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Hands-On Session
On Artificial Intelligence and Machine Learning
Into the
World of AI
Introduction to
AI/ML
Hands-on experience
with Machine Learning
Custom Gemini Model -
Making an AI Chatbot
Dive into the Google
Colab Environment
ML Template
Coding
AI/ML Integration
with Web Apps
Google AI Studio
Overview
Agenda
What is not
considered as AI?
What are LLMs and
Generative AI?
• A large language model (LLM) is a
language model notable for its ability to
achieve general-purpose language
generation and understanding.
• LLMs take a text prompt, from a user or
another program to generate text.
What is Transformer
Architecture?
• A transformer architecture is a type of
neural network architecture that
changes an input sequence into an
output sequence.
• It consists of two parts:
o An Encoder and
o A Decoder
How AI and ML are related ?
Machine Learning
• Machine Learning is a way to teach computers to
learn from experience and improve their
performance over time and make predictions.
• Machine learning systems first takes input to learn
and then make useful predictions and decision
about unseen data.
Flow of ML model
Types of ML models
Supervised vs Unsupervised Learning
Classification
• Primary objective of a classification
model in machine learning is to
categorize or label input data into
predefined classes or categories.
• Some Classification Algorithms :
Logistic Regression, KNN, Naïve Bayes,
SVM, etc.
Regression
• Regression analysis is used when
the goal is to understand the
relationship between dependent
and independent variables.
• Some Regression Algorithms :
Linear regression, Decision Tree,
Random Forest regression, etc.
Clustering
• Primary objective of clustering is to
gather similar points together, forming
distinct clusters.
• Some Clustering Algorithms :
K-means, Hierarchical clustering,
DBSCAN, etc.
Type of ML model should be used ?
2. For suggesting
spelling corrections
1. For Labelling Email as
spam or not-spam
3. For Estimating the
arrival of bus, based on
the time and traffic.
Hands-On ML ...
Various Python Libraries for ML
• NumPy: Numerical computing and efficient mathematical functions
• Pandas: Data manipulation and analysis, providing data structures
like Data Frames.
• Matplotlib: 2D plotting library for creating static, animated, and
interactive visualizations.
• Scikit-learn: For building and evaluating predictive models.
• TensorFlow: For building and training deep learning models.
• Pytorch: Deep learning library with a dynamic computational graph.
Machine Learning Template Codes
AI won’t Replace you ,
But…
Someone Using and Building AI
will…

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Into the World of AI GDSC YCCE PPTX.pptx

  • 1. Hands-On Session On Artificial Intelligence and Machine Learning Into the World of AI
  • 2. Introduction to AI/ML Hands-on experience with Machine Learning Custom Gemini Model - Making an AI Chatbot Dive into the Google Colab Environment ML Template Coding AI/ML Integration with Web Apps Google AI Studio Overview Agenda
  • 4. What are LLMs and Generative AI? • A large language model (LLM) is a language model notable for its ability to achieve general-purpose language generation and understanding. • LLMs take a text prompt, from a user or another program to generate text.
  • 5. What is Transformer Architecture? • A transformer architecture is a type of neural network architecture that changes an input sequence into an output sequence. • It consists of two parts: o An Encoder and o A Decoder
  • 6. How AI and ML are related ?
  • 7. Machine Learning • Machine Learning is a way to teach computers to learn from experience and improve their performance over time and make predictions. • Machine learning systems first takes input to learn and then make useful predictions and decision about unseen data.
  • 8. Flow of ML model
  • 9. Types of ML models
  • 11. Classification • Primary objective of a classification model in machine learning is to categorize or label input data into predefined classes or categories. • Some Classification Algorithms : Logistic Regression, KNN, Naïve Bayes, SVM, etc.
  • 12. Regression • Regression analysis is used when the goal is to understand the relationship between dependent and independent variables. • Some Regression Algorithms : Linear regression, Decision Tree, Random Forest regression, etc.
  • 13. Clustering • Primary objective of clustering is to gather similar points together, forming distinct clusters. • Some Clustering Algorithms : K-means, Hierarchical clustering, DBSCAN, etc.
  • 14. Type of ML model should be used ? 2. For suggesting spelling corrections 1. For Labelling Email as spam or not-spam 3. For Estimating the arrival of bus, based on the time and traffic.
  • 16. Various Python Libraries for ML • NumPy: Numerical computing and efficient mathematical functions • Pandas: Data manipulation and analysis, providing data structures like Data Frames. • Matplotlib: 2D plotting library for creating static, animated, and interactive visualizations. • Scikit-learn: For building and evaluating predictive models. • TensorFlow: For building and training deep learning models. • Pytorch: Deep learning library with a dynamic computational graph.
  • 18. AI won’t Replace you , But… Someone Using and Building AI will…