Tag Archives: Learning

Artificial Intelligence and Machine Learning Basics

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Introduction

During the past few years, the terms artificial intelligence and machine learning have begun showing up frequently in technology news and websites. Often the two are used as synonyms, but many experts argue that they have subtle but real differences.

And of course, the experts sometimes disagree among themselves about what those differences are.

In general, however, two things seem clear: first, the term artificial intelligence (AI) is older than the term machine learning (ML), and second, most people consider machine learning to be a subset of artificial intelligence.

Artificial Intelligence vs. Machine Learning

Though AI is defined in many ways, the most widely accepted definition being “the field of computer science dedicated to solving cognitive problems commonly associated with human intelligence, such as learning, problem solving, and pattern recognition”, in essence, it is the idea that machines can possess intelligence.

The heart of an Artificial Intelligence based system is it’s model. A model is nothing but a program that improves its knowledge through a learning process by making observations about its environment. This type of learning-based model is grouped under supervised Learning. There are other models which come under the category of unsupervised learning Models.

The phrase “machine learning” also dates back to the middle of the last century. In 1959, Arthur Samuel defined ML as “the ability to learn without being explicitly programmed.” And he went on to create a computer checkers application that was one of the first programs that could learn from its own mistakes and improve its performance over time.

Like AI research, ML fell out of vogue for a long time, but it became popular again when the concept of data mining began to take off around the 1990s. Data mining uses algorithms to look for patterns in a given set of information. ML does the same thing, but then goes one step further – it changes its program’s behavior based on what it learns.

One application of ML that has become very popular recently is image recognition. These applications first must be trained – in other words, humans have to look at a bunch of pictures and tell the system what is in the picture. After thousands and thousands of repetitions, the software learns which patterns of pixels are generally associated with horses, dogs, cats, flowers, trees, houses, etc., and it can make a pretty good guess about the content of images.

Many web-based companies also use ML to power their recommendation engines. For example, when Facebook decides what to show in your newsfeed, when Amazon highlights products you might want to purchase and when Netflix suggests movies you might want to watch, all of those recommendations are on based predictions that arise from patterns in their existing data.

Artificial Intelligence and Machine Learning Frontiers: Deep Learning, Neural Nets, and Cognitive Computing

Of course, “ML” and “AI” aren’t the only terms associated with this field of computer science. IBM frequently uses the term “cognitive computing,” which is more or less synonymous with AI.

However, some of the other terms do have very unique meanings. For example, an artificial neural network or neural net is a system that has been designed to process information in ways that are similar to the ways biological brains work. Things can get confusing because neural nets tend to be particularly good at machine learning, so those two terms are sometimes conflated.

In addition, neural nets provide the foundation for deep learning, which is a particular kind of machine learning. Deep learning uses a certain set of machine learning algorithms that run in multiple layers. It is made possible, in part, by systems that use GPUs to process a whole lot of data at once.

If you’re confused by all these different terms, you’re not alone. Computer scientists continue to debate their exact definitions and probably will for some time to come. And as companies continue to pour money into artificial intelligence and machine learning research, it’s likely that a few more terms will arise to add even more complexity to the issues.

Discover How You Can Learn To Speak The Spanish Language Online

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Now you can learn to speak the Spanish language from
courses that are readily available online. Learning to speak Spanish as a
second language has never been more important. As our world grows
increasingly more interconnected, the benefits of learning to speak the
Spanish language are becoming increasingly apparent.

In this article, we will look at the various ways you can learn to speak
Spanish. We will examine the advantages and drawbacks of learning the
Spanish language through books. We will examine the pluses and
minuses of learning to speak Spanish in a classroom setting.
We will show you why we think learning Spanish online holds huge
advantages over the more traditional methods of learning this or any
language. And we will discuss exactly what you should look for in an
online program to teach you to speak Spanish naturally and effectively.
There are several ways to learn to speak the Spanish language. Many
books are available to help you learn Spanish. These books come in
assorted prices and quality. And while you can learn to speak Spanish by
studying various texts, the process is often hard work.

In addition, the process of learning any language in this way is
unnatural. Finally, there is the matter of pronunciation. When learning
a language from a book, you never get to hear the language. This makes
it very difficult for you to speak the language in the real world.
Learning how to speak Spanish in a classroom is another option. This
method of learning a language has many advantages over learning
Spanish from a book. If your are learning Spanish in a classroom, you
have a presumably competent instructor that will help you with your
pronunciation. You will be able to converse in Spanish with your
classmates.

Still, there are considerable drawbacks to learning to speak Spanish in
class. Classes can be very expensive. Costs can run into hundreds of
dollars at a university. You have to travel to the class which can be
costly. And you have to adhere to the class schedule. This can be nearly
impossible for many busy individuals.

The newest way to learn Spanish is to learn online. We think this is the
best choice for most people. If you learn to speak the Spanish language
online, you can learn at a time and place that is convenient to you. You
can review any lessons that give you difficulty.

The cost of many online courses is very reasonable when compared to
learning Spanish in a class. The best Spanish courses online are
interactive and can help you with your pronunciation. You will be able
to participate in a conversation in Spanish and be understood.
When you choose an online Spanish course be sure it includes all the
features you will need to learn Spanish in a fast, fun, and effective way.
Make sure your instructors are fluent in both English and Spanish.

You will want to make certain that your online Spanish course is
interactive.You will want the audio portion of the course to be playable
on your computer or mp3 player. And you will want a chance to sample
the lessons before you buy.

Learning the Spanish language can be a challenging and rewarding
experience. It has never been easier to learn another language. Learning
online is such as superior way to learn to speak any language. You can
be speaking in another tongue in just a few weeks. Explore the courses
available online and get started. In just a few short weeks you can be
speaking Spanish.