#Podcast – NTN 40 – Introduction to Machine Learning (lucky for us, JavaScript free)

Hello!

Episode dedicated to Machine Learning. I am very lucky to have 2 experts on the subject, Pablo Alvarez Doval (@PabloDoval) and Rodrigo Cabello (@mrcabellom).

As always we had a prepared agenda, however, along the way we deviated from the agenda, and things became more real. We cover the definition of Machine Learning, we also talk about some languages ​​and tools that we have available for ML, and about the Frameworks that we can use today. AzureML, CNTK, Tensor Flow, Python, R and real experiences of ML projects. I like to learn / listen to real experiences.

Special mention to the reference of Pablo on the “you do not need to be a mathematician to work in ML”, and the explanation of Rodrigo on the reason for the popularity of Python in the ML community.

At the end of the episode we have the latest technology thanks to Sergio Mabres. I hope you enjoy, and apologize for the mistakes (if there were any).

 

Greetings @ Burlington

El Bruno

References

• Podcast, NTN 40 – Introducción a Machine Learning (todavía sin JavaScript)
• Guests
• • Pablo Alvarez Doval (@PabloDoval)
  • Rodrigo Cabello (@mrcabellom).
  • Sergio Mabres, Noticias de la Semana, Semana 43
• Resources
  • Videos
    • MSCoders – Microsoft Cognitive Toolkit con Pablo Alvarez 
    • Rodrigo Cabello – Machine Learning for developers – PyConES 2017
  • Tools / Frameworks / Others
    • Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
    • Reasons to Switch from TensorFlow to CNTK
    • Comparing Top Deep Learning Frameworks: Deeplearning4j, PyTorch, TensorFlow, Caffe, Keras, MxNet, Gluon & CNTK
    • Andrew Ng
  • Courses
    • Coursera, Machine Learning
    • Edx, Applied Machine Learning
  • Images: Smart Dog, Bad Robot
  • Music Resources