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Reddit Machine: Why GME Stock Emerged Unscathed From Its

On Monday, GameStop (NYSE: GME) stock nosedived 10% after the firm announced a 3.5 million share shelf registration. But as Reddit's r/WallStreetBets machine sprang to life, share prices started to.. r/Machinists: A Reddit for Machinists of all varieties. From Old School conventional guys, to CNC Programmers, to the up and coming next generation Humans use several languages for communication, and we often need machine translators for speech-to-speech conversions. Prof. Akagi from JAIST explains that conventional (monolingual) VC models face challenges when we apply them to a cross-lingual VC (CLVC) task. For example, changing the speaker's identity led to an undesirable modification of linguistic information. Summary: https. Find more subreddits like r/maschine -- A place for discussion of the various Maschine controllers, Maschine software, MPCs, and anything else with tappy pad triggers. Self Promotion is highly encouraged--good, bad, done or not, it doesn't matter, we can't expand our knowledge and skills without feedback from each other Machine Gun Kelly (MGK) is a multitalented artist from Cleveland, Ohio. His latest album, Tickets to My Downfall sold 126k copies first week and placed #1 on Billboards 200 chart. 11.6k. Members . 182. Online. Created Mar 14, 2012. r/MachineGunKelly Rules. 1. No Trolling. 2. Leak Download. 3. Low Effort Content. Moderators. Message the mods. u/Nate7979. Bloom. u/Threatening. XX. u.

Machinists - reddi

Reddit Data Collection using PRAW. So, let's get down to the brass tacks. Any machine learning task requires you to feed data into it. We will be doing that by writing a script to collect data from r/india.This data would be used in future parts of the problem to build the classifier Best Reddit Datasets for Machine Learning Warning: Some of the datasets below were compiled specifically for the training of content moderation models.Therefore, the data may include explicit content. Reddit Comments Datasets. 1. Cryptocurrency Reddit Comments Dataset - This dataset contains comments from the subreddit r/cryptocurrency. The data consists of comments posted over five months. Define the Problem. As you may have guessed I was tasked with using machine learning to do what you just tried to do above! In other words, creating a classification model that can distinguish which of two subreddits a post belongs to. The assumption for this problem is that a disgruntled, Reddit back-end developer went into every post and replaced the subreddit field with (·̿̿Ĺ̯̿̿.

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Define the Problem. As you may have guessed I was tasked with using machine learning to do what you just tried to do above! In other words, creating a classification model that can distinguish which of two subreddits a post belongs to. The assumption for this problem is that a disgruntled, Reddit back-end developer went into every post and replaced the subreddit field with (·̿̿Ĺ̯̿̿. Web scraping Reddit without using Reddit API, and making a dataset, and using the dataset for a machine learning project. - casperbh96/Web-Scraping-Reddit This machine learning kit, built in partnership with Adafruit, provides you everything needed to build a machine learning model that can be deployed to a device to make live predictions. Specifically, the kit includes a Raspberry Pi and a camera module to capture images that will later be used to both train your model and make live predictions. The kit also includes all the other components. Zum Erstellen von Backups mit Time Machine benötigst du lediglich ein externes Speichergerät. Nachdem du dieses Speichergerät angeschlossen und als Backup-Volume ausgewählt hast, erstellt Time Machine automatisch stündliche Backups für die vergangenen 24 Stunden, tägliche Backups für den vergangenen Monat und wöchentliche Backups für alle vorausgegangenen Monate

Machine Gun Kelly Fans - reddi

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Predicting Reddit Flairs using Machine Learning and

  1. Using Machine Learning to Solve Reddit's Rating-less Problem. Looking at the way in which Reddit's marketplaces work led me to construct an algorithm to help solve the problems posed by the lack of a dedicated rating system. I thought this would be an interesting problem to apply Machine Learning and Python automation to. The goal for this project was to see if I could collect.
  2. reddit_time_machine 0.1.0 pip install reddit_time_machine Copy PIP instructions. Latest version. Released: Mar 14, 2017 A Python package for traveling back to a historical date and extracting reddit channel contents. Navigation. Project description Release history Download files.
  3. The Machine Learning Infrastructure team at Reddit is a high impact team that owns the infrastructure that powers recommendations, content discovery, user and content quantification, while directly impacting other teams such as Growth, Ads, Feeds, and Core Machine Learning teams. How You'll Have Impact: As the 6th largest site on the internet, Reddit generates billions of events and terabytes.
  4. Design Machine Learning solutions for Reddit's unique product challenges. Extract intelligence from data by applying analysis and feature-engineering techniques. Iterate on Machine Learning products based on the feedback from A/B experiments and product managers. Deploy your model to serve millions of users. Participate in the full software development cycle: design, develop, QA, deploy.

The social news site Reddit has occasionally been the topic of controversy due to the presence of communities on the site (known as subreddits) devoted to explicit or controversial material. In 2012, Yishan Wong, the site's then-CEO, stated, We stand for free speech.This means we are not going to ban distasteful subreddits. We will not ban legal content even if we find it odious or if we. The front page of the internet, Reddit brings over 430 million people together each month through their common interests, inviting them to share, vote, comment, and create across thousands of communities. The User Understanding team is a key part of the machine learning strategy at Reddit and serves as the central location for accessing and leveraging inferences and aggregations about users.

Fusion's built-in machine learning will analyze and incorporate user behavior into Reddit search results, optimizing the user's search experience over time without the need for heavy manual. Karma Machine is still in alpha development and is missing many features. Nothing is final and everything from the color to the design is subject to change. Note: Karma Machine is an unofficial reddit app. reddit and the reddit alien logo, trademark and trade dress are registered trademarks owned by reddit Inc I have personally found Reddit an incredibly rewarding platform for a number of reasons - rich content, top machine learning/deep learning experts taking the time to propound their thoughts, a stunning variety of topics, open-source resources, etc. I could go on all day, but suffice to say I highly recommend going through these threads I have shortlisted - they are unique and valuable in. Using machine learning to analyze the text of more than 800,000 Reddit posts, the researchers were able to identify changes in the tone and content of language that people used as the first wave of the Covid-19 pandemic progressed, from January to April of 2020. Their analysis revealed several key changes in conversations about mental health, including an overall increase in discussion about. While not particularly scary Blood Machines is definitely a visual experience with a great soundtrack to match. I feel like they pulled their inspirations from a lot of classic cinema like Aliens. I was interested to see what happened next and wanted more when I got to the end of the series. TLDR: Should have been 1 longer show, neat HR Gieger like visuals with a great soundtrack. 8.5/10 Read.

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Top 10 Reddit Datasets for Machine Learning Lionbridge A

How many slaps does it take to cook a chicken? I built a chicken slapper robot to find out. Man has pondered this question for ages, or at least for the past.. April 21, 2021 - A machine learning algorithm could help public health officials identify COVID-19-related conspiracy theories on social media, potentially reducing the spread of misinformation online, a study published in JMIR revealed. A lot of machine-learning studies related to misinformation on social media focus on identifying different kinds of conspiracy theories, said Courtney. Zur Unterstützung der Koexistenz von 32-Bit- und 64-Bit-COM-Registrierung und Programmzuständen stellt WOW64 32-Bit-Programme mit einer alternativen Ansicht der Registrierung vor. 32-Bit-Programme sehen eine 32-Bit-Struktur ( ), die vollständig von der HKEY_LOCAL_MACHINE\Software HKEY_LOCAL_MACHINE\Software\WOW6432Node echten 64-Bit-Struktur getrennt HKEY_LOCAL_MACHINE\Software ist Reddit terms confounding machines Trawling to find next stock trends proving a confusing climb for algorithms by JUSTINA LEE BLOOMBERG NEWS (WPNS) | February 28, 2021 at 2:20 a.m

Classifying Reddit Posts With Natural Language Processing

Adapt the ads industry's machine learning best practices to Reddit's unique platform and user base. Lead analysis and implementation of features and signals. Write production code to ship your model to millions of users. Participate in the full software development cycle: design, develop, QA, deploy, experiment, and analyze. Collaborate across disciplines to find technical solutions to. Top 5 Machine Learning GitHub Repositories and Reddit Discussions from March 2019. Analytics Vidhya, April 4, 2019 . Article Video Book. Introduction. GitHub repositories and Reddit discussions - both platforms have played a key role in my machine learning journey. They have helped me develop my knowledge and understanding of machine learning techniques and business acumen. Both GitHub and. Reddit is home to thousands of communities, endless conversation, and authentic human connection. Whether you're into breaking news, sports, TV fan theories,..

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