Practical Guide to Machine Learning

Practical Guide to Machine Learning

Start your Machine Learning career right now!

Most of us have seen the quick rise of Machine Learning jobs but are still new to this particular field. The problem is that most of the job positions in ML are not “entry level” so many people are working hard to train themselves up in the field. Here’s some helpful information for you about what the different stages of ML include.

Beginning: Getting Started

In every new field there is someone who starts as newbie and adds to their knowledge. If you are the one who has to learn the basics and you feel stuck, check the list below to see what you need to do next to move on.

Yes, you may need more input. The good news is that these sources are abundant on the web.

Teach Yourself Through Popular Videos and Books

Books are great for getting familiar with the field. Videos offer more instructional guidance and can often be a good source of inspiration. Make sure that you watch tutorials on ML techniques, and if you make a mistake you have the ability to fix it. Videos (especially courses on Udemy or Coursera) may cost money but they are often free in both formats.

Here are some resources to find a good book on ML .

Learn From the Experts

If you can’t afford the books but you know you want to take classes in ML, it is good to find a good mentor, preferably a former professional in the field. When you are faced with a problem you do not know how to solve and need a question answered, a good mentor will be helpful.

In many cases it is also advantageous to take online courses if you don’t have the funds to do that. By taking the course you will often be able to access further training so you get the most out of the course.

Advanced: Learning to Master

The next step into the field is learning how to master the tool (aka the computer) that you are using.

Some tips:

• Learn how to code.
• Learn Python.
• Go through Machine Learning code from different tutorials.
• Study data mining.
• Get good at statistics.
• Learn Machine Learning theory and practice.

This is the stage that many people at this point have completed all their training and can now do some real machine learning. It’s important that you don’t let this become a hurdle and that you continue to learn and practice as you become more comfortable with ML.

It’s probably obvious why this stage is important in your career so make sure you still are up to date in your latest developments.

Advanced: Converting a Good Start into the Best Career

This is one of the most important stages in a career. In this stage, you’ll transition from a student to an expert in your field. You’ll have to convince your boss that you are qualified to move ahead.

• Learn from your supervisors and find someone who knows about the specific project you’re working on.
• Learn how to communicate and present yourself
• Learn how to use the new skills you have acquired to solve new problems

Are you one of the lucky ones who has all of these things?

Great, there’s your path to be a master of machine learning.