and outside the walls of the organization and analyzing that data to predict outcomes in the future.

Predictive Analytics

KDnuggets

JUNE 19, 2025

By Bala Priya C , KDnuggets Contributing Editor & Technical Content Specialist on June 19, 2025 in Programming Image by Author | Ideogram Youre architecting a new data pipeline or starting an analytics project, and you’re probably considering whether to use Python or Go. Five years ago, this wasnt even a debate.

Experimentation

AWS Big Data

DECEMBER 4, 2024

Amazon SageMaker Lakehouse unifies all your data across Amazon S3 data lakes and Amazon Redshift data warehouses, helping you build powerful analytics and AI/ML applications on a single copy of data. For each table ingested by the zero-ETL integration, two groups of logs are created: status and statistics.

Data Integration

Smarten

NOVEMBER 18, 2024

Look for Analytics with Low-Code/No-Code Technology! The advent of low-code, no-code app and software development has enabled rapid, innovative changes to all types of development projects and that new environment is evident in Modern Business Intelligence (BI) and Augmented Analytics products and solutions.

Analytics

CIO Business Intelligence

FEBRUARY 6, 2025

As someone deeply involved in shaping data strategy, governance and analytics for organizations, Im constantly working on everything from defining data vision to building high-performing data teams. But heres the question I keep asking myself: do we really need this immense power for most of our analytics? Theyre impressive, no doubt.

Unstructured Data

AWS Big Data

JUNE 26, 2025

In the Statistics column, you can view your API usage beyond the default Sum , Min , and Max metrics. You can now select a wide variety of statistical methods to analyze your usage patterns, as shown in the following screenshot. Choose Sum as the primary statistic. The CallCount metric doesn’t have a specified unit.

Metrics

CIO Business Intelligence

JANUARY 14, 2025

And the Global AI Assessment (AIA) 2024 report from Kearney found that only 4% of the 1,000-plus executives it surveyed would qualify as leaders in AI and analytics. To counter such statistics, CIOs say they and their C-suite colleagues are devising more thoughtful strategies.

Strategy

KDnuggets

JUNE 26, 2025

You can start with this foundation and gradually add sophisticated features like statistical anomaly detection, custom quality metrics, or integration with your existing MLOps pipeline. Most importantly, this approach bridges the gap between data science expertise and organizational accessibility.

Data Quality

AWS Big Data

OCTOBER 25, 2024

Amazon Redshift is a fast, scalable, and fully managed cloud data warehouse that allows you to process and run your complex SQL analytics workloads on structured and semi-structured data. It does this by using statistics about the data together with the query to calculate a cost of executing the query for many different plans.

Statistics

DataKitchen

JUNE 6, 2025

Data Quality Testing: A Shared Resource for Modern Data Teams In today’s AI-driven landscape, where data is king, every role in the modern data and analytics ecosystem shares one fundamental responsibility: ensuring that incorrect data never reaches business customers.

Data Quality

Smart Data Collective

JULY 20, 2025

today, according to the Bureau of Labor Statistics. Accept X By using this site, you agree to the Privacy Policy and Terms of Use. All Rights Reserved. Reading: How CIS Credentials Can Launch Your AI Development Career Share Notification Font Resizer Aa Font Resizer Aa Search About Help Privacy Follow US © 2008-23 SmartData Collective.

Big Data

AWS Big Data

JANUARY 9, 2025

Our benchmarks show that Iceberg performs comparably to direct Amazon S3 access, with additional optimizations from its metadata and statistics usage, similar to database indexing. We also discuss that there is no magic partitioning and all sorting scheme where one size fits all in the context of quant research.

Metadata

Smarten

NOVEMBER 26, 2024

The business can harness the power of statistics and machine learning to uncover those crucial nuggets of information that drive effective decision, and to improve the overall quality of data. Discover the power of Augmented Analytics , machine learning, and Natural Language Processing (NLP).

Machine Learning

KDnuggets

JULY 21, 2025

Generative AI: A Self-Study Roadmap Get the FREE ebook The Great Big Natural Language Processing Primer and The Complete Collection of Data Science Cheat Sheets along with the leading newsletter on Data Science, Machine Learning, AI & Analytics straight to your inbox.

Machine Learning

Smart Data Collective

JUNE 16, 2025

Contents Data That Writes, Draws, and Predicts Speed, Scale, and Unlikely Insights The Importance of Training Data Data That Writes, Draws, and Predicts At the heart of these systems is the ability to learn from vast datasets and generate entirely new outputs that follow the statistical logic of the information they were trained on.

Business Intelligence

KDnuggets

JULY 24, 2025

By subscribing you accept KDnuggets Privacy Policy Leave this field empty if youre human: Get the FREE ebook The Great Big Natural Language Processing Primer and The Complete Collection of Data Science Cheat Sheets along with the leading newsletter on Data Science, Machine Learning, AI & Analytics straight to your inbox.

Machine Learning

DataKitchen

JULY 31, 2025

These automated tests include completeness checks, format validation, range verification, referential integrity tests, statistical anomaly detection, and business rule validation. This mirrors agile product development, treating your most important data with the same rigor you’d apply to your core products.

Data Governance

DataKitchen

NOVEMBER 5, 2024

This intermediate layer strikes a balance by refining data enough to be useful for general analytics and reporting while still retaining flexibility for further transformations in the Gold layer. At the same time, the Gold layer’s “single version of the truth” makes data accessible and reliable for reporting and analytics.

Data Quality