29 days ago
Section of course: Artificial Intelligence (AI) and Machine learning
Getting Started with Data Science - for AI, Machine Learning
This section contains: 23 chunks
Purpose and objectives of this section:
section
a collection about Python and Data Science
a collection of resources for students interested in Statistics and Data Science
a collection of Tools for AI and Data Science
Courses to learn how to use the tools for AI and Data Science - numPy, Pandas, Matplotlib, more
A collection of resources about the Model Context Protocol (MCP) and the integration of AI agents in website development. This compilation offers insights into the MCP framework, emphasizing its role in enhancing communication and collaboration between various development components. Key themes include the principles of context-driven design, th...
Add AI to your website - Tools for Machine Learning
a collection of articles about Data Science Courses and MOOCs
a collection of resources for students interested in Statistics and Data Science
Statistics - courses, pathways
a collection of resources for students interested in Statistics and Data Science
AI, Machine Learning and Academic Research into AI
Advanced coding topics for programmers: recommendation algorithms
Probability and Statistics - ideas, concepts
Python (coding, programming language) - courses, lessons to get started
Probability and Statistics - Khan Academy course
DataCamp - Data Science Courses and MOOCs
Dataquest - Data Science Courses and MOOCs
Data Visualization, Statistics, Data Science - Introduction
Kaggle - for data science
Jupyter Notebooks - essential Tools for AI and Data Science
Learn Python (programming language) - for kids, teens
a collection about Python and Data Science
Python (programming language)
Section Activity:
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29 days ago
Summit GlobalEducation has
saved a new Video "Why MCP really is a big deal | Model Context Protocol with Tim Berglund"
29 days ago
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saved a new Website "100 Days of Code - Python Course - Learn how to Code on Replit"
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Course: Artificial Intelligence (AI) and Machine learning
Other sections in this course:
- - Introduction Section
- - AI and Society - Creativity, Arts, Music, Writing
- - NLP - Natural Language Processing
- - Math and Algorithms for AI, Machine Learning
- - Applications of AI and Machine Learning (examples, ideas)
- - Neural Networks and Deep Learning AI
- - Investing in AI - finance, fundraising
- - Fears - AI, robots to replace jobs in the future?
- - AI infrastructure, semiconductors, GPUs
- - Chat bots and AI communication