Sat.Apr 16, 2022 - Fri.Apr 22, 2022

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The 8 Basic Statistics Concepts for Data Science

KDnuggets

Understanding the fundamentals of statistics is a core capability for becoming a Data Scientist. Review these essential ideas that will be pervasive in your work and raise your expertise in the field.

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What to Do After Deploying Your Model to Production?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Congratulations, you have deployed a model to production; it is an achievement for you and your team! In a normal software engineering development cycle, you would now sit back and relax; however, in the machine learning development cycle, deployment to production is just about […].

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Pros and cons of AI: Is Artificial Intelligence suitable for you?

Dataconomy

We searched the risks and benefits of artificial intelligence and tried to decide is it evil or not? Humans have long desired to construct machines that can make decisions. It was thought of as a possibility that seemed too good to be true for a long time, and it was.

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Changing Who We Spend Time with as We Get Older

FlowingData

In high school, we spend most of our days with friends and immediate family. Then we get older and get jobs, get married, and grow our own families to spend more time with co-workers, spouses, and kids. Here’s how things change, based on a decade of data from the American Time Use Survey, from age 15 to 80. Read More.

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Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

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.

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How to Determine the Best Fitting Data Distribution Using Python

KDnuggets

Approaches to data sampling, modeling, and analysis can vary based on the distribution of your data, and so determining the best fit theoretical distribution can be an essential step in your data exploration process.

Python 400
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Track Your Trip Through an OBD system Using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Most drivers nowadays are quite familiar with all the indicators on their car dashboard. In more detail, each indicator is a part of an information signal that constantly works to monitor the car’s health status, which can be diagnosed through an OBD […]. The post Track Your Trip Through an OBD system Using Python appeared first on Analytics Vidhya.

Python 382

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Moving from Red AI to Green AI, Part 1: How to Save the Environment and Reduce Your Hardware Costs

DataRobot Blog

Machine learning, and especially deep learning, has become increasingly more accurate in the past few years. This has improved our lives in ways we couldn’t imagine just a few years ago, but we’re far from the end of this AI revolution. Cars are driving themselves, x-ray photos are being analyzed automatically , and in this pandemic age, machine learning is being used to predict outbreaks of the disease , help with diagnosis, and make other critical healthcare decisions.

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Machine Learning Books You Need To Read In 2022

KDnuggets

I have a list of Machine Learning books you need to read in 2022; beginner, intermediate, expert, and for everybody.

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Determining the Market Price of Old Vehicles Using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Selling old stuff had always been a hassle in earlier times. No matter how good an item might have been, finding a buyer and getting the appropriate Market price was always a challenge. One was only able to sell items within a […]. The post Determining the Market Price of Old Vehicles Using Python appeared first on Analytics Vidhya.

Python 343
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Break down management or governance difficulties by data integration

Dataconomy

Combining data from various sources into a single, coherent picture is known as data integration. The ingestion procedure starts the integration process, including cleaning, ETL mapping, and transformation. Analytics tools can’t function without data integration since it allows them to generate valuable business intelligence. There is no one-size-fits-all solution when.

ETL 186
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Agent Tooling: Connecting AI to Your Tools, Systems & Data

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.

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7 Data Lineage Tool Tips For Preventing Human Error in Data Processing

Smart Data Collective

Errors in data entry might have serious effects if they are not discovered quickly. Human mistake is the most common cause of data entry errors. Since typical data entry errors may be minimized with the right steps, there are numerous data lineage tool strategies that a corporation can follow. The steps organizations can take to reduce mistakes in their firm for a smooth process of business activities will be discussed in this blog.

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Deploy a Machine Learning Web App with Heroku

KDnuggets

In this article, you will learn to deploy a fully functional ML web application in under 3 minutes.

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Predicting SONAR Rocks Against Mines with ML

Analytics Vidhya

This article was published as a part of the Machine Learning. Introduction This article is about predicting SONAR rocks against Mines with the help of Machine Learning. SONAR is an abbreviated form of Sound Navigation and Ranging. It uses sound waves to detect objects underwater. Machine learning-based tactics, and deep learning-based approaches have applications in […].

ML 328
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Explore the latest business trends and join the data-driven revolution

Dataconomy

It is important to learn the best business intelligence trends for 2022 because data went viral and became enormous. And just like that, we all gained access to the cloud. Spreadsheets have given way to actionable and informative data visualizations and interactive business dashboards. The democratization of self-service analytics has.

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How to Modernize Manufacturing Without Losing Control

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

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Tax services want your data

FlowingData

Taxes are due today in the U.S. (yay). Geoffrey A. Fowler for The Washington Post on the part when tax services like TurboTax and H&R Block ask for your data : What he discovered is a little-discussed evolution of the tax-prep software industry from mere processors of returns to profiteers of personal data. It’s the Facebook-ization of personal finance.

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Top YouTube Channels for Learning Data Science

KDnuggets

YouTube has become an important element in people's self-development and increase of knowledge. Check out this list of YouTube channels that offer Data Science learning.

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The DataHour: Artificial Intelligence in Retail

Analytics Vidhya

Dear Readers, We are back with another episode of our flagship learning series on data analytics, “The DataHour”. In this edition, Dr. Shantha Mohan, Mentor and Project Guide at Carnegie Mellon University’s Integrated Innovation Institute, will guide you through “Artificial Intelligence in Retail” applications. Machine learning plays a vital role in Retail Management, primarily due […].

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Your choice of XaaS provider can make or break your business

Dataconomy

Anything as a Service (XaaS) is a term that refers to a broad category of cloud computing and remote access services. Anything as a service is an all-encompassing phrase that refers to providing anything as a service. Businesses can pay a monthly subscription to a managed service provider to ensure.

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Automation, Evolved: Your New Playbook for Smarter Knowledge Work

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.

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5 Great Tips for Using Data Analytics for Website UX

Smart Data Collective

We have pointed out in the past that big data offers a number of benefits for online commerce. One of the most important benefits of data analytics pertains to optimizing websites for a good user experience. User experience optimization (UX) is becoming more important than ever. One study found that the ROI of UX strategies is 9,900%. As more companies realize the importance of offering a stellar web experience, they will invest in big data as part of their UX strategies.

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How Artificial Intelligence Can Transform Data Integration

KDnuggets

Let's take a look at what goes into creating a foundation for enterprise-wide data intelligence and how AI and ML can permanently transform data integration.

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What is MySQL Partitions and its Types?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In today’s data-driven world, organisations work with massive datasets and leverage some aspects of this data for their day-to-day operations. Data professionals in such companies prefer to have small partitions of data as it allows them to analyse and manipulate information without any hassle. […].

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When will DaaS get its big break?

Dataconomy

Data as a service (DaaS) is a data management approach that uses the cloud to offer storage, integration, processing, and analytics capabilities through a network connection. The DaaS architecture is based on a cloud-based system that supports Web services and service-oriented architecture (SOA).

Analytics 168
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The 2nd Generation of Innovation Management: A Survival Guide

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?

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Wildfires and floods, a geographic before and after

FlowingData

In 2021, a large portion of North America was stuck in a heat dome with record temperatures and wildfires. Gordon Logie for Sparkgeo mapped the before-and-after of major wildfires during the year in British Columbia, with a combination of satellite imagery, photos, and scrolling. Logie then shows major floods, which are not necessarily caused by the fires, but are highly correlated.

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Building a Scalable ETL with SQL + Python

KDnuggets

This post will look at building a modular ETL pipeline that transforms data with SQL and visualizes it with Python and R.

ETL 350
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An Overview of HDFS: NameNodes and DataNodes

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Modern applications and products deal with large amounts of data. The quantity of data being processed and utilised in modern times is enormous. So, the question arises? How to manage large files and data. Data size soon outgrows a machine’s storage limit […].

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Good news for data scrapers! US appeals court rules out that it is legal for public data

Dataconomy

Public data scraping is not a problem according to the US Court of Appeals for the Ninth Circuit. The court recently ruled that data scraping from a public website does not constitute computer fraud under the Computer Fraud and Abuse Act (CFAA). In 2017, HiQ filed a lawsuit against LinkedIn’s.

AI 166
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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

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Calculating win probabilities

FlowingData

Zack Capozzi, for USA Lacrosse Magazine, explains how he calculates win probabilities pre-game and during games. On interpretation, which could easily apply to other sports and all forecasts: But interpretation here matters quite a bit. And this is frustrating for some people, but that 61 percent should be interpreted as: “if these teams played 100 times, we would expect Marquette to win 61 of those games.

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A Brief Introduction to Papers With Code

KDnuggets

One-stop shop to learn about state-of-the-art research papers with access to open-source resources including machine learning models, datasets, methods, evaluation tables, and code.

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Getting Started with PySpark Using Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be getting our hands dirty with PySpark using Python and understand how to get started with data preprocessing using PySpark. This particular article’s whole attention is to get to know how PySpark can help in the data cleaning process […].

Python 305
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Green computing is the key to sustainable future

Dataconomy

Green computing is a method for making efficient and sustainable use of computers. It includes producing, designing, discarding, and responsibly utilizing computers and related equipment with minimal to no adverse side effects on the environment. Going green is a growing trend gaining popularity as the preferred approach to doing things.

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Apache Airflow® Best Practices: DAG Writing

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!