Live In AI

While Machine Learning is a subset of Artificial Intelligence , Deep Learning is a specialized subset of Machine Learning . Deep Learning layers algorithms to create a Neural Network, an artificial replication of the structure and functionality of the brain, enabling AI systems to continuously learn on the job and improve the quality and accuracy of results. This is what enables these systems to learn from unstructured data such as photos, videos, and audio files. Deep Learning, for example, enables natural language understanding capabilities of AI systems, and allows them to work out the context and intent of what is being conveyed. Deep learning algorithms do not directly map input to output. Instead, they rely on several layers of processing units. Each layer passes its output to the next layer, which processes it and passes it to the next. The many layers is why it’s called deep learning. When creating deep learning algorithms,developers and engineers configure the number

Machine Learning is a subset of AI uses computer algorithms to analyse data to make intelligent decision based on what it has learnt.Instead following the rule based algorithms machine learning build models to classify and prediction from data.Lets understand this by exploring the problem which can be solve with machine learning. Suppose that a heart is going to fail or not can be solved by machine learning. So the answer is 'yes'.Let we are giving the data set like BPM (beats per minute),BMI (body mass index),age,sex and result.With machine learning we are able to learn and create models that predicts the result.Machine learning relies on defining the behavioral rules by examining and comparing large dataset to find the common patterns. For example we can provide the machine learning program with large volume pictures of bird and can train the model to identify the bird label whenever bird input is provided.When a picture of bird is provided to the machine learni