GitHub - Aswin-Cheerngodan/AI-ML-Resources: Curated collection of useful materials, tutorials, guides, and tools to help anyone learn and explore Artificial Intelligence (AI) and Machine Learning (ML).

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Curated collection of useful materials, tutorials, guides, and tools to help anyone learn and explore Artificial Intelligence (AI) and Machine Learning (ML).

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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
AI Agents		AI Agents
HFT		HFT
Stanford Cheatsheets		Stanford Cheatsheets
.gitattributes		.gitattributes
.gitignore		.gitignore
18-AOS1747.pdf		18-AOS1747.pdf
3--Introduction_to_Linear_Regression_Analysis__5th_ed._Douglas_C._Montgomery__Elizabeth_A._Peck__and_G._.pdf		3--Introduction_to_Linear_Regression_Analysis__5th_ed._Douglas_C._Montgomery__Elizabeth_A._Peck__and_G._.pdf
ADVANCED_MACHINE_LEARNING_WITH_PYTHON.pdf		ADVANCED_MACHINE_LEARNING_WITH_PYTHON.pdf
AI_Russell_Norvig.pdf		AI_Russell_Norvig.pdf
ALEXNETIMAGE.png		ALEXNETIMAGE.png
AlexNet.pdf		AlexNet.pdf
Applied Regression Analysis A Research Tool_Rawlings-Pantula-Dickey.pdf		Applied Regression Analysis A Research Tool_Rawlings-Pantula-Dickey.pdf
Aurelien-Geron-Hands-On-Machine-Learning-with-Scikit-Learn-Keras-and-Tensorflow_-Concepts-Tools-and-Techniques-to-Build-Intelligent-Systems-OReilly-Media-2019.pdf		Aurelien-Geron-Hands-On-Machine-Learning-with-Scikit-Learn-Keras-and-Tensorflow_-Concepts-Tools-and-Techniques-to-Build-Intelligent-Systems-OReilly-Media-2019.pdf
Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf		Bishop-Pattern-Recognition-and-Machine-Learning-2006.pdf
BookAdvanced.pdf		BookAdvanced.pdf
Chip_Huyen_Designing_Machine_Learning_Systems_An_Iterative_Process.pdf		Chip_Huyen_Designing_Machine_Learning_Systems_An_Iterative_Process.pdf
Coursera SI2QZ22AHUML.pdf		Coursera SI2QZ22AHUML.pdf
DL_and_ANN_campusX.pdf		DL_and_ANN_campusX.pdf
Feature Engineering for Machine Learning Principles and Techniques for Data Scientists.pdf		Feature Engineering for Machine Learning Principles and Techniques for Data Scientists.pdf
Fundamentals of Machine Learning for Predictive Data Analytics 2015.pdf		Fundamentals of Machine Learning for Predictive Data Analytics 2015.pdf
GAN_architecture.webp		GAN_architecture.webp
Ian Goodfellow, Yoshua Bengio, Aaron Courville - Deep Learning (2017, MIT).pdf		Ian Goodfellow, Yoshua Bengio, Aaron Courville - Deep Learning (2017, MIT).pdf
LSTM.pdf		LSTM.pdf
Linear Algebra .pdf		Linear Algebra .pdf
Make Your Own Neural Network.pdf		Make Your Own Neural Network.pdf
Math--Bertsekas_Tsitsiklis_Introduction_to_probability.pdf		Math--Bertsekas_Tsitsiklis_Introduction_to_probability.pdf
Neural Networks from Scratch in Python.pdf		Neural Networks from Scratch in Python.pdf
Python for Data Analysis _ data wrangling with Pandas- NumPy- and IPython.pdf		Python for Data Analysis _ data wrangling with Pandas- NumPy- and IPython.pdf
Python_Cookbook_3rd_Edition.pdf		Python_Cookbook_3rd_Edition.pdf
RNN Stanford.pdf		RNN Stanford.pdf
RNN,LSTM,GRU-gpt.pdf		RNN,LSTM,GRU-gpt.pdf
ScyllaDB-Designing-Data-Intensive-Applications.pdf		ScyllaDB-Designing-Data-Intensive-Applications.pdf
Stable-Diffusion-org.webp		Stable-Diffusion-org.webp
Stable-Diffusion.jpg		Stable-Diffusion.jpg
Stock price prediction using the news sentiment.pdf		Stock price prediction using the news sentiment.pdf
TFT.webp		TFT.webp
Temporal Fusion Transformers.pdf		Temporal Fusion Transformers.pdf
The Elements of statistical learning.pdf		The Elements of statistical learning.pdf
The-Vision-Transformer-architecture-a-the-main-architecture-of-the-model-b-the.png		The-Vision-Transformer-architecture-a-the-main-architecture-of-the-model-b-the.png
Think Stats.pdf		Think Stats.pdf
Transformers.pdf		Transformers.pdf
Transformers_campusx.pdf		Transformers_campusx.pdf
Transformers_jay_alammer.pdf		Transformers_jay_alammer.pdf
Vision-Transformer-Architecture_.webp		Vision-Transformer-Architecture_.webp
aapl_stock_price_model_development.ipynb		aapl_stock_price_model_development.ipynb
anatomy.webp		anatomy.webp
data-structures-the-fun-way-early-access-9781718502604-9781718502314_compress.pdf		data-structures-the-fun-way-early-access-9781718502604-9781718502314_compress.pdf
deep-learning.pdf		deep-learning.pdf
doubletop.png		doubletop.png
eBook-How-to-Build-a-Career-in-AI.pdf		eBook-How-to-Build-a-Career-in-AI.pdf
grokking-deep-learning.pdf		grokking-deep-learning.pdf
machine_learning_algorithms_from_scratch_sample.pdf		machine_learning_algorithms_from_scratch_sample.pdf
master_machine_learning_algo_from_scratch.pdf		master_machine_learning_algo_from_scratch.pdf
mathematics-for-machine-learning.pdf		mathematics-for-machine-learning.pdf
preview-9781292269238_A39514643.pdf		preview-9781292269238_A39514643.pdf
seq-seq,attention-stnfd.pdf		seq-seq,attention-stnfd.pdf
stock_price_model_development_5.ipynb		stock_price_model_development_5.ipynb
stock_price_model_development_6.ipynb		stock_price_model_development_6.ipynb
toaz.info-hownottobewrong-jordanellenberg-pr_b562d6c44765395dff215e1099b10751.pdf		toaz.info-hownottobewrong-jordanellenberg-pr_b562d6c44765395dff215e1099b10751.pdf
transformers_krish_naik.pdf		transformers_krish_naik.pdf

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Curated collection of useful materials, tutorials, guides, and tools to help anyone learn and explore Artificial Intelligence (AI) and Machine Learning (ML).

machine-learning math deep artificial-intelligence