Forwarded from Machine learning books and papers (Ramin Mousa)
4_5773660197402707477.pdf
1.8 MB
Simple Deep Learning for
Programmers Write your own modern neural networks in Keras and Python for images and sequence data
#By: The Lazy Programmer
#book #DL
@Machine_learn
Programmers Write your own modern neural networks in Keras and Python for images and sequence data
#By: The Lazy Programmer
#book #DL
@Machine_learn
📚 کتاب «فقط برای تفریح» ترجمه جادی
این کتاب از زبان سازنده لینوکس داستان شکل‌گیری این سیستم عامل رو شرح میده؛ سیستم عاملی که که اگر از اینترنت استفاده می‌کنید و یا گوشی اندرویدی دارید شما هم کاربرش هستید.
شاید خوندن این کتاب خارج از حوصله خیلی‌ها باشه، اما می‌خوام پیشنهاد کنم یکی از مقالاتی که در انتهای کتاب اومده رو بخونید: «معنای زندگی ۲».
مقاله‌ای که در اون لینوس به صورت مختصر دیدگاهش راجع به «زندگی، جهان و همه چیز» رو توضیح میده. مقاله با این جملات آغاز میشه:
هیچ‌وقت برایتان پیش آمده که یک شب گرم تابستانی به ستاره‌ها نگاه کنید و از خودتان سوال کنید که چرا این جایید؟ جایگاه شما در جهان چیست و قرار است با زندگی‌تان چه‌کار کنید؟
خب بله، من هم برایم پیش نیامده.
☯️ مقاله «معنای زندگی ۲»
linuxstory.ir/chapters/meaning_of_life_2.html
🐧 کتاب «فقط برای تفریح؛ داستان یک انقلاب اتفاقی» با ترجمه جادی:
linuxstory.ir
#book #fun #linux
@pythonicAI
این کتاب از زبان سازنده لینوکس داستان شکل‌گیری این سیستم عامل رو شرح میده؛ سیستم عاملی که که اگر از اینترنت استفاده می‌کنید و یا گوشی اندرویدی دارید شما هم کاربرش هستید.
شاید خوندن این کتاب خارج از حوصله خیلی‌ها باشه، اما می‌خوام پیشنهاد کنم یکی از مقالاتی که در انتهای کتاب اومده رو بخونید: «معنای زندگی ۲».
مقاله‌ای که در اون لینوس به صورت مختصر دیدگاهش راجع به «زندگی، جهان و همه چیز» رو توضیح میده. مقاله با این جملات آغاز میشه:
هیچ‌وقت برایتان پیش آمده که یک شب گرم تابستانی به ستاره‌ها نگاه کنید و از خودتان سوال کنید که چرا این جایید؟ جایگاه شما در جهان چیست و قرار است با زندگی‌تان چه‌کار کنید؟
خب بله، من هم برایم پیش نیامده.
☯️ مقاله «معنای زندگی ۲»
linuxstory.ir/chapters/meaning_of_life_2.html
🐧 کتاب «فقط برای تفریح؛ داستان یک انقلاب اتفاقی» با ترجمه جادی:
linuxstory.ir
#book #fun #linux
@pythonicAI
Forwarded from Machine learning books and papers (parisa)
Unsupervised learning with python.pdf
33.9 MB
📚 10 Essential Books on Machine Learning & AI
✅ Hands on Machine learning with scikit-learn and tensorflow, Aurélien Géron
✅ Machine Learning For Absolute Beginners: A Plain English Introduction, Oliver Theobald
✅ Understanding Machine Learning: From Theory to Algorithms, Shai Shalev-Shwartz
✅ Machine Learning with R, Brett Lantz
✅ The Singularity is Near, Ray Kurzweil
✅ Applied Artificial Intelligence: A Handbook For Business Leaders, Mariya Yao, Adelyn Zhou, Marlene Jia
✅ Deep Learning with Python, Francois Chollet
✅ The Elements of Statistical Learning,
Trevor Hastie, Robert Tibshirani, Jerome Friedman
✅ Pattern Recognition and Machine Learning, Christopher M. Bishop
✅ Machine Learning: A Probabilistic Perspective, Kevin Murphy
#book #machinelearning #artificialintelligence
@pythonicAI
✅ Hands on Machine learning with scikit-learn and tensorflow, Aurélien Géron
✅ Machine Learning For Absolute Beginners: A Plain English Introduction, Oliver Theobald
✅ Understanding Machine Learning: From Theory to Algorithms, Shai Shalev-Shwartz
✅ Machine Learning with R, Brett Lantz
✅ The Singularity is Near, Ray Kurzweil
✅ Applied Artificial Intelligence: A Handbook For Business Leaders, Mariya Yao, Adelyn Zhou, Marlene Jia
✅ Deep Learning with Python, Francois Chollet
✅ The Elements of Statistical Learning,
Trevor Hastie, Robert Tibshirani, Jerome Friedman
✅ Pattern Recognition and Machine Learning, Christopher M. Bishop
✅ Machine Learning: A Probabilistic Perspective, Kevin Murphy
#book #machinelearning #artificialintelligence
@pythonicAI
Forwarded from Pythonic AI
با ساختن اکانت تو سایت
learning.oreilly.com
میتونین به مدت یک هفته خیلی از کتابهای انتشاراتهای معروف مثل packt و oreilly رو مجانی مطالعه کنین!
#book #oreilly #packt #free
.
@pythonicAI
learning.oreilly.com
میتونین به مدت یک هفته خیلی از کتابهای انتشاراتهای معروف مثل packt و oreilly رو مجانی مطالعه کنین!
#book #oreilly #packt #free
.
@pythonicAI
کتاب رایگان
Deep Learning and Computer Vision with CNNs
Link
#book #deeplearning #artificialintelligence
@pythonicAI
Deep Learning and Computer Vision with CNNs
Link
#book #deeplearning #artificialintelligence
@pythonicAI
Data Science Central
Free Book: Deep Learning and Computer Vision with CNNs
By Dan Howarth and Ajit Jaokar, October 2019. 58 pages. CNN stands for Convolutional Neural Networks. Part 1 will introduce the core concepts of Deep Learning. We will also start coding straightaway with Tensorflow 2.0. In part 2, we use another dataset –…
Top book by stuart Russell
In the popular imagination, superhuman artificial intelligence is an approaching tidal wave that threatens not just jobs and human relationships, but civilization itself. Conflict between humans and machines is seen as inevitable and its outcome all too predictable.
In this groundbreaking book, distinguished AI researcher Stuart Russell argues that this scenario can be avoided, but only if we rethink AI from the ground up. Russell begins by exploring the idea of intelligence in humans and in machines. He describes the near-term benefits we can expect, from intelligent personal assistants to vastly accelerated scientific research, and outlines the AI breakthroughs that still have to happen before we reach superhuman AI. He suggests that we can rebuild AI on a new foundation, according to which machines are designed to be inherently uncertain about the human preferences they are required to satisfy.
Link
#book #artificialintelligence
@pythonicAI
In the popular imagination, superhuman artificial intelligence is an approaching tidal wave that threatens not just jobs and human relationships, but civilization itself. Conflict between humans and machines is seen as inevitable and its outcome all too predictable.
In this groundbreaking book, distinguished AI researcher Stuart Russell argues that this scenario can be avoided, but only if we rethink AI from the ground up. Russell begins by exploring the idea of intelligence in humans and in machines. He describes the near-term benefits we can expect, from intelligent personal assistants to vastly accelerated scientific research, and outlines the AI breakthroughs that still have to happen before we reach superhuman AI. He suggests that we can rebuild AI on a new foundation, according to which machines are designed to be inherently uncertain about the human preferences they are required to satisfy.
Link
#book #artificialintelligence
@pythonicAI
Forwarded from بینام
Deep Feature Flow for Video Recognition.pdf
3.7 MB
comprehensive-guide.pdf
19.8 MB
A Comprehensive Guide to Machine Learning
By Soroush Nasiriany, Garrett Thomas, William Wang, Alex Yang
#book #machinelearning #artificialintelligence
@pythonicAi
By Soroush Nasiriany, Garrett Thomas, William Wang, Alex Yang
#book #machinelearning #artificialintelligence
@pythonicAi
HOW TO START MACHINE LEARNING
Pre-requisites:
1⃣ Programming (preferably Python) 2⃣ Linear Algebra
3⃣ Probability and Statistics
Starting Book(s):
1⃣ Pattern Recognition and Machine Learning by Chris Bishop
2⃣ Deep Learning by Goodfellow, Bengio and Courville (For starting Deep Learning)
Course(s) & Certification(s):
1⃣ Coursera Machine Learning by Andrew Ng
2⃣ Coursera Deep Learning Specialization by deeplearning.ai
3⃣ edX Machine Learning by Columbia University
#machinelearning #deeplearning #course #book #artificialintelligence
@pythonicAi
Pre-requisites:
1⃣ Programming (preferably Python) 2⃣ Linear Algebra
3⃣ Probability and Statistics
Starting Book(s):
1⃣ Pattern Recognition and Machine Learning by Chris Bishop
2⃣ Deep Learning by Goodfellow, Bengio and Courville (For starting Deep Learning)
Course(s) & Certification(s):
1⃣ Coursera Machine Learning by Andrew Ng
2⃣ Coursera Deep Learning Specialization by deeplearning.ai
3⃣ edX Machine Learning by Columbia University
#machinelearning #deeplearning #course #book #artificialintelligence
@pythonicAi
Coursera
Machine Learning by Stanford University | Coursera
Learn Machine Learning from Stanford University. Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, ...
Mathematics For Machine Learning
The table of contents breaks down as follows:
Part I: Mathematical Foundations
- Introduction and Motivation
- Linear Algebra
- Analytic Geometry
- Matrix Decompositions
- Vector Calculus
- Probability and Distribution
- Continuous Optimization
Part II: Central Machine Learning Problems
- When Models Meet Data
- Linear Regression
- Dimensionality Reduction with Principal Component Analysis
- Density Estimation with Gaussian Mixture Models
- Classification with Support Vector Machines
https://mml-book.github.io
#machinelearning #artificialintelligence #book
@pythonicAi
The table of contents breaks down as follows:
Part I: Mathematical Foundations
- Introduction and Motivation
- Linear Algebra
- Analytic Geometry
- Matrix Decompositions
- Vector Calculus
- Probability and Distribution
- Continuous Optimization
Part II: Central Machine Learning Problems
- When Models Meet Data
- Linear Regression
- Dimensionality Reduction with Principal Component Analysis
- Density Estimation with Gaussian Mixture Models
- Classification with Support Vector Machines
https://mml-book.github.io
#machinelearning #artificialintelligence #book
@pythonicAi
Forwarded from DLeX: AI Python (Farzad 🦅)
Springer Ebooks.pdf.pdf
693.5 KB
انتشارات اشپرینگر لیستی از کتابهای خود را رایگان برای دانلود گذاشته است.
جلوی هر کتاب لینک وجود دارد. روی آن کلیک کنید و دانلود کنید. در استفاده از آن به هیچ وجه تردید نکنید، خیلی از آنها بسبار گران هستند و در این ایام خاص رایگان است.
#کتاب
#book
❇️ @AI_Python
🗣 @AI_Python_arXiv
✴️ @AI_Python_EN
جلوی هر کتاب لینک وجود دارد. روی آن کلیک کنید و دانلود کنید. در استفاده از آن به هیچ وجه تردید نکنید، خیلی از آنها بسبار گران هستند و در این ایام خاص رایگان است.
#کتاب
#book
❇️ @AI_Python
🗣 @AI_Python_arXiv
✴️ @AI_Python_EN
Mathematics for Machine Learning
https://mml-book.github.io/book/mml-book.pdf
#math #machinelearning #artificialintelligence #book
@pythonicAi
https://mml-book.github.io/book/mml-book.pdf
#math #machinelearning #artificialintelligence #book
@pythonicAi
Forwarded from Pythonic AI (Soroush Hashemi far)
Mathematics for Machine Learning
https://mml-book.github.io/book/mml-book.pdf
#math #machinelearning #artificialintelligence #book
@pythonicAi
https://mml-book.github.io/book/mml-book.pdf
#math #machinelearning #artificialintelligence #book
@pythonicAi