‘Machine Learning’

 

What is machine learning?

Machine learning (ML) is a type of artificial intelligence (AI) that allows software applications to become more accurate at predicting outcomes without being explicitly programmed to do so. Machine learning algorithms use historical data as input to predict new output values.

Type.

1.    Supervised learning

2.    Unsupervised learning

3.    Reinforcement learning

Machine learning lifecycle

Machine learning has given the computer systems the abilities to automatically learn without being explicitly programmed. But how does a machine learning system work? So, it can be described using the life cycle of machine learning. Machine learning life cycle is a cyclic process to build an efficient machine learning project.

  • Gathering Data
  • Data preparation
  • Data Wrangling
  • Analyse Data
  • Train the model
  • Test the model
  • Deployment





 

 

 

 

 


Exploratory Data Analysis (EDA) is an approach to analyze the data using visual techniques. It is used to discover trends, patterns, or to check assumptions with the help of statistical summary and graphical representations.

What is Data Preparation

Data preparation is the process of preparing raw data so that it is suitable for further processing and analysis. Key steps include collecting, cleaning, and labeling raw data into a form suitable for machine learning (ML) algorithms and then exploring and visualizing the data.

 

Model Building :
In this phase data science team needs to develop data sets for training, testing, and production purposes. These data sets enable data scientist to develop analytical method and train it, while holding aside some of data for testing the model.

What is Model Evaluation

Model evaluation is the process of using different evaluation metrics to understand a machine learning model’s performance, as well as its strengths and weaknesses. Model evaluation is important to assess the efficacy of a model during initial research phases, and it also plays a role in model monitoring.

Machine Learning Techniques

Machine learning is a data analytics technique that teaches computers to do what comes naturally to humans and animals: learn from experience. Machine learning algorithms use computational methods to directly "learn" from data without relying on a predetermined equation as a model.