Are you curious about what is machine learning and what kinds of problems can it solve? Google analyzes machine learning in a slightly different manner – as of being about logic, rather than just data. In this course How Google does Machine Learning we discuss why such a framing is useful for data scientists when thinking about building a pipeline of machine learning models. Then, we will take up the five phases of converting a candidate use case to be driven by machine learning, and analyze why this phase is of such importance that it cannot be skipped. We end with recognition of the biases that machine learning can amplify and how to recognize this.


Radiant Techlearning offers How Google does Machine Learning training program in Classroom & Virtual Instructor Led / online mode.


Duration: 5 Days


Learning Objectives

  • Machine Learning


Audience Profile:

  • Programmers, Data Engineers and Machine Learning enthusiasts interested in its practical application.
  • Professionals who want to learn and apply Machine Learning in their enterprise.

Course Content

Introduction to specialization

  • Introduction to the specialization and the Google experts who will be instructing in this specialization.


What it means to be AI first

  • Professionals will get to learn what is meantby saying that Google’s company strategy is to be AI-first, and what that actually means in practice.


How Google does ML

  • This module is about the organizational know-how Google has acquired over the years.


Inclusive ML

  • This module will discuss why machine learning systems aren’t fair by default and some of the things you have to keep in mind as you infuse ML into your products.


Python notebooks in the cloud

  • This module covers Cloud Datalab, which is the development environment you will use in this specialization.


Q: What skills users need for machine learning?


A: Machine learning engineers must have good skills in computer science and programming, mathematics and statistics, data science, deep learning, and problem solving.


Q: What are the popular algorithms of machine learning?


A: Top 5 machine learning algorithms for beginners are listed below:-

  • Linear regression. …
  • Logical regression. …
  • Classification and regression trees. …
  • K-nearest neighbour (KNN) …
  • Naïve Bayes.


Q: How much RAM do I need for machine learning?


A: For Deep learning applications it is suggested to have a minimum of 16GB memory. Regarding the Clock, The higher the better. It ideally signifies the Speed — Access Time but a minimum of 2400 MHz is advised.


Q: How google explained the working of machine learning?


A: Google’s Corrado stressed that a big part of most machine learning is a concept known as “gradient descent” or “gradient learning.” This means that the system makes those small suitable adjustments over and over, until it gets things right. … It takes a long time for machines to learn, to go through all these steps.


Q: What are the various learning options or training mode available?


A: Radiant Techlearning offers customized solutions and training programmes for individuals, teams and businesses depending upon what they require. Here is how we help each one through our diverse formats.


Individuals / One-O-One Training 

Focused learning sessions

Programme scheduling according to your choice

Get personalized attention

Choose what technology interests you


Teams: Enroll for our Classroom or online Public Batches 

Get our specialized updated content for different skill levels

Get on-demand learning and solve problems quickly

Get help from the ground level through sequential learning



Get customized training programmes and solutions that can be curated especially for your business

Meet needs of all learners

Let your employees be geared up for all kinds of problem solving

Inspire your teams for future

Update your employees with latest information stretching from technology, business leadership to marketing


Q: Is there any EMI option?


A: Yes, you can easily choose an EMI option through your credit card or Debit card.


Q: Where is Radiant Techlearning Located?


A: Radiant Techlearning is headquartered in Electronic city & technology hub of Northern India, Noida, which is surrounded by several large multinational, medium & small Software companies.

We have our offices located all across the country and partners across the globe.


Q: If I face technical difficulty during the class what should I do?


A: Technical issues are unpredictable and might occur with you as well. Participants have to ensure that they have the system with required configuration with good internet speed to access online labs.

If the problem still persists or you face any challenge during the class then you can report to us or your trainer. In that case Radiant would provide you the recorded session of that particular day. However, those recorded sessions are not meant only for personal consumption and NOT for distribution or any commercial use.

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