What Is Machine Learning and Does It Have Any Benefits?
Without throwing you off into the land of scientific lingo, Machine Learning (also referred to as ML) is the process in which a computer system figures out the answer to a statistical, mathematical or any other problem by itself. As we’ve begun to scratch the surface, there are few things that you should need to know prior to fully getting to understand what ML is.
The Algorithms Provide the Essence of the Process
Algorithms and statistical models are in a sense the “behavioral laws” by which a computer system acts upon, in order to determine/calculate an answer. Those laws are used by the system to create “data models” which provide a testing ground for the process itself; this way, the system can make many predictions, in order to come up with an acceptable outcome. Basically, a computer will simulate many “data experiments” and literally learn from the experience.
Where is Machine Learning Used In?
It’s not a secret that the complexity of Machine Learning can sound very nerdy, but ML is featured in a variety of technologies today. For example, the process of Machine Learning is a part of every virtual assistant we use today; Siri, Alexa, Echo, and so on. Once you ask a virtual assistant something, it will reach out into its database, perform a comparison, and provide you with the best answer, according to its “proverbial intelligence”.
Helping you Navigate Better
If you have the habit of traveling the same route on a daily basis, Machine Learning algorithms in your GPS app can calculate the most optimal road you should take. Now, this can be based on a variety of factors; current traffic, overall, traveling time, etc.
All Those Internet Suggestions
You’ve seen those “please accept cookies” messages on almost any website you visit, right? This type of data is used by the Machine Learning algorithms of your browser to provide you with suggestions which are based on your online habits. But besides that, there is even more.
Protecting You Against Numerous Threats
Machine Learning algorithms are present online as well as offline. More than a decade ago, you could easily become confused between the spam messages you received in your inbox and a letter from a friend you haven’t heard from in a long while. Today, the modern spam filters featured in almost every email service provider are a product of a long and constant machine learning process that has advanced enough to determine which of those messages may be harmful to you.
The Machine Learning process is not only beneficial to the optimization of our systems, but also to its own merit. The more data it has, the more “data experiments” it can conduct, therefore providing numerous answers. Today, every technology with smart capabilities has an ML algorithm within it, so it can create a more efficient working environment. Oh yeah – and if someday we do start living in a society where self-driving vehicles are considered common, the Machine Learning status of those systems will definitely be light years ahead of what we have now!
Want to know more about Artificial Intelligence?
What is Mobile Learning – Definition and History
There is definitely a general misconception about what mobile learning is. If you would ask someone on the street, chances are that they will refer to some kind of an application on their smartphone or tablet. The truth is, that mobile learning had existed long before even the first mobile phone!
Mobile learning (or as m-learning as it is known among the cool kids) isn’t an item or a service – it is a system of acquiring knowledge. In order to engage in mobile learning, all we need is an item that is used to store information – which we can be accessed and reviewed at any time. The important factor here, is that such an information carrier needs to be portable (thus, mobile). Let’s take a look at some m-learning items below.
Every Book – Ever
The smallest book that currently exists in the world is titled “Teeny Ted from Turnip Town”, and it is so small, that in order for you to read it, you will have to use a powerful industrial-grade microscope. The pages of the book itself are etched onto a pure crystalline silicon surface, by utilizing an ion beam!
The largest book is a collection of monolith marble slabs located in a pagoda located in Myanmar; while not a singular carrier of information, each of the 700 stone slabs is approximately 1.5 meters high, and 1 meter wide. Although considered a “book”, it wouldn’t be very mobile.
From the smallest to the largest book that exists in the world, books are considered to be the most versatile carriers of information for mobile learning. Manuals, textbooks, fiction – no matter what the genre is or in what form they come in, all books are an excellent example of the earliest form of mobile learning.
A Portable Computer – and Other Mobile Devices
It was 1981, and the world saw something extraordinary; the first laptop. Produced by the company Osborne Computers, the “Osborne 1” had a cool 5-inch display, a built-in keyboard, and it weighed almost 11 kg. Today’s laptops, although modern and slimmer than a regular-sized book, are becoming extinct – giving way to the favorite mobile learning devices of the world – smartphones and tablets.
Augmented and Virtual Reality Devices
In a class of their own, mobile learning finds its way from our backpacks and desks, directly onto our faces. With Google Glass and its popular alternatives leading the way, people have the possibility to engage in m-learning without even stopping. Digital information is projected in real time onto a person’s retina, allowing them to see the real world while informing themselves of today’s news at the same time. Although not as versatile as AR, virtual reality glasses also provide a neat platform for mobile learning – albeit with a much more limited range.
Today’s Future is Coming Soon
Mobile learning carriers change shape or form constantly, but their purpose remains the same. Whether it’s a bound bundle of paper sheets with writings on them or the “space age” technology we are experiencing today, people are engaged in m-learning at all times. Perhaps in the near future, we won’t even need to carry our devices at all, maybe at some point, they will literally be a part of us.