Skip to main content

MACHINE LEARNING

MACHINE LEARNING


ALL YOU NEED TO KNOW!

-->Machine Learning algorithms use the statistics to fine the pattern in massive amounts of data. Data may encompasses a lot of things-- numbers, words, images, clicks etc.., If it can be digitally stored, it can be fed into a machine-learning algorithm.



-->Machine learning is the process that powers many of the service we use today--recommendation systems like those on Netflix, YouTube. and Spotify; search engines like Google and Baidu; social-media feeds like Facebook and Twitter; voice assistants like Siri and Alexa and list may goes on.

-->In all of these instances, each platform is collecting as much data about you as possible -- what genres you like watching, what links you are clicking, which statuses you are reading to-- and using machine learning to make a highly educated guess about what you might want next. Or, in the case of a voice assistant, about which words match best with the funny sounds coming out of your mouth.

-->Machine learning is the art of study of algorithms that learn from examples and experiences.

-->Machine learning is based on the idea that exists some patterns in the data that were identifies and used for future predictions.

-->The difference from hardcoding rules is that the machine learns on its own to find such rules

AI vs MACHINE LEARNING:

  • Artificial Intelligence are everywhere on daily routine using mobile devices, smart phone through internet etc.., 
  • AI and Machine learning are used interchangeably by big companies that want to announce their latest innovation. However, Machine learning and AI are different in some ways.
  • It is the science of training machines to perform human tasks. The term was invented in the 1950s when scientists began exploring how computers could solve problems on their own.


  • AI is a computer that is given human - like properties. It works effortlessly and seamlessly to calculate the world around us. AI is the concept that a computer can do the same.
  •  It can be said that AI is the large science that mimics human aptitudes.
  • It is a distinct subset of AI that trains a machine how to learn. Machine learning models look for patterns in data and try to conclude. 
  • In a nutshell, the machine does not need to be explicitly programmed by people. The programmers give some examples, and the computer is going to learn what to do from those samples.


TECH FACTS:

"World's first computer game SPACEWAR! was developed by Steve Russel at Massachusetts Institute of Technology (MIT) at the age of just 21 !!"

--RD


Comments

Popular posts from this blog

ETHICAL HACKING

  ETHICAL HACKING E thical H acking is a structured hacking performed to expose vulnerabilities in a system, using a tools and techniques with organizations knowledge.  The act of hacking is defined as the process of finding a set of vulnerabilities in a target system and systematically exploiting them. Ethical hacking as a discipline discerns itself from hacking by adding a vital element to the process. The process becomes a legal activity and since the hacker takes permission prior to hacking into system, it is legally made sure that he has no malicious intent. This is normally performed by making the ethical hacker sign contracts that legally bind him to work towards the improvement of the security of the company. ETHICAL HACKER: An Ethical hacker is a computer security specialist, who hacks into a system with the consent or permission of the owner to disclose vulnerabilities in the security of the system in order to improve it.  Types of Hackers: White hat hackers Black hat hackers

AWS careers and scope

AWS Careers and Scope  AWS on growth made tremendous development all over the world. Spending on public services and infrastructure will more than double from billions of billion in future. The main areas of investment in the public cloud for this five-year window of high growth will be: Professional services Telecommunication Retail Resource industries Personal and consumer services Image courtesy : Amazon A career in the public cloud has a very high future demand and choosing a new career path, definitely need a look on AWS. This blog provides you what are the scope and career on AWS. Why AWS? #1 Used Public Cloud Platform #1 Fastest- Growing Public Cloud  Demand for AWS jobs Outstrips Available Professionals:  In the public cloud job market, there are between six to 12 times more job posting available than there are job seekers, and 60 percent of these job postings are AWS- related. Choose a Career Path that Suits You Best: There are lot of AWS career paths from which you can choose

Cloud computing in healthcare

 CLOUD COMPUTING IN HEALTHCARE G lobally many healthcare have moved to cloud computing technology. Over the few years, the evolution of cloud technology in healthcare has been increasing due to its mega usage. A recent research has shown, the global is expected to grow by USD 26 billion during the year 2020-2025. And mainly due to COVID-19 Pandemic has reinforced this trend. WHY CLOUD COMPUTING IMPORTANT FOR HEALTHCARE?   In healthcare industry, a significant amount of data is generated daily, the large amount of data and its remote accessibility free up providers and patients engage with healthcare through cloud technology. Benefits of cloud computing in healthcare: F irst and foremost data storage plays a major role. Healthcare providers have to deal with electronic medical records, patient portals, mobile apps, and big data analytics.  There is lot of data to manage and analyse, such as healthcare institutions to store all the data while avoiding extra costs of maintaining physical