Machine Learning - A brief Introduction

Machine Learning is a significant branch of Artificial Intelligence (AI) and in high demand. According to the job postings in LinkedIn, there are over 43,000 job vacancies for professionals with Machine Learning skills in the United States alone whereas, in India, there are over 16,000 vacancies.

If this does not intrigue you enough to get into this domain, maybe the salary figures will. A Machine Learning Engineer makes an average of US$112,374 per annum and it can increase to US$154,000 per annum as per PayScale. It is safe to say that they are among the highest-paid IT professionals in the world.

Due to the rapid increase in the demand for these experts, several institutes are offering courses in this technology along with a few additional advantages to gain an edge over their competitors and help you reach your goal. Some of the benefits of taking up a Machine Learning course at Intellipaat include self-paced training, and instructor-led program, hands-on experience through assignments and projects, and more. Besides, it is curated by experts from this industry who have years of experience in this field. Moreover, Intellipaat’s Machine Learning community provides answers to all queries within 24-hours as promised and the solution helps in keeping up with the training program.

What are the differences between Machine Learning and Deep Learning?

ML:- at its most essential is the act of utilizing algorithm's to parse information, learn from it, and make a prediction about specific things

Whereas Deep Learning:- is a subfield of ML worried about the algorithm's motivated by the construction (structure) and function of the cerebrum (brain) called an Artificial neural network

How is Artificial Intelligence related to Machine Learning and Deep Learning?

The concepts of Artificial Intelligence, Machine Learning, and Deep Learning is often, if not always, confused with one another. Consider AI as a set. Machine Learning is just a part of the AI set. You can refer to it as a subset of AI. On the other hand, Deep Learning is a subset of ML, transitively becoming a subset of AI. So, AI is an umbrella of concepts of which Machine Learning and Deep Learning plays a major part.

What are some economically important applications of machine learning?

Machine learning is quite a vast field. Its applications can be related to many other areas. Some applications of machine learning are:

• Web Search Engine - Google, Apple Safari
• Photo Tagging Applications - Google Photos, Picasa
• Image Processing - Facial Recognition, Object Detection
• Spam Detection - Banking, Finance
• Computer Security - Antivirus Protection
• Video Surveillance - Real-Time Face Detection
• Social Media Services - Facebook, Twitter
• Email Spam and Malware Filtering - Gmail
• Online Customer Support - Chatbot
• Search Engine Result Refining - Redirect links
• Product Recommendations - Amazon, Netflix
• Online Fraud Detection - Phishing, Credit Card Fraud

Machine learning as a field is largely focused on the task of using data to build a model that can map inputs to a desired set of outputs. Machine learning is growing constantly, as folks imagine new applications for machine learning.

Business Analyst Specialist, Trainer, Educator