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The fascinating conversation covered both the academic and business applications of Machine Learning, AI and Data Science with Riccardo helping to demystify what can be a complex topic to understand, especially for those that are just starting out in their journey.
Areas discussed during this fun and entertaining conversation included:
- The history of AI and Machine Learning
- The challenges around implementing Machine Learning compared to other enterprise solutions
- Building integrity into data sets
- The challenges that unintended changes can bring to algorithm results eg. Covid-19
- Real-world practical applications of Machine Learning from ice cream sales to autonomous cars!
- Understanding abstractions
- Issues around ethics and bias in the algorithm
- Trends in Machine Learning, including Vision & Language, Forecasting & Modeling, Application within Science and Modeling Real World Phenomena
- Recommendations on how to get started
For more information on the topics discussed in the podcast, visit Riccardo’s blog at https://volpato.io/
Other links of interest that Ricardo and Jose named in the podcast:
Making neural nets uncool again
Education – Google AI
Riccardo Volpato | The future of AI and Decision Making: Specification, Preferences and Interpretability
TensorFlow: An end-to-end open source machine learning platform for everyone. Discover TensorFlow's flexible ecosystem of tools, libraries and community resources.
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