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Please read this document for RBI Grade B and IRDA Grade A Phase 2 Descriptive Answer Writing Purpose.

Summary of this document.

This Months RBI Bulletin is very Important for RBI Grade B Exam.

This is only for people who are taking the RBI Grade B mains and who know how important it is!

Padh Ke maja aaya to ❤️ karo, dont like without reading, you will really understand the meaning of Forward Guidance!

If you are understanding what I am posting here, then consider that you are made for RBI otherwise there are n number of other jobs! Thoda kadva hai par sach hai!

One of the best books on finance. I am reading it on a Kindle.

Stop saying AI and ML.
You’re saying ice cream and chocolate ice cream.

AI is an umbrella term and a vast field with various subfields and techniques.

1. Machine Learning:
- Supervised Learning
- Unsupervised Learning
- Reinforcement Learning
- Semi-Supervised Learning
- Transfer Learning
- Ensemble Learning

2. Deep Learning:
- Artificial Neural Networks
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs)
- Generative Adversarial Networks (GANs)
- Transformer Networks

3. Natural Language Processing (NLP):
- Text Classification
- Named Entity Recognition (NER)
- Sentiment Analysis
- Language Translation
- Question-Answering Systems
- Text Generation

4. Computer Vision:
- Image Recognition
- Object Detection
- Image Segmentation
- Image Captioning
- Facial Recognition

5. Robotics:
- Autonomous Robots
- Robotic Process Automation (RPA)
- Human-Robot Interaction (HRI)
- Reinforcement Learning for Robotics

6. Expert Systems:
- Knowledge-Based Systems
- Rule-Based Systems
- Inference Engines

7. Knowledge Representation and Reasoning:
- Ontologies
- First-Order Logic
- Semantic Web

8. Speech Recognition:
- Automatic Speech Recognition (ASR)
- Speech-to-Text Conversion
- Speech Synthesis (Text-to-Speech)

9. Virtual Agents and Chatbots:
- Conversational Agents
- Dialogue Systems
- Chatbot Development

10. Autonomous Vehicles:
- Self-Driving Cars
- Advanced Driver Assistance Systems (ADAS)
- Computer Vision for Autonomous Vehicles

11. Recommender Systems:
- Collaborative Filtering
- Content-Based Filtering
- Hybrid Approaches

12. Game Playing AI:
- Chess AI
- Go AI
- Video Game AI

13. Knowledge Graphs:
- Graph-Based AI
- Semantic Graphs

14. Cognitive Computing:
- Emotion AI
- Context-Aware AI

15. Swarm Intelligence:
- Ant Colony Optimization
- Particle Swarm Optimization

This list is not exhaustive, as AI is an ever-evolving field with continuous research and development, leading to the emergence of new subfields and techniques, but AI is always an umbrella term.

So, stop saying AI and ML.
(Credit: Ben Bronson)

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