🔷 IPM Data Science Meetup #9
▪️Cosmic Flavored Data Science
▫️By: Alireza Vafaee Sadr, Shahid Beheshti University
🕙 Thursday 06 Ordibehesht 1397, 10:00 AM
@AI_Events
▪️Cosmic Flavored Data Science
▫️By: Alireza Vafaee Sadr, Shahid Beheshti University
🕙 Thursday 06 Ordibehesht 1397, 10:00 AM
@AI_Events
Ai Events️
🔷 IPM Data Science Meetup #9 ▪️Cosmic Flavored Data Science ▫️By: Alireza Vafaee Sadr, Shahid Beheshti University 🕙 Thursday 06 Ordibehesht 1397, 10:00 AM @AI_Events
IPM-DS-M9-cosmic-flavored-data-science.pdf
6.3 MB
📗 Lecture File for IPM Data Science Meetup #9
فایل اسلایدهای نهمین میتآپ علم داده مرکز IPM با عنوان Cosmic Flavored Data Science
توسط علیرضا وفاییفرد از دانشگاه شهید بهشتی
@AI_Events
فایل اسلایدهای نهمین میتآپ علم داده مرکز IPM با عنوان Cosmic Flavored Data Science
توسط علیرضا وفاییفرد از دانشگاه شهید بهشتی
@AI_Events
#دورهمی #NLP as a Service
شرکت «تحلیل افزار مبتکر میراث» با میزبانی استارتآپ uvCloud برگزار میکند.
سهشنبه، 18 اردیبهشت از ساعت 16 الی 18:30
https://evnd.co/8MaBP
@AI_Events
شرکت «تحلیل افزار مبتکر میراث» با میزبانی استارتآپ uvCloud برگزار میکند.
سهشنبه، 18 اردیبهشت از ساعت 16 الی 18:30
https://evnd.co/8MaBP
@AI_Events
چهارمین جشنواره فناوری اطلاعات
شروع ثبت نام از اول خرداد ماه
ITWEEKEND 4
14 تیر ماه 1397
دانشگاه صنعتی شریف
مشاهده فیلم سخنرانی دوره های قبل، گزارش برگزاری دوره های قبل 🔻🔻
itweekend.ir
@AI_Events
شروع ثبت نام از اول خرداد ماه
ITWEEKEND 4
14 تیر ماه 1397
دانشگاه صنعتی شریف
مشاهده فیلم سخنرانی دوره های قبل، گزارش برگزاری دوره های قبل 🔻🔻
itweekend.ir
@AI_Events
انجمن علمی مهندسیکامپیوتر شهید بهشتی برگزار میکند:
کارگاه یادگیری ماشین
سهشنبه ۱۸ /۲ از ۱۴ الی ۱۸:۳۰
پنجشنبه ۲۰ /۲ از ۱۰ الی ۱۵
دانشکده مهندسی کامپیوتر
ثبت نام:
soce.ir
@AI_Events
کارگاه یادگیری ماشین
سهشنبه ۱۸ /۲ از ۱۴ الی ۱۸:۳۰
پنجشنبه ۲۰ /۲ از ۱۰ الی ۱۵
دانشکده مهندسی کامپیوتر
ثبت نام:
soce.ir
@AI_Events
ACM Transactions on Data Science
CALL FOR PAPERS
Editor-in-Chief
Beng Chin Ooi, National University of Singapore
Senior Associate Editors
Mike Franklin, University of Chicago
H.V. Jagadish, University of Michigan
Hong Mei, Beijing Institute of Technology and Peking University
Renée J. Miller, University of Toronto
Jeannette M. Wing, Columbia University
________________________________
Data Science relies on the massive volumes of diverse data generated from all forms of human activity and interaction with the environment to make decisions and to solve problems. Traditional methods for managing and processing data have been scaled to address its growth, but new approaches are required to deal with these heterogeneous, high velocity, very large data sources of varying quality, coverage, and semantics. There are challenges at every stage. Addressing these challenges requires innovations in a wide range of computing sub-disciplines, from computer architecture to human computer interaction, and from data analytics to recommendations. ACM Transactions on Data Science (TDS) will serve as the premier forum for describing and advancing the state of the art on this important topic.
Scope
The scope of the TDS includes cross-disciplinary innovative research ideas, algorithms, systems, theory and applications for data science. Papers that address challenges at every stage, from acquisition on, through data cleaning, transformation, representation, integration, indexing, modeling, analysis, visualization, and interpretation while retaining privacy, fairness, provenance, transparency, and provision of social benefit, within the context of big data, fall within the scope of the journal.
The objective of the journal is to provide a forum for cross-cutting research results that contribute to data science. Papers that address core technologies without clear evidence that they propose multi/cross-disciplinary technologies and approaches designed for management and processing of large volumes of data, and for data-driven decision making will be out of scope of this journal.
For further information or to submit your manunoscript, please visit https://tds.acm.org.
.
@AI_Events
CALL FOR PAPERS
Editor-in-Chief
Beng Chin Ooi, National University of Singapore
Senior Associate Editors
Mike Franklin, University of Chicago
H.V. Jagadish, University of Michigan
Hong Mei, Beijing Institute of Technology and Peking University
Renée J. Miller, University of Toronto
Jeannette M. Wing, Columbia University
________________________________
Data Science relies on the massive volumes of diverse data generated from all forms of human activity and interaction with the environment to make decisions and to solve problems. Traditional methods for managing and processing data have been scaled to address its growth, but new approaches are required to deal with these heterogeneous, high velocity, very large data sources of varying quality, coverage, and semantics. There are challenges at every stage. Addressing these challenges requires innovations in a wide range of computing sub-disciplines, from computer architecture to human computer interaction, and from data analytics to recommendations. ACM Transactions on Data Science (TDS) will serve as the premier forum for describing and advancing the state of the art on this important topic.
Scope
The scope of the TDS includes cross-disciplinary innovative research ideas, algorithms, systems, theory and applications for data science. Papers that address challenges at every stage, from acquisition on, through data cleaning, transformation, representation, integration, indexing, modeling, analysis, visualization, and interpretation while retaining privacy, fairness, provenance, transparency, and provision of social benefit, within the context of big data, fall within the scope of the journal.
The objective of the journal is to provide a forum for cross-cutting research results that contribute to data science. Papers that address core technologies without clear evidence that they propose multi/cross-disciplinary technologies and approaches designed for management and processing of large volumes of data, and for data-driven decision making will be out of scope of this journal.
For further information or to submit your manunoscript, please visit https://tds.acm.org.
.
@AI_Events
ACM Transactions on Data Science (TDS)
ACM TDS
publishes papers on cross disciplinary innovative research ideas, algorithms, systems, theory and applications for data science
Forwarded from H4E
#اخلاق_و_فناوری
#روز_دوم گردهمایی "علوم انسانی برای نخبگان"
❇️ پانل اخلاق، فناوری و هوش مصنوعی
✴️ یکشنبه، ۲۳ اردیبهشت، ساعت ۱۶، سالن خوارزمی دانشکده مهندسی کامپیوتر
🔍 @H4E97
📷 instagram.com/H4E97
#روز_دوم گردهمایی "علوم انسانی برای نخبگان"
❇️ پانل اخلاق، فناوری و هوش مصنوعی
✴️ یکشنبه، ۲۳ اردیبهشت، ساعت ۱۶، سالن خوارزمی دانشکده مهندسی کامپیوتر
🔍 @H4E97
📷 instagram.com/H4E97
سخنرانی با موضوع مقدمه ای بر Deep learning
با حضور مهندس علیرضا صادقی
هم بنیانگذار استارتاپ پوشه
یکشنبه ۳۰ اردیبهشت
ثبت نام رایگان در:
evnd.co/UmXfG
@AI_Events
با حضور مهندس علیرضا صادقی
هم بنیانگذار استارتاپ پوشه
یکشنبه ۳۰ اردیبهشت
ثبت نام رایگان در:
evnd.co/UmXfG
@AI_Events
IPM Data Science Meetup #11
The Art of Visualization
By: Dr. Amin Sadeghi, University of Tehran
Thursday 03 Khordad 1397, 10:00 AM
@AI_Events
The Art of Visualization
By: Dr. Amin Sadeghi, University of Tehran
Thursday 03 Khordad 1397, 10:00 AM
@AI_Events
Ai Events️
IPM Data Science Meetup #11 The Art of Visualization By: Dr. Amin Sadeghi, University of Tehran Thursday 03 Khordad 1397, 10:00 AM @AI_Events
🖥 Webinar ...
Can't attend this meeting at that time and in that location? No problem!
The webinar service of IPM Data Science is launched and you can attend the meetups online. 😊
To join this event, click the following link, enter a name and access the meeting as a guest.
Webinar Link: http://repo.hpc.ipm.ac.ir/ipmdsmu11
@AI_Events
Can't attend this meeting at that time and in that location? No problem!
The webinar service of IPM Data Science is launched and you can attend the meetups online. 😊
To join this event, click the following link, enter a name and access the meeting as a guest.
Webinar Link: http://repo.hpc.ipm.ac.ir/ipmdsmu11
@AI_Events
Forwarded from کارگروه کلانداده - دانشگاه صنعتی شریف
🗒 “Machine Learning with TensorFlow on Google Cloud Platform”
(new specialization on Coursera)
⏱ زمان : پنجشنبه 9 خرداد 1397
🔗 لینک ثبت نام: https://goo.gl/PqNxBc
@bigdataworkgroup
(new specialization on Coursera)
⏱ زمان : پنجشنبه 9 خرداد 1397
🔗 لینک ثبت نام: https://goo.gl/PqNxBc
@bigdataworkgroup
مدرسه تابستانی علم داده (مقدماتی)
پژوهشگاه دانشهای بنیادی با همکاری مرکز علوم داده آمستردام
9 تا 14 تیر 1397
ثبت نام و اطلاعات بیشتر در سایت
conf.ipm.ir/elementary-school
@AI_Events
پژوهشگاه دانشهای بنیادی با همکاری مرکز علوم داده آمستردام
9 تا 14 تیر 1397
ثبت نام و اطلاعات بیشتر در سایت
conf.ipm.ir/elementary-school
@AI_Events
🔷 IPM-DS Meetup #12
▪️ Signal Processing on Graphs
▫️By: Dr. Hojjat Akhondi-Asl, Powerline Tech., UK
🕙 Monday 1397/03/21, 15:00
🖥 Webinar: http://repo.hpc.ipm.ac.ir/ipmdsmu12
@AI_Events
▪️ Signal Processing on Graphs
▫️By: Dr. Hojjat Akhondi-Asl, Powerline Tech., UK
🕙 Monday 1397/03/21, 15:00
🖥 Webinar: http://repo.hpc.ipm.ac.ir/ipmdsmu12
@AI_Events
IPM Data Science Meetup #13
عنوان: Schema on Read vs Schema on Write
توسط: روزبه ترابی، مدیر عامل شرکت دادهکاوان هوشمند توسن
پنجشنبه 24 خرداد 1397 ساعت 10:00
@AI_Events
عنوان: Schema on Read vs Schema on Write
توسط: روزبه ترابی، مدیر عامل شرکت دادهکاوان هوشمند توسن
پنجشنبه 24 خرداد 1397 ساعت 10:00
@AI_Events
🔅 دومین دورهی مدرسهی تابستانی یادگیری عمیق
📆 مرداد ۱۳۹۷
🔗 اطلاعات بیشتر و ثبتنام:
http://acm.ut.ac.ir/deeplearning
@UTDeepLearning2018
@AI_Events
📆 مرداد ۱۳۹۷
🔗 اطلاعات بیشتر و ثبتنام:
http://acm.ut.ac.ir/deeplearning
@UTDeepLearning2018
@AI_Events