7 Free Google Programs to Grow to be a Machine Studying Engineer

admin
Posted by admin




Picture by Creator

 

As a machine studying engineer, you’ll be able to construct efficient ML options to real-world challenges. Sounds thrilling, sure? So how do you change into a machine studying engineer, and what do you have to be taught?

This compilation of free programs from Google will assist you to go from a machine studying beginner to a talented ML engineer who can perceive and body real-world issues as issues that may be tackled utilizing machine studying. These programs will even assist you to be taught superior machine studying methods, together with designing, testing, and debugging machine studying pipelines.

Let’s start.

 

1. Introduction to Machine Studying

 

In case you’re new to machine studying, take into account beginning with this beginner-friendly Introduction to Machine Studying course. 

On this course, you’ll be taught:

  • The forms of machine studying 
  • Key ideas of supervised machine studying 
  • How machine studying is totally different from conventional drawback fixing approaches

Hyperlink: Introduction to Machine Studying

 

2. Machine Studying Crash Course

 

The Machine Studying Crash Course is a hands-on introduction to machine studying utilizing the TensorFlow framework. You’ll learn the way machine studying algorithms work and implement them in TensorFlow.

This course is split into the next sections:

  • Machine studying ideas 
  • Machine studying engineering 
  • Machine studying in the actual world

Hyperlink: Machine Studying Crash Course

 

3. Machine Studying Downside Framing

 

Given a real-world drawback, how do you clear up it utilizing a machine studying framework? Firstly, how do you even resolve if machine studying is even obligatory in any respect to resolve the actual drawback?

That is the place the course on Machine Studying Downside Framing turns into related. On this course, you’ll discover ways to:

  • Determine if machine studying is an effective resolution to the issue you are making an attempt to resolve
  • Body machine studying issues
  • Choose the fitting machine studying mannequin 
  • Outline success metrics for the mannequin

Hyperlink: Introduction to Machine Studying Downside Framing

 

4. Information Preparation and Characteristic Engineering

 

Machine studying is way more than throwing in uncooked information and coaching ML algorithms on it. It’s important to spend time to grasp your information and deal with characteristic engineering to establish probably the most related and vital options, course of, and rework them as wanted.

The Information Preparation and Characteristic Engineering course will train you the next:

  • Affect of information information high quality and information dimension 
  • Information assortment and transformation throughout the ML workflow
  • Gathering uncooked information and developing usable dataset from it 
  • Dealing with imbalanced information 
  • Dealing with numerical and categorical information 

Hyperlink: Information Preparation and Characteristic Engineering

 

5. Testing and Debugging

 

Debugging and testing machine studying techniques is extra concerned and totally different from testing conventional software program techniques. 

The course on Testing and Debugging machine studying fashions will train you the next:

  • Debugging machine studying fashions 
  • Implementing testing to assist with debugging 
  • Optimizing machine studying fashions 
  • Monitoring mannequin metrics

Hyperlink: Testing and Debugging

 

6. Clustering

 

Clustering is likely one of the most generally used unsupervised studying algorithms. Within the hands-on introduction to clustering within the Clustering course, you’ll be taught the next:

  • Clustering for machine studying 
  • Making ready information 
  • Defining similarity 
  • Okay-means clustering 
  • Evaluating outcomes of clustering algorithms

Hyperlink: Clustering

 

7. Advice Techniques

 

From suggestions on Amazon and different on-line procuring websites to sequence suggestions on Netflix, advice techniques are very related in our day-to-day lives. 

The Advice Techniques course will train you what goes into such advice techniques and how one can construct your individual functions. Right here’s an summary of what you’ll be taught:

  • Elements of a advice system
  • Embeddings 
  • TensorFlow implementations of advice algorithms

Hyperlink: Advice Techniques

 

Wrapping Up

 

I hope you discovered this round-up of free programs useful. Most of those programs are designed to offer you sufficient alternatives to follow and construct your individual initiatives.

So strive constructing your individual initiatives to use what you’ve discovered within the course. This may assist you to each to strengthen your understanding and in addition construct out your mission portfolio. Glad studying and coding!
 
 

Bala Priya C is a developer and technical author from India. She likes working on the intersection of math, programming, information science, and content material creation. Her areas of curiosity and experience embrace DevOps, information science, and pure language processing. She enjoys studying, writing, coding, and occasional! At present, she’s engaged on studying and sharing her information with the developer group by authoring tutorials, how-to guides, opinion items, and extra. Bala additionally creates participating useful resource overviews and coding tutorials.