1- Free Course with Certification
▪️Python Projects
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➖Analysis of complex datasets
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➖Data science concepts
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🔻Link:
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#پایتون #پروژه #علم_داده
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2- Becoming better at data science every day
مجموعه ای کامل از کتاب ها ، مقالات و ویدیوهای آموزشی در خصوص یادگیری ماشین،، هوش مصنوعی، پایتون و علم داده
🔻Link :
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#هوش_مصنوعی #علم_داده #یادگیری_ماشین
🆔 @GITAnet|باشگاه فناوران اطلاعات مکانی
▪️Python Projects
Skills👇
➖Analysis of complex datasets
➖Working with real-life projects
➖Data science concepts
➖Machine Learning
🔻Link:
https://www.mygreatlearning.com/academy/learn-for-free/courses/python-projects-for-beginners
#پایتون #پروژه #علم_داده
#Free_course
2- Becoming better at data science every day
مجموعه ای کامل از کتاب ها ، مقالات و ویدیوهای آموزشی در خصوص یادگیری ماشین،، هوش مصنوعی، پایتون و علم داده
🔻Link :
https://github.com/amitness/learning.git
#هوش_مصنوعی #علم_داده #یادگیری_ماشین
🆔 @GITAnet|باشگاه فناوران اطلاعات مکانی
Great Learning
Python Projects - Free Course with Certificate - Great Learning
In this python projects course you will analyse uber data, calculator with python and word counter using python. It will help beginners to understand it better. Enroll today and try to shape your future better.
Deep Learning with PyTorch by Microsoft
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https://docs.microsoft.com/en-us/learn/paths/pytorch-fundamentals/
#یادگیری_عمیق #پایتون
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🆔 @GITAnet|باشگاه فناوران اطلاعات مکانی
100% free !
Course covers:
* An Introduction to PyTorch
* Computer Vision with PyTorch
* NLP with PyTorch
* Audio Classification with PyTorch
https://docs.microsoft.com/en-us/learn/paths/pytorch-fundamentals/
#یادگیری_عمیق #پایتون
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لینک زیر یک دوره ۱۲ هفتهای را برای آموزش مقدماتی هوش مصنوعی ارائه میدهد. این دوره توسط متخصصان مایکروسافت طراحی شده است و مباحثی مانند هوش مصنوعی نمادین، شبکههای عصبی، بینایی ماشین، پردازش زبان طبیعی و غیره را پوشش میدهد.
https://github.com/microsoft/AI-For-Beginners
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🆔 @GITAnet|باشگاه فناوران اطلاعات مکانی
https://github.com/microsoft/AI-For-Beginners
#Free_course
🆔 @GITAnet|باشگاه فناوران اطلاعات مکانی
GitHub
GitHub - microsoft/AI-For-Beginners: 12 Weeks, 24 Lessons, AI for All!
12 Weeks, 24 Lessons, AI for All! Contribute to microsoft/AI-For-Beginners development by creating an account on GitHub.
انویدیا دوره های آموزشی رایگانی را برای کاربران با هر سطحی در مورد شبکه های عصبی و مدل های عصبی منتشر کرده است تا کار هوش مصنوعی را درک کنند
⏩ explanation of generative AI: a based 2-hour course that will explain in detail the structure of neurons, their applications and capabilities;
https://courses.nvidia.com/courses/course-v1:DLI+S-FX-07+V1/
⏩ create a “brain” in 10 minutes: he will explain how a neuron learns from data and show all the mathematics under its hood;
https://courses.nvidia.com/courses/course-v1:DLI+T-FX-01+V1/
⏩ introduction to AI in the data center: everything about machine learning and deep learning; what frameworks are there and how video cards drive AI;
https://www.coursera.org/learn/introduction-ai-data-center
⏩ strengthening our LLM with the help of RAG: it will explain the entire generation database with an augmented sample;
https://courses.nvidia.com/courses/course-v1:NVIDIA+S-FX-16+v1/
⏩ creating your own RAG agents: a powerful 8-hour course on scalable deployment strategies for LLM and vector databases;
https://courses.nvidia.com/courses/course-v1:DLI+S-FX-15+V1/
⏩ speeding up work with Data Science without changing code: everything about data processing and machine learning without rewriting code;
https://courses.nvidia.com/courses/course-v1:DLI+T-DS-03+V1/
⏩ strengthening recommendation systems using AI: collab course between NVIDIA and YouTube;
https://www.classcentral.com/course/youtube-grandmaster-series-mastering-recommender-systems-184298
⏩ network design: a base about the TCP/IP and Ethernet protocols - necessary for understanding data processing processes.
https://www.coursera.org/learn/introduction-to-networking-nvidia
#Free_course
🆔 @GITAnet|باشگاه فناوران اطلاعات مکانی
⏩ explanation of generative AI: a based 2-hour course that will explain in detail the structure of neurons, their applications and capabilities;
https://courses.nvidia.com/courses/course-v1:DLI+S-FX-07+V1/
⏩ create a “brain” in 10 minutes: he will explain how a neuron learns from data and show all the mathematics under its hood;
https://courses.nvidia.com/courses/course-v1:DLI+T-FX-01+V1/
⏩ introduction to AI in the data center: everything about machine learning and deep learning; what frameworks are there and how video cards drive AI;
https://www.coursera.org/learn/introduction-ai-data-center
⏩ strengthening our LLM with the help of RAG: it will explain the entire generation database with an augmented sample;
https://courses.nvidia.com/courses/course-v1:NVIDIA+S-FX-16+v1/
⏩ creating your own RAG agents: a powerful 8-hour course on scalable deployment strategies for LLM and vector databases;
https://courses.nvidia.com/courses/course-v1:DLI+S-FX-15+V1/
⏩ speeding up work with Data Science without changing code: everything about data processing and machine learning without rewriting code;
https://courses.nvidia.com/courses/course-v1:DLI+T-DS-03+V1/
⏩ strengthening recommendation systems using AI: collab course between NVIDIA and YouTube;
https://www.classcentral.com/course/youtube-grandmaster-series-mastering-recommender-systems-184298
⏩ network design: a base about the TCP/IP and Ethernet protocols - necessary for understanding data processing processes.
https://www.coursera.org/learn/introduction-to-networking-nvidia
#Free_course
🆔 @GITAnet|باشگاه فناوران اطلاعات مکانی
Coursera
AI Infrastructure and Operations Fundamentals
Offered by NVIDIA. Artificial Intelligence, or AI, is ... Enroll for free.
Free Certification Courses to Learn Machine Learning in 2024:
1. Python
🔗 https://t.co/gTbLYAFUY9
2. SQL
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3. Statistics and R
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4. Data Science: R Basics
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5. Excel and PowerBI
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11. Data Science: Productivity Tools
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12. Data Science: Probability
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13. Mathematics
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14. Statistics
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15. Data Visualization
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16. Machine Learning
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17. Deep Learning
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18. Data Science: Linear Regression
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🆔 @GITAnet|باشگاه فناوران اطلاعات مکانی
1. Python
🔗 https://t.co/gTbLYAFUY9
2. SQL
🔗 https://t.co/SzslJwZz89
3. Statistics and R
🔗 https://t.co/XV3xAFiwaK
4. Data Science: R Basics
🔗https://t.co/yxTYxuzOET
5. Excel and PowerBI
🔗 https://t.co/iyV7Y6FIV0
6. Data Science: Visualization
🔗https://t.co/jd6FoFYBui
7. Data Science: Machine Learning
🔗https://t.co/N2BRbNWAvt
8. R
🔗https://t.co/evPpMndDuz
9. Tableau
🔗https://t.co/VJVrM9Wfov
10. PowerBI
🔗 https://t.co/OzBt3UXW25
11. Data Science: Productivity Tools
🔗 https://t.co/DqBWoG5oEm
12. Data Science: Probability
🔗https://t.co/vrO9BL1xYz
13. Mathematics
🔗https://t.co/TKLSpOUdSg
14. Statistics
🔗 https://t.co/wx610e63Ov
15. Data Visualization
🔗https://t.co/ewaLFSBKRE
16. Machine Learning
🔗 https://t.co/k6YTXO23dM
17. Deep Learning
🔗 https://t.co/aurTSW681x
18. Data Science: Linear Regression
🔗https://t.co/645OsptZvv
#Free_course
🆔 @GITAnet|باشگاه فناوران اطلاعات مکانی
Try these Free courses from Microsoft in 2024 to level up your Skills 📈
𝟭. 𝗗𝗮𝘁𝗮 𝗙𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀
https://learn.microsoft.com/en-us/training/paths/azure-data-fundamentals-explore-non-relational-data/
𝟮. 𝗦𝗾𝗹 𝗙𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀
https://learn.microsoft.com/en-us/training/paths/azure-sql-fundamentals/
𝟯. 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜
https://learn.microsoft.com/en-us/training/paths/create-use-analvtics-reports-power-bi/
𝟰. 𝗔𝘇𝘂𝗿𝗲 𝗰𝗼𝘀𝗺𝗼𝘀 𝗗𝗕
https://learn.microsoft.com/en-us/training/paths/create-use-analytics-reports-power-bi/
𝟱. 𝗔𝗜 𝗳𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀
https://learn.microsoft.com/en-us/training/paths/create-no-code-predictive-models-azure-machine-learning/
𝟲. 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝘁𝗼 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴
https://learn.microsoft.com/en-us/training/modules/introduction-to-machine-learning/
𝟳. 𝗙𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹 𝗔𝗜 𝗖𝗼𝗻𝗰𝗲𝗽𝘁𝘀
https://learn.microsoft.com/en-us/training/modules/get-started-ai-fundamentals/
𝟴. 𝗙𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀 𝗼𝗳 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜
https://learn.microsoft.com/en-us/training/modules/fundamentals-generative-ai/
𝟵. 𝗙𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀 𝗼𝗳 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻
https://learn.microsoft.com/en-us/training/modules/analyze-images-computer-vision/
𝟭𝟬. 𝗙𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀 𝗼𝗳 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗹𝗲 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜
https://learn.microsoft.com/en-us/training/modules/responsible-generative-ai/
#Free_course
🆔 @GITAnet|باشگاه فناوران اطلاعات مکانی
𝟭. 𝗗𝗮𝘁𝗮 𝗙𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀
https://learn.microsoft.com/en-us/training/paths/azure-data-fundamentals-explore-non-relational-data/
𝟮. 𝗦𝗾𝗹 𝗙𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀
https://learn.microsoft.com/en-us/training/paths/azure-sql-fundamentals/
𝟯. 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜
https://learn.microsoft.com/en-us/training/paths/create-use-analvtics-reports-power-bi/
𝟰. 𝗔𝘇𝘂𝗿𝗲 𝗰𝗼𝘀𝗺𝗼𝘀 𝗗𝗕
https://learn.microsoft.com/en-us/training/paths/create-use-analytics-reports-power-bi/
𝟱. 𝗔𝗜 𝗳𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀
https://learn.microsoft.com/en-us/training/paths/create-no-code-predictive-models-azure-machine-learning/
𝟲. 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻 𝘁𝗼 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴
https://learn.microsoft.com/en-us/training/modules/introduction-to-machine-learning/
𝟳. 𝗙𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹 𝗔𝗜 𝗖𝗼𝗻𝗰𝗲𝗽𝘁𝘀
https://learn.microsoft.com/en-us/training/modules/get-started-ai-fundamentals/
𝟴. 𝗙𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀 𝗼𝗳 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜
https://learn.microsoft.com/en-us/training/modules/fundamentals-generative-ai/
𝟵. 𝗙𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀 𝗼𝗳 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻
https://learn.microsoft.com/en-us/training/modules/analyze-images-computer-vision/
𝟭𝟬. 𝗙𝘂𝗻𝗱𝗮𝗺𝗲𝗻𝘁𝗮𝗹𝘀 𝗼𝗳 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗹𝗲 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜
https://learn.microsoft.com/en-us/training/modules/responsible-generative-ai/
#Free_course
🆔 @GITAnet|باشگاه فناوران اطلاعات مکانی
Docs
Microsoft Azure Data Fundamentals: Explore non-relational data in Azure - Training