IBM’s Post

I played around with some dataset from kaggle.com on video games sales performance to get some insights. Below is my dashboard from my findings Tools used: Excel Pivot Table and Charts.....#SalesAnalysis #GamingIndustry #DataVisualization #BusinessIntelligence #MarketInsights #DataDrivenDecisionMaking

One of the best parts of attending an NFL game? Tailgating 🏈 👀 Databricks teamed up with AccuWeather to predict the most “tailgate-able” games (and when you should start laying up). Check out the insights discovered using AutoML, Databricks Assistant, Delta Sharing and more!

One of the best parts of attending an NFL game? Tailgating 🏈 👀 Databricks teamed up with AccuWeather to predict the most “tailgate-able” games (and when you should start laying up). Check out the insights discovered using AutoML, Databricks Assistant, Delta Sharing and more!

🥁 Latest white-paper now revealed! 🔗 https://lnkd.in/dsZZ2rtk Huddle's SVP of Trading Tom Daniel has provided an in-depth exploration of "The Future of Automation in Trading in Sports Betting." He explores how sophisticated algorithms, machine learning, and data analytics are redefining the landscape, particularly with the advent of complex betting products like Same Game Parlays. 👇 #Huddle #sportsbetting #igaming

🚀 Excited to share that I’ve just uploaded a new dataset on Kaggle for the data science community! 🎉 This dataset is part of my ongoing project focused on analyzing League of Legends games, specifically looking at jungler performance during the first 4 minutes of the game. With data from ~3,000 matches, this dataset includes variables like the number of camps cleared, whether First Blood was achieved, and the overall game outcome based on these early-game factors. I believe this dataset can be a valuable resource for anyone interested in esports analytics, machine learning models, or simply exploring new data. I can’t wait to see what insights the community will uncover! Feel free to check it out, use it in your own projects, and share your findings. 💻📊 #DataScience #Kaggle #LeagueOfLegends #EsportsAnalytics #MachineLearning #SQL

🚀 New Medium Post: Steam Games Analytics! 🎮 I've just published an in-depth analysis of Steam game data from 2013 to 2023, covering seasonal trends, pricing strategies, and popular games. The article also explores the machine learning techniques I used and how I visualized the data with Power BI. Key Insights: Seasonal Trends: October sees the highest number of game releases. Pricing: Most games fall in the $0 - $30 price range. Genres: Indie games are the most released genre. Read the full article on Medium and share your thoughts in the comments! #DataAnalytics #MachineLearning #PowerBI #SteamGames #MediumPost

🌐𝐓𝐫𝐚𝐜𝐤-𝐄𝐯𝐞𝐫𝐲𝐭𝐡𝐢𝐧𝐠: 𝐅𝐫𝐨𝐦 𝐬𝐩𝐨𝐫𝐭𝐬 𝐭𝐨 𝐬𝐞𝐜𝐮𝐫𝐢𝐭𝐲, 𝐦𝐚𝐧𝐮𝐟𝐚𝐜𝐭𝐮𝐫𝐢𝐧𝐠 𝐭𝐨 𝐥𝐢𝐯𝐞 𝐠𝐚𝐦𝐢𝐧𝐠, 𝐮𝐧𝐥𝐢𝐦𝐢𝐭𝐞𝐝 𝐮𝐬𝐞 𝐜𝐚𝐬𝐞𝐬 For soccer, for example, by pre-training on the FIFA database (leagues, teams, and players), you could develop an AI that mirrors real-world soccer for any game. Not to mention the NFL spent millions on adding a colored line to the virtual TV field. What this could do for them... FAQ: Why ByteTrack? ByteTrack because it is super easy to deploy. Numpy and Scipy are all you need. How were you able to distinguish between players and referee track IDs? Different classes. Take a look at dataset: https://lnkd.in/gdAxDERT What is the smallest object/pixel it can detect and track? It all comes down to image/video resolution, fps, model size, and all other factors. If your video is 1920x1080 and the model input resolution is 640x640, that means that the object that was 3x2 on the input vid will become 1px which is probably not enough. Have this been tested with live games? Not yet. But it should be possible. It can process 50/60 fps. 🔗 GitHub: https://lnkd.in/gxJsp2Gp Latest Release (supervision-0.13.0): Added ByteTrack support. Easily plug in any object detector and use it for tracking #AI #GENAI #LLM #computervision #tracking #security #games #gaming #sport #sportsbroadcasting

Check out our latest white paper on how we at Huddle approach the automation of trading in sports betting. We delve into the challenges related to data, engineering, and modeling. An insightful read for anyone interested in the future of sports betting technology! 📈⚙️ #SportsBetting #Automation #HuddleTech"

Hello there, I would like to introduce my first video about #QlikSense on LinkedIn. I’m pretty glad about what I created from scratch. If you know the PlayStation game hashtag#Bloodborne, you’ll love this dashboard. Before the video, I have some special thanks to Patric Nordström, Luis Felipe Tensini, and Michael Tarallo for inspiring me to create this dashboard.  Luis Felipe Tensini’s Street Fighter 6 video pushed me to create this dashboard, but I used a different method 😊 I hope you guys can provide some feedback on it. From now on, I will produce and share more content on #QlikSense. Enjoy! #QlikSense #BI #BusinessIntelligence #Qlik #automation