What is AI?
Artificial intelligence (AI) refers to the simulation
of human intelligence in machines, like computer or computer-controlled robots
that are programmed to think and act like humans and mimic their actions.
What is Machine Learning?
Machine
learning is a subset of artificial intelligence presenting the area of computer
algorithms science focusing on analyzing and interpreting patterns in data to
facilitate predicting and making reasoned decisions.
What is Deep Learning:
Deep learning is a part of machine learning methods based on artificial
neural networks with representation learning. Deep Learning uses vast
volumes of data and complex algorithms to train a model.
How Does Machine Learning Differ from Artificial Intelligence?
Artificial intelligence (AI) and machine learning are often used
interchangeably. While AI interacts with the environment to learn
and take actions like humans to maximize the chance of successfully achieving
goals, ML allows a machine to automatically learn from past data
(information) to perform a particular task (like prediction) and give an
accurate result.
How does Machine Learning Work?
Using
sample data, ML solutions build, analyze, and compare mathematical models
giving an opportunity for rapid, informed, and highly accurate predictions of
possible outcomes. These algorithms don’t just analyze incoming data but
understand and use it, facilitating the system’s continuous self-improvement.
Leveraging the unlimited potential of ML solutions is the core of success for
modern industries
Steps we develop Machine Learning solutions:
·
Requirement analysis.
·
Data collection.
·
Data preparation and processing.
·
Feature engineering.
·
Model development.
·
Model Deployment.
·
Model evaluation.
·
Parameter tuning.
·
Make a prediction.