@edmundmcmillen The first thing that comes to mind is a button to completely empty the furniture in the house without having to remove it one piece at a time if you want to tidy up.
if you're struggling on where to start learning ML, here’s a playlist of 30 youtube videos to learn machine learning fundamentals from scratch
"Machine Learning: Teach by Doing" is a solid choice to learn both theory and code.
(1) Introduction to Machine Learning Teach by Doing: https://t.co/EcHd3IHQ3Z
(2) What is Machine Learning? History of Machine Learning: https://t.co/XQEaBBpUXv
(3) Types of ML Models: https://t.co/unctrrGoK6
(4) 6 steps of any ML project: https://t.co/7WQttDrwHy
(5) Install Python and VSCode and run your first code: https://t.co/PwM7lGxNfG
(6) Linear Classifiers Part 1: https://t.co/kutR5VxDoN
(7) Linear Classifiers Part 2: https://t.co/duLRHfir3E
(8) Jupyter Notebook, Numpy and Scikit-Learn: https://t.co/wgBPfWQM46
(9) Running the Random Linear Classifier Algorithm in Python: https://t.co/MoiAIhaMm3
(10) The oldest ML model - Perceptron: https://t.co/OF9S6081GW
(11) Coding the Perceptron: https://t.co/QIraU5i9Ve
(12) Perceptron Convergence Theorem: https://t.co/QIraU5i9Ve
(13) Magic of features in Machine Learning: https://t.co/Mpc9BzHupy
(14) One hot encoding: https://t.co/L3HLdAb4b9
(15) Logistic Regression Part 1: https://t.co/9jn7vdpzvj
(16) Cross Entropy Loss: https://t.co/qjazp9ES8b
(17) How gradient descent works: https://t.co/dszIGQ5DNr
(18) Logistic Regression from scratch in Python: https://t.co/udibe8VdWc
(19) Introduction to Regularization: https://t.co/AiQw2fDT4j
(20) Implementing Regularization in Python: https://t.co/9cYkzfrz2S
(21) Linear Regression Introduction: https://t.co/QFUkESKEJt
(22) Ordinary Least Squares step by step implementation: https://t.co/sWQyCYSWrE
(23) Ridge regression fundamentals and intuition: https://t.co/v0xH1FIHI6
(24) Regression recap for interviews: https://t.co/9uqcCizHC8
(25) Neural network architecture in 30 minutes: https://t.co/Pz0EISfML9
(26) Backpropagation intuition: https://t.co/U8hgjH8vjX
(27) Neural network activation functions: https://t.co/rhlWrMWA9U
(28) Momentum in gradient descent: https://t.co/tRuvC4dsFK
(29) Hands on neural network training in Python: https://t.co/vhQt3BgpB5
(30) Introduction to Convolutional Neural Networks (CNNs): https://t.co/AYnfFwrzEA
Since the game is 3 hours away, let's do a last minute GIVEAWAY for 3 more copies!
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🗣️ Comment "The Plucky Squire"
We'll pick 3 winners soon after launch
Winners can request a digital copy for Steam, Nintendo Switch, PlayStation 5 or Xbox Series
THIS IS NOT A DRILL! 🚨
Here's your chance to win a unique, custom #SpaceMarine2 PlayStation 5 (blessed by the Emperor)! The lucky winner will also get a key of the game. 🍀
To enter:
- follow us
- RT & like this post
- reply with #SpaceMarine2
Rules: https://t.co/errOw5W9B9
We're giving away 10 COPIES of The Plucky Squire because we launch in 10 days!
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We want to share our studio's debut game with as many people as we can 📖
To celebrate World Book Day, we are GIVING AWAY 3 copies of our game, The Plucky Squire!
🩶 Like and RT this post
📕 Follow our account
✍️ Comment a book you read when you were younger
to enter to win a copy at our unannounced release date. We'll have more news soon!
🔴Fextralife #Giveaway LIVE
In anticipation of #BaldursGate3's full release, we're giving away 3 CEs!
Includes:
⚔️PC digital code
⚔️160-page hardcover art book
⚔️A mind-flayer-inspired collector's box & plenty more!
ENTER NOW: https://t.co/sHcA5gGK9i
Get ready for lift off with the Starfield Limited Edition @Xbox controller and matching headset, available now! https://t.co/ysPLnttm9h
Retweet this post for a chance to win your own! We'll pick one lucky winner on June 19.
Rules: https://t.co/8bsGa5ag3Y
@JeremyECrawford I apologize for writing here after 4 years since the post's creation, but in the case of a spell such as Melf’s Minute Meteors or Spiritual Weapon, can I use them and then cast a spell of lv1 or more?
@Link4Universe Tutti indignati perché hanno cambiato la pelle di un personaggio di un cartone quando gli stessi non rispettavano le descrizioni originali al 100%, come in pinocchio con la fata turchina adulta e bionda invece che una bambina dai capelli turchini e non mi pare si siano lamentati