#machinelearningwithpythoncourseinnoida risultati di ricerca
๐๐ฒ๐ฎ๐ฟ๐ป ๐๐ฟ๐๐ถ๐ณ๐ถ๐ฐ๐ถ๐ฎ๐น ๐๐ป๐๐ฒ๐น๐น๐ถ๐ด๐ฒ๐ป๐ฐ๐ฒ (๐๐), ๐ ๐ฎ๐ฐ๐ต๐ถ๐ป๐ฒ ๐๐ฒ๐ฎ๐ฟ๐ป๐ถ๐ป๐ด (๐ ๐), ๐ฎ๐ป๐ฑ ๐ก๐ฎ๐๐๐ฟ๐ฎ๐น ๐๐ฎ๐ป๐ด๐๐ฎ๐ด๐ฒ ๐ฃ๐ฟ๐ผ๐ฐ๐ฒ๐๐๐ถ๐ป๐ด (๐ก๐๐ฃ) , ๐๐ต๐ฒ ๐๐ฟ๐ถ๐ผ ๐๐ต๐ฎ๐ฝ๐ถ๐ป๐ด ๐๐ต๐ฒ ๐ณ๐๐๐๐ฟ๐ฒ. AI is not replacing you - someone who knows AIโฆ
PYTHON is difficult to learn, but not anymore! Introducing "The Ultimate Python ebook "PDF. You will get: โข 74+ pages cheatsheet โข Save 100+ hours on research And for 48 hrs, it's 100% FREE! To get it, just: 1. Follow me [MUST] 2. Like & Retweet 3. Reply "Send"
![DAIEvolutionHub's tweet image. PYTHON is difficult to learn, but not anymore!
Introducing "The Ultimate Python ebook "PDF.
You will get:
โข 74+ pages cheatsheet
โข Save 100+ hours on research
And for 48 hrs, it's 100% FREE!
To get it, just:
1. Follow me [MUST]
2. Like & Retweet
3. Reply "Send"](https://pbs.twimg.com/media/G3YV3vZWgAAI-_E.jpg)
I'm deleting this soon because it's a legit cash-printing formula. ๐ฃ๐ฎ๐ถ๐ฑ ๐๐ผ๐๐ฟ๐๐ฒ ๐๐ฅ๐๐ (PART - 3) 1. Artificial Intelligence + Data Analyst 2. Machine Learning + Data Science 3. Cloud Computing + Web Development 4. Ethical Hacking + Hacking 5. Data Analytics + DSA 6.โฆ
Excited to release new repo: nanochat! (it's among the most unhinged I've written). Unlike my earlier similar repo nanoGPT which only covered pretraining, nanochat is a minimal, from scratch, full-stack training/inference pipeline of a simple ChatGPT clone in a single,โฆ
1. Data Scientist toolbox : Give Away Alert!! 1. Artificial Intelligence 2. Machine Learning 3. Cloud Computing 4. Ethical Hacking 5. Data Analytics 6. AWS Certified 7. Data Science 8. BIG DATA 9. Python 10 MBA For 24 Hours only! To get it: 1. Like, Retweet andโฆ
Data Analytics from Zero to Expert Free Course ๐ฒ A Udemy Complete Paid Course for Free. This Course covers; - Excel - SQL - Python - Tableau โ Many more.. To get it simply Dm 24 hours 1. Follow (so that I can DM) 2. Like & Repost (Must) 3. Type "Learn" to get Link in DM ๐งฒ
โAIๅๅผทๆณโ็ฅใใชใใจใใธใงๆใใพใใ NotebookLMใไฝฟใใฐใ่ชฟในใๆ ๅ ฑโ่ฆ็ดโ้ณๅฃฐโใขใฆใใใใใพใงไธ็ฌใงๅฎ็ตใ AIรใขใฆใใใใใงโๅๅผทๆ้ใๅๅใซใใโ็ฉถๆฅตใฎๅญฆ็ฟๆณใใฐใฉใฌใณใซใพใจใใพใใ๐ ๐ไฟๅญใใฆใใจใง่ฉฆใใฆใ
86.65 GB All paid Courses Collection๐ฅ Full Drive link, Worth: $599 FREE for first 2000 people๐ ๐ Data science ๐ Python ๐ AI ๐ Cloud ๐ BIG DATA ๐ Data Analytics ๐ BI ๐ Google Cloud Training ๐ Machine Learning ๐ Deep Learning ๐ Ethical Hacking To get it: โ Followโฆ
๐ What if you could snap a photo (or multiple angles) and instantly get a full 3D modelโno 3D-skills required? Welcome to the future of 3D creation. Here's how you can do it with Hitem3D๐
Python Data Science Handbook: Essential Tools for Working with Data! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programmingโฆ
Deep-Learning-Assisted Statistical Methods with Examples in R! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Codingโฆ
Introduction to Artificial Intelligence with Python Course
We called this a mile away. You can scrape all of the internet, but what if you plateau anyway? What you need is dynamic AI training that leverages real-time competition rather than static datasets. Thatโs how you build a self-improving ecosystem where AI models evolve throughโฆ
Crazy how you can say this when your whole mission is literally making the models betterโฆ muh AGI. โTheyโre not going to get much betterโฆ And never theyโre going to get worseโ -Sam Altman
If anyone needs a video guide to Karpathy's nanochat, check out Stanford's CS336! It covers: - Tokenization - Resource Accounting - Pretraining - Finetuning (SFT/RLHF) - Overview of Key Architectures - Working with GPUs - Kernels and Tritons - Parallelism - Scaling Laws -โฆ
I received many requests to share materials from our undergraduate course โMachine Learning in Chemistryโ โ here you go! A preprint summarizing insights and lessons learned: chemrxiv.org/engage/chemrxiโฆ A Jupyter Notebook Tutorial Gallery: xuhuihuang.github.io/mlchem/html/exโฆ
My focus for Spring 2025: launching an undergraduate course @UWMadisonChem @TCI_UW_Madison developed from scratch - "Chem361: Machine Learning in Chemistry"! Here's a glimpse of what we'll explore:
Andrej Karpathy released nanochat, ~8K lines of minimal code that do pretrain + midtrain + SFT + RL + inference + ChatGPT-like webUI. It trains a 560M LLM in ~4 hrs on 8รH100. I trained and hosted it on Hyperbolic GPUs ($48). First prompt reminded me how funny tiny LLMs are.โฆ
๐ฃ๐ฎ๐ถ๐ฑ ๐๐ผ๐๐ฟ๐๐ฒ ๐๐ฅ๐๐ 1. Artificial Intelligence 2. Machine Learning 3. Web Development 4. Ethical Hacking 5. Data Analytics 6. AWS Certified 7. Data Science 8. Python To get FREE: - 1. Follow me ( MUST) 2. Like & retweet 3. Reply " Send " I will do DM Everyone
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