Top Tweets for #Machinelarning
Artificial Intelligence vs Machine Learning vs Deep Learning: Key Differences Explained in 2026
#AI #artificialIntelligence #deepLearning #machineLarning
https://t.co/OgUFMKZXK5
Feature selection
Pearson correlation
#machinelarning
*/ I constantly see people rise in life who are not the smartest, sometimes not even the most diligent……but they are learning machines. */
— Charlie Munger
> BTW 2025 isn’t for the genius.
> It’s for the obsessed learner.
#machinelarning #charliemunger
Tomorrow is a special day, because it's Pi Day 🥧
To celebrate, go to 👉 https://t.co/zJk7fh3dXA tomorrow at 9AM PT for AWS Pi Day to learn more about data, analytics, and see demos from #AmazonSageMaker & #AmazonS3
See you there!
#AWS #ai #machinelarning
A Reminder of an old yet Gold Modeling Trick(Choosing the model) in #MachineLarning that never dies 🧑💻🤖🚀:
- Linear regression (l1/l2 as norms and elasticnet as regularization) as a starter.
- LightGBM for pretty much everything as it’s fast and accurate.
- CatBoost if you have many categorical features.
- Random Forest if your OOS variance is too high from LightGBM.
- XGBoost when you’re just curious.
- Ensemble multiple models and average the preds using postprocessing techniques like weighted average, median, etc, as well as run feature neutralisation.
Also, Random Forest is a Swiss knife of data science, albeit less powerful (but almost as powerful for most tasks unless one is going for that extra 0.001 on Kaggle) than boosted trees (CatBoost/LightGBM/XGBoost).
It is almost as powerful whilst much less fragile in terms of overfitting and less sensitive to hyperparameters. One can use Random Forest out of the box to get a good benchmark; less known is that XGBoost contains a faster implementation of Random Forest.
Note: Out-of-Specification (OOS) variance is when a sample's test results do not meet the established acceptance criteria.
Follow @trawasthi_ai for more contents that make ML, Deep Learning, Maths, etc. simple to understand.
#MachineLearning #DeepLearning #Maths #GenAI #100DaysOfCode
This year's #NobelPrize announcement took the world by surprise, leaving many to wonder if #machinelarning and #AI can truly be considered "physics". We share one writer's perspective on both the history of AI and how it relates to physics: https://t.co/R6e9aegPM1
Automatically fine-tune parameter set-points in real-time & let our #AI Operator provide continuous process diagnosis, catching issues early and ensuring smooth, efficient operations. Stay ahead with intelligent, proactive control!
#PredictiveControl #MachineLarning #SaaS #Haber
A Reminder of an old Modeling Trick(Choosing the model) in #MachineLarning that never dies 🧑💻🤖🚀:
- Linear regression (l1/l2 as norms and elasticnet as regularization) as a starter.
- LightGBM for pretty much everything as it’s fast and accurate.
- CatBoost if you have many categorical features.
- Random Forest if your OOS variance is too high from LightGBM.
- XGBoost when you’re just curious.
- Ensemble multiple models and average the preds using postprocessing techniques like weighted average, median, etc, as well as run feature neutralisation.
Also, Random Forest is a Swiss knife of data science, albeit less powerful (but almost as powerful for most tasks unless one is going for that extra 0.001 on Kaggle) than boosted trees (CatBoost/LightGBM/XGBoost).
It is almost as powerful whilst much less fragile in terms of overfitting and less sensitive to hyperparameters. One can use Random Forest out of the box to get a good benchmark; less known is that XGBoost contains a faster implementation of Random Forest.
Note: Out-of-Specification (OOS) variance is when a sample's test results do not meet the established acceptance criteria.
#MachineLearning #DeepLearning #GenAI #LLM #Grok2images #grokai #100DaysOfCode
Advance your career with us! Apply for a #HorizonEurope #MSCA European #PostdoctoralFellowship with Prof Alessio Benavoli on #HumancentredAI
Submit your expression of interest today! https://t.co/BbucHlXZnM
#MachineLarning #BayesianOptimisation #ReinforcementLearning #AI
"Attending to Topological Spaces: The Cellular Transformer" by @rballeba, @mathildepapillo, @ClaBat9 , @ninamiolane, @tolga_birdal, @carlescasac, @SergioEscalera_ , @HajijMustafa et al.
Paper: https://t.co/FSJ3lQYICS
#machinelarning #topologicaldeeplearning
Interested in the impact of Covid-19 vaccination on mortality risk prediction in nursing home residents?
Our latest study utilizes machine learning techniques in a retrospective cohort analysis to examine this. #COVID19 #machinelarning
https://t.co/yjhcPJZRHS
Cryptocurrency is the new Linux Distro fighting to become the next Windows competitor. 👽
@elonmusk #ArtificialIntelligence #augmentedreality #coding #programming #softwaredevelopment #webdev #python #web3 #kotlin #php #algorithms #machinelarning #artificialintelligence
This is broken on 70% of cars & costs $10 @elonmusk #ArtificialIntelligence #augmentedreality #coding #programming #softwaredevelopment #webdev #python #web3 #kotlin #php #algorithms #machinelarning #artificialintelligence #cybersecurity #mobiledev #gamingpc #GamingLife #art
Last Seen Hashtags on Sotwe
binorsange
Seen from Indonesia
คู่โชว์
Seen from Thailand
xlii or #exny or #momson or #nolimit() +filter:native_video
Seen from Turkey
PINTOSAWARDS
Seen from Brazil
92i suce
Seen from France
teenage omegle leaks
Seen from United States
lasvegas
Seen from United States
Ipcam spy
Seen from Brazil
女斗
groinstomp
Seen from Mexico
Most Popular Users
Elon Musk 
@elonmusk
240.5M followers
Barack Obama
@barackobama
119.3M followers
Donald J. Trump
@realdonaldtrump
111.7M followers
Cristiano Ronaldo
@cristiano
110.4M followers
Narendra Modi
@narendramodi
107M followers
Rihanna
@rihanna
97.6M followers
NASA
@nasa
92.1M followers
Justin Bieber
@justinbieber
90.9M followers
KATY PERRY
@katyperry
87.5M followers
Taylor Swift
@taylorswift13
81.4M followers
Lady Gaga
@ladygaga
72.9M followers
Kim Kardashian
@kimkardashian
69.7M followers
Virat Kohli
@imvkohli
69.7M followers
YouTube
@youtube
68.7M followers
Bill Gates
@billgates
63.8M followers
The Ellen Show
@theellenshow
62.5M followers
Neymar Jr
@neymarjr
62.4M followers
CNN
@cnn
61.9M followers
X
@x
60.8M followers
Selena Gomez
@selenagomez
60.6M followers