Bias in Machine Learning - Google Developer Support

In our digitalera, efficiency is expected. We can instantly find the fastest route to a destination, make purchases with our voice, and get recommendations based on our previous purchases.These examples of machine learning have impacted our livespositively,saving customers time and companies money.

Machine learning is the scientific study of algorithms and statistical models that result in devices automatically learning and improving from experienceswithout being explicitly programmed. With so much success integrating machine learning into our everyday lives, theobviousnext step is tointegratemachine learning into even more systems.Unfortunately,the collected data used to train machine learning models is often riddled with bias.

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