Skip to content

Navigate your cloud native world with training that matures your DevOps practices

Learn how to put the latest open source technology into practice with hands-on training, delivered by industry experts, aligned to your desired business outcomes

rx-m-cloud.png
CNCF-Logo.svg
KTP-logo.svg
KCSP-logo.svg
lf-atp-logo.svg
apache-bronze-sponsor-logo.svg

Practical Machine Learning with Python

3 Days

Available On-Site

Available Virtually

Open Enrollments Available

Customizable


Machine learning is a type of artificial intelligence wherein computer programs learn new capabilities when exposed to data. This 3-day instructor-led training course teaches the basics of machine learning with practical hands-on labs using Python and various support libraries.

Day one introduces the foundational concepts of data science and machine learning. Hands-on labs progressively build a basic collection of tools and experiments reinforcing the concepts covered in the lecture. Attendees will learn how to create a basic Python development environment for machine learning while producing several basic but useful and instructive programs. Basic probability, statistics, and basic data curation skills are developed throughout.

Days two and three build on the foundational skills imparted in day one, introducing a formal classification of the most common machine learning algorithms and their purposes. Modules and labs give attendees experience using the most common algorithms and a chance to create real solutions, such as fraud detection and recommendation engines.

Upon completion attendees will have a broad but practical understanding of machine learning and a base from which to pursue real applications and further study.

Delivery

Available for Instructor-Led (ILT) in-person/onsite training or Virtual Instructor-Led training (VILT) delivery; Open Enrollment options may be available.

Who Should Attend?

Application Developers, Analysts and Data Scientists

What Attendees will learn

This course is designed to provide attendees with a practical introduction to machine learning using Python. Learning modules include:

  • Data science and machine learning
  • Working with and curating data
  • The machine learning process and algorithms
  • Decision trees and ensemble methods
  • Probability based learning
  • Deep Learning

Prerequisites

Each attendee should be familiar with Python and will require the ability to run a 64 bit virtual machine (provided with the course). Basic Linux command line skills are valuable but not required.


Contact us to request more information about enrolling in the Practical Machine Learning with Python course or to inquire about booking a custom in-house course for your team.

Other Open Enrollments from RX-M

May 2020
June 2020
No event found!
Load More

Frequently Asked Questions about Open Enrollment Courses

RX-M's Cloud Native & DevOps enablement philosophy

Bring a neutral perspective

We bring a market neutral perspective to every engagement, taking no stake in any of the competing cloud native platforms, components or solutions so we can offer unbiased insights to our clients

Practice what we teach

We are a multi-cloud company consisting of prominent open source contributors with large-scale software engineering experience, actively contributing to the evolution of next-gen software architectures, application management, and platforms

Be solution focused

RX-M has the unique ability to deliver purpose-built, solution-based training in the form of custom curriculum that aligns with each of our client's specific desired outcomes so your team has the skills needed to accelerate the business

Our team has been trusted to work alongside Cloud Native and DevOps teams at some of the most exciting companies

grey-client-logos-16-mar-2020.svg