{"id":14827,"date":"2022-01-19T00:04:35","date_gmt":"2022-01-19T08:04:35","guid":{"rendered":"https:\/\/www.springboard.com\/blog\/?p=14438"},"modified":"2023-07-13T01:28:39","modified_gmt":"2023-07-13T08:28:39","slug":"is-machine-learning-hard","status":"publish","type":"post","link":"https:\/\/www.springboard.com\/blog\/data-science\/is-machine-learning-hard\/","title":{"rendered":"Is Machine Learning Hard? A Guide To Getting Started"},"content":{"rendered":"\n

Whenever there’s a mention of machine learning (ML) or artificial intelligence (AI), most people want to know: Is machine learning hard to learn? On the surface, it’s understandable why many people believe it to be a complicated subject to master. <\/p>\n\n\n\n

For one, there’s math involved. Secondly, you need to have extensive programming knowledge and be familiar with algorithms and distributed computing. Thirdly, experimentation is a crucial aspect of machine learning, and it requires a lot of time and effort to excel. <\/p>\n\n\n\n

While it’s true that you need to know some basic math\u2014including probability, statistics, and linear algebra\u2014have programming knowledge, and be comfortable working with algorithms, it’s not as challenging as you probably think to get into machine learning.<\/p>\n\n\n\n

There are plenty of resources out there that can teach you the basics of machine learning, including books, online courses, and even tutorials on specific algorithms.<\/p>\n\n\n\n

Once you have a basic understanding of machine learning, you can apply it to real-world problems. <\/p>\n\n\n\n

In this guide, we’ll answer your burning question: How hard is machine learning? Plus, we’ll share some helpful resources to get started.<\/p>\n\n\n\n

What Is Machine Learning?<\/strong><\/h2>\n\n\n\n
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Machine learning refers to teaching a computer to think and act like a human brain without human intervention. It’s a data analysis method that automates the process of analytical model building. Machine learning is a branch of AI that works on the principle that machine systems learn from data and make decisions based on the patterns they’ve picked up.<\/p>\n\n\n\n

For instance, image and speech recognition are notable use cases of machine learning<\/a> in today\u2019s world. <\/p>\n\n\n\n

Let’s say you want a software to identify objects in images. The first thing you would do is give it a lot of training data, which in this case would be a bunch of images with the objects you want it to identify already labeled. Then, you would use a machine-learning algorithm to teach the AI how to identify those objects.<\/p>\n\n\n\n

After the AI has been trained, you can then give it new images, and it will be able to identify the objects in them.<\/p>\n\n\n\n

What Makes Machine Learning Hard To Learn?<\/strong><\/h2>\n\n\n\n
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Is machine learning hard? Yes, it is. But what makes it so hard to learn? Here are some factors that can sometimes prove challenging when you’re getting started with machine learning.<\/p>\n\n\n\n