Find Your Machine Learning Mojo

Step 2: Guide Me

So you’ve completed a course on machine learning, but now you need to get some practice. 

First things first…

….You have completed a course on machine learning – congratulations!

Can we just take a moment to congratulate you? That’s amazing!

But now what?

Now it is time to dive into getting some practical experience and learn how to engineer projects for real impact.

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How to use the AI Claire resources

At Artificially Intelligent Claire, I am busy creating the go-to resource centre. Here you can get support on identifying and structuring machine learning projects that will have real impact with AI.

The best way to use these resources is to help you level up quickly and strategically in your AI career.

I will cover topics like:

  • Practice projects
  • Personal branding and portfolio building
  • Practical tips on how to reframe your mindset to one that will have an impact

To get you started, here is a free guide that will give you a flavour for my teaching style.

This guide comes with a free three-day boot camp course that will teach you how to get the most from it.

It will also help you understand if the Artificially Intelligent method is right for you. Click the link below to sign up.

machine learning step by step guide

Where do you start on the Guide Me level?

For where you are now, I recommend these two posts to get you started.

  1. Practice projects: Where to find them
  2. Building a strategic portfolio: Getting the right mindset and process that will ensure you do the right projects

To see resources suitable for your level – check the tags. Your resources will have the tags: All Levels or Guide Me

Want to take things further? Learn more about my signature offer.

mastermind sign up

If you want to explore the resources in more detail, I think you will be interested in these categories:

In a hurry?

Try these flash posts.

Each flash post has the tag ‘Quick Reads’.

Quick to digest, and highly practical – a great place to start if you’re in a rush!

  1. Build a portfolio
  2. Practise Projects
  3. Data Science Career tips

Build a portfolio