Forwarded from Data Science Books
An Introduction to Data Science (2019).pdf
13.6 MB
Forwarded from codepedia
Pretrain_Vision_and_Large_Language_Models_in_Python_2023_1.pdf
10.4 MB
Pretrain Vision and Large Language Models in Python (2023)
What you will learn
Find the right use cases and datasets for pretraining and fine-tuning
Prepare for large-scale training with custom accelerators and GPUs
Configure environments on AWS and SageMaker to maximize performance
Select hyperparameters based on your model and constraints
Who this book is for
If you're a machine learning researcher or enthusiast who wants to start a foundation modelling project, this book is for you. Applied scientists, data scientists, machine learning engineers, solution architects, product managers, and students will all benefit from this book. Intermediate Python is a must, along with introductory concepts of cloud computing. A strong understanding of deep learning fundamentals is needed, while advanced topics will be explained. The content covers advanced machine learning and cloud techniques, explaining them in an actionable, easy-to-understand way.
👇
🆔 @code_pedia
What you will learn
Find the right use cases and datasets for pretraining and fine-tuning
Prepare for large-scale training with custom accelerators and GPUs
Configure environments on AWS and SageMaker to maximize performance
Select hyperparameters based on your model and constraints
Who this book is for
If you're a machine learning researcher or enthusiast who wants to start a foundation modelling project, this book is for you. Applied scientists, data scientists, machine learning engineers, solution architects, product managers, and students will all benefit from this book. Intermediate Python is a must, along with introductory concepts of cloud computing. A strong understanding of deep learning fundamentals is needed, while advanced topics will be explained. The content covers advanced machine learning and cloud techniques, explaining them in an actionable, easy-to-understand way.
👇
🆔 @code_pedia
Forwarded from Data Science Books
David_Amos,_Dan_Bader,_Joanna_Jablonski,_Fletcher_Heisler_Python.pdf
6.5 MB
👍1
Forwarded from Data Science Books
The Python Interview Handbook 2023.pdf
25.1 MB
Forwarded from Data Science Books
Machine Learning in Python for Dynamic Process Systems.pdf
10.2 MB
Forwarded from DeepMind AI Expert (Farzad 🦅)
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ترنسفورمرها چطور کار میکنند؟! آموزش مصورسازی خوبیه
https://ig.ft.com/generative-ai/
#منابع #الگوریتمها
🔸 مطالب بیشتر 👇👇
✅ @AI_DeepMind
🔸 @AI_Person
https://ig.ft.com/generative-ai/
#منابع #الگوریتمها
🔸 مطالب بیشتر 👇👇
✅ @AI_DeepMind
🔸 @AI_Person
👍2
Forwarded from AI with Parissan 🤖🦾 (Pariss)
learneverythingai -20.pdf
8.6 MB
✅ Deep Learning for absolutely Beginners with COLOURs in Funny Ways 🤪🤪🎉🎉🦦🦦🦦
✅ دیپ لرنینگ برای مبتدیان رنگی رنگی و بامزه 🦦🎉🤪⚡
#deeplearning #artificialinteligence #ai #machinelearning
AIwithParissan | AI Tutorials
✅ دیپ لرنینگ برای مبتدیان رنگی رنگی و بامزه 🦦🎉🤪⚡
#deeplearning #artificialinteligence #ai #machinelearning
AIwithParissan | AI Tutorials
👍1
Forwarded from A Math Book
Python for Data Science For Dummies (2023).pdf
9 MB
Python for Data Science For Dummies ( John Paul Mueller & Luca Massaron ), 3rd edition. Wiley 2024
👍1
Forwarded from Data Science Books
Python Programming for Beginners (2023).pdf
2.2 MB
Forwarded from Data Science Books
Accelerators for Convolutional Neural Networks (2023).pdf
10.1 MB
Forwarded from Data Science Books
Challenging Programming in Python.pdf
2.6 MB
Forwarded from Data Science Books
Python Data Analytics - Third Edition.pdf
38.3 MB
Forwarded from Data Science Books
Learn OpenCV with Python by Examples.pdf
33.9 MB
Forwarded from Data Science Books
Machine Learning Contests (2023).pdf
11.8 MB
Forwarded from Data Science Books
Deep Learning and Its Applications Using Python (2023).pdf
8.2 MB
👍1