Artificial Intelligence and Machine Learning Notes for SSC Exams
Rahul Kumar
SSC Exam Expert & Content Editor
In this note
- 1.What Is Artificial Intelligence?
- 2.Types of AI
- 3.Machine Learning (ML)
- 4.Important AI Terms
- 5.Applications of AI
- 6.Well-Known AI Tools
- 7.AI in India
- 8.Benefits and Risks
- 9.Quick Tips
- 10.Quick Revision Points
- 11.Practice Questions With Answers
- 12.How to Practise This Chapter
- 13.Frequently Asked Questions
PDF Notes: Artificial Intelligence and Machine Learning Notes for SSC Exams
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Artificial Intelligence (AI) is the ability of a machine to think, learn and take decisions like a human being. AI is now a regular topic in SSC Computer Knowledge, because it is in the news every day. Questions are asked on the meaning of AI, the types, machine learning, chatbots and the famous names. These artificial intelligence and machine learning notes for SSC explain every term in simple language with tables and practice questions.
What Is Artificial Intelligence?
- AI is the branch of computer science that makes machines do work that normally needs human intelligence.
- The term "Artificial Intelligence" was coined by John McCarthy in 1956.
- The Turing test, proposed by Alan Turing in 1950, checks whether a machine can behave so like a human that a person cannot tell the difference.
Types of AI
| Type | Meaning | Example |
|---|---|---|
| Narrow AI (weak AI) | Does one task well | Voice assistants, face unlock, chess programs |
| General AI (strong AI) | Can do any intellectual task like a human; still not fully achieved | Not yet available |
| Super AI | Would be smarter than humans in all fields; still an idea | Not yet available |
Machine Learning (ML)
Machine learning is a part of AI in which computers learn from data without being programmed for every step.
| Type | How it learns | Example |
|---|---|---|
| Supervised learning | Learns from labelled data (input with the correct answer) | Spam email detection |
| Unsupervised learning | Finds patterns in data without labels | Grouping customers by habits |
| Reinforcement learning | Learns by trial, with rewards and penalties | A computer learning to play a game |
Important AI Terms
| Term | Meaning |
|---|---|
| Deep learning | A type of machine learning that uses many-layered neural networks |
| Neural network | A computer model inspired by the human brain |
| Natural Language Processing (NLP) | AI that understands and produces human language, used in chatbots and translation |
| Computer vision | AI that understands pictures and videos, used in face recognition |
| Robotics | Design and use of robots, often with AI |
| Expert system | A program that gives expert-level advice in a narrow field |
| Chatbot | A program that talks with people through text or voice |
| Generative AI | AI that creates new text, pictures, music or code |
| Big data | Very large sets of data used to train AI |
| Algorithm | A set of steps to solve a problem |
Applications of AI
- Healthcare: finding diseases from scans and suggesting treatment.
- Banking: fraud detection and chatbots.
- Agriculture: crop health checking and weather prediction.
- Transport: self-driving vehicles and traffic control.
- Education: personal learning apps and translation.
- Daily life: voice assistants such as Siri, Alexa and Google Assistant.
Well-Known AI Tools
| Tool | Company |
|---|---|
| ChatGPT (launched in November 2022) | OpenAI |
| Gemini | |
| Copilot | Microsoft |
| Alexa | Amazon |
| Siri | Apple |
AI in India
- The Government of India launched the IndiaAI Mission in 2024 to build AI computing power and to support AI start-ups.
- NITI Aayog released a national strategy for AI called "AI for All".
- Bhashini is an Indian platform for translation between Indian languages using AI.
Benefits and Risks
| Benefits | Risks |
|---|---|
| Fast and accurate work, saves time | Loss of some jobs |
| Works without getting tired | Wrong or biased results if the data is wrong |
| Helps in hard fields like medicine and space | Privacy and misuse, such as deepfakes |
Quick Tips
- Remember John McCarthy (term AI, 1956) and Alan Turing (Turing test, 1950).
- Learn the three types of machine learning with one example each.
- Learn the names of AI tools with their companies.
- Read the latest AI news, because current events are often asked.
Quick Revision Points
- AI makes machines think and learn like humans.
- The term AI was coined by John McCarthy in 1956.
- The Turing test was proposed by Alan Turing.
- Machine learning is a part of AI, and deep learning is a part of machine learning.
- ChatGPT was made by OpenAI.
Practice Questions With Answers
- Who coined the term Artificial Intelligence?
Answer: John McCarthy - Which test checks the intelligence of a machine?
Answer: Turing test - Who proposed the Turing test?
Answer: Alan Turing - Which type of learning uses labelled data?
Answer: Supervised learning - Which AI field is used in face recognition?
Answer: Computer vision - What does NLP stand for?
Answer: Natural Language Processing - Which company made ChatGPT?
Answer: OpenAI - What is the name of Google's AI chatbot?
Answer: Gemini - Which mission was launched by India in 2024 for AI?
Answer: IndiaAI Mission - What is a chatbot?
Answer: A program that talks with people through text or voice
How to Practise This Chapter
Learn the terms in a table and read one AI news item each day. Then solve questions from our practice papers, the free SSC quizzes and the previous year papers page. Read the next chapter, Algorithm and Flowchart, and see all topics on the Computer Knowledge notes page. For other new technologies, read the Cloud Computing and Emerging Technology note.
Frequently Asked Questions
What is artificial intelligence?
Artificial intelligence is the ability of a machine or a computer program to think, learn and take decisions like a human.
Who is called the father of artificial intelligence?
John McCarthy is called the father of AI because he coined the term in 1956.
What is the Turing test?
The Turing test checks whether a machine can behave so like a human that a person cannot say if he is talking to a human or a machine.
What is machine learning?
Machine learning is a part of AI in which computers learn from data and improve without being programmed for every step.
What are the types of machine learning?
The three types are supervised learning, unsupervised learning and reinforcement learning.
What is deep learning?
Deep learning is a type of machine learning that uses neural networks with many layers to learn from large data.
What is generative AI?
Generative AI is AI that can create new content such as text, pictures, music and computer code.
What is NLP?
Natural Language Processing is the field of AI that helps computers understand and produce human language.
What is a chatbot?
A chatbot is a program that can talk with a person by text or voice. ChatGPT and Gemini are examples.
What are the uses of AI?
AI is used in healthcare, banking, farming, transport, education and in voice assistants.
Is AI asked in SSC exams?
Yes. AI and emerging technologies are asked in the Computer Knowledge and General Awareness sections.
How many questions come from AI in SSC exams?
Usually one question comes from AI and new technology in SSC papers, but the number changes from year to year.
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Rahul Kumar
SSC Exam Expert & Content Editor
Rahul is a senior SSC exam strategist with 8+ years of experience helping aspirants crack CGL, CHSL and MTS exams. He writes in-depth notification breakdowns, exam pattern guides and preparation strategies.