Machine Learning Introduction: What Is Machine Learning? Machine Learning Examples and Applications
Knowledge

Machine Learning Introduction: What Is Machine Learning? Machine Learning Examples and Applications

Interest in learning machine learning has skyrocketed in the years since Harvard Business Review article named ‘Data Scientist’ the ‘Sexiest job of the 21st century’. But if you’re just starting out in machine learning, it can be a bit difficult to break into.
Published: Aug 05, 2020
Machine Learning Introduction: What Is Machine Learning? Machine Learning Examples and Applications

What Is Machine Learning

Machine learning algorithms are programs that can learn from data and improve from experience, without human intervention.

Machine learning (ML) is the study of computer algorithms that improve automatically through experience. It is seen as a subset of artificial intelligence. Machine learning algorithms build a mathematical model based on sample data, known as "training data", in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide variety of applications, such as email filtering and computer vision, where it is difficult or infeasible to develop conventional algorithms to perform the needed tasks.

Machine learning is closely related to computational statistics, which focuses on making predictions using computers. The study of mathematical optimization delivers methods, theory, and application domains to the field of machine learning. Data mining is a related field of study, focusing on exploratory data analysis through unsupervised learning. In its application across business problems, machine learning is also referred to as predictive analytics.

Machine Learning Applications

  1. Virtual Personal Assistants
  2. Siri, Alexa, Google Now are some of the popular examples of virtual personal assistants. As the name suggests, they assist in finding information, when asked over voice. All you need to do is activate them and ask “What is my schedule for today?”, “What are the flights from Germany to London”, or similar questions. For answering, your personal assistant looks out for the information, recalls your related queries, or send a command to other resources (like phone apps) to collect info. You can even instruct assistants for certain tasks like “Set an alarm for 6 AM next morning”, “Remind me to visit Visa Office day after tomorrow”.

    Machine learning is an important part of these personal assistants as they collect and refine the information on the basis of your previous involvement with them. Later, this set of data is utilized to render results that are tailored to your preferences. Virtual Assistants are integrated to a variety of platforms.

  3. Predictions while Commuting
  4. Traffic Predictions: We all have been using GPS navigation services. While we do that, our current locations and velocities are being saved at a central server for managing traffic. This data is then used to build a map of current traffic. While this helps in preventing the traffic and does congestion analysis, the underlying problem is that there are less number of cars that are equipped with GPS. Machine learning in such scenarios helps to estimate the regions where congestion can be found on the basis of daily experiences.

    Online Transportation Networks: When booking a cab, the app estimates the price of the ride. When sharing these services, how do they minimize the detours? The answer is machine learning. Jeff Schneider, the engineering lead at Uber ATC reveals in a an interview that they use ML to define price surge hours by predicting the rider demand. In the entire cycle of the services, ML is playing a major role.

  5. Videos Surveillance
  6. Imagine a single person monitoring multiple video cameras! Certainly, a difficult job to do and boring as well. This is why the idea of training computers to do this job makes sense.

    The video surveillance system nowadays are powered by AI that makes it possible to detect crime before they happen. They track unusual behaviour of people like standing motionless for a long time, stumbling, or napping on benches etc. The system can thus give an alert to human attendants, which can ultimately help to avoid mishaps. And when such activities are reported and counted to be true, they help to improve the surveillance services. This happens with machine learning doing its job at the backend.

  7. Social Media Services
  8. From personalizing your news feed to better ads targeting, social media platforms are utilizing machine learning for their own and user benefits. Here are a few examples that you must be noticing, using, and loving in your social media accounts, without realizing that these wonderful features are nothing but the applications of ML.

    People You May Know: Machine learning works on a simple concept: understanding with experiences. Facebook continuously notices the friends that you connect with, the profiles that you visit very often, your interests, workplace, or a group that you share with someone etc. On the basis of continuous learning, a list of Facebook users are suggested that you can become friends with.

    Face Recognition: You upload a picture of you with a friend and Facebook instantly recognizes that friend. Facebook checks the poses and projections in the picture, notice the unique features, and then match them with the people in your friend list. The entire process at the backend is complicated and takes care of the precision factor but seems to be a simple application of ML at the front end.

  9. Email Spam and Malware Filtering
  10. There are a number of spam filtering approaches that email clients use. To ascertain that these spam filters are continuously updated, they are powered by machine learning. When rule-based spam filtering is done, it fails to track the latest tricks adopted by spammers. Multi Layer Perceptron, C 4.5 Decision Tree Induction are some of the spam filtering techniques that are powered by ML.

    Over 325, 000 malwares are detected everyday and each piece of code is 90–98% similar to its previous versions. The system security programs that are powered by machine learning understand the coding pattern. Therefore, they detects new malware with 2–10% variation easily and offer protection against them.

  11. Online Customer Support
  12. A number of websites nowadays offer the option to chat with customer support representative while they are navigating within the site. However, not every website has a live executive to answer your queries. In most of the cases, you talk to a chatbot. These bots tend to extract information from the website and present it to the customers. Meanwhile, the chatbots advances with time. They tend to understand the user queries better and serve them with better answers, which is possible due to its machine learning algorithms.

  13. Search Engine Result Refining
  14. Google and other search engines use machine learning to improve the search results for you. Every time you execute a search, the algorithms at the backend keep a watch at how you respond to the results. If you open the top results and stay on the web page for long, the search engine assumes that the the results it displayed were in accordance to the query. Similarly, if you reach the second or third page of the search results but do not open any of the results, the search engine estimates that the results served did not match requirement. This way, the algorithms working at the backend improve the search results.

  15. Product Recommendations
  16. You shopped for a product online few days back and then you keep receiving emails for shopping suggestions. If not this, then you might have noticed that the shopping website or the app recommends you some items that somehow matches with your taste. Certainly, this refines the shopping experience but did you know that it’s machine learning doing the magic for you? On the basis of your behaviour with the website/app, past purchases, items liked or added to cart, brand preferences etc., the product recommendations are made.

  17. Online Fraud Detection
  18. Machine learning is proving its potential to make cyberspace a secure place and tracking monetary frauds online is one of its examples. For example: Paypal is using ML for protection against money laundering. The company uses a set of tools that helps them to compare millions of transactions taking place and distinguish between legitimate or illegitimate transactions taking place between the buyers and sellers.

Published: Aug 05, 2020 Source :dataquest Source :edureka Source :medium Source :wikipedia

  • Technology Industry
  • Automation Industry
  • ICT Industry
  • Smart Industry
  • Tech Industry
  • Global
  • Smart Technology
  • Sensing Technology

Further reading

You might also be interested in ...

Headline
Knowledge
What Is the Cryogenic Treatment Process?
Low-temperature treatment is a sub-zero process, which is carried out immediately after quenching and is carried out by continuous tempering. The ultra-cold treatment has a significant improvement in the wear strength of the workpiece and has a breakthrough benefit for the stability of the mold size.
Headline
Knowledge
What is Motion Control?
Motion control (MC) is a branch of automation. It uses some equipment commonly known as servo mechanisms such as hydraulic pumps, linear actuators, or motors to control the position or speed of the machine.
Headline
Knowledge
What Is the Electroplating Process of Plastic ABS?
In recent years, plastic electroplating has been widely used in decorative electroplating of plastic parts. ABS plastic is the most widely used kind of plastic electroplating.
Headline
Knowledge
RFID Tag Introduction: The Role of RFID In New Retail Supply Chains
There are two kinds of RFID systems that exist- passive and active. If you're new to RFID, you might be wondering what the difference is between these types, and which one is best for your application. Below, we provide a short answer.
Headline
Knowledge
What Is the Basics and Advantage of Between Liquid and Powder Coating?
Metal fabricators looking to take on finishing should know about two of the most common finishing alternatives—liquid and powder coating—and the requirements involved for a company hoping to apply one or both.
Headline
Knowledge
Check The Important Objectives of Tool Designing In The Manufacturing Process
The discipline of tooling design is fundamental to manufacturing. The cost of manufacturing and of the end product depends heavily upon tool design.
Headline
Knowledge
What Is Precision Stamping Technology?
Metal stamping refers to the use of the power of punching machinery and the use of molds as metal plate forming tools to produce punching separation or plastic deformation effects to achieve the production technology of parts in terms of size, shape, and performance requirements.
Headline
Knowledge
Looking Forward to the Global Laser Industry Trend
In response to the development of international industry demand, the laser industry and technology have begun to develop towards 5G semiconductors and smart vehicle process requirements. Taiwan’s laser industry has developed for many years and has a solid foundation, but to continue to keep up with the international pace, the need for independent laser technology step up.
Headline
Knowledge
Which Plastic Machinery Does the Plastics Industry Cover?
Plastic molding processing technology has been widely used in the production of many high-tech products, such as auto parts, 3C electronic products, connectors, displays, mobile phones, plastic optical lenses, biomedical application products, and general daily necessities, etc. With the trend of diversification of product usage and variability in functional requirements, plastic molding processing technology is booming day by day.
Headline
Knowledge
What Are the Structural Characteristics of Horizontal Lathes?
The advantage of the gearbox is that it can accurately control the speed of the main shaft without excessively high main shaft speed, belt friction consumption, and slippage. Because the main shaft is placed horizontally, it is also called a horizontal lathe.
Headline
Knowledge
Machine Tool Knowledge - Boring (manufacturing): Machine Type, Machine Definition, and Tunnel Boring Machine
In machining, boring is the process of enlarging a hole that has already been drilled by means of a single-point cutting tool, such as in boring a gun barrel or an engine cylinder.
Headline
Knowledge
Flatness Inspection Method of Worktable
The machine tool industry is regarded as an indicator of the country’s degree of industrialization. In recent years, the aerospace and automotive industry demands and today, as the machining accuracy requirements are increasing day by day, mechanical geometric accuracy is still the most important key.
Agree