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Дописи каналу
| 2 |  Немає тексту... | 63 |
| 3 | Country affiliations are based on the country where the researcher received their undergraduate degree. | 221 |
| 4 | Where do top-tier AI researchers come from?
Country affiliations are based on the country where the researcher received their undergraduate degree. | 1 |
| 5 | Немає тексту... | 197 |
| 6 | Where do top-tier AI researchers come from? | 198 |
| 7 | Country affiliations are based on the headquarters of institutions in which the researchers currently work. | 293 |
| 8 | Немає тексту... | 294 |
| 9 | Where do top-tier AI researchers work today? | 290 |
| 10 | Bard AI by Google is finally out 🚀
Try it here: https://bard.google.com
Unfortunately it's not available in all countries....Turn on VPN 😉
Bard AI python API : https://github.com/dsdanielpark/BARD_API | 79 |
| 11 | Follow me on Instagram | 113 |
| 12 | https://instagram.com/ezozkhoja?igshid=ZGUzMzM3NWJiOQ== | 109 |
| 13 | Hello everyone, I want to form a new team. In this team, we are preparing to open a start-up related to artificial intelligence and we are preparing together. If anyone wants to join, join me. We will work hard and exchange ideas for this start-up. If anyone is good at artificial intelligence or interested in entrepreneurship, message me @mitcsail and share this message with your close friends.
Sharing is caring.
@mitcsail1 | 526 |
| 14 | You don't need to spend several $𝟭𝟬𝟬𝟬𝘀 to learn Data Science.❌
Stanford University, Harvard University & Massachusetts Institute of Technology is providing free courses.💥
Here's 8 free Courses that'll teach you better than the paid ones:
1. CS50’s Introduction to Artificial Intelligence with Python (Harvard)
https://lnkd.in/d9CkkfGK
2. Data Science: Machine Learning (Harvard)
https://lnkd.in/dQ7zkCv9
3. Artificial Intelligence (MIT)
https://lnkd.in/dG5BCPen
4. Introduction to Computational Thinking and Data Science (MIT)
https://lnkd.in/ddm5Ckk9
5. Machine Learning (MIT)
https://lnkd.in/dJEjStCw
6. Matrix Methods in Data Analysis, Signal Processing, and Machine Learning (MIT)
https://lnkd.in/dkpyt6qr
7. Statistical Learning (Stanford)
https://lnkd.in/dymn4hbD
8. Mining Massive Data Sets (Stanford)
📍https://lnkd.in/d2uf-FkB | 100 |
| 15 | ✍️ Elon Musk and multiple experts have signed a letter raising concerns about the development of AI.
The letter was issued by the non-profit Future of Life Institute.Its signatories called for a 6-month pause on the training of AI systems more powerful than GPT-4, which launched earlier this month.
Read more here about the open letter that cites potential risks to humanity and society.
(Photo credit: REUTERS)
React with 👍 for more, or 👎 for less, @BusinessInsider stories like this. | 86 |
| 16 | Columbian judge uses ChatGPT in ruling, makes humane decision The judge ruled in favor of the child stating that the child’s medical expenses and transport costs should be paid by his medical plan, considering his parents' limited income.
https://interestingengineering.com/innovation/chatgpt-makes-humane-decision-columbia | 76 |
| 17 | Here are 10 websites with links for learning AI, ML, and DL:
Coursera - https://www.coursera.org/
Coursera is an online learning platform that offers courses in various fields, including artificial intelligence, machine learning, and deep learning. Some of the top courses on Coursera include Andrew Ng's Machine Learning course and the Deep Learning Specialization.
edX - https://www.edx.org/
edX is another online learning platform that offers a variety of courses, including those in the field of AI, ML, and DL. Some of the top courses on edX include Introduction to Artificial Intelligence, Deep Learning, and Machine Learning with Python.
Udacity - https://www.udacity.com/
Udacity is a platform that offers courses and Nanodegrees in various fields, including AI, ML, and DL. Some of the top courses on Udacity include the AI Programming with Python Nanodegree and the Machine Learning Engineer Nanodegree.
TensorFlow - https://www.tensorflow.org/
TensorFlow is an open-source software library for dataflow and differentiable programming across a range of tasks. It offers tutorials and guides on how to use TensorFlow for machine learning and deep learning projects.
PyTorch - https://pytorch.org/
PyTorch is another open-source machine learning library that provides tutorials, guides, and documentation on how to use PyTorch for various machine learning projects.
Kaggle - https://www.kaggle.com/
Kaggle is a platform for data scientists and machine learning practitioners to participate in competitions, collaborate on projects, and access datasets for machine learning and data analysis.
Machine Learning Mastery - https://machinelearningmastery.com/
Machine Learning Mastery is a website that offers tutorials, guides, and courses on machine learning and deep learning. It covers topics ranging from beginner-level to advanced-level.
Towards Data Science - https://towardsdatascience.com/
Towards Data Science is a platform for data scientists and machine learning practitioners to share their knowledge and insights on various topics related to data science, including AI, ML, and DL.
DataCamp - https://www.datacamp.com/
DataCamp is an online learning platform that offers courses on various topics related to data science, including AI, ML, and DL. Some of the top courses on DataCamp include Introduction to Deep Learning with Keras and Introduction to Machine Learning with Python.
Fast.ai - https://www.fast.ai/
Fast.ai is a platform that offers courses and resources on practical deep learning. It covers topics ranging from beginner-level to advanced-level and provides hands-on coding exercises and projects. | 66 |
| 18 | Top AI Twitter Accounts.
Here are the top 10 Twitter pages for AI/ML/DL engineers, in no particular order:
1 Andrew Ng (@AndrewYNg) - Co-founder of Coursera and deeplearning.ai, computer science professor, and expert in AI and machine learning.
2 Yann LeCun (@ylecun) - AI researcher, professor at New York University, and founding director of Facebook AI Research.
3 Ian Goodfellow (@goodfellow_ian) - Director of Machine Learning at Apple, co-author of the book "Deep Learning," and expert in generative models.
4 Demis Hassabis (@demishassabis) - Founder and CEO of DeepMind, a leading AI research lab acquired by Google in 2015.
5 Rachel Thomas (@math_rachel) - Co-founder of fast.ai, a free online course for deep learning, and advocate for diversity and inclusion in tech.
6 François Chollet (@fchollet) - Author of the Keras deep learning library, AI researcher at Google, and author of "Deep Learning with Python."
7 Alex Krizhevsky (@krizhevsky) - AI researcher at Google and co-author of the seminal paper on deep learning, "ImageNet Classification with Deep Convolutional Neural Networks."
8 Yoshua Bengio (@yoshuabengio) - AI researcher and professor at the University of Montreal, co-recipient of the 2018 Turing Award, and expert in deep learning.
9Karen Hao (@_KarenHao) - Senior AI reporter at MIT Technology Review, covering the latest developments in AI and machine learning.
10 Sam Charrington (@samcharrington) - Host of the "This Week in Machine Learning and AI" podcast and founder of the AI education platform, "Twiml.ai."
Join telegram channel @mitcsail1 | 60 |
| 19 | Design World - Robotics Handbook, November 2022 | 64 |
| 20 | Design World - Robotics Handbook, November 2022
Requirements: .PDF reader, 104mb
Overview: Design World is focused on serving the OEM machine builder, design engineer, and engineering manager. DW delivers relevant editorial content and the most up-to-date supplier product and technology releases. | 64 |
