Best Practices for Machine Learning with GCP

In this blog, I am going to explain some of the best practices for building a machine learning system in Google Cloud Platform.  We'll start by showing how to understand and formulate the problem and end with tips for training and deploying the model. We'll also discuss required GCP tools, data processing in GCP, and data validation.

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How Machine Learning Applications Save Retailers Time and Money - Part 2

From controlling smart cars on earth to forecasting solar flares in space, machine learning technologies are being more and more widely implemented. Today, we’ll continue last week’s discussion on machine learning applications in retail settings, including their uses in securing payment transactions, improving customer experiences, predicting customer demand, and automating customer service.

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How Machine Learning Applications Save Retailers Time and Money - Part 1

As retail companies continue to compete to increase market shares, business owners are seeking to implement technologies that they believe will  boost their revenues. Because of the many technological systems in use, it’s impossible to analyze all accessible data generated by different resources, such as mobile phones, websites, social media, forums, emails, etc.

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