Sat.Feb 26, 2022 - Fri.Mar 04, 2022

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How to Stay on Top of What’s Going on in the AI World

KDnuggets

How do you keep up with all the news and trends, and navigate through the endless stream of AI information? Check out this author's list of favorite AI papers sources that help you float effortlessly in the info ocean.

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Audio Denoiser: A Speech Enhancement Deep Learning Model

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction As most of us are doing our jobs or attending school/college virtually, we often have to attend online meetings and we can’t expect each of our places to always be quiet. Some of us may live in a noisy environment where we can […]. The post Audio Denoiser: A Speech Enhancement Deep Learning Model appeared first on Analytics Vidhya.

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Low-Code Platforms Don’t Work Well with AI, But Here’s How We Can Fix That

Dataconomy

Low-code is the latest hype and everyone seems eager to jump on the bandwagon after the promising numbers presented by Gartner and Forrester. Low-code is presented as this end-all, be-all in the development world, bringing along these clickbait titles such as “The era of coding is ending”. This always makes me chuckle a.

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NASA’s New Shortcut to Fusion Power

Hacker News

Physicists first suspected more than a century ago that the fusing of hydrogen into helium powers the sun. It took researchers many years to unravel the secrets by which lighter elements are smashed together into heavier ones inside stars, releasing energy in the process. And scientists and engineers have continued to study the sun’s fusion process in hopes of one day using nuclear fusion to generate heat or electricity.

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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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3 Reasons Why You Should Use Linear Regression Models Instead of Neural Networks

KDnuggets

While there may always seem to be something new, cool, and shiny in the field of AI/ML, classic statistical methods that leverage machine learning techniques remain powerful and practical for solving many real-world business problems.

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A Basic Introduction to Tensorflow in Deep Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The Tensorflow framework is an open end-to-end machine learning platform. It’s a symbolic math toolkit that integrates data flow and differentiable programming to handle various tasks related to deep neural network training and inference. It enables programmers to design machine learning applications utilising […].

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Serverless Kubernetes Has Become Invaluable to Data Scientists

Smart Data Collective

Data science is a growing profession. While it involves more opportunities than ever, it also has a lot more complications. Standards and expectations are rapidly changing, especially in regards to the types of technology used to create data science projects. Most data scientists are using some form of DevOps interface these days. One of the most popular is Kubernetes.

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What is Adversarial Machine Learning?

KDnuggets

In the Cybersecurity sector Adversarial machine learning attempts to deceive and trick models by creating unique deceptive inputs, to confuse the model resulting in a malfunction in the model. .

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A Basic Introduction to Activation Function in Deep Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The activation function is defined as follows: The activation function calculates a weighted total and then adds bias to it to decide whether a neuron should be activated or not. The Activation Function’s goal is to introduce non-linearity into a neuron’s output.

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What is data governance?

Dataconomy

Data governance is becoming increasingly essential as businesses confront new data privacy regulations and rely more on data analytics to optimize operations and make business decisions. Data governance is the process of collecting, managing, and utilizing data to provide improved business decision-making. It encompasses everything a company and its teams.

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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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Data Analytics and Social Media: Twin Pillars in the Evolution of Business

Smart Data Collective

META: We’re breaking down the ways social media has changed businesses and how you can use these changes to get ahead. Digital technology is unquestionably changing the future of business. Two of the biggest advances in technology that are influencing the direction of business are social media and data analytics. These may seem like unrelated technologies to the average person, but they are actually closely intertwined.

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Hybrid AI Will Go Mainstream in 2022

KDnuggets

Analysts predict an AI boom, driven by possibilities and record funding. While challenges remain, a hybrid approach combining the best of the realm may finally send it sailing into the mainstream.

AI 396
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Let’s Find Out How to Make Engaging Videos?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be predicting how engaging a video can be at the user level. We have been provided with a dataset that contains that user’s earlier videos engagement score along with their personal information. We will build multiple regression models […].

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How to Insure Your Money When You’re Banking Over $250K

Hacker News

The investing information provided on this page is for educational purposes only. NerdWallet does not offer advisory or brokerage services, nor does it recommend or advise investors to buy or sell particular stocks, securities or other investments. The Federal Deposit Insurance Corp. insures up to $250,000 per depositor, per institution and per ownership category at member.

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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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Best AI Twitter Automation Tools Marketers Should Use in 2022

Smart Data Collective

AI technology is changing many aspects of modern business. More companies are using AI technology to automate their social media marketing strategies. We previously mentioned the benefits of using data analytics to make the most of social media marketing. However, AI is arguably even more important. Social media is a highly profitable way to market.

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5 Applications of Computer Vision

KDnuggets

CV has the potential to transform industries and how they operate. Here are some of the most notable applications worth exploring.

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A Basic Introduction to Object Detection

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Computer vision has advanced considerably but is still challenged in matching the precision of human perception. This article belongs to computer vision. Here we will learn from scratch. It can be challenging for beginners to distinguish between different related computer vision tasks.

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Visual forensics to spot fake videos and photos

FlowingData

It’s easy for anyone to grab a picture or video and claim that it shows something that it doesn’t. This is problematic during times of conflict, when accuracy is especially important. For The Washington Post, Elahe Izadi describes how journalists separate real from fake : The process begins with geolocation: pinpointing exactly where an image was recorded on a map, which Willis calls the “the bread and butter” of verification. “We’ll never publish a clip in ou

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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 Reasons No-Code Platforms Are the Future of Data Science and AI

Smart Data Collective

Data science is an evolving profession. Artificial intelligence is also changing at a remarkable pace. A number of new platforms and tools are being regularly rolled out to help data scientists do their jobs more effectively and easily. Savvy data scientists and AI developers are keeping up with trends and learning the new technology that can help them work more efficiently.

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Top 3 Free Resources to Learn Linear Algebra for Machine Learning

KDnuggets

This article will solely focus on learning linear algebra, as it forms the backbone of machine learning model implementation.

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Basics of CNN in Deep Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. What is Convolutional Neural Network? Convolutional Neural Networks also known as CNNs or ConvNets, are a type of feed-forward artificial neural network whose connectivity structure is inspired by the organization of the animal visual cortex. Small clusters of cells in the visual cortex are […].

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Empty Ukrainian airspace

FlowingData

As you would imagine, Ukrainian airspace looks empty right now. Reuters mapped flights before the Russian invasion, the day of, and after the European Union airspace ban. The above shows private, commercial, and cargo flights. In separate maps, Reuters also reported unidentified flights, along with detours, cancelations, and the general disruption of international airspace.

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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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Choosing Between Outsourced Vs In-House Data Management Strategies

Smart Data Collective

There is no question that data has become a valuable asset to almost every organization. Companies use big data to optimize their marketing strategies, maintain better relationships with their customers, manage their financial strategies and improve human resources capabilities. Unfortunately, data isn’t always easy to manage. You need to rely on the services of a well trained specialist that understands the nuances of big data technology.

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Top Data Science Tools for 2022

KDnuggets

Check out this curated collection for new and popular tools to add to your data stack this year.

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The Carbon Footprint of AI and Deep Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. There are immense computational costs of Deep Learning and AI. Artificial intelligence algorithms, which power some of technology’s most cutting-edge applications, such as producing logical stretches of text or creating visuals from descriptions, may need massive amounts of computational power to train.

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Write plain text files

Hacker News

I write almost everything important in my life: thoughts, plans, notes, diaries, correspondence, code, articles, and entire books. They are my extended memory — my noted self — my organized thoughts. I refer to them often. I search them, update them, and learn from them. I convert them into HTML to make websites, or LaTeX to make books. My written words are my most precious asset.

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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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Recontextualized media

FlowingData

The Media Manipulation Casebook summarizes how bad-intentioned people take media from past events, movies, and video games and shove the bits into a different context to fill a different purpose : Posts with recontextualized media often take advantage of short, less than one-minute video clips that lack much context about where the video originates.

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Top Posts Feb 21-27: The Complete Collection of Data Science Cheat Sheets – Part 2

KDnuggets

Also: Decision Tree Algorithm, Explained; The Complete Collection of Data Science Cheat Sheets – Part 1; Essential Machine Learning Algorithms: A Beginner’s Guide; An Easy Guide to Choose the Right Machine Learning Algorithm.

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Text Data Augmentation in Natural Language Processing with Texattack

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Data Augmentation (DA) Technique is a process that enables us to artificially increase training data size by generating different versions of real datasets without actually collecting the data. The data needs to be changed to preserve the class categories for better performance in […].

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Data-Driven Strategies to Help Prevent ACH Fraud

Smart Data Collective

There is no question that advances in data technology have led to some major changes in the financial industry. A growing number of banks, insurance companies, investment management firms and other financial institutions are finding creative ways to leverage big data technology. The market size for financial analytics services is currently worth over $25 billion.

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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!