Your Slack? Insightful Words every day by your highly intelligent people.
Your Company’s Blog? Not so much.
Every day, amazing tech companies have tons of high-quality conversations. Conversations that could shape the future of the Internet. Conversations that prove the intelligence of your people and the values of your company. And yet, most tech companies are only publishing a blog post a week or less. Lots of remarkable content is lost to the ether forever, never marketing what you’re about. Slogging is about elevating the best conversations you’re already having.
This guide will introduce the top 10 Reddit datasets for machine learning.
Known as “the front page of the internet,” Reddit is a forum/social media site where users can post virtually anything and everything. Unlike Facebook, Twitter, or Instagram, the majority of Reddit users remain anonymous. Reddit moderators strictly censor and curate the subforums, known as subreddits. However, anonymity allows people to say what they want in whatever manner they wish. Therefore, Reddit comments and posts are perfect for testing and training numerous natural language processing (NLP) models. Some of these models include content moderation models and sentiment classifiers.
Extensive features and a multitude of uses has led to gaming laptops being preferred over consoles in today’s gaming world. But as the demand for gaming laptops rose, so did their prices.
To help solve this issue, we scoured the web for affordable laptops with decent specs and could run some of the best games on the market.
Not all of us can justify or afford that extra price tag for enhanced gaming capabilities, but none of us want to compromise on the best gaming experience either. …
Data is a central piece of the climate change debate. With the climate change datasets on this list, many data scientists have created visualizations and models to measure and track the change in surface temperatures, sea ice levels, and more.
We hope this collection provides you with a jumping off point to use your skills to contribute to one of the biggest and most important challenges of our time.
1. Berkeley Earth Surface Temperature Data — From the Berkeley Earth Data page, this dataset in made up or temperature recordings from the Earth’s surface.
The Promised Neverland is a must-watch anime that every anime fan needs to check out. Below, I have compiled a list of the 5 best places where you can watch The Promised Neverland online. I will also tell you guys where you can purchase a Blu-ray set to enjoy this anime in the best way possible.
About The Anime
The Promised Neverland is a shounen anime that gives us a beautiful blend of horror and mystery. With stunning animation and a well-built plot, The Promised Neverland has managed to win the hearts of many fans all over the world. This…
Finding, creating, and annotating training data is one of the most intricate and painstaking tasks in machine learning (ML) model development. Many crowdsourced data annotation solutions often employ inter-annotator agreement checks to make sure their labeling team understands the labeling tasks well and is performing up to the client’s standards. However, some studies have shown that self-agreement checks are as important or even more important than inter-annotator agreement when evaluating your annotation team for quality.
In this article, we will explain what self-agreement is and introduce an ML study where self-agreement checks were crucial to the quality of the team…
Looking for information on the different image annotation types? In the world of AI and machine learning, data is king. Without data, there can be no data science. For AI developers and researchers to achieve the ambitious goals of their projects, they need access to enormous amounts of high-quality data. In regards to image data, one major field of machine learning that requires large amounts of annotated images is computer vision.
Table of Contents
Product categorization/product classification is the organization of products into their respective departments or categories. As well, a large part of the process is the design of the product taxonomy as a whole.
Product categorization was initially a text classification task that analyzed the product’s title to choose the appropriate category. However, numerous methods have been developed which take into account the product title, description, images, and other available metadata. The following papers on product categorization represent essential reading in the field and offer novel approaches to product classification tasks.
In this paper, researchers from the National University of Singapore and…
Haptic suits represent the next step towards true immersion in virtual reality gaming. Virtual reality works by establishing a space that can stimulate our senses enough to create the illusion of being in a different world. The current VR headsets on the market create this illusion by stimulating our sense of sight (through 6DoF visuals) and our sense of hearing (through binaural 3D audio), along with slight vibration feedback from the controllers.
However, with the emergence of haptic feedback accessories, VR games now have the ability to activate a third human sense, our sense of touch.
Put simply, haptic feedback…
Many data scientists claim that around 80% of their time is spent on data preprocessing, and for good reason; collecting, annotating, and formatting data are crucial tasks in machine learning. This article will help you understand the importance of these tasks, as well as learn methods and tips from other researchers.
Below, we will highlight academic papers from reputable universities and research teams on various training data topics. The topics include the importance of high-quality human annotators, how to create large datasets in a relatively short time, ways to securely handle training data that may include private information, and more.