#خبر
For the first time ever, #NumPy—a core project for the #Python scientific computing stack—has received #grant funding. The proposal, “Improving NumPy for Better Data Science” will receive $645,020 from the Moore Foundation over 2 years, with the funding going to UC Berkeley Institute for Data Science.
https://www.numfocus.org/blog/numpy-receives-first-ever-funding-thanks-to-moore-foundation/
🙏Thanks to: @cyberbully_gng
For the first time ever, #NumPy—a core project for the #Python scientific computing stack—has received #grant funding. The proposal, “Improving NumPy for Better Data Science” will receive $645,020 from the Moore Foundation over 2 years, with the funding going to UC Berkeley Institute for Data Science.
https://www.numfocus.org/blog/numpy-receives-first-ever-funding-thanks-to-moore-foundation/
🙏Thanks to: @cyberbully_gng
NumFOCUS
NumPy receives first ever funding, thanks to Moore Foundation - NumFOCUS
For the first time ever, NumPy—a core project for the Python scientific computing stack—has received grant funding. The proposal, “Improving NumPy for Better Data Science” will receive $645,020 from the Moore Foundation over 2 years, with the funding going…
#کورس #ویدیو
معرفی کورس جبرخطی عددی برای برنامه نویسان
Computational Linear Algebra for Coders
این کورس در سال ۲۰۱۷ در دانشگاه San Francisco توسط Rachel Thomas تدریس شد.
Rachel Thomas
دکترای ریاضی دارند و به همراه jeremy howard ,
Fast.ai
رو ایجاد کردند.
course review:
https://machinelearningmastery.com/computational-linear-algebra-coders-review/
کتاب آنلاین:
https://github.com/fastai/numerical-linear-algebra/blob/master/README.md
ویدیوها:
https://www.youtube.com/playlist?list=PLtmWHNX-gukIc92m1K0P6bIOnZb-mg0hY
The course uses #Python with examples using #NumPy, #scikit_learn, #numba, #pytorch, and more.
Course Contests
0. Course Logistics
1. Why are we here?
2. Topic Modeling with NMF and SVD
3. Background Removal with Robust PCA
4. Compressed Sensing with Robust Regression
5. Predicting Health Outcomes with Linear Regressions
6. How to Implement Linear Regression
7. PageRank with Eigen Decompositions
8. Implementing QR Factorization
معرفی کورس جبرخطی عددی برای برنامه نویسان
Computational Linear Algebra for Coders
این کورس در سال ۲۰۱۷ در دانشگاه San Francisco توسط Rachel Thomas تدریس شد.
Rachel Thomas
دکترای ریاضی دارند و به همراه jeremy howard ,
Fast.ai
رو ایجاد کردند.
course review:
https://machinelearningmastery.com/computational-linear-algebra-coders-review/
کتاب آنلاین:
https://github.com/fastai/numerical-linear-algebra/blob/master/README.md
ویدیوها:
https://www.youtube.com/playlist?list=PLtmWHNX-gukIc92m1K0P6bIOnZb-mg0hY
The course uses #Python with examples using #NumPy, #scikit_learn, #numba, #pytorch, and more.
Course Contests
0. Course Logistics
1. Why are we here?
2. Topic Modeling with NMF and SVD
3. Background Removal with Robust PCA
4. Compressed Sensing with Robust Regression
5. Predicting Health Outcomes with Linear Regressions
6. How to Implement Linear Regression
7. PageRank with Eigen Decompositions
8. Implementing QR Factorization
MachineLearningMastery.com
Computational Linear Algebra for Coders Review - MachineLearningMastery.com
Numerical linear algebra is concerned with the practical implications of implementing and executing matrix operations in computers with real data.
It is an area that requires some previous experience of linear algebra and is focused on both the performance…
It is an area that requires some previous experience of linear algebra and is focused on both the performance…