Grab these free AI courses before they get paywalled:
๐ญ. Prompt Engineering Basics:
https://skillbuilder.aws/search?searchText=foundations-of-prompt-engineering&showRedirectNotFoundBanner=true
๐ฎ. ChatGPT Prompts Mastery:
https://deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/
๐ฏ. Intro to Generative AI:
https://cloudskillsboost.google/course_templates/536
๐ฐ. AI Introduction by Harvard:
https://pll.harvard.edu/course/cs50s-introduction-artificial-intelligence-python/2023-05
๐ฑ. Microsoft GenAI Basics:
https://linkedin.com/learning/what-is-generative-ai/generative-ai-is-a-tool-in-service-of-humanity
๐ฒ. Prompt Engineering Pro:
https://learnprompting.org
๐ณ. Googleโs Ethical AI:
https://cloudskillsboost.google/course_templates/554
๐ด. Harvard Machine Learning:
https://pll.harvard.edu/course/data-science-machine-learning
๐ต. LangChain App Developer:
https://deeplearning.ai/short-courses/langchain-for-llm-application-development/
๐ญ๐ฌ. Bing Chat Applications:
https://linkedin.com/learning/streamlining-your-work-with-microsoft-bing-chat
๐ญ๐ญ. Generative AI by Microsoft:
https://learn.microsoft.com/en-us/training/paths/introduction-to-ai-on-azure/
๐ญ๐ฎ. Amazonโs AI Strategy:
https://skillbuilder.aws/search?searchText=generative-ai-learning-plan-for-decision-makers&showRedirectNotFoundBanner=true
๐ญ๐ฏ. GenAI for Everyone:
https://deeplearning.ai/courses/generative-ai-for-everyone/
๐ญ๐ฐ. AWS GenAI Foundation:
https://coursera.org/learn/generative-ai-with-llms
https://t.iss.one/CodeProgrammer๐ฐ
๐ญ. Prompt Engineering Basics:
https://skillbuilder.aws/search?searchText=foundations-of-prompt-engineering&showRedirectNotFoundBanner=true
๐ฎ. ChatGPT Prompts Mastery:
https://deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/
๐ฏ. Intro to Generative AI:
https://cloudskillsboost.google/course_templates/536
๐ฐ. AI Introduction by Harvard:
https://pll.harvard.edu/course/cs50s-introduction-artificial-intelligence-python/2023-05
๐ฑ. Microsoft GenAI Basics:
https://linkedin.com/learning/what-is-generative-ai/generative-ai-is-a-tool-in-service-of-humanity
๐ฒ. Prompt Engineering Pro:
https://learnprompting.org
๐ณ. Googleโs Ethical AI:
https://cloudskillsboost.google/course_templates/554
๐ด. Harvard Machine Learning:
https://pll.harvard.edu/course/data-science-machine-learning
๐ต. LangChain App Developer:
https://deeplearning.ai/short-courses/langchain-for-llm-application-development/
๐ญ๐ฌ. Bing Chat Applications:
https://linkedin.com/learning/streamlining-your-work-with-microsoft-bing-chat
๐ญ๐ญ. Generative AI by Microsoft:
https://learn.microsoft.com/en-us/training/paths/introduction-to-ai-on-azure/
๐ญ๐ฎ. Amazonโs AI Strategy:
https://skillbuilder.aws/search?searchText=generative-ai-learning-plan-for-decision-makers&showRedirectNotFoundBanner=true
๐ญ๐ฏ. GenAI for Everyone:
https://deeplearning.ai/courses/generative-ai-for-everyone/
๐ญ๐ฐ. AWS GenAI Foundation:
https://coursera.org/learn/generative-ai-with-llms
https://t.iss.one/CodeProgrammer
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๐ 16th AI by Hand โ๏ธ Workshops, Scholarships available ๐ https://lu.ma/te2q2zqu
Every Wednesday weโve been bringing people together to learn AI by hand โ๏ธ.
Next week marks our 16th workshop, and thanks to Googleโs generous sponsorship, weโre offering scholarships for educators and students to join us.
Choose your session:
๐ 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
๐ ๐ Transformer in Excel Workshop (Intermediate)
For AI engineers who know how to use Transformers but want to open the black box. Weโll visualize every stepโdata flow, math, and dimension alignmentโinside Excel.
๐ ๐ ๐ Latest AI Paper Workshop (Advanced)
Work through a just-published model, architecture, or algorithm with brand-new AI by Hand exercisesโcrafted for this workshop only.
๐ ๐ ๐ Deep Reinforcement Learning Workshop (Advanced)
From replay buffers to Monte Carlo, TD learning, Deep Q-Networks, and SARSAโunderstand value-based deep RL from the ground up.
๐ When: Every Wednesday
๐ Scholarships: Available for educators & students (sponsored by Google)
Register ๐ https://lu.ma/te2q2zqu
Every Wednesday weโve been bringing people together to learn AI by hand โ๏ธ.
Next week marks our 16th workshop, and thanks to Googleโs generous sponsorship, weโre offering scholarships for educators and students to join us.
Choose your session:
๐ 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
๐ ๐ Transformer in Excel Workshop (Intermediate)
For AI engineers who know how to use Transformers but want to open the black box. Weโll visualize every stepโdata flow, math, and dimension alignmentโinside Excel.
๐ ๐ ๐ Latest AI Paper Workshop (Advanced)
Work through a just-published model, architecture, or algorithm with brand-new AI by Hand exercisesโcrafted for this workshop only.
๐ ๐ ๐ Deep Reinforcement Learning Workshop (Advanced)
From replay buffers to Monte Carlo, TD learning, Deep Q-Networks, and SARSAโunderstand value-based deep RL from the ground up.
๐ When: Every Wednesday
๐ Scholarships: Available for educators & students (sponsored by Google)
Register ๐ https://lu.ma/te2q2zqu
โค9๐6
Top 150 Python Interview Questions
This PDF covers the most frequently asked Python questions with answers to help you prepare for upcoming interviews.
๐ธLink to PDF
๐ @DataScience4
This PDF covers the most frequently asked Python questions with answers to help you prepare for upcoming interviews.
๐ธLink to PDF
๐ @DataScience4
โค3๐ฏ2
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 ๐
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 ๐
โค9๐ฅ1
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Data scientists, this is for you โ I dug up LeetCode for DS
DataLemur โ 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 here๐ฏ
๐ https://t.iss.one/CodeProgrammer ๐
DataLemur โ 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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Python library that adds Generative AI capabilities to Pandas!
PandasAI analyzes complex data frames and plot visualizations just by using natural language.
GitHub: https://github.com/sinaptik-ai/pandas-ai
https://t.iss.one/CodeProgrammer๐
PandasAI analyzes complex data frames and plot visualizations just by using natural language.
GitHub: https://github.com/sinaptik-ai/pandas-ai
https://t.iss.one/CodeProgrammer
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Forwarded from Data Science Jupyter Notebooks
๐ฅ Trending Repository: awesome-transformer-nlp
๐ Description: A curated list of NLP resources focused on Transformer networks, attention mechanism, GPT, BERT, ChatGPT, LLMs, and transfer learning.
๐ Repository URL: https://github.com/cedrickchee/awesome-transformer-nlp
๐ Readme: https://github.com/cedrickchee/awesome-transformer-nlp#readme
๐ Statistics:
๐ Stars: 1.1K stars
๐ Watchers: 41
๐ด Forks: 131 forks
๐ป Programming Languages: Not available
๐ท๏ธ Related Topics:
==================================
๐ง By: https://t.iss.one/DataScienceM
๐ Description: A curated list of NLP resources focused on Transformer networks, attention mechanism, GPT, BERT, ChatGPT, LLMs, and transfer learning.
๐ Repository URL: https://github.com/cedrickchee/awesome-transformer-nlp
๐ Readme: https://github.com/cedrickchee/awesome-transformer-nlp#readme
๐ Statistics:
๐ Stars: 1.1K stars
๐ Watchers: 41
๐ด Forks: 131 forks
๐ป Programming Languages: Not available
๐ท๏ธ Related Topics:
#nlp #natural_language_processing #awesome #transformer #neural_networks #awesome_list #llama #transfer_learning #language_model #attention_mechanism #bert #gpt_2 #xlnet #pre_trained_language_models #gpt_3 #gpt_4 #chatgpt
==================================
๐ง By: https://t.iss.one/DataScienceM
โค2๐ฅ1๐ฏ1
Forwarded from Data Science Jupyter Notebooks
๐ฅ Trending Repository: awesome-deeplearning-resources
๐ Description: Deep Learning and deep reinforcement learning research papers and some codes
๐ Repository URL: https://github.com/endymecy/awesome-deeplearning-resources
๐ Readme: https://github.com/endymecy/awesome-deeplearning-resources#readme
๐ Statistics:
๐ Stars: 2.9K stars
๐ Watchers: 221
๐ด Forks: 666 forks
๐ป Programming Languages: Not available
๐ท๏ธ Related Topics:
==================================
๐ง By: https://t.iss.one/DataScienceN
๐ Description: Deep Learning and deep reinforcement learning research papers and some codes
๐ Repository URL: https://github.com/endymecy/awesome-deeplearning-resources
๐ Readme: https://github.com/endymecy/awesome-deeplearning-resources#readme
๐ Statistics:
๐ Stars: 2.9K stars
๐ Watchers: 221
๐ด Forks: 666 forks
๐ป Programming Languages: Not available
๐ท๏ธ Related Topics:
#nlp #video #reinforcement_learning #deep_learning #neural_network #code #paper #corpus #modelzoo
==================================
๐ง By: https://t.iss.one/DataScienceN
โค2
Forwarded from Data Science Jupyter Notebooks
๐ฅ Trending Repository: awesome-deep-vision
๐ Description: A curated list of deep learning resources for computer vision
๐ Repository URL: https://github.com/kjw0612/awesome-deep-vision
๐ Readme: https://github.com/kjw0612/awesome-deep-vision#readme
๐ Statistics:
๐ Stars: 11K stars
๐ Watchers: 1.1k
๐ด Forks: 2.8K forks
๐ป Programming Languages: Not available
๐ท๏ธ Related Topics: Not available
==================================
๐ง By: https://t.iss.one/DataScienceN
๐ Description: A curated list of deep learning resources for computer vision
๐ Repository URL: https://github.com/kjw0612/awesome-deep-vision
๐ Readme: https://github.com/kjw0612/awesome-deep-vision#readme
๐ Statistics:
๐ Stars: 11K stars
๐ Watchers: 1.1k
๐ด Forks: 2.8K forks
๐ป Programming Languages: Not available
๐ท๏ธ Related Topics: Not available
==================================
๐ง By: https://t.iss.one/DataScienceN
โค6
โจ Download a Free Python Cheat Sheet โจ
๐ Download a free Python 3 cheat sheet PDF put together by the Real Python team.
๐ท๏ธ #Python
๐ Download a free Python 3 cheat sheet PDF put together by the Real Python team.
๐ท๏ธ #Python
โค10
Get top-tier market analysis: world events meet technical trading.
I'm Michael ๐. My team and I share our market insights daily on our Telegram channel. Over the past weekend, our strategies delivered up to +39% gains.
We will tell you everything on the channel, even for beginners.
Join the channel below! ๐
https://t.iss.one/+9mZure1faNRkOTE8
I'm Michael ๐. My team and I share our market insights daily on our Telegram channel. Over the past weekend, our strategies delivered up to +39% gains.
We will tell you everything on the channel, even for beginners.
Join the channel below! ๐
https://t.iss.one/+9mZure1faNRkOTE8
โค5
Let's Learn MCP with Python - Tutorial Series
Here's your comprehensive guide to understanding and building Model Context Protocol (MCP) Servers for Python developers through interactive learning experiences.
Repo: https://github.com/microsoft/lets-learn-mcp-python?tab=readme-ov-file
https://t.iss.one/CodeProgrammer๐ง
Here's your comprehensive guide to understanding and building Model Context Protocol (MCP) Servers for Python developers through interactive learning experiences.
Repo: https://github.com/microsoft/lets-learn-mcp-python?tab=readme-ov-file
https://t.iss.one/CodeProgrammer
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๐ฅ $10.000 WITH LISA!
Lisa earned $200,000 in a month, and now itโs YOUR TURN!
Sheโs made trading SO SIMPLE that anyone can do it.
โ๏ธJust copy her signals every day
โ๏ธFollow her trades step by step
โ๏ธEarn $1,000+ in your first week โ GUARANTEED!
๐จ BONUS: Lisa is giving away $10,000 to her subscribers!
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๐ CLICK HERE TO JOIN NOW ๐
Lisa earned $200,000 in a month, and now itโs YOUR TURN!
Sheโs made trading SO SIMPLE that anyone can do it.
โ๏ธJust copy her signals every day
โ๏ธFollow her trades step by step
โ๏ธEarn $1,000+ in your first week โ GUARANTEED!
๐จ BONUS: Lisa is giving away $10,000 to her subscribers!
Donโt miss this once-in-a-lifetime opportunity. Free access for the first 500 people only!
๐ CLICK HERE TO JOIN NOW ๐
230+ Power BI Interview Questions.pdf
4.3 MB
30+ Power BI Interview Questions to Land Your Job!
Power BI mastery is key to landing your dream job, and understanding the right interview questions can make all the difference!
https://t.iss.one/CodeProgrammer ๐ด
Power BI mastery is key to landing your dream job, and understanding the right interview questions can make all the difference!
https://t.iss.one/CodeProgrammer ๐ด
โค4๐ฏ2๐1
One of the best free courses on LLMs is the Recent Advances on Foundation Models course from the University of Waterloo, and it has 21 lectures under these five sections:
1. Introduction to Foundation Models
2. Transformer Architecture
3. Large Language Models
4. (Large) Multimodal Models
5. Augmenting Foundation Models
โก๏ธ Course link: https://cs.uwaterloo.ca/~wenhuche/teaching/cs886/
https://t.iss.one/CodeProgrammer๐
1. Introduction to Foundation Models
2. Transformer Architecture
3. Large Language Models
4. (Large) Multimodal Models
5. Augmenting Foundation Models
โก๏ธ Course link: https://cs.uwaterloo.ca/~wenhuche/teaching/cs886/
https://t.iss.one/CodeProgrammer
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