Go gaga over Machine Learning

People Who Have "Too Many Interests" Are More Likely To Be Successful According To Research In order to become an effective online writer, I've deliberately combined academic research, digital journalism, and growth hacking into one skillset. I didn't go to college for any of these skills, but practiced them over time and received coaching on them.

Awesome simple principles to follow: 5 Tips To Deal With Untested Code - Hacker Noon As software testers, we deal every day with a lot of untested (or insufficiently tested) code. You might say "that's a tester's role, to find bugs in the code, is not the developer's role" and I wouldn't say you're not right. But, you are partially right, though.

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Data science team at Dell EMC uses a methodology called DEPP that guides the collaboration with the business stakeholders through the following stages: Descriptive Analytics to clearly understand what happened and how the business is measuring success. Exploratory Analytics to understand the financial, business and operational drivers behind what happened. Predictive Analytics to transition the business stakeholder mindset to focus on predicting what is likely to happen. Prescriptive Analytics to identify actions or recommendations based upon the measures of business success and the Predictive Analytics. The DEPP Methodology is an agile and iterative process that continues to evolve in scope and complexity as the clients mature in their advanced analytics capabilities Read more at: Lessons in Becoming an Effective Data Scientist I was recently a guest lecturer at the University of California Berkeley Extension in San Francisco. On a lovely Saturday afternoon, the