Forwarded from ziSTartup
CB-Insights_AI-Trends-2019-iotreport.pdf
5.7 MB
❇️ How to Accelerate Data Labeling and Deep Learning Training
💠 Thursday, June 27, 2019 · 11:00 AM · Pacific Time (US & Canada)
🌍 https://www.cloudfactory.com/webinar/accelerate-data-labeling-dl-training?utm_medium=email&utm_campaign=CF_ML_Webinar&utm_term=MissingLink&utm_source=ML_email
💠 Thursday, June 27, 2019 · 11:00 AM · Pacific Time (US & Canada)
🌍 https://www.cloudfactory.com/webinar/accelerate-data-labeling-dl-training?utm_medium=email&utm_campaign=CF_ML_Webinar&utm_term=MissingLink&utm_source=ML_email
Cloudfactory
How to Accelerate Data Labeling and DL Training | CloudFactory Webinar
Developing high-performance deep learning models for computer vision requires a strategic combination of people, tools, and processes in pre-production. Watch the webinar to learn how to accelerate data labeling and DL training.
کل کتاب
💠 Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow💎SECOND EDITION💎
Concepts, Tools, and Techniques to Build Intelligent Systems
❇️ by: Aurélien Géron
برای ترجمه پوشش داده شده است.
با تشکر از همه عزیزانی که در این ترجمه شرکت کرده اند. 😊👍🙏🌺
💠 Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow💎SECOND EDITION💎
Concepts, Tools, and Techniques to Build Intelligent Systems
❇️ by: Aurélien Géron
برای ترجمه پوشش داده شده است.
با تشکر از همه عزیزانی که در این ترجمه شرکت کرده اند. 😊👍🙏🌺
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❇️ Argo.ai has released a very cool new dataset called Argoverse which can be used for computer vision/ML research and in particular to advance self-driving cars technology.
The datasets includes:
- Two HD maps with total 290km of mapped roadway (Miami & Pittsburgh)
- 3D tracking annotations for 113 scenes with 11,319 tracked objects
- 327,793 interesting vehicle trajectories from 1000 driving hours which is useful for motion forecasting
- An API to connect the map data with sensor information
Check it out!
📝 Article: https://lnkd.in/dJFeRFK
🚗 Dataset: https://lnkd.in/dqCTwf2
🔤 Github: https://lnkd.in/daay-ze
The datasets includes:
- Two HD maps with total 290km of mapped roadway (Miami & Pittsburgh)
- 3D tracking annotations for 113 scenes with 11,319 tracked objects
- 327,793 interesting vehicle trajectories from 1000 driving hours which is useful for motion forecasting
- An API to connect the map data with sensor information
Check it out!
📝 Article: https://lnkd.in/dJFeRFK
🚗 Dataset: https://lnkd.in/dqCTwf2
🔤 Github: https://lnkd.in/daay-ze
0.pdf
1.1 MB
❇️ Python for Data Analysis (47 pages) 💠 Katia Oleinikو Boston University
❇️ The 3rd YouTube-8M Video Understanding Challenge
💠 Temporal localization of topics within video
🌍 https://www.kaggle.com/c/youtube8m-2019?utm_medium=email&utm_source=intercom&utm_campaign=YT8-comp-mailer
💠 Temporal localization of topics within video
🌍 https://www.kaggle.com/c/youtube8m-2019?utm_medium=email&utm_source=intercom&utm_campaign=YT8-comp-mailer
Kaggle
The 3rd YouTube-8M Video Understanding Challenge
Temporal localization of topics within video
❇️ From Physics to Finance: My First Year in Industry
💠 by: Shoresh Shafei, Data Scientist at Google
🌍 https://www.linkedin.com/pulse/from-physics-finance-my-first-year-industry-shoresh-shafei/
💠 by: Shoresh Shafei, Data Scientist at Google
🌍 https://www.linkedin.com/pulse/from-physics-finance-my-first-year-industry-shoresh-shafei/
LinkedIn
From Physics to Finance: My First Year in Industry
Many graduate and postdocs pursue non-research careers in Industry. This is the story of one of them.
❇️ The Death of Big Data and the Emergence of Multi-Cloud; Top 10 Data Science Leaders You Should Follow
🌍 https://www.kdnuggets.com/2019/n26.html
🌍 https://www.kdnuggets.com/2019/n26.html
Forwarded from School of AI
Understanding Capsule Networks:
Part I:
https://pechyonkin.me/capsules-1/
Part II:
https://pechyonkin.me/capsules-2/
Part III:
https://pechyonkin.me/capsules-3/
Part IV:
https://pechyonkin.me/capsules-4/
Part I:
https://pechyonkin.me/capsules-1/
Part II:
https://pechyonkin.me/capsules-2/
Part III:
https://pechyonkin.me/capsules-3/
Part IV:
https://pechyonkin.me/capsules-4/
Forwarded from اکوموتیو
🔶 کاربردهای هوش مصنوعی در صنعت فینتک
🔹اگر فقط یک تکنولوژی سودده وجود داشته باشد، بیشک آن تکنولوژی، هوش مصنوعی در اقتصاد است؛ هوش مصنوعی امروزه به دنیای بانکها و صنعت مالی راهکارهایی معرفی کرده است که بتوانند نیازها و تقاضاهای مشتریانی را که میخواهند بهتر و هوشمندانه تر از پول خود بهره ببرند، برآورده کند.
🔹در ادامه با چند نمونه از شرکتهایی که با استفاده هوش مصنوعی به بانکها در جهت بازسازی فرآیندها، مدیریت ریسک و بهبود پیشبینیها، کمک به موسسات مالی و معاملات بهتر و جلوگیری از کلاهبرداری و بالا بردن امنیت سایبری کمک میکنند آشنا میشوید.
📃 ادامه مطلب:
🔗 bit.ly/2JYWioF
💡 #ایده_و_خلاقیت
🆔 @Ecomotive
🔹اگر فقط یک تکنولوژی سودده وجود داشته باشد، بیشک آن تکنولوژی، هوش مصنوعی در اقتصاد است؛ هوش مصنوعی امروزه به دنیای بانکها و صنعت مالی راهکارهایی معرفی کرده است که بتوانند نیازها و تقاضاهای مشتریانی را که میخواهند بهتر و هوشمندانه تر از پول خود بهره ببرند، برآورده کند.
🔹در ادامه با چند نمونه از شرکتهایی که با استفاده هوش مصنوعی به بانکها در جهت بازسازی فرآیندها، مدیریت ریسک و بهبود پیشبینیها، کمک به موسسات مالی و معاملات بهتر و جلوگیری از کلاهبرداری و بالا بردن امنیت سایبری کمک میکنند آشنا میشوید.
📃 ادامه مطلب:
🔗 bit.ly/2JYWioF
💡 #ایده_و_خلاقیت
🆔 @Ecomotive
Science is at another significant crossroad.
The Asahi Shinbum — “”Japan’s science ministry has effectively opened the door to creating human organs for transplant in the bodies of rats and mice. A committee of the Ministry of Education, Culture, Sports, Science and Technology on July 24 signed off on a request from University of Tokyo researchers to conduct a study to create human pancreases in rodents by using human induced pluripotent stem (iPS) cells.
“Finally, we are in a position to start serious studies in this field after 10 years of preparation,” said Hiromitsu Nakauchi, one of the researchers.
“We don’t expect to create human organs immediately, but this allows us to advance our research based upon the know-how we have gained up to this point,” said Nakauchi, who is a specially appointed professor at the Institute of Medical Science of the University of Tokyo.”” — https://lnkd.in/g5Y_f5N
Prof. Hiromitsu (Hiro) Nakauchi [https://lnkd.in/gaWwzJy] has made stunning progress toward organ replacement. Hiro became faculty at #Stanford Medicine, in 2014: https://lnkd.in/gAEZRpU
#medicine #genetics #stemcellresearch
[Fortunate to have met, a genius of genetics, Prof. Hiromitsu (Hiro) Nakauchi — at Stanford.]
by: Paul Harrington
The Asahi Shinbum — “”Japan’s science ministry has effectively opened the door to creating human organs for transplant in the bodies of rats and mice. A committee of the Ministry of Education, Culture, Sports, Science and Technology on July 24 signed off on a request from University of Tokyo researchers to conduct a study to create human pancreases in rodents by using human induced pluripotent stem (iPS) cells.
“Finally, we are in a position to start serious studies in this field after 10 years of preparation,” said Hiromitsu Nakauchi, one of the researchers.
“We don’t expect to create human organs immediately, but this allows us to advance our research based upon the know-how we have gained up to this point,” said Nakauchi, who is a specially appointed professor at the Institute of Medical Science of the University of Tokyo.”” — https://lnkd.in/g5Y_f5N
Prof. Hiromitsu (Hiro) Nakauchi [https://lnkd.in/gaWwzJy] has made stunning progress toward organ replacement. Hiro became faculty at #Stanford Medicine, in 2014: https://lnkd.in/gAEZRpU
#medicine #genetics #stemcellresearch
[Fortunate to have met, a genius of genetics, Prof. Hiromitsu (Hiro) Nakauchi — at Stanford.]
by: Paul Harrington
The Asahi Shimbun
Ministry OKs study to create human pancreas in rats and mice:The Asahi Shimbun
The science ministry has effectively opened the door to creating human organs for transplant in the
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❇️ Db2: The AI database
🌍 https://ibm.co/2WwMvtJ | 💠 Learn how you can accelerate delivery of your AI application with Db2:
🌍 https://ibm.co/AccelerateAIApp
🌍 https://ibm.co/2VSIGC1 | 💠 Discover the future vision of Db2 as it continues to evolve, and how it can
🌍 https://ibm.co/2WwMvtJ | 💠 Learn how you can accelerate delivery of your AI application with Db2:
🌍 https://ibm.co/AccelerateAIApp
🌍 https://ibm.co/2VSIGC1 | 💠 Discover the future vision of Db2 as it continues to evolve, and how it can
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❇️ KERAS Tutorial : Developing an Artificial Neural Network in Python [Step by Step Guide]
🌍 https://www.youtube.com/watch?v=Kmxy5tq2utI&t=269s&fbclid=IwAR10nVw83Xrrv012EUQRb4pWHbSOC5-nGce6VWO-q95k88AbAaAoOEX2r_I
🌍 https://www.youtube.com/watch?v=Kmxy5tq2utI&t=269s&fbclid=IwAR10nVw83Xrrv012EUQRb4pWHbSOC5-nGce6VWO-q95k88AbAaAoOEX2r_I