Sat.Feb 12, 2022 - Fri.Feb 18, 2022

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How You Can Use Machine Learning to Automatically Label Data

KDnuggets

AI and machine learning can provide us with these tools. This guide will explore how we can use machine learning to label data.

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K-Fold Cross Validation Technique and its Essentials

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Image designed by the author Introduction Guys! Before getting started, just […]. The post K-Fold Cross Validation Technique and its Essentials appeared first on Analytics Vidhya.

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How AI and Data Analytics Will Impact The Era of COVID-19

Dataconomy

Artificial intelligence (AI) and data analytics are rapidly growing trends in the tech world. With increasing potential for innovation, it is paramount that we stay up to date with all the latest developments in this field. According to MarketsandMarkets, the worldwide artificial intelligence (AI) market will increase from USD 58.3 billion.

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Map of Russian gas exports

FlowingData

Speaking of Russian gas, Josh Holder, Karl Russell and Stanley Reed for The New York Times mapped gas exports from Russia to E.U. countries. NYT used Sankey flows where thicker lines mean more gas, which are paired with a choropleth map that represents share each country’s natural gas imports that are from Russia. Tags: gas , New York Times , Russia.

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What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

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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An Easy Guide to Choose the Right Machine Learning Algorithm

KDnuggets

There's no free lunch in machine learning. So, determining which algorithm to use depends on many factors from the type of problem at hand to the type of output you are looking for. This guide offers several considerations to review when exploring the right ML approach for your dataset.

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A Quick Guide to Bivariate Analysis in Python

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In all kinds of data science projects across domains, EDA (exploratory data analytics) is the first go-to analysis, without which the analysis is incomplete or almost impossible to do. One of the key objectives in many multi-variate analyses is to understand relationships between […].

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Data Speaks for Itself: Data Littering

The Data Administration Newsletter

No, this is not a mistyping of data literacy. Yes, like everyone, I am aware of and fully on-board with the growing movement to improve data literacy in the enterprise. What I want to talk about is Data Littering, which is something else entirely. Data Littering is the deliberate act of creating and distributing data […].

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Free MIT Courses on Calculus: The Key to Understanding Deep Learning

KDnuggets

Calculus is the key to fully understanding how neural networks function. Go beyond a surface understanding of this mathematics discipline with these free course materials from MIT.

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Linear Regression with Python Implementation

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. [link] Introduction If you are reading this article, I am assuming that you are already familiar with Machine Learning, and have a basic idea about it. If not no worries, we will go through step by step to understand Machine Learning and Linear […]. The post Linear Regression with Python Implementation appeared first on Analytics Vidhya.

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Mlytics launches AI-powered digital experience delivery platform to fix site outage and security issues

Dataconomy

Towards the end of 2021, the Facebook (now Meta) family of apps cost the company nearly $100 million in revenue thanks to a six-hour-long outage. In addition to revenue losses, it drove millions of users to rival platforms, such as Twitter, Telegram, and Signal. The problem of website downtime is.

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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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Trendiest Baby Name Every Year Since 1930, in the U.S.

FlowingData

Baby names gain sudden popularity for various reasons. Maybe a celebrity with a unique name gains traction, or a character in a movie strikes a chord with audiences. Maybe an athlete reaches the peak of fame, and expecting parents have similar dreams. I wondered how these trends changed over time. So using data from the Social Security Administration, I found the most trendy baby name every year since 1930.

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How to Become a Successful Data Science Freelancer in 2022

KDnuggets

In this article, I will walk you through how you can use your data science skills to land freelance gigs.

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Introductory Note on Imputation Techniques

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Machine learning models are garbage in garbage-out boxes, and it is essential to address any missing data before feeding it to your model. Missing data in your dataset could be due to multiple reasons like 1) The data was not available. 2) The […]. The post Introductory Note on Imputation Techniques appeared first on Analytics Vidhya.

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Machine Learning Technology is Streamlining the Writing Process

Smart Data Collective

Many people appreciate the benefits of artificial intelligence. It has already transformed many sectors, including cybersecurity and manufacturing. However, few people recognize that AI is also becoming an integral part of the writing process. Many college students and marketers are using AI to generate content. A recent study found that the market for AI in the marketing sector is worth over $107 billion.

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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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Russian gas supplies in Europe

FlowingData

For Reuters, Prasanta Kumar Dutta, Samuel Granados and Michael Ovaska detail Europe’s dependence on Russia’s gas supplies and the crisis in Ukraine : With its abundant gas reserves, the proximity of its oilfields and an extensive existing pipeline network, Russia dominates the EU’s gas market at about 38% of total supply. Norway, the bloc’s next largest source of natural gas, accounts for half that, just 19% of the market.

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Random Forest® vs Decision Tree: Key Differences

KDnuggets

Check out this reasoned comparison of 2 critical machine learning algorithms to help you better make an informed decision.

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Text Cleaning Methods in NLP | Part-2

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In the first part of the series, we saw some most common techniques which we daily use while cleaning the data i.e. text cleaning in NLP. I would recommend if you haven’t read it first read it, which will help you in […]. The post Text Cleaning Methods in NLP | Part-2 appeared first on Analytics Vidhya.

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Benefits of Using AI-Powered Plagiarism Checkers When Writing Academic Papers

Smart Data Collective

There are many ways that artificial intelligence technology developments are influencing academia. One of the most significant changes that AI has introduced is detecting plagiarism more easily. Artificial intelligence is a game-changer in the fight against plagiarized content. AI is an important way to vet content or academic papers. How AI is Radically Changing the Future of Plagiarism Detection.

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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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? Very Unprofessional – The Process 177

FlowingData

Welcome to issue #177 of The Process, the newsletter for FlowingData members about how the charts get made. I’m Nathan Yau, and this week I’m thinking about communicating data to actual people instead of acting like a soulless robot that spits out numbers. Become a member for access to this — plus tutorials, courses, and guides.

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Octoparse 8.5: Empowering Local Scraping and More

KDnuggets

Octoparse 8.5 is now released with game-changing new features and major improvements.

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Pose Detection Using Computer Vision

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will discuss some of the basic concepts related to Pose Detection. This article will cover a problem of the Computer Vision section of machine learning. In this article, we will gain knowledge of working with Image data and […]. The post Pose Detection Using Computer Vision appeared first on Analytics Vidhya.

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The Right Data Can Help Guide Business Decision Making

Smart Data Collective

Most companies have known for years that big data can be invaluable to their organizations. However, far fewer try to use it effectively. Many don’t have a formal data strategy and even fewer have one that works. According to one study conducted last year, only 13% of companies are effectively delivering on their data strategies. There are a lot of reasons data strategies fail.

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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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Interactive traffic simulator

FlowingData

Traffic always seems so sensitive to the smallest disruptions. Someone pulls over to the side of the road? Traffic jam. Slight incline on the freeway? Traffic jam. One person weaving in and out of lanes? Traffic jam. With this traffic simulator by Martin Treiber , you can test out all the possible scenarios. You can use different types of roads, place speed limits, start construction, increase or decrease the number of lanes, adjust the incline, and even define politeness among drivers.

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Top 5 Free Machine Learning Courses

KDnuggets

Give a boost to your career and learn job-ready machine learning skills by taking the best free online courses.

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Importance of Data Governance and its Principles

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: [link] What is DATA by Definition? Source: [link] Data are details, facts, statistics, or pieces of information, typically numerical. Data are a set of values of qualitative or quantitative variables about one or more persons or objects. While running a huge […]. The post Importance of Data Governance and its Principles appeared first on Analytics Vidhya.

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Blockchain Offers Huge Stability to Bitcoin Autotrading Apps

Smart Data Collective

Blockchain technology has become a very important part of our lives. It is currently being used in virtually every field from finance to copyright enforcement. However, one of the fields most impacted by blockchain is still the one it was originally created for – cryptocurrency trading. Every major cryptocurrency trading platform uses blockchain technology to some degree.

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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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Snowboarding composite photos

FlowingData

If you watched the men’s halfpipe in the Olympics, you were probably impressed by Ayumu Hirano’s tricks. But it can be hard to see what he actually does in real-time, other than flying high, spinning a lot, and landing cleanly. So The New York Times used composite photos to show Hirano’s trajectory. I especially like the zoom-in frame by frame composite showing a Cab Double Cork 1440.

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No Brainer AutoML with AutoXGB

KDnuggets

Learn how to train, optimize, and build API with a few lines of code using AutoXGB.

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Classification without Training Data: Zero-shot Learning Approach

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Computer vision is a field of A.I. that deals with deriving meaningful information from images. Since 2012 after convolutional neural networks(CNN) were introduced, we moved away from handcrafted features to an end-to-end approach using deep neural networks. These are easy to develop […].

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Data Analytics is Fundamental to Next-Gen Marketing for New Businesses

Smart Data Collective

Data analytics has become a very important part of business management. Large corporations all over the world have discovered the wonders of using big data to develop a competitive edge in an increasingly competitive global market. American Express is an example of a company that has used big data to improve its business model. They can now successfully identify 24% of accounts that will close within four months.

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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!