7 Free Google Programs to Change into a Machine Studying Engineer – KDnuggets

As a machine studying engineer, you possibly can construct efficient ML options to real-world challenges. Sounds thrilling, sure? So how do you grow to be a machine studying engineer, and what must you be taught?

This compilation of free programs from Google will enable 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 may also enable you to be taught superior machine studying strategies, together with designing, testing, and debugging machine studying pipelines.

Let’s start.

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

On this course, you’ll be taught:

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

Hyperlink: Introduction to Machine Studying

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 the way to implement them in TensorFlow.

This course is split into the next sections:

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

Hyperlink: Machine Studying Crash Course

Given a real-world drawback, how do you remedy it utilizing a machine studying framework? Firstly, how do you even determine if machine studying is even essential in any respect to unravel 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 efficient answer to the issue you are attempting to unravel
• Body machine studying issues
• Choose the fitting machine studying mannequin 
• Outline success metrics for the mannequin

Hyperlink: Introduction to Machine Studying Downside Framing

Machine studying is way more than throwing in uncooked information and coaching ML algorithms on it. You need to spend time to grasp your information and concentrate on function engineering to determine essentially the most related and essential options, course of, and rework them as wanted.

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

• Influence of knowledge information high quality and information dimension 
• Knowledge assortment and transformation throughout the ML workflow
• Accumulating uncooked information and developing usable dataset from it 
• Dealing with imbalanced information 
• Dealing with numerical and categorical information 

Hyperlink: Knowledge Preparation and Characteristic Engineering

Debugging and testing machine studying programs is extra concerned and completely different from testing conventional software program programs. 

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

Clustering is among 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 
• Getting ready information 
• Defining similarity 
• Ok-means clustering 
• Evaluating outcomes of clustering algorithms

Hyperlink: Clustering

From suggestions on Amazon and different on-line buying websites to collection suggestions on Netflix, suggestion programs are very related in our day-to-day lives. 

The Suggestion Programs course will train you what goes into such suggestion programs and how one can construct your personal purposes. Right here’s an outline of what you’ll be taught:

• Parts of a suggestion system
• Embeddings 
• TensorFlow implementations of advice algorithms

Hyperlink: Suggestion Programs

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 personal initiatives.

So strive constructing your personal initiatives to use what you’ve gotten realized within the course. It will enable you to each to strengthen your understanding and likewise construct out your challenge portfolio. Blissful 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 embody DevOps, information science, and pure language processing. She enjoys studying, writing, coding, and occasional! Presently, 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 partaking useful resource overviews and coding tutorials.