machine learning concepts

what is machine Learning

Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.The process of learning begins with observations or data, such as examples, direct experience, or instruction, in order to look for patterns in data and make better decisions in the future based on the examples that we provide. The primary aim is to allow the computers learn automatically without human intervention or assistance and adjust actions accordingly.

Deep Learning:

The field of artificial intelligence is essentially when machines can do tasks that typically require human intelligence. It encompasses machine learning, where machines can learn by experience and acquire skills without human involvement. Deep learning is a subset of machine learning where artificial neural networks, algorithms inspired by the human brain, learn from large amounts of data. Similarly to how we learn from experience, the deep learning algorithm would perform a task repeatedly, each time tweaking it a little to improve the outcome. We refer to ‘deep learning’ because the neural networks have various (deep) layers that enable learning.

Linear Regression-Single Variables:

Topic Highlights: 1) What is linear regression 2) Mean squared error 3) Predict home prices by minimizing mean squared error (or MSE) 4) Exercise at the end to predict canada's per capita income

Linear regression-Multiple Variables:

Topic Highlights: 1) Data Preprocessing Handle Missing Values 2) Linear Regression Using Multiple Variables 3) Train Lemear Model 4) Exercise to predict hired candidates salary based on few parameters