AI
What is AI
We are all famiilar with AI in the form of Response Generating Software such as chatgpt. However, AI has far more significant implications then just this.
AI can also be used to making predictions via Machine Learning, and Deep Learning; Machine Learning allows us to effectively predict changes in data over time by providing our AI with a sample set of data.
Deep Learning is an advanced method of Machine Learning, where AI is able to more independently make predictions and learn from it’s mistakes.
At it’s core, AI takes in a sample dataset and is able to Model and Display this data in way that we as humans easily understand.
Why Learn How to Use AI
Learning how to use AI can be beneficial in any field
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AI can Help you Learn Coding in multiple different languages
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AI can Answer Complicated Questions and aid you in your learning process
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AI can make Accurate Predictions and model systems for a variety of expertise.
Resources
Applied / Domain-Specific Resources
| Resource | Author / Provider | Best for (goal) | Level |
|---|---|---|---|
| Sarathsreedharan: Github | Sarath Sreedharan | learning how to use machine learning | Beginner |
| Asabenhur: Github | Sarath Sreedharan | Supporting information for introductory Machine Learning | Intermediate |
| Haonen Chen: Github | Haonen Chen | Learning to utilize software that assists with iterative development and AI review | Intermediate |
| Tristachi: Github | Ravi Mangal | Learning how to use a dataset to train AI | Intermediate |
| Sarathsreedharan: Github | Sarath Sreedharan | Coding for machine learning | Advanced |
Video Courses / Structured Learning Paths
| Resource | Author / Provider | Best for (goal) | Level |
|---|---|---|---|
| Introduction to Artificial Intelligence | Sage Campus | Accessing Fundamental AI skills | Beginner |
| Code Academy: Data and Programming Foundations for AI | Code Academy | Learning foundational AI skills and implementing python into AI coding | Advanced |