titsay
One Nice Bug Per Day
blake kathryn
No title available
he wasn't even looking at me and he found me
Acquired Stardust
Kaledo Art
let's talk about Bridgerton tea, my ask is open
No title available
Keni
occasionally subtle
I'd rather be in outer space đ¸
$LAYYYTER
noise dept.
Origami Around
Sweet Seals For You, Always
PUT YOUR BEARD IN MY MOUTH
Aqua Utopiaď˝ćľˇăŽĺşă§č¨ćśăç´Ąă
Kiana Khansmith
Jules of Nature
seen from Romania
seen from Nepal
seen from United Kingdom
seen from Germany
seen from United States
seen from United Kingdom
seen from Malaysia
seen from United States
seen from Argentina
seen from United States
seen from United States
seen from South Korea
seen from United States
seen from United States
seen from United States
seen from Sweden
seen from Indonesia
seen from Romania
seen from China
seen from United Kingdom
@gigadom
IPL 2026: When the dust settles ...
Over the last two and a half months, at IPL 2026 âpitchâed battles happened daily between rival IPL teams, all across the grounds of India. With IPL 2026 done and dusted, and the dust settling down one name has been indelibly etched in the minds of cricketing fans all over the world, and that is Vaibhav Suryavanshi. Suryavanshi is the new kid on the block, the teenage sensation who has capturedâŚ
View On WordPress
IPL AI Oracle 2026 is now live!!
IPL 2026 is now he is now underway! To keep the action alive through analytics have now also made IPL AI Oracle 2026 to be live with near real-time analytics. This is done with a fully automated pipeline that checks Cricsheet for the latest data updates daily at scheduled times for matches data updates. The pipeline then downloads them, processes them with a yorkr package so that analysis can beâŚ
View On WordPress
Optimising T20 Match Win Probability with EPOCH
âWould you tell me, please, which way I ought to go from here?ââThat depends a good deal on where you want to get to,â said the Cat.âI donât much care whereââ said Alice.âThen it doesnât matter which way you go,â said the Cat.ââso long as I get somewhere,â Alice added as an explanation.âOh, youâre sure to do that,â said the Cat, âif you only walk long enough.â Alice in Wonderland, Lewis Caroll,âŚ
View On WordPress
Fine-tuning IPL AI Oracle to speak cricket fluently
Tomorrow and tomorrow and tomorrowCreeps in this petty pace from day to dayTo the last syllable of recorded time,And all our yesterdays have lighted foolsThe way to dusty death. Out, out, brief candle! Lifeâs but a walking shadow, a poor playerThat struts and frets his hour upon the stageAnd then is heard no more. It is a taleTold by an idiot, full of sound and fury,Signifying nothing. Macbeth,âŚ
View On WordPress
When the Wave Remembered...
Foreword â The Double Slit Mystery A puzzling behaviour of subatomic particles, like photons or electrons, is that when they are sent through two narrow slits, they create an interference pattern on the detection screen, just as waves do. This suggests that each particle behaves like a wave of probability, passing through both slits simultaneously. However, the moment you try to observe orâŚ
View On WordPress
GooglyPlusPlus now with Win Probability Analysis for all T20 matches
GooglyPlusPlus now with Win Probability Analysis for all T20Â matches
In my 2 earlier posts Computing Win-Probability of T20 matches and Boosting Win Probability accuracy with player embeddings I had discussed the approaches to computing ball-by-ball Win Probability of a T20 match. My best ML models were. glmnet â Logistic Regression(LR) with lasso regularization and penalty â Accuracy â 0.73 Random Forest (RF) â Accuracy â 0.92 Incidentally, both these modelsâŚ
View On WordPress
Boosting Win Probability accuracy with player embeddings
Boosting Win Probability accuracy with player embeddings
In my previous post Computing Win Probability of T20 matches I had discussed various approaches on computing Win Probability of T20 matches. I had created ML models with glmnet and random forest using TidyModels. This was what I had achieved glmnet : accuracy â 0.67 and sensitivity/specificity â 0.68/0.65 random forest : accuracy â 0.737 and roc_auc- 0.834 DL model with Keras in Python :âŚ
View On WordPress
Using embeddings, collaborative filtering with Deep Learning to analyse T20 players
Using embeddings, collaborative filtering with Deep Learning to analyse T20Â players
There is a school of thought which considers that total runs scored and strike rate for a batsman, or total wickets taken and economy rate for a bowler, do not tell the whole story. This is true to a fair extent. The runs scored or the wickets taken could have been against weaker teams and hence the runs, strike rate or the wickets and economy rate alone do not capture all the performance detailsâŚ
View On WordPress
Near Real-time Analytics of ICC Men's T20 World Cup with GooglyPlusPlus
Catch all the edge-of-the-seat action of ICC Mens T20 World Cup in near real-time analytics at GooglyPlusPlus
In my last post GooglyPlusPlus gets ready for ICC Menâs T20 World Cup, I had mentioned that GooglyPlusPlus was preparing for the big event the ICC Menâs T20 World cup. Now that the T20 World cup is underway, my Shiny app in R, GooglyPlusPlus ,will be generating near real-time analytics of matches completed the previous day. Besides the app can also do historical analysis of players, teams andâŚ
View On WordPress
GooglyPlusPlus gets ready for ICC Men's T20 World Cup
GooglyPlusPlus gets ready for ICC Menâs T20 World Cup
It is time!! So last weekend, I turned the wheels, moved the levers and listened to the hiss of steam, as I cranked up my Shiny app GooglyPlusPlus. The ICC Menâs T20 World Cup is just around the corner, and it was time to prepare for this event. This latest GooglyPlusPlus is current with the latest Intl. menâs T20 match data, give or take a few. GooglyPlusPlus can analyze batsmen, bowlers,âŚ
View On WordPress
Then, Now(IPL 2022), Beyond : Insights from GooglyPlusPlus
Then, Now(IPL 2022), Beyond : Insights from GooglyPlusPlus
IPL 2022 has just concluded and yet again, it is has thrown a lot of promising and potential youngsters in its wake, while established players have fallen! With IPL 2022, we realise that âSceptre and Crown must tumble downâ and that form and class like everything else are âshadows not substantial thingsâ (Death the Leveller by James Shirley). So King Kohli had to kneel, and hitmanâ himself gotâŚ
View On WordPress
Player Performance Estimation using AI Collaborative Filtering
Player Performance Estimation using AI Collaborative Filtering
1. Introduction Often times before crucial matches, or in general, we would like to know the performance of a batsman against a bowler or vice-versa, but we may not have the data. We generally have data where different batsmen would have faced different sets of bowlers with certain performance data like ballsFaced, totalRuns, fours, sixes, strike rate and timesOut. Similarly different bowlersâŚ
View On WordPress
IPL 2022: Near real-time analytics with GooglyPlusPlus
IPL 2022: Near real-time analytics with GooglyPlusPlus
It is that time of the year when there is âa song in the air, the larkâs on the wing, and the snailâs on the the thornâ. Yes, it is the that time of year when the grand gala event of IPL 2022 is underway. So, I managed to wake myself from my Covid-induced slumber, worked up my âcreaking bonesâ and cranked up the GooglyPlusPlus machinery. So now, every morning, a scheduled CRON tab entry willâŚ
View On WordPress
GooglyPlusPlus2022 optimizes batting/bowling lineup
GooglyPlusPlus2022 optimizes batting/bowling lineup
GooglyPlusPlus2022 is the new avatar of last yearâs GooglyPlusPlus2021. Roughly, about 5 years back I had written a post on Using linear programming to optimize T20 batting and bowling line up. This post has been on the back of my mind for a long time and I decided to pay this post a revisit. This requires computing performance of individual batsmen vs bowlers and vice-versa for performing theâŚ
View On WordPress
Analyzing player performance with animated charts!
Analyzing player performance with animated charts!
Analytics is by definition, the process of identifying, discovering and interpreting patterns in data. There are different ways of capturing these patterns through charts (bar, pie, cumulative data, moving average etc.). One such way is the motion or animated chart which captures the changes in data across different time periods. This was made famous by Hans Rosling in his Gapminder charts. InâŚ
View On WordPress
GooglyPlusPlus2021: Towards more picturesque analytics!
GooglyPlusPlus2021: Towards more picturesque analytics!
Analytics for e.g. sports analytics, business analytics or analytics in e-commerce or in other domain has 2 main requirements namely a) What kind of analytics (set of parameters,function) will squeeze out the most intelligence from the data b) How to represent the analytics so that an expert can garner maximum insight? While it may appear that the former is more important, the latter is alsoâŚ
View On WordPress
GooglyPlusPlus2021 now with power play, middle and death over analysis
GooglyPlusPlus2021 now with power play, middle and death over analysis
This latest edition of GooglyPlusPlus2021 now includes detailed analysis of teams, batsmen and bowlers in power play, middle and death overs. The T20 format is based on 3 phases as each side faces 20 overs. Power play: Overs: 0 â 6 â No more than 2 players can be outside the 30 yard circle Middle overs: Overs: 7- 16 â During these overs the batting side tries to consolidate their innings DeathâŚ
View On WordPress