❇️ در اینجا میتوانید با زمینه های کاری فیزیک و هوش مصنوعی دانشگاه ام آی تی آشنا شوید:

💠 Physics-AI opportunities at MIT

🌍 https://super-ms.mit.edu/physics-ai.html

💠 From Dark Matter to Galaxies with Convolutional Networks

🌍 https://arxiv.org/abs/1902.05965#

#paper #darkmatter #physics #cnn

‍‍ ‍‍ 💎 How To Learn Faster
❇️ https://www.youtube.com/watch?time_continue=4&v=B9SptdjpJBQ

🔹 (1) Skip the Laptop
🔹 (2) Study-Sleep-Study
🔹 (3) Modify Practice
🔹 (4) Get Some Exercise
🔹 (5) Mnemonic Device
🔹 (6) Say It out Loud
🔹 (7) Stay Hydrated
🔹(8) Reward Yourself


❇️ Get smart with Brilliant: https://brilliant.org/asapscience

💠 One Model to Rule Them All

❇️ The machine learning community focuses too much on predictive performance. But machine learning models are always a small part of a complex system. This post discusses our obsession with finding the best model and emphasizes what we should do instead: Take a step back and see the bigger picture in which the machine learning model is embedded.

🌍 https://bentoml.com/posts/2019-04-19-one-model/

#understanding_ml

❇️ A Holiday For Celebrating Women In Mathematics

🌍 https://science.clemson.edu/dinamics/a-holiday-for-celebrating-women-in-mathematics/

“At the 2018 World Meeting for Women in Mathematics, (WM)^2 held in Rio de Janeiro, Brazil, the Women’s Committee of the Iranian Mathematical Society proposed ➡️ designating Maryam Mirzakhani’s birthday (May 12) as a day for celebrating women in mathematics⬅️.
The proposal was approved.” Read more about the holiday here.

I (Adrian) was interviewed on the Super Data Science podcast. Check it out!

Real quick — Kirill Eremenko from Super Data Science just dropped an interview with me (Adrian) where we talk computer vision and deep learning.

Inside the podcast we discuss:

❇️ Libraries used for CV and DL
❇️ Medical applications of CV and DL
❇️ Embedded CV and DL
❇️ Self-driving cars (and issues related to legislation, adoption rate, and mindset change required for massive adoption)
❇️ The future of CV and DL
❇️ How to get your start in CV and DL
...and much more!

🌍 https://t.dripemail2.com/c/eyJhY2NvdW50X2lkIjoiNDc2ODQyOSIsImRlbGl2ZXJ5X2lkIjoiNjI5NDc1NTg1NSIsInVybCI6Imh0dHBzOi8vd3d3LnN1cGVyZGF0YXNjaWVuY2UuY29tL3BvZGNhc3QvZGl2aW5nLWludG8tY29tcHV0ZXItdmlzaW9uP19fcz1kdHhyZnBncTVhenpmMXV4em5paCJ9

💠 نکات ضروری درس یادگیری عمیق ارائه شده توسط اندرو ان جی در وبسایت کورسرا در ۲۸ صفحه
❇️ گرد آوری: تس فرناندز

💠 Essential Notes (28 Pages) - Coursera Deep Learning Course by Andrew Ng -
❇️ by: Tess Ferrandez

سلام، پاسخ ناشر محترم O'Reilly در جواب درخواست کسب مجوز ترجمه به زبان پارسی کتاب:

❇️ Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
❇️ by Aurélien Géron

💠 فعلا اجازه ترجمه نسخه انتشار اولیه ویرایش دوم کتاب به زبان پارسی و انتشار الکترونیکی آن ترجمه را داده اند.
💠 ان شالله برای چاپ فیزیکی ترجمه کتاب هم از این نشر مجوز لازم را خواهیم گرفت.

——————————————————————

Dear Esmaeel,

We are pleased to grant you the non-exclusive right to post a Persian (Farsi) translation of the text of Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow, 2nd Edition to your website; however, it must be posted in a way that prevents users from making any edits. You will need to cite the material as being a translation of the English edition and it must reflect that it is the “Early Release” and should provide the link to this page (https://learning.oreilly.com/library/view/hands-on-machine-learning/9781492032632/).

We would encourage you to update the translation once its final edited version is available which is estimated to be later this summer.

You may display the English language cover in your post but you may not display any O’Reilly branding or logos separately from that image. Once you have posted your translation, please forward the link for our records.

This authorization is valid for 2 years from today's date and may be renewed upon O'Reilly's prior written or email consent.

Best Regards,

Teri Finn
O'Reilly Media, Inc.

❇️ چرافیزیکدانان فکر میکنند "نظریه ریسمان" ممکن است "نظریه همه چیز" باشد.

🌍 https://medium.com/starts-with-a-bang/this-is-why-physicists-think-string-theory-might-be-our-theory-of-everything-d4a653e15bf9

❇️ لیست برگه های تقلب هوش مصنوعی، شبکه های عصبی، یادگیری ماشین، یادگیری عمیق و کلان داده 👆👆


❇️ Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data
The Most Complete List of Best AI Cheat Sheets

🌍 https://becominghuman.ai/cheat-sheets-for-ai-neural-networks-machine-learning-deep-learning-big-data-678c51b4b463

💠 مجموعه منابع برای یادگیری هوش مصنوعی / یادگیری ماشین / استنتاج آماری / یادگیری عمیق / یادگیری تقویتی

💠 Selection of resources to learn Artificial Intelligence / Machine Learning / Statistical Inference / Deep Learning / Reinforcement Learning

🌍 https://github.com/memo/ai-resources
🌍 https://medium.com/artists-and-machine-intelligence/selection-of-resources-to-learn-artificial-intelligence-machine-learning-statistical-inference-23bc56ba655

❇️ کدام ابزار BI برای کسب و کار شما مناسب است؟ برای فهمیدن آن آخرین گزارش G2 Crowd را دانلود کنید.

❇️ Which BI tool is right for your business? Download the latest G2 Crowd Report free to find out.

🌍 https://www.g2.com/reports/grid-report-for-business-intelligence-platforms-winter-2019?secure%5Bexpires_at%5D=2019-05-10+02%3A41%3A17+-0500&secure%5Bgated_consumer%5D=0e6c8298-2a91-4da8-a93c-24bc34c9bf37&secure%5Btoken%5D=b190a25479081c2e58149c90b1948ecdbb2552c41cd3ce1f16a26233f5d51063&tab=grid

❇️ Medical Augmented Reality (AR) Summer School 2019
❇️ Application open now

From 5 to 16 August 2019, Balgrist Campus will carry out the Medical AR Summer School. This exciting event will teach a new generation of scientists the basics, challenges and recent advantages of Augmented Reality in medicine. The aim is to strengthen the connection between clinic, research and industry.

🌍 Apply here: https://www.medicalaugmentedreality.org

In collaboration with:
🔶 Technische Universität München
🔶 Universität Zürich | University of Zurich (HMZ)
🔶 The Johns Hopkins University
🔶 Comerge AG

#data_science_resources
❇️ پایه های علم داده

❇️ Foundations of Data Science
🌍 https://www.microsoft.com/en-us/research/video/foundations-of-ds/?OCID=msr_project_datascibook_tw

❇️ هرس کردن شبکه های عصبی عمیق برای کوچکتر و سریعتر کردن آنها

💎 Getting faster/smaller networks is important for running these deep learning networks on mobile devices.

❇️ Pruning neural networks is an old idea going back to 1990 (with Yan Lecun’s optimal brain damage work) and before. The idea is that among the many parameters in the network, some are redundant and don’t contribute a lot to the output.
If you could rank the neurons in the network according to how much they contribute, you could then remove the low ranking neurons from the network, resulting in a smaller and faster network.

🌍 https://jacobgil.github.io/deeplearning/pruning-deep-learning?fbclid=IwAR3ZSMpUenU0XzMKhcexEh8rRZvdpImAg4xp93syrjkq3SbHaKPgq0OKoAE

‍‍ ‍‍ ‍‍ ‍‍ 🎥 حجم این ویدئو کمی زیاد است ولی ارزش دیدن دارد، حتما آن را ببینید بر دیدگاهتان در زندگی و کار علمی تاثیر خواهد گذاشت 👇👇

💎💎لذت دانستن چیزها💎💎

این مستند بسیار پرمحتوا و ارزشمندی ست که در آن ریچارد فیلیپ فاینمن یکی از بزرگترین فیزیکدانان قرن بیستم درباره "لذت دانستن چیزها" صجبت می کند و اینکه خود او چگونه در ارتباطی بسیار نزدیک و عمیق با پدرش به "دانستن چیزها" علاقه مند شده است و
💠 تفاوت دانستن نام چیزی و دانستن خود آن چیز 💠
را دریافته است.

❇️ در اینترنت برای زیرنویس فارسی یا انگلیسی آن جستجوهایی کردم ولی چیزی نیافتم، اگر کسی زیرنویس فارسی یا انگلیسی این مستند را دارد لطفا آن را به اشتراک بگذارد.