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

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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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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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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.

AI 249
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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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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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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.

AI 399
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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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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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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.

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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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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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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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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.

Analytics 139
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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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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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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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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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Data: The Most Valuable Commodity for Businesses

KDnuggets

Many companies have been capturing customer data in some form or another for decades. Petabytes of data are traversing networks worldwide every day, and all of that data means big money. Here's how companies can best utilize this data to influence positive outcomes.

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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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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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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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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 Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

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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 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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Change in Common Household Types in the U.S.

FlowingData

In the 1970s, the most common household type in the U.S. was a married couple with kids. But over time, as people wait longer to get married and have fewer kids (if any), it’s grown more common to live alone or with non-family. Read More.

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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

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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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Analyzing the Probability of Future Success with Intelligence Node’s Attributes Evolution Model

KDnuggets

The analytics team at Intelligence Node have been working on developing a Limited Memory model (which first started as a Reactive model) aka the 'The Probability of Future Success' model. This model explores a new market driven approach to identifying future trends and probability of success for specific product attributes based on a series of dynamic metrics and attributes.

Analytics 271
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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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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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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.