Page 10 - Ai_C10_Flipbook
P. 10
Unit-2 Advanced Concepts of Modeling in AI 113
Revisiting AI, ML, DL Common Terminologies used with Data
Modelling What is Neural Network?
How does AI make a Decision?
Unit-3 Evaluating Models 141
Understanding Evaluation Splitting the Training Set Data for Evaluation
Evaluation Techniques Accuracy and Error
Evaluation Metrics for Classification Confusion Matrix
Accuracy from Confusion Matrix Precision
Recall F1 Score
Ethical Concerns Around Model Evaluation
Unit-4 Statistical Data (Practical) 165
What is Data Science? Introduction to Low/No-Code AI Approach for Statistical Data
Important Concepts in Statistics Orange Data Mining
Applying the AI Project Cycle in Orange Data Mining
Unit-5 Computer Vision 193
Concept of Computer Vision Applications of Computer Vision
Computer Vision Tasks Basics of Images
How does a Computer See Images? No-Code AI Tools
Introduction to Lobe Introduction to Teachable Machine
Orange Data Mining Tool Image Feature
Convolution What is Neural Network?
What is Convolutional Neural Network (CNN)? Layers of Convolutional Neural Network (CNN)
Unit-6 Natural Language Processing 233
What is Natural Language? What is NLP?
Stages of Natural Language Processing (NLP) Chatbots
Text Processing Techniques of Natural Language Processing
No-Code NLP Tools Natural Language Processing: Use Case
Sentiment Analysis NLP with Orange Data Mining Tool
Unit-7 Advance Python (Practical) 263
Introduction to Anaconda Understanding Jupyter Notebook
What is a Virtual Environment? Working with Jupyter Notebook
Introduction to Python Why Python for Artificial Intelligence?
Applications of Python Recap of Python Basics
Modules and Packages NumPy (Numerical Python)
Pandas (PANel DAta) Matplotlib
SciPy(Scientific Python) NLTK
OpenCV
Part C Practical & Project Work
Python Practical Questions 304
Viva Voce Questions 311
Project Work 313
Model Test Paper 319
AI Glossary 324
(viii)

