Forwarded from codepedia
Learning Professional Python - Volume 2.pdf
17.4 MB
Forwarded from Data Science Books
Al_Sweigart_The_Big_Book_of_Small_Python_Projects_81_Easy_Practice.pdf
7.3 MB
Forwarded from Data world with Mina (Mina Ra)
الگوریتم یادگیری ماشینی جدیدی که در آزمایشگاه ملی لوس آلموس توسعه یافته است، می‌تواند دیتاست‌های بسیار بسیار بزرگ را پردازش کند. این الگوریتم توانست یک دیتاست 1.6 اگزابایتی!! (۱.۶ میلیون ترابایت) را فاکتورایز کند که رکورد بزرگی محسوب می‌شود.
https://techxplore.com/news/2023-09-machine-masters-massive-algorithm-exabyte.html
https://techxplore.com/news/2023-09-machine-masters-massive-algorithm-exabyte.html
Forwarded from کدیاد | Codeyad | آموزش برنامه نویسی
Python.Crash.Course.pdf
8 MB
Forwarded from AI with Parissan 🤖🦾 (Pariss)
python tutorial 🤯🤯.pdf
5.7 MB
✅ Python Tutorials 🎭🎭
✅ آموزش پایتون با مساله و خروجی مسائل به زبان ساده و بسیار کاربردی 🦦🦦🦦
#python #programming #projecs
AIwithParissan | AI Tutorials
✅ آموزش پایتون با مساله و خروجی مسائل به زبان ساده و بسیار کاربردی 🦦🦦🦦
#python #programming #projecs
AIwithParissan | AI Tutorials
Forwarded from Data Science Books
Python Real-World Projects [DatascienceM].pdf
11.2 MB
Forwarded from Data Science Books
Computational Methods with MATLAB (2023).pdf
36.6 MB
📚 Title: Computational Methods with MATLAB (2023)
📸 Book Cover: Click Here
⛔️ Next Book: after 10 likes
📸 Book Cover: Click Here
⛔️ Next Book: after 10 likes
Forwarded from AI with Parissan 🤖🦾 (Pariss)
learneverythingai -9.pdf
2.6 MB
✅ Machine Learning for absolutely Beginners 🚀🚀🚀🚀
✅ ماشین لرنینگ برای فوق مبتدیان کتابچه کامل با مسائل کاربردی و مثال‌های تصویری و به زبان ساده 🦦🦦🦦🦦
#machinelearning #statisticallearning #datascience #artificialinteligence #ai
AIwithParissan | AI Tutorials
✅ ماشین لرنینگ برای فوق مبتدیان کتابچه کامل با مسائل کاربردی و مثال‌های تصویری و به زبان ساده 🦦🦦🦦🦦
#machinelearning #statisticallearning #datascience #artificialinteligence #ai
AIwithParissan | AI Tutorials
Forwarded from codepedia
Data Structures and Algorithms in Python.pdf
5.6 MB
Forwarded from Data Science Books
Computational Methods for Deep Learning.pdf
26 MB
Forwarded from Data Science Books
MATLAB Deep Learning Toolbox Reference.pdf
16.7 MB
Forwarded from Data Science Books
Absolute Beginner s Python Programming.pdf
14 MB
Forwarded from Data Science Books
Data Science Handbook.pdf
7.8 MB
Forwarded from Data Science Books
Deep Learning for Data Architects.pdf
15.9 MB
Forwarded from Data world with Mina (Mina Ra)
lbdl.pdf
5 MB
جزوه یادگیری عمیق
خیلی کامل
و به زبان روان انگلیسی
توصیه میکنم
الگوریتم های #یادگیری_ماشین
#مصاحبه_علم_داده
#علم_داده
@datalook_ir
منبع مطالب رایگان علم داده، کتاب ، نمونه کد
فیلم آموزشی
کارگاه و وبینار رایگان
خیلی کامل
و به زبان روان انگلیسی
توصیه میکنم
الگوریتم های #یادگیری_ماشین
#مصاحبه_علم_داده
#علم_داده
@datalook_ir
منبع مطالب رایگان علم داده، کتاب ، نمونه کد
فیلم آموزشی
کارگاه و وبینار رایگان
Forwarded from Data Science Books
An Introduction to Data Science (2019).pdf
13.6 MB
Forwarded from Data Science Books
Functional Python Programming.pdf
3.2 MB
Forwarded from Data Science Books
Wired_Python-Data-Science.pdf
5.5 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