Àrtificial intelligence Presentation.pptx

Artificial intelligence (AI) and machine learning (ML) are used interchangeably, but they differ with uses, data sets, and more.

Machine learning (ML) is a specific branch of artificial intelligence (AI). ML has a limited scope and focus compared to AI. AI includes several strategies and technologies that are outside the scope of machine learning.

Here are some key differences between the two.

Objectives
The goal of any AI system is to have a machine complete a complex human task efficiently. Such tasks may involve learning, problem-solving, and pattern recognition.

On the other hand, the goal of ML is to have a machine analyze large volumes of data. The machine will use statistical models to identify patterns in the data and produce a result. The result has an associated probability of correctness or degree of confidence.
Methods
The field of AI encompasses a variety of methods used to solve diverse problems. These methods include genetic algorithms, neural networks, deep learning, search algorithms, rule-based systems, and machine learning itself.

Within ML, methods are divided into two broad categories: supervised and unsupervised learning. Supervised ML algorithms learn to solve problems using data values labeled input and output. Unsupervised learning is more exploratory and attempts to discover hidden patterns in unlabeled data.

Implementations
The process of building an ML solution typically involves two tasks:

Select and prepare a training dataset
Choose a preexisting ML strategy or model, such as linear regression or a decision tree

1. Artificial intelligence Submitted By:- Ankita (125) & Raman (72) M.com (B) Submitted To:- Dr. Tijender Sharma Sir

2. A r tificial Intelligence The study of computer systems that attempt to model and apply the intelligence of the human mind. It is a branch of computer scie nce dealing with the sim ulation of inteligent behaviour in computers.
The capability of a machine to imitate intelligent human behaviour.

3. Examples of Artificial intelligence Manufacturing robots Healthcare Self-driving cars Finance Travel and Transporation E-Commerce

4. Sophia (Robot) HANSON ROBOTICS: BUILDING HUMANOID ROBOTS Industry:  Robotics, Artificial Intelligence Location:  Hong Kong How it's using AI:   Hanson Robotics  is building humanoid robots with artificial intelligence for both the commercial and consumer markets.

5. Advantages of artificial intelligence Re duction in H uman error . Takes risks instead of Humans. Available 24 × 7 . Helping in repetitive jobs Digital Assistance. Faster D ecisions

6. Dis Advantages of artificial intelligence High Costs of Creation. Unemployment . Making humans lazy . No emotions . Lacking Out of Box Thinking.

7. Conclusion Every new invention or breakthrough will have both pros and cons , but we as humans need to take care of that and use the positive sides of the invention to create a better world. Artificial intelligence has massive potential advantages. The key for humans will ensure the “ rise of the robots ” doesn’t get out of hand.