Reimagining Machine Learning in hardware. #BigData #DeepLearning #MachineLearning #DataScience #AI
https://buff.ly/2sZR0gV
https://buff.ly/2sZR0gV
Deep Learning Models for Genomics. #BigData #DeepLearning #MachineLearning #DataScience #AI #Genomics #HealthTech
https://buff.ly/2uD9F47
https://buff.ly/2uD9F47
(https://axnegar.fahares.com/axnegar/OwA4kjZBlHYbzw/5067016.jpg)
#معرفی کتاب_جدید در مورد یادگیری عمیق برای بیومتریک ها
🔵Book Memo: “Deep Learning for Biometrics.
This timely text/reference presents a broad overview of advanced deep learning architectures for learning effective feature representation for perceptual and biometrics-related tasks. The text offers a showcase of cutting-edge research on the use of convolutional neural networks (CNN) in face, iris, fingerprint, and vascular biometric systems, in addition to surveillance systems that use soft biometrics. Issues of biometrics security are also examined.
” #BigData #DeepLearning #MachineLearning #DataScience #AI #Books
https://buff.ly/2ttRdMK
#معرفی کتاب_جدید در مورد یادگیری عمیق برای بیومتریک ها
🔵Book Memo: “Deep Learning for Biometrics.
This timely text/reference presents a broad overview of advanced deep learning architectures for learning effective feature representation for perceptual and biometrics-related tasks. The text offers a showcase of cutting-edge research on the use of convolutional neural networks (CNN) in face, iris, fingerprint, and vascular biometric systems, in addition to surveillance systems that use soft biometrics. Issues of biometrics security are also examined.
” #BigData #DeepLearning #MachineLearning #DataScience #AI #Books
https://buff.ly/2ttRdMK
Explainable #AI = #MachineLearning techniques that produce more understandable models: https://www.darpa.mil/program/explainable-artificial-intelligence … #BigData #DataScience #xAI
Loving the Artificial Intelligence Dress is a no brainer! The pattern reveals what happens inside machine learning: https://shenovafashion.com/blogs/blog/new-artificial-intelligence-dress-design
(https://axnegar.fahares.com/axnegar/Nat7Dey9XgEHb1/5071799.jpg)
👁🗨#معرفی_محقیق_هوش_مصنوعی
#معرفی_محققین_هوش_مصنوعی_در_جهان
شما احتمالا می دانید که هوش مصنوعی چیست و همچنین می دانید در همه ی زمینه ها کاربرد دارد .اما ممکن است شما با محققان و تکنولوژیست های هوش مصنوعی آشنایی نداشته باشید.در این کانال قصد داریم با معرفی محققین و چهره های هوش مصنوعی ایران و جهان در کانال بپردازیم همراه ما باشید.
امروز محقق یا فرد دیگه ای که در زمینه ی هوش مصنوعی فعالیت میکنند اشنا می شویم .قبلا با ANDREW NG ,Andrej Karpathy اشنا شدیم .
3.Michael I. Jordan
طبق گفته سایت FastML مایکل جردن یک متخصص مشهور از برکلی است.مایکل در مدل های گرافیکی احتمالی، روش های طیفی، پردازش زبان طبیعی، ژنتیک آماری بیشتر تمرکز می کند.او همچنین یکی از افرادی است که برای اولین بار روش هایی را که آمار و یادگیری ماشین با هم همپوشانی می کنند به ارمغان آورد.
🌎🔥اندرو نگ (ANDREW NG ) خود در دنیای یادگیری ماشین مشهور است یکی از شاگرادن مایکل جردن است .
🔵Biography
Michael I. Jordan is the Pehong Chen Distinguished Professor in the Department of Electrical Engineering and Computer Science and the Department of Statistics at the University of California, Berkeley.
His research interests bridge the computational, statistical, cognitive and biological sciences, and have focused in recent years on Bayesian nonparametric analysis, probabilistic graphical models, spectral methods, kernel machines and applications to problems in distributed computing systems, natural language processing, signal processing and statistical genetics. Prof. Jordan is a member of the National Academy of Sciences, a member of the National Academy of Engineering and a member of the American Academy of Arts and Sciences. He is a Fellow of the American Association for the Advancement of Science. He has been named a Neyman Lecturer and a Medallion Lecturer by the Institute of Mathematical Statistics. He received the IJCAI Research Excellence Award in 2016, the David E. Rumelhart Prize in 2015 and the ACM/AAAI Allen Newell Award in 2009. He is a Fellow of the AAAI, ACM, ASA, CSS, IEEE, IMS, ISBA and SIAM.
وب سایت شخصی :
https://people.eecs.berkeley.edu/~jordan/?_ga=1.104786372.57480868.1488216728
https://www2.eecs.berkeley.edu/Faculty/Homepages/jordan.html
محقق مایکل جردن برنده 100،000 دلار جایزه رومانهارت برای علم شناختی
https://news.berkeley.edu/2014/07/28/michael-jordan-wins-rumelhart-prize/
مقالات
https://scholar.google.com/citations?user=yxUduqMAAAAJ
https://www.researchgate.net/profile/Michael_Jordan13
مصاحبه ای با مایکل جردن
https://www.reddit.com/r/MachineLearning/comments/2fxi6v/ama_michael_i_jordan/
https://cmsa.fas.harvard.edu/bigdata_michaeljordan/
🔵On Computational Thinking, Inferential Thinking and Data Science
https://www.youtube.com/watch?v=bQ02K0kWKzg
🔵DEI Distinguished Lecturer Series - Michael I. Jordan
https://www.youtube.com/watch?v=Cq6xGNcYe-8
https://www.oreilly.com/ideas/ray-a-distributed-execution-framework-for-emerging-ai-applications
👁🗨#معرفی_محقیق_هوش_مصنوعی
#معرفی_محققین_هوش_مصنوعی_در_جهان
شما احتمالا می دانید که هوش مصنوعی چیست و همچنین می دانید در همه ی زمینه ها کاربرد دارد .اما ممکن است شما با محققان و تکنولوژیست های هوش مصنوعی آشنایی نداشته باشید.در این کانال قصد داریم با معرفی محققین و چهره های هوش مصنوعی ایران و جهان در کانال بپردازیم همراه ما باشید.
امروز محقق یا فرد دیگه ای که در زمینه ی هوش مصنوعی فعالیت میکنند اشنا می شویم .قبلا با ANDREW NG ,Andrej Karpathy اشنا شدیم .
3.Michael I. Jordan
طبق گفته سایت FastML مایکل جردن یک متخصص مشهور از برکلی است.مایکل در مدل های گرافیکی احتمالی، روش های طیفی، پردازش زبان طبیعی، ژنتیک آماری بیشتر تمرکز می کند.او همچنین یکی از افرادی است که برای اولین بار روش هایی را که آمار و یادگیری ماشین با هم همپوشانی می کنند به ارمغان آورد.
🌎🔥اندرو نگ (ANDREW NG ) خود در دنیای یادگیری ماشین مشهور است یکی از شاگرادن مایکل جردن است .
🔵Biography
Michael I. Jordan is the Pehong Chen Distinguished Professor in the Department of Electrical Engineering and Computer Science and the Department of Statistics at the University of California, Berkeley.
His research interests bridge the computational, statistical, cognitive and biological sciences, and have focused in recent years on Bayesian nonparametric analysis, probabilistic graphical models, spectral methods, kernel machines and applications to problems in distributed computing systems, natural language processing, signal processing and statistical genetics. Prof. Jordan is a member of the National Academy of Sciences, a member of the National Academy of Engineering and a member of the American Academy of Arts and Sciences. He is a Fellow of the American Association for the Advancement of Science. He has been named a Neyman Lecturer and a Medallion Lecturer by the Institute of Mathematical Statistics. He received the IJCAI Research Excellence Award in 2016, the David E. Rumelhart Prize in 2015 and the ACM/AAAI Allen Newell Award in 2009. He is a Fellow of the AAAI, ACM, ASA, CSS, IEEE, IMS, ISBA and SIAM.
وب سایت شخصی :
https://people.eecs.berkeley.edu/~jordan/?_ga=1.104786372.57480868.1488216728
https://www2.eecs.berkeley.edu/Faculty/Homepages/jordan.html
محقق مایکل جردن برنده 100،000 دلار جایزه رومانهارت برای علم شناختی
https://news.berkeley.edu/2014/07/28/michael-jordan-wins-rumelhart-prize/
مقالات
https://scholar.google.com/citations?user=yxUduqMAAAAJ
https://www.researchgate.net/profile/Michael_Jordan13
مصاحبه ای با مایکل جردن
https://www.reddit.com/r/MachineLearning/comments/2fxi6v/ama_michael_i_jordan/
https://cmsa.fas.harvard.edu/bigdata_michaeljordan/
🔵On Computational Thinking, Inferential Thinking and Data Science
https://www.youtube.com/watch?v=bQ02K0kWKzg
🔵DEI Distinguished Lecturer Series - Michael I. Jordan
https://www.youtube.com/watch?v=Cq6xGNcYe-8
https://www.oreilly.com/ideas/ray-a-distributed-execution-framework-for-emerging-ai-applications
Brain inspired Chips - Neuromorphic Computing
#AI #BigData #wearables #DataScience
#fintech #Insurtech
https://bit.ly/2sDgFwA
#AI #BigData #wearables #DataScience
#fintech #Insurtech
https://bit.ly/2sDgFwA
LONDON DEEP LEARNING IN RETAIL & ADVERTISING SUMMIT, DAY 1 HIGHLIGHTS https://dlvr.it/PTKJKz
Tracking humans in 3-D with off-the-shelf webcams https://scienmag.com/?p=1545465
Video and Paper :https://gvv.mpi-inf.mpg.de/projects/VNect/
Video and Paper :https://gvv.mpi-inf.mpg.de/projects/VNect/
آموزش یادگیری ماشین با اندرو جی تاریخ شروع 10 جولای
Machine Learning (Coursera) https://bit.ly/2sCZE5p #ai #ml #dl https://t.iss.one/ArtificialIntelligenceArticles
Machine Learning (Coursera) https://bit.ly/2sCZE5p #ai #ml #dl https://t.iss.one/ArtificialIntelligenceArticles
Using Computer Vision to Prepare Images for Text Extraction https://www.linkedin.com/pulse/using-computer-vision-prepare-images-text-extraction-amer-agovic
Deep Learning Engineer - CNN, GPU, Python, C++, Save Lives! - CyberCoders - Los Angeles, CA - 07-0... https://bit.ly/2t1FvW2 #ai #ml #dl
Career of the Future: Robot Psychologist
Engineers are using cognitive psychology to figure out how AIs think and make them more accountable https://bit.ly/2tWSxZH #ai #ml #dl
Engineers are using cognitive psychology to figure out how AIs think and make them more accountable https://bit.ly/2tWSxZH #ai #ml #dl
Machine Learning For Policy Makers. #BigData #MachineLearning #DataScience #AI #CyberSecurity #Python
https://buff.ly/2twKXDQ
https://buff.ly/2twKXDQ
Learning about the world through video https://buff.ly/2sS58xp #deeplearning #video #machinelearning
Customer Lifetime Value Prediction Using Embeddings. #BigData #MachineLearning #DataScience #AI #TensorFlow #CX
https://buff.ly/2twtATU
https://buff.ly/2twtATU
Has #Apple's iPhone facial recognition system been revealed? https://www.dailymail.co.uk/sciencetech/article-4672934/Has-Apple-s-facial-recognition-revealed.html … #biometrics #AI #ML
Measuring and predicting neighborhood changes with #machinelearning https://mitsha.re/IijG30drnr9
"Spatial and Angular Resolution Enhancement of Light Fields Using Convolutional Neural Networks," Gul/Gunturk: https://arxiv.org/abs/1707.00815