When it comes to Machine Learning, we still don’t know how these machines derive conclusions. Though they work on large data sets and algorithms, these machines can learn and conclude unsupervised by humans. Mark Shmulevich, COO at TAIGER, explains the ins and outs of Machine Learning (ML) and Artificial Intelligence (AI) and which functions will always require a human touch.
Gain Actionable Insights Into:
- The most surprising aspects of AI and ML
- Understanding model verification is and why this is important
- Business cases for AI and ML and how tech savvy you must be to use them effectively
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