KDnuggets

SEPTEMBER 28, 2022

We explain how choosing a small, representative dataset from a large population can improve model training reliability.

Machine Learning 400

Machine Learning Machine Learning 400

Analytics Vidhya

SEPTEMBER 21, 2022

This article was published as a part of the Data Science Blogathon. Introduction “Big data in healthcare” refers to much health data collected from many sources, including electronic health records (EHRs), medical imaging, genomic sequencing, wearables, payer records, medical devices, and pharmaceutical research. Its characteristics distinguish it from traditional electronic medical and human health data […].

Big Data 400

Big Data Big Data Data Science Analytics 400

Dataconomy

SEPTEMBER 6, 2022

Modernizing industries depend heavily on emerging technologies. These technologies, like artificial intelligence, are primarily impactful for the manufacturing, energy, and transportation sectors. Enterprises are being transformed into a digital environment with emerging technologies. Every time the phrase “technology” is used, something new is always being developed or put into use.

Artificial Intelligence 254

Artificial Intelligence Artificial Intelligence AI AI 254

Smart Data Collective

SEPTEMBER 30, 2022

Last decade made a pretty bold promise to digital advertising, which more than other industries suffers from insufficient transparency and a fraudulent environment. The IAB Tech Lab conferences , in particular, frequently gathered blockchain evangelists and ad tech experts who discussed how this technology would finally drive authentication to programmatic chains.

Database 145

Database Algorithm AI AI 145

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

Analytics

DataRobot Blog

SEPTEMBER 1, 2022

The latest McKinsey Global Survey on AI proves that AI adoption continues to grow and that the benefits remain significant. But in the COVID-19 pandemic’s first year, many felt more strongly about the cost-savings front than the top line. At the same time, AI remains complex and out of reach for many. For example, a recent IDC study 1 shows that it takes about 290 days on average to deploy a model into production from start to finish.

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AI AI ML ML 145

FlowingData

SEPTEMBER 15, 2022

Serena Wiliams’ tennis career is impressive for its success and longevity, which are easily seen here. The Athletic compiled a list of the Grand Slam champions that Williams beat between 1991 and 2019, which happens to be everyone. Sometimes the simplest presentation is best. In this example, the angle they looked at the data makes the graphic.

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Analytics Vidhya

SEPTEMBER 17, 2022

This article was published as a part of the Data Science Blogathon. Introduction Conventionally, an automatic speech recognition (ASR) system leverages a single statistical language model to rectify ambiguities, regardless of context. However, we can improve the system’s accuracy by leveraging contextual information. Any type of contextual information, like device context, conversational context, and metadata, […].

Data Science 400

Data Science Analytics Analytics Machine Learning 400

Dataconomy

SEPTEMBER 5, 2022

Data management enables a business process to be more efficient. The majority of contemporary organizations are aware of the value of data. This frequently means depending on the reports produced by the third-party software platforms they use daily for small firms. It is important to combine this data into a.

Data Governance 204

Data Governance Big Data Big Data Analytics 204

Smart Data Collective

SEPTEMBER 30, 2022

Given the growing importance of big data and the rising reliance of businesses on big data analytics to carry out their day-to-day operations, it is safe to say that big data has irrevocably altered the online world for anyone running a digital enterprise or an e-business. Big data’s invaluable insights are an essential factor in the success of enterprises.

Big Data 145

Big Data Big Data Big Data Analytics Big Data Analytics 145

The Data Administration Newsletter

SEPTEMBER 21, 2022

Data is the viral sensation crashing the data governance capacity. Use of data is disrupting industries, economies, even some government elections. Unlocking the secrets data holds is the number one challenge in every single company regardless of the size or industry. However, organizations are facing a challenge: having the framework is key. And yet, execution, […].

Data Governance 141

Data Governance AI AI Artificial Intelligence 141

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

AI

FlowingData

SEPTEMBER 27, 2022

To teach, learn, and measure the process of analysis more concretely, Lucy D’Agostino McGowan, Roger D. Peng, and Stephanie C. Hicks explain their work in the Journal of Computational and Graphical Statistics : The design principles for data analysis are qualities or characteristics that are relevant to the analysis and can be observed or measured.

Data Analysis 141

Data Analysis Data Analysis Data Visualization Data Analyst 141

KDnuggets

SEPTEMBER 20, 2022

When building and optimizing your classification model, measuring how accurately it predicts your expected outcome is crucial. However, this metric alone is never the entire story, as it can still offer misleading results. That's where these additional performance evaluations come into play to help tease out more meaning from your model.

Machine Learning 400

Machine Learning Machine Learning 400

Analytics Vidhya

SEPTEMBER 11, 2022

This article was published as a part of the Data Science Blogathon. Introduction Blockchain technology is a decentralized, distributed ledger that keeps a record of ownership of digital assets. Any data stored on the blockchain cannot be modified, making the technology a legitimate disruptor for payments, cybersecurity, and healthcare industries. Blockchain is a system of registering […].

Data Science 399

Data Science Analytics Analytics 399

Dataconomy

SEPTEMBER 2, 2022

Dataconomy, Europe’s leading media and events platform for the data-driven generation, hosted the 8th edition of Data Natives 2022 (DN22) was a resounding success, welcoming over 1,000 on-site visitors, with thousands more participating via social media. From August 31st to September 2nd, Europe’s largest tech and Artificial Intelligence conference showcased.

Data Science 195

Data Science Artificial Intelligence Artificial Intelligence AI 195

Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives

Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri

AI

Smart Data Collective

SEPTEMBER 29, 2022

OCR is the latest new technology that data-driven companies are leveraging to extract data more effectively. There are a number of benefits of using it to your company’s advantage. OCR and Other Data Extraction Tools Have Promising ROIs for Brands. Big data is changing the state of modern business. A growing number of companies have leveraged big data to cut costs, improve customer engagement, have better compliance rates and earn solid brand reputations.

Data Quality 145

Data Quality Big Data Big Data Artificial Intelligence 145

Hacker News

SEPTEMBER 22, 2022

What do you do when you’ve secured your legacy as one of the great creative minds of the 20th century? You make children’s books, apparently. From Milton Glaser’s If Apples Had Teeth , Saul Bass’s Henri’s Walk to Paris and Paul Rand’s I Know a Lot of Things , to Bruno Munari’s Zoo , Dick Bruna’s Miffy and Eric Carle’s The Very Hungry Caterpillar , a number of prominent mid-century designers and illustrators turned their hand to books for kids as they sank into their own old age.

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FlowingData

SEPTEMBER 26, 2022

Wildfire obviously damages the areas it comes in direct contact with, but wildfire smoke can stretch much farther. Based on research by Childs et al. , Mira Rojanasakul, for The New York Times, shows how pollution from smoke spread between 2006 and 2020. My kids’ rooms still have air filters from a few years ago, when a fire many miles away made the sky orange and our indoor environment smokey.

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KDnuggets

SEPTEMBER 16, 2022

Why is Gradient Descent so important in Machine Learning? Learn more about this iterative optimization algorithm and how it is used to minimize a loss function.

Machine Learning 400

Machine Learning Machine Learning Algorithm 400

Speaker: Frank Taliano

Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.

AI

Analytics Vidhya

SEPTEMBER 4, 2022

This article was published as a part of the Data Science Blogathon. Introduction I’ve always wondered how big companies like Google process their information or how companies like Netflix can perform searches in concise times. That’s why I want to tell you about my experience with two powerful tools they use: Apache Hive and Elasticsearch. […].

Data Science 398

Data Science Analytics Analytics Hadoop 398

Dataconomy

SEPTEMBER 6, 2022

A machine learning approach developed by researchers at MIT’s Koch Institute and Massachusetts General Hospital (MGH) may aid in cancer diagnosis of the unknown primary by examining gene expression programs associated with early cell development and differentiation. The scientists focused the model on indicators of disrupted developmental pathways in cancer cells to.

ML 172

ML ML Algorithm Machine Learning 172

Smart Data Collective

SEPTEMBER 26, 2022

An increasing number of businesses are interested in investing in blockchain technology. The technology is attracting the attention of global business executives due to its huge real-world applications. In addition, blockchain applications are more scalable and secure compared to traditional apps. Enterprise blockchain will greatly benefit businesses due to the continual expansion of digital ecosystems.

Algorithm 29

Algorithm 29

KDnuggets

SEPTEMBER 28, 2022

Generate the prompt using Phraser and create realistic art using the Diffusion model.

AI 399

AI AI Artificial Intelligence Artificial Intelligence 399

Speaker: Chris Townsend, VP of Product Marketing, Wellspring

Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?

KDnuggets

SEPTEMBER 13, 2022

This article will go over the top 5 data science skills that pay you and 5 that don’t.

Data Science 400

Data Science 400

KDnuggets

SEPTEMBER 5, 2022

People assume that NoSQL is a counterpart to SQL. Instead, it’s a different type of database designed for use-cases where SQL is not ideal. The differences between the two are many, although some are so crucial that they define both databases at their cores.

SQL 400

SQL Database 400

KDnuggets

SEPTEMBER 5, 2022

Ready to learn how to use Python for data science? This free course has got you covered!

Data Science 400

Data Science Python 400

KDnuggets

SEPTEMBER 1, 2022

Subset selection is one of the most frequently performed tasks while manipulating data. Pandas provides different ways to efficiently select subsets of data from your DataFrame.

Python 400

Python 400

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Analytics Vidhya

SEPTEMBER 30, 2022

This article was published as a part of the Data Science Blogathon. Introduction Evaluation metrics are used to measure the quality of the model. Selecting an appropriate evaluation metric is important because it can impact your selection of a model or decide whether to put your model into production. The mportance of cross-validation: Are evaluation metrics […].

Cross Validation 397

Cross Validation Data Science Analytics Analytics 397

Analytics Vidhya

SEPTEMBER 27, 2022

This article was published as a part of the Data Science Blogathon. Introduction Over the past few years, Snowflake has grown from a virtual unknown to a retailer with thousands of customers. Businesses have adopted Snowflake as migration from on-premise enterprise data warehouses (such as Teradata) or a more flexibly scalable and easier-to-manage alternative to […].

Data Warehouse 397

Data Warehouse Data Science Analytics Analytics 397

Analytics Vidhya

SEPTEMBER 16, 2022

This article was published as a part of the Data Science Blogathon. Introduction If you ever wanted to build an image classifier for text recognition, I’m assuming you probably must have implemented the classic Handwritten Digit Recognition application from TensorFlow’s official examples. Often referred to as the ‘Hello World’ of Computer Vision, it’s a great starting […].

Data Science 397

Data Science Analytics Analytics Python 397

KDnuggets

SEPTEMBER 29, 2022

TensorFlow in Action teaches you to construct, train, and deploy deep learning models using TensorFlow 2. In this practical tutorial, you’ll build reusable skills hands-on as you create production-ready applications.

Deep Learning 397

Deep Learning Deep Learning 397

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!