DataHour: Introduction to Interpretable Machine Learning

DataHour: Introduction to Interpretable Machine Learning

05 Jul 202214:07pm - 05 Jul 202215:07pm

DataHour: Introduction to Interpretable Machine Learning

About the Event

Interpretable machine learning is needed because machine learning by itself is incomplete as a solution. The complex problems we solve with machine learning aren't solvable through conventional software engineering. By explaining a model's decisions, we can cover gaps in our understanding of the problem, and its corresponding solution.

Black-box machine learning models are thought to be impenetrable. However, with inputs and outputs alone, a lot can be learned about the reasoning behind their predictions. In this DataHour, we will cover the importance of model interpretation and explain various methods and their classifications, including feature importance, feature summary, and local explanations using Python.

Prerequisites: Basic python and some fundamental idea of Machine Learning.

  1. Best articles get published on Analytics Vidhya’s Blog Space
  2. Best articles get published on Analytics Vidhya’s Blog Space
  3. Best articles get published on Analytics Vidhya’s Blog Space
  4. Best articles get published on Analytics Vidhya’s Blog Space
  5. Best articles get published on Analytics Vidhya’s Blog Space

Who is this DataHour for?

  1. Best articles get published on Analytics Vidhya’s Blog Space
  2. Best articles get published on Analytics Vidhya’s Blog Space
  3. Best articles get published on Analytics Vidhya’s Blog Space

About the Speaker

Serg Masís

Serg Masís

Lead Data Scientist at Syngenta

Serg is a data scientist in agriculture with a lengthy background in entrepreneurship and web/app development, and the author of the bestselling book 'Interpretable Machine Learning with Python'. Passionate about machine learning interpretability, responsible AI, behavioral economics, and causal inference.You can follow him on Linkedin and Twitter.

Participate in discussion

Registration Details

8938

Registered

Become a Speaker

Share your vision, inspire change, and leave a mark on the industry. We're calling for innovators and thought leaders to speak at our event

  • Professional Exposure
  • Networking Opportunities
  • Thought Leadership
  • Knowledge Exchange
  • Leading-Edge Insights
  • Community Contribution