Today Felipe gives us a brief but holistic introduction into Data Science. We discuss myths, Felipe’s journey into the data science world, and demystify some of the field's elements. When Felipe started his career, he did not know anything about data science but found himself in the area of machine learning at the Australia New Zealand Banking Group (ANZ). Eventually, Felipe found himself pioneering the first data-driven strategy at ANZ.

We learn that one of the biggest myths about data science is the fear that AI will eventually replace humans. Dispelling this myth is possible when we develop a wider understanding of what machine learning actually can and cannot do. First, we need to understand how machine learning works. We learn that machine learning updates the foundational data science process of input (data), algorithm (instructions), and output. Instead, it takes the job of developing the instructions, algorithm, or recipe off of the data scientist. Instead, an algorithm is created based on the data and feedback that is given to the machine. Felipe then dives into an explanation of the two basic types of algorithms, classification, and regression algorithms. Classification algorithms organize categories, and regressions deal with the likelihood of outcomes by shooting out a number from 0 to 1.

Felipe spends some time breaking down concepts like AI and decision trees and shares some history of the development of algorithms. Bias data and the importance of understanding how algorithms can be biased are discussed. The power of the decision-making capacity of humans working with machines and data is highlighted. Felipe sees the potential of marrying human judgment and experience with algorithms and data as a game-changer in many areas including the medical field. We close with a Q&A and resources for people hoping to get started in data science, including programs that equip you with the skills and knowledge to get started in the field and include a mentorship program.

Enjoy the show!

We speak about:

• [01:25] About Felipe
• [04:55] What Can Data Science Do & How Does It Work?
• [17:00] Algorithms
• [32:00] Key Terms and Decision Trees
• [46:00] Coupling Machine Learning and Humans
• [60:00] Q&A and Resources To Get Started

Quotes:

• “In today’s world, everyone should know how to read and write, in tomorrow’s world, everyone should know how algorithms work”
• “Machine learning can supplement thinking, show you things you haven’t considered, and give you a better perspective that allows you to make better decisions”.
• “Are humans going to be replaced? Will it always be a combination? That’s up to you.”

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