Top Tweets for #MachieLearning
Day 2 of the Machine Learning Foundations Course 🥳🥳. Here a few points to take home from the day's lecture.
@lawrennd
#MLFC #dsail #machielearning

💡If your deep learning model 🌌 doesn't give you stress😖, you may not be making mistakes and learning......
#deeplearning #ai #machielearning #quotes #thoughts #thinking
記事中では触れてませんが最後のv2のモデル(4層のNN)は処理負荷こんな感じでした。
[1枚目] そのまま → Avg: 750μs
[2,3枚目] パラメータ読み込みを最初の1回だけに→ Avg: 150μs
[4枚目] ikHandle RPsolver → Avg: 200μs(※比較用)
#bifrost #rigging #maya3d #MachieLearning
![akasaki1211's tweet photo. 記事中では触れてませんが最後のv2のモデル(4層のNN)は処理負荷こんな感じでした。
[1枚目] そのまま → Avg: 750μs
[2,3枚目] パラメータ読み込みを最初の1回だけに→ Avg: 150μs
[4枚目] ikHandle RPsolver → Avg: 200μs(※比較用)
#bifrost #rigging #maya3d #MachieLearning https://t.co/ZVXxqouuWr](https://pbs.twimg.com/media/GxjwNX0boAAjzej.png)
Bifrostでリグを組んでみる連載、第7回公開されました🚀
機械学習リグ後編です。クロスシミュで訓練データを作ってコントローラの補正位置を予測します🎒
#bifrost #rigging #maya3d #MachieLearning
Bifrostでリグを組んでみる連載、第7回公開されました🚀
機械学習リグ後編です。クロスシミュで訓練データを作ってコントローラの補正位置を予測します🎒
#bifrost #rigging #maya3d #MachieLearning
Bifrost for Maya Rigging Challenge~一歩先のリグ・アニメーションに挑戦~
第7回:機械学習でリュックの連動リグ〜実践編〜
「機械学習で事前に用意したポーズデータを近似する連動リグ」として、上半身の動きに連動したリュックのリグの後編です。
Mayaのデータも公開!
https://t.co/sesdbI5DrO
Bifrostでリグを組んでみる連載、第6回公開されました🚀
今回は機械学習に挑戦します!ボリュームが大きめなので導入編と実践編の2回に分けていきます🤸
まずは「導入編」です。
#bifrost #rigging #maya3d #MachieLearning
Bifrost for Maya Rigging Challenge~一歩先のリグ・アニメーションに挑戦~
第6回:機械学習でリュックの連動リグ〜導入編〜
「機械学習で事前に用意したポーズデータを近似する連動リグ」として、上半身の動きに連動したリュックのリグを作ります
シーンデータも公開中!
https://t.co/PmnOcOZVm1
Thought-controlled bionic arm
by @UNILADTECH
#Robotics #Robots #AI #MachieLearning #Innovation #Healthcare #HealthcareTechnology @Victoryabro @KMcDTech @ChuckDBrooks @postoff25
Moving the goalpost logical fallacy:
---
@Nvidia CEO defines the meaning of artificial general intelligence (AGI) in a highly restrictive way and makes a five-year AGI claim.
Moving the goalpost!
#logic #artificialintelligence #machielearning #AIhype #STEM
“If we define AGI as a piece of software, a computer that can take a whole bunch of tests and deliver results that are fairly competitive to a normal human? I would say within the next 5 years”
--Jensen Huang, NVIDIA CEO
Nvidia CEO: AIs are recursively self-improving. We are "obviously" less than 5 years from AGI.
INTERVIEWER: People talk about AGI. Do you think in 10 years from now we're there?
JENSEN HUANG: Depending on how you define it, I think the answer is yes. And so the question is, what is AGI? If we define AGI as a piece of software, a computer that can take a whole bunch of tests. And these tests reflect basic intelligence, and by completing those tests, deliver results that are fairly competitive to a normal human? I would say that within the next five years, you're going to see, obviously, AIs that can achieve those tests.
AIs are designing AIs:
INTERVIEWER: And design the chips that you're making right now?
JENSEN HUANG: Yeah.
INTERVIEWER: Will you need to have the same staff that designs them?
JENSEN HUANG: In fact, none of our chips are possible today without AI. Literally. The H100s we're shipping today was designed with the assistance of a whole lot of AIs. Otherwise, we wouldn't be able to cram so many transistors on a chip or optimize the algorithms to the level that we have.
Software can't be written without AI, chips can't be designed without AI. Nothing's possible.
Hope you guys are doing well 😁
Topic I am learning: k-NN algorithm
#machielearning #ccbp @nxtwave_tech @sashankreddy07 @rahulattuluri

Machine Learning And Creativity: Advertising And Marketing Sectors To Undergo A Paradigm Shift By Mohit Shrivastava Via @GlobalTradeMag https://t.co/qxv8XbGJ6q #machielearning #advertising #AI
¡Aparta la fecha! En nuestro Nano International Forum '22 tendremos la paricipación de Ju Li, y su plática "Machine learning in the discovery of nanomaterials".
#ClusterNano #NIF22 #MachieLearning

Walking Closet; I wish to have one▶️
#Analytics #MachieLearning #AI #Rstats #Reactjs #Linux #serverless #flutter #ML #NLP #Javascript #DataScience #BigData #Cloud #SmartHome #futureofwork #Coding #fintech #ArtificialIntelligence #Robotics #100DaysOfCode
Gaurav Kumar explores Latent class analysis - a statistical technique which is used for the analysis of multivariate categorical data.
https://t.co/Dco4362wjc
#data #machinelearning #100daysofcode #statistics #Bigdata #machielearning #algorithm #coding #datascience
Through this article, we will explore the features and capabilities of @h2oai and Demonstrate #AutoML in model development and prediction using H20ai.
https://t.co/2olplkonui
#H20ai #machielearning #artificialintelligence
Finish! guide how to deploy a #machieLearning model to heroku, using #fastai #reactjs check out the blog
#programming #javascript #coding
https://t.co/Yn3QI7CZJS
Bridging The Gender Gap In #AI https://t.co/WqXeUYHebO #DataScience #machielearning #Deeplearning #ArtificialIntelligence #NLP #NoSQL #IoT #Cassandra #Kafka #hadoop #spark #DataMining #GlobalAI #Tensorflow #serverless #Kubernetes
@jacobahtan @Avaniko_tech @rohithasri @satishkumarm @Uneecops @eunseok_bang @vestricspvtltd #19: Smart Swine Growing by MTC from China.Automate the pig counting, weight estimation and health monitoring by motion checking in pig farm with #MachieLearning #ComputerVision and #RFID. #SAPBusinessOne, #SAPBusinessByDesign. Blog: https://t.co/mY2r4AIfy1

Mathematics is an essential part of Machine Learning. It involves various activities like selecting the perfect algorithm, choosing different parameters, estimating intervals.
https://t.co/BcqkwlXsKY
#eduonix #elearning #onlinecourses #machielearning #algorithms #tutorials
#amazon #machielearning
New Amazon tool helps machine learning models identify unique objects https://t.co/6bYY8xQ9rB via @YahooLifestyle
Es curioso que donde puedes no tener error de sesgo, sí podrás tener error de varianza. Y viceversa. #MACHIELEARNING #ERROR #DELOITTE

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![akasaki1211's tweet photo. 記事中では触れてませんが最後のv2のモデル(4層のNN)は処理負荷こんな感じでした。
[1枚目] そのまま → Avg: 750μs
[2,3枚目] パラメータ読み込みを最初の1回だけに→ Avg: 150μs
[4枚目] ikHandle RPsolver → Avg: 200μs(※比較用)
#bifrost #rigging #maya3d #MachieLearning https://t.co/ZVXxqouuWr](https://pbs.twimg.com/media/GxjucxQbAAAeUvQ.png)
![akasaki1211's tweet photo. 記事中では触れてませんが最後のv2のモデル(4層のNN)は処理負荷こんな感じでした。
[1枚目] そのまま → Avg: 750μs
[2,3枚目] パラメータ読み込みを最初の1回だけに→ Avg: 150μs
[4枚目] ikHandle RPsolver → Avg: 200μs(※比較用)
#bifrost #rigging #maya3d #MachieLearning https://t.co/ZVXxqouuWr](https://pbs.twimg.com/media/GxjuctoasAAvRNo.png)
![akasaki1211's tweet photo. 記事中では触れてませんが最後のv2のモデル(4層のNN)は処理負荷こんな感じでした。
[1枚目] そのまま → Avg: 750μs
[2,3枚目] パラメータ読み込みを最初の1回だけに→ Avg: 150μs
[4枚目] ikHandle RPsolver → Avg: 200μs(※比較用)
#bifrost #rigging #maya3d #MachieLearning https://t.co/ZVXxqouuWr](https://pbs.twimg.com/media/GxjuctbbMAAQm1j.jpg)





















