The Easiest Way to Understand Machine Learning | Tutort Academy

1. The Easiest Way to Understand Machine Learning

2. Artificial Intelligence Certification Course Online

3. Machine learning and artificial intelligence are probably terms you’ve heard before, but are you sure you understand what they mean? You’re not alone if you’re having trouble understanding them. • There’s so much buzz that it’s difficult to tell what’s science and what’s fiction. • Machine learning isn’t some sort of enchanted box. • Machine learning is essentially a thing-labeler that takes your description of something and suggests a label for it.

4. But, if we’d called it thing-labeling from the start, would you have been interested enough to read about it? Probably not, which proves that a little marketing and glitz can help this technology get the attention it deserves. • And how about artificial intelligence (AI) ? • While academics debate the nuances of what AI is and isn’t, the term is being used in industry to refer to a specific type of machine learning.

5. In fact, the majority of the time, they are used interchangeably. • It’s also about labeling things in AI. Something humanoid, something sci-fi with a mind of its own? Today’s AI isn’t like that. However, as a species, we look for human characteristics in everything. • We see faces in toast, bodies in clouds, and we might end up talking to a sock if we sew two buttons onto it.

6. It’s important to remember that the sock puppet isn’t a person, and neither is AI. Is that a disappointment? Keep your chin up! The genuine article is far more useful. • Machine learning is a new programming framework, a new way of expressing yourself to a computer. • A programmer would think hard about the pixels and labels, communicate with the universe, channel inspiration, and finally handcraft a model in the traditional programming approach.

7. A model is simply a fancy term for a recipe or a set of instructions that your computer must follow in order to convert pixels into labels. • Explain with examples Deep Learning Online Course

8. You just took in some pretty complex data through your senses and labeled it ‘cat,’ as if by magic. • You made it look so simple! What if we wanted a computer to perform the same task, categorizing (labeling) photos as cat or not-cat? • Isn’t it better if you could just tell the computer, “Here, look at a bunch of examples of cats, look at a bunch of examples of not-cats, and figure it out for yourself”? Machine learning is all about figuring out how to do that.

9. It’s a completely different approach to programming. • You now programme with examples rather than explicit instructions, and the ML algorithm discovers patterns in your data and transform them into commands you couldn’t write yourself. Recipes will no longer be made by hand! • It’s about communicating with computers in ways we couldn’t before. • We enjoy having computers perform tasks for us.

10. What’s so exciting about that?

11. But how can we give instructions if the instructions are extremely difficult to come up with? What if they’re indescribable? • The goal of AI and machine learning is to automate the ineffable. They’re about using examples rather than instructions to explain yourself. • This opens up a whole new world of tasks for which we previously couldn’t get computers to help us because we couldn’t express our instructions.

12. All of these tasks are now possible thanks to machine learning, which represents a significant step forward in human development. It is the future, and it has arrived! • Tutort Academy is a Data Science Coaching In Bangalore that provides Artificial Intelligence And Machine Learning Courses Online for the working professionals and helps them to achieve a kind of job orientation with services like 100% assured placement assistance, all-time live classes, lifetime access to LMS, etc.

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