* Cantinho Satkeys

Refresh History
  • worrierblack: 4tj97u<z
    Hoje às 03:09
  • worrierblack: hello
    Hoje às 03:09
  • worrierblack: hello
    Hoje às 03:09
  • FELISCUNHA: Votos de um santo domingo para todo o auditório  4tj97u<z
    08 de Fevereiro de 2026, 11:39
  • j.s.: tenham um bom fim de semana,   49E09B4F 49E09B4F
    07 de Fevereiro de 2026, 14:31
  • j.s.: dgtgtr a todos  49E09B4F
    07 de Fevereiro de 2026, 14:30
  • FELISCUNHA: ghyt74  pessoall 49E09B4F
    06 de Fevereiro de 2026, 12:00
  • JPratas: try65hytr A Todos  4tj97u<z  2dgh8i k7y8j0 classic
    06 de Fevereiro de 2026, 05:17
  • joca34: ola amigos alguem tem este cd Ti Maria da Peida -  Mãe negra
    05 de Fevereiro de 2026, 16:09
  • FELISCUNHA: ghyt74  pessoal   49E09B4F
    03 de Fevereiro de 2026, 11:46
  • Robi80g: CIAO A TUTTI
    03 de Fevereiro de 2026, 10:53
  • Robi80g: THE SWAP FILM WALT DISNEY
    03 de Fevereiro de 2026, 10:50
  • Robi80g: SWAP
    03 de Fevereiro de 2026, 10:50
  • j.s.: dgtgtr a todos  49E09B4F
    02 de Fevereiro de 2026, 16:50
  • FELISCUNHA: ghyt74  pessoal   4tj97u<z
    02 de Fevereiro de 2026, 11:41
  • j.s.: try65hytr a todos  49E09B4F
    29 de Janeiro de 2026, 21:01
  • FELISCUNHA: ghyt74  pessoal  4tj97u<z
    26 de Janeiro de 2026, 11:00
  • espioca: avast vpn
    26 de Janeiro de 2026, 06:27
  • j.s.: dgtgtr  todos  49E09B4F
    25 de Janeiro de 2026, 15:36
  • Radio TugaNet: Bom Dia Gente Boa
    25 de Janeiro de 2026, 10:18

Autor Tópico: Docker Masterclass for Machine Learning and Data Science  (Lida 264 vezes)

0 Membros e 1 Visitante estão a ver este tópico.

Offline mitsumi

  • Sub-Administrador
  • ****
  • Mensagens: 129146
  • Karma: +0/-0
Docker Masterclass for Machine Learning and Data Science
« em: 12 de Março de 2021, 09:57 »

Docker Masterclass for Machine Learning and Data Science
Duration: 4h20m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 1.19 GB
Genre: eLearning | Language: English
Learn how to use Docker!

What you'll learn
Use Docker in order to build containers to deploy applications.
Learn the intuition behind Docker and understand how it works.
Learn the ins and outs of working with Docker
Understand how to create and deploy Docker containers from scratch.
You will also learn about Docker Images, Docker Hub, security with Docker, and much more so that you can implement Docker as needed throughout your career.

Requirements
The requirements for this course is simple. We will be using Docker desktop (available on Windows, Mac, Linux) and other Docker services that we will walk through the sign up process, or related information for. We will also be using Python, and any related libraries. You can use any IDE that you would like, but we will use Spyder as an example in the course when needing to write our code, and the terminal or shell/prompt.
Description
Every data scientist is aware that, sometime or another, they'll need to show off their progress and results. And there couldn't be a bigger fear than not having your algorithm run on another computer for reasons you can't define.

Enter Docker Masterclass for Machine Learning and Data Science.  Led by Docker evangelist and Cybersecurity expert Jordan Sauchuk, this course is designed to get you up and running with Docker, so you will always be prepared to ship your content no matter the situation.

Your Docker path will cover the following steps:

A Comprehensive Introduction to Docker

Getting the Docker basics down

Using Dockerhub

Docker Challenges

Embedded in each section you'll not only find great video lessons, but also enriching articles and quizzes designed to take you to Docker heaven!

So, are you ready to become an excellent data scientist? Enroll now!

See you in the classroom.

Who this course is for:
Anyone interested in advancing their careers and obtaining a skill that not only is highly relevant now, but will only continue to grow.


Download link:
Só visivel para registados e com resposta ao tópico.

Only visible to registered and with a reply to the topic.

Links are Interchangeable - No Password - Single Extraction