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LangExtract
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
GitHub: https://github.com/google/langextract
https://t.iss.one/DataScienceN🖕
A Python library for extracting structured information from unstructured text using LLMs with precise source grounding and interactive visualization.
GitHub: https://github.com/google/langextract
https://t.iss.one/DataScienceN
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Microsoft launched the best course on Generative AI!
The Free 21 lesson course is available on #Github and will teach you everything you need to know to start building #GenerativeAI applications.
Enroll: https://github.com/microsoft/generative-ai-for-beginners
https://github.com/microsoft/generative-ai-for-beginners
https://t.iss.one/CodeProgrammer🩷
The Free 21 lesson course is available on #Github and will teach you everything you need to know to start building #GenerativeAI applications.
Enroll: https://github.com/microsoft/generative-ai-for-beginners
https://github.com/microsoft/generative-ai-for-beginners
https://t.iss.one/CodeProgrammer
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#LSTMs made AI remember before #Transformers took over
here’s the 15-step by-hand ✍️ guide
you can download: https://www.byhand.ai/p/26-lstm
https://t.iss.one/CodeProgrammer
here’s the 15-step by-hand ✍️ guide
you can download: https://www.byhand.ai/p/26-lstm
https://t.iss.one/CodeProgrammer
❤5
Grab these free AI courses before they get paywalled:
𝟭. Prompt Engineering Basics:
https://skillbuilder.aws/search?searchText=foundations-of-prompt-engineering&showRedirectNotFoundBanner=true
𝟮. ChatGPT Prompts Mastery:
https://deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/
𝟯. Intro to Generative AI:
https://cloudskillsboost.google/course_templates/536
𝟰. AI Introduction by Harvard:
https://pll.harvard.edu/course/cs50s-introduction-artificial-intelligence-python/2023-05
𝟱. Microsoft GenAI Basics:
https://linkedin.com/learning/what-is-generative-ai/generative-ai-is-a-tool-in-service-of-humanity
𝟲. Prompt Engineering Pro:
https://learnprompting.org
𝟳. Google’s Ethical AI:
https://cloudskillsboost.google/course_templates/554
𝟴. Harvard Machine Learning:
https://pll.harvard.edu/course/data-science-machine-learning
𝟵. LangChain App Developer:
https://deeplearning.ai/short-courses/langchain-for-llm-application-development/
𝟭𝟬. Bing Chat Applications:
https://linkedin.com/learning/streamlining-your-work-with-microsoft-bing-chat
𝟭𝟭. Generative AI by Microsoft:
https://learn.microsoft.com/en-us/training/paths/introduction-to-ai-on-azure/
𝟭𝟮. Amazon’s AI Strategy:
https://skillbuilder.aws/search?searchText=generative-ai-learning-plan-for-decision-makers&showRedirectNotFoundBanner=true
𝟭𝟯. GenAI for Everyone:
https://deeplearning.ai/courses/generative-ai-for-everyone/
𝟭𝟰. AWS GenAI Foundation:
https://coursera.org/learn/generative-ai-with-llms
https://t.iss.one/CodeProgrammer🔰
𝟭. Prompt Engineering Basics:
https://skillbuilder.aws/search?searchText=foundations-of-prompt-engineering&showRedirectNotFoundBanner=true
𝟮. ChatGPT Prompts Mastery:
https://deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/
𝟯. Intro to Generative AI:
https://cloudskillsboost.google/course_templates/536
𝟰. AI Introduction by Harvard:
https://pll.harvard.edu/course/cs50s-introduction-artificial-intelligence-python/2023-05
𝟱. Microsoft GenAI Basics:
https://linkedin.com/learning/what-is-generative-ai/generative-ai-is-a-tool-in-service-of-humanity
𝟲. Prompt Engineering Pro:
https://learnprompting.org
𝟳. Google’s Ethical AI:
https://cloudskillsboost.google/course_templates/554
𝟴. Harvard Machine Learning:
https://pll.harvard.edu/course/data-science-machine-learning
𝟵. LangChain App Developer:
https://deeplearning.ai/short-courses/langchain-for-llm-application-development/
𝟭𝟬. Bing Chat Applications:
https://linkedin.com/learning/streamlining-your-work-with-microsoft-bing-chat
𝟭𝟭. Generative AI by Microsoft:
https://learn.microsoft.com/en-us/training/paths/introduction-to-ai-on-azure/
𝟭𝟮. Amazon’s AI Strategy:
https://skillbuilder.aws/search?searchText=generative-ai-learning-plan-for-decision-makers&showRedirectNotFoundBanner=true
𝟭𝟯. GenAI for Everyone:
https://deeplearning.ai/courses/generative-ai-for-everyone/
𝟭𝟰. AWS GenAI Foundation:
https://coursera.org/learn/generative-ai-with-llms
https://t.iss.one/CodeProgrammer
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🚀 16th AI by Hand ✍️ Workshops, Scholarships available 👉 https://lu.ma/te2q2zqu
Every Wednesday we’ve been bringing people together to learn AI by hand ✍️.
Next week marks our 16th workshop, and thanks to Google’s generous sponsorship, we’re offering scholarships for educators and students to join us.
Choose your session:
🙌 Deep Learning Beginner Math Workshop
Build the math foundation for deep learning:
1. Dot Product
2. Matrix Multiplication
3. Linear Layer
4. Activation
5. Artificial Neuron
🙌 🙌 Transformer in Excel Workshop (Intermediate)
For AI engineers who know how to use Transformers but want to open the black box. We’ll visualize every step—data flow, math, and dimension alignment—inside Excel.
🙌 🙌 🙌 Latest AI Paper Workshop (Advanced)
Work through a just-published model, architecture, or algorithm with brand-new AI by Hand exercises—crafted for this workshop only.
🙌 🙌 🙌 Deep Reinforcement Learning Workshop (Advanced)
From replay buffers to Monte Carlo, TD learning, Deep Q-Networks, and SARSA—understand value-based deep RL from the ground up.
📅 When: Every Wednesday
🎓 Scholarships: Available for educators & students (sponsored by Google)
Register 🔗 https://lu.ma/te2q2zqu
Every Wednesday we’ve been bringing people together to learn AI by hand ✍️.
Next week marks our 16th workshop, and thanks to Google’s generous sponsorship, we’re offering scholarships for educators and students to join us.
Choose your session:
🙌 Deep Learning Beginner Math Workshop
Build the math foundation for deep learning:
1. Dot Product
2. Matrix Multiplication
3. Linear Layer
4. Activation
5. Artificial Neuron
🙌 🙌 Transformer in Excel Workshop (Intermediate)
For AI engineers who know how to use Transformers but want to open the black box. We’ll visualize every step—data flow, math, and dimension alignment—inside Excel.
🙌 🙌 🙌 Latest AI Paper Workshop (Advanced)
Work through a just-published model, architecture, or algorithm with brand-new AI by Hand exercises—crafted for this workshop only.
🙌 🙌 🙌 Deep Reinforcement Learning Workshop (Advanced)
From replay buffers to Monte Carlo, TD learning, Deep Q-Networks, and SARSA—understand value-based deep RL from the ground up.
📅 When: Every Wednesday
🎓 Scholarships: Available for educators & students (sponsored by Google)
Register 🔗 https://lu.ma/te2q2zqu
👍6❤5
Top 150 Python Interview Questions
This PDF covers the most frequently asked Python questions with answers to help you prepare for upcoming interviews.
🔸Link to PDF
👉 @DataScience4
This PDF covers the most frequently asked Python questions with answers to help you prepare for upcoming interviews.
🔸Link to PDF
👉 @DataScience4
💯1
python-docx: Create and Modify Word Documents #python
python-docx is a Python library for reading, creating, and updating Microsoft Word 2007+ (.docx) files.
Installation
Example
https://t.iss.one/DataScienceN 🚗
python-docx is a Python library for reading, creating, and updating Microsoft Word 2007+ (.docx) files.
Installation
pip install python-docx
Example
from docx import Document
document = Document()
document.add_paragraph("It was a dark and stormy night.")
<docx.text.paragraph.Paragraph object at 0x10f19e760>
document.save("dark-and-stormy.docx")
document = Document("dark-and-stormy.docx")
document.paragraphs[0].text
'It was a dark and stormy night.'
https://t.iss.one/DataScienceN 🚗
❤5
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Data scientists, this is for you — I dug up LeetCode for DS
DataLemur — a powerful platform that collects real interview problems from Tesla, Facebook, Twitter, Microsoft, and other top companies
Inside: practical tasks on SQL, statistics, Python, and ML. You can filter by difficulty level and company
Top-notch for those preparing for interviews for Data Scientist / Data Analyst roles. Get it here🍯
👉 https://t.iss.one/CodeProgrammer 👍
DataLemur — a powerful platform that collects real interview problems from Tesla, Facebook, Twitter, Microsoft, and other top companies
Inside: practical tasks on SQL, statistics, Python, and ML. You can filter by difficulty level and company
Top-notch for those preparing for interviews for Data Scientist / Data Analyst roles. Get it here
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