یه کانال خوب، اگه دوس دارین ماشین لرنینگ رو به زبان فارسی یادبگیرین:
http://t.me/Ai_Lessons
🔭 @DeepGravity
http://t.me/Ai_Lessons
🔭 @DeepGravity
Telegram
AI Lessons + Business Lessons
آموزش هوش مصنوعی و تجارت با نگاهی عمیق!
پشتیبانی: @Your_AI_Support
پشتیبانی: @Your_AI_Support
سلام دوستان
گروهی برای این کانال راهاندازی شده به نام "آنچه امروز یاد گرفتم". هدف از این گروه تبادل نظر و یا طرح پرسش و پاسخ در زمینهی ماشین لرنینگ اصلا "نیست". به نظر میرسد که اسم گروه به تنهایی گویای همه چیز باشد. اما برای روشن شدن بیشتر موضوع به این مثال ساده دقت کنید.
این مثال صرفا یک مثال ساده بود که نحوهی به اشتراک گذاری آنچه که آموختهاید را نشان دهد.
قوانینی در مورد نحوهی تعاملات در گروه وجود دارد که در گروه توضیح داده میشود.
با امید اینکه روش مفیدی برای انتقال تجربیات و یافتهها بین همهی شما دوستان گرامی باشد.
ارادتمند
لینک گروه:
@DeepGravity_IveLearned
گروهی برای این کانال راهاندازی شده به نام "آنچه امروز یاد گرفتم". هدف از این گروه تبادل نظر و یا طرح پرسش و پاسخ در زمینهی ماشین لرنینگ اصلا "نیست". به نظر میرسد که اسم گروه به تنهایی گویای همه چیز باشد. اما برای روشن شدن بیشتر موضوع به این مثال ساده دقت کنید.
این مثال صرفا یک مثال ساده بود که نحوهی به اشتراک گذاری آنچه که آموختهاید را نشان دهد.
قوانینی در مورد نحوهی تعاملات در گروه وجود دارد که در گروه توضیح داده میشود.
با امید اینکه روش مفیدی برای انتقال تجربیات و یافتهها بین همهی شما دوستان گرامی باشد.
ارادتمند
لینک گروه:
@DeepGravity_IveLearned
PhD Opportunity at The University of
Melbourne, Infrastructure Department
Dr Negin Yousefpour
Email:
negin.yousefpour@unimelb.edu.au
🔭 @DeepGravity
Melbourne, Infrastructure Department
Dr Negin Yousefpour
Email:
negin.yousefpour@unimelb.edu.au
🔭 @DeepGravity
And now a creative AI for brewing
https://www.linkedin.com/feed/update/urn:li:activity:6718959552512974848/
🔭 @DeepGravity
https://www.linkedin.com/feed/update/urn:li:activity:6718959552512974848/
🔭 @DeepGravity
Linkedin
Reza Kakooee on LinkedIn: Prost! Künstliche Intelligenz kreiert Bier
And now a creative AI for brewing: https://brauer.ai/
A great work by some of my colleagues: Marc Bravin
See the news here: https://lnkd.in/d5YYen9
...
A great work by some of my colleagues: Marc Bravin
See the news here: https://lnkd.in/d5YYen9
...
Forwarded from Apply Time Positions
‼️ 🎓 7 PhD positions in Computer Vision and Machine Learning, University of Amsterdam, #Netherlands
💶 €2,395 to €3,061 gross per month
⏳Deadline: December, 1st, 2020
🔗 link to the position
🔍 More positions: @ApplyTime_positions
🔰اپلایتایم را به دوستان خود معرفی کنید
✔️ @ApplyTime
🌐 https://applytime.ir
💶 €2,395 to €3,061 gross per month
⏳Deadline: December, 1st, 2020
🔗 link to the position
🔍 More positions: @ApplyTime_positions
🔰اپلایتایم را به دوستان خود معرفی کنید
✔️ @ApplyTime
🌐 https://applytime.ir
Forwarded from Apply Time Positions
🎓 Researcher in Machine Learning and AI for/against network security, OsloMet – Oslo Metropolitan University, #Norway
📚 Fields: #Algorithms #ArtificialIntelligence #ArtificialNeuralNetwork #ComputerCommunicationsNetworks #CyberSecurity #MachineLearning
⏳ Deadline: 2021-06-15
🔗 Link to the position
🔍 More positions
✔ @ApplyTime
🌐 https://applytime.ir
📚 Fields: #Algorithms #ArtificialIntelligence #ArtificialNeuralNetwork #ComputerCommunicationsNetworks #CyberSecurity #MachineLearning
⏳ Deadline: 2021-06-15
🔗 Link to the position
🔍 More positions
✔ @ApplyTime
🌐 https://applytime.ir
Forwarded from Apply Time Positions
🎓 Researcher in AI and Deepfake, OsloMet – Oslo Metropolitan University, #Norway
📚 Fields: #Algorithms #ArtificialIntelligence #ArtificialNeuralNetwork #MachineLearning #ComputerVision
⏳ Deadline: 2021-06-15
🔗 Link to the position
🔍 More positions
✔ @ApplyTime
🌐 https://applytime.ir
📚 Fields: #Algorithms #ArtificialIntelligence #ArtificialNeuralNetwork #MachineLearning #ComputerVision
⏳ Deadline: 2021-06-15
🔗 Link to the position
🔍 More positions
✔ @ApplyTime
🌐 https://applytime.ir
اگه علاقهمند به ماشین لرنینگ و نوروساینس هستین، پیشنهاد میکنم که حتما از این رویداد دیدن کنین:
Neuromatch Academy
https://academy.neuromatch.io/
https://deeplearning.neuromatch.io/tutorials/intro.html
ویدئوها و کدها هم در دسترس عموم قرار داره.
🔭 @DeepGravity
Neuromatch Academy
https://academy.neuromatch.io/
https://deeplearning.neuromatch.io/tutorials/intro.html
ویدئوها و کدها هم در دسترس عموم قرار داره.
🔭 @DeepGravity
Neuromatch
Neuroscience - Neuromatch
What is Neuromatch Academy? We provide research education and training in computational neuroscience that is crucial for success in both academia and industry. We do this through live courses, interactive projects, professional development, networking, and…
Postdoc in Hybrid ML/Physical Modelling for Earth Science
The Model-Driven Machine Learning group @ Hereon is hiring a Postdoc (deadline Aug. 29).
We use deep learning to build faster and more accurate climate and weather models, generate forecasts and quantify uncertainty. We draw from and contribute to ongoing ML research, and adapt new ML techniques to the scale of computation and data in Earth science.
This position is designed for a curious and driven individual to focus on challenging and impactful research, supported by on-site interdisciplinary expertise and top-notch computational resources, with minimal administrative or teaching duties. The ideal candidate has strong ML expertise, with knowledge of numerical PDE integration and geoscientific modelling welcome but not essential. However, geoscientists with experience and a publication record in ML are also encouraged to apply.
We're based at the Institute of Coastal Research on the Hereon campus in Geesthacht near Hamburg, Germany and part of the helmholtz.ai initiative. Hamburg is a vibrant international hub for music, art and culture and among the world’s most livable cities.
Apply online at https://www.hereon.de/career/vacancies/020565/index.php.de
For more info see m-dml.org or contact david.greenberg@hereon.de.
🔭 @DeepGravity
The Model-Driven Machine Learning group @ Hereon is hiring a Postdoc (deadline Aug. 29).
We use deep learning to build faster and more accurate climate and weather models, generate forecasts and quantify uncertainty. We draw from and contribute to ongoing ML research, and adapt new ML techniques to the scale of computation and data in Earth science.
This position is designed for a curious and driven individual to focus on challenging and impactful research, supported by on-site interdisciplinary expertise and top-notch computational resources, with minimal administrative or teaching duties. The ideal candidate has strong ML expertise, with knowledge of numerical PDE integration and geoscientific modelling welcome but not essential. However, geoscientists with experience and a publication record in ML are also encouraged to apply.
We're based at the Institute of Coastal Research on the Hereon campus in Geesthacht near Hamburg, Germany and part of the helmholtz.ai initiative. Hamburg is a vibrant international hub for music, art and culture and among the world’s most livable cities.
Apply online at https://www.hereon.de/career/vacancies/020565/index.php.de
For more info see m-dml.org or contact david.greenberg@hereon.de.
🔭 @DeepGravity
PhD Position: PV forecasting with neural networks BFH/ETH
100 % / Limited for 4 years / Biel / Start by arrangement
To start with, here are some of our strong points
Plenty of contact with eager young people from all over the world who are set on achieving things.
Great freedom in work organisation with lots of leeway for your ideas, your creativity and decisiveness.
Focus on research that is geared towards practical orientation and the education of committed people rather than mere profit maximisation.
Work place in prime location with excellent access.
National and international networks and contacts with business, economy, society and the political world.
And here are even more good reasons to opt for BFH
What you'll be doing here
Conduct doctoral research at Bern University of Applied Sciences and ETH Zurich
Develop an optical-flow machine-learning framework for short-term prediction of the solar resource and the photovoltaic power generation with lead times of up to several hours
Combine ground and satellite measurements to validate the developed machine learning framework and estimate associated uncertainties
Work in a stimulating research environment, and present and publish your results in high-profile journals and conferences
Bern University of Applied Sciences and ETH Zurich are leading universities in science and technology renowned for excellent research, education, and cutting-edge innovation
What you'll bring with you
Master degree in Computer Science, Computer Vision, Machine Learning, Statistics, Engineering, Physics, or a related field
Strong background in machine learning and excellent analytical skills; Excellent programming skills, proficiency in Python; Proficiency in written and spoken English
Good proficiency in state-of-the-art libraries for machine learning or computer vision; highly motivated demonstrate strong ambition for excellence and enthusiasm for research
Please include your CV, copy of master thesis, academic trannoscript incl. list of completed courses, contact details of two referees;
and a brief denoscription of your project idea (max. 2 pages) that relates to your experience and the relevant literature
https://jobs.bfh.ch/offene-stellen/phd-position-pv-forecasting-with-neural-networks-bfh-eth/9bab4400-546b-42fb-a960-399ea7ec1c55
🔭 @DeepGravity
100 % / Limited for 4 years / Biel / Start by arrangement
To start with, here are some of our strong points
Plenty of contact with eager young people from all over the world who are set on achieving things.
Great freedom in work organisation with lots of leeway for your ideas, your creativity and decisiveness.
Focus on research that is geared towards practical orientation and the education of committed people rather than mere profit maximisation.
Work place in prime location with excellent access.
National and international networks and contacts with business, economy, society and the political world.
And here are even more good reasons to opt for BFH
What you'll be doing here
Conduct doctoral research at Bern University of Applied Sciences and ETH Zurich
Develop an optical-flow machine-learning framework for short-term prediction of the solar resource and the photovoltaic power generation with lead times of up to several hours
Combine ground and satellite measurements to validate the developed machine learning framework and estimate associated uncertainties
Work in a stimulating research environment, and present and publish your results in high-profile journals and conferences
Bern University of Applied Sciences and ETH Zurich are leading universities in science and technology renowned for excellent research, education, and cutting-edge innovation
What you'll bring with you
Master degree in Computer Science, Computer Vision, Machine Learning, Statistics, Engineering, Physics, or a related field
Strong background in machine learning and excellent analytical skills; Excellent programming skills, proficiency in Python; Proficiency in written and spoken English
Good proficiency in state-of-the-art libraries for machine learning or computer vision; highly motivated demonstrate strong ambition for excellence and enthusiasm for research
Please include your CV, copy of master thesis, academic trannoscript incl. list of completed courses, contact details of two referees;
and a brief denoscription of your project idea (max. 2 pages) that relates to your experience and the relevant literature
https://jobs.bfh.ch/offene-stellen/phd-position-pv-forecasting-with-neural-networks-bfh-eth/9bab4400-546b-42fb-a960-399ea7ec1c55
🔭 @DeepGravity