KDnuggets

JUNE 6, 2022

You can't avoid learning Python if you work on machine learning problems. You need to know what other people's code means and you need to convey your ideas to them too.

Programming Language 155

Programming Language Machine Learning Python Programming 155

Netflix Tech

JUNE 6, 2022

By Astha Singhal , Lakshmi Sudheer , Julia Knecht The Application Security teams at Netflix are responsible for securing the software footprint that we create to run the Netflix product, the Netflix studio, and the business. Our customers are product and engineering teams at Netflix that build these software services and platforms. The Netflix cultural values of ‘Context not Control’ and ‘Freedom and Responsibility’ strongly influence how we do Security at Netflix.

Software Engineer 67

Software Engineer Software Engineering Professional Services Education 67

KDnuggets

JUNE 6, 2022

Learn to train and track your experiments, create ML pipelines, model deployment, monitor the performance in production, and adopt best practices from DevOps.

159

159

Monte Carlo

JUNE 6, 2022

For many data teams, the past 5 years has witnessed an evolution of technology, teams, and processes that calls to mind another significant period in time: the Industrial Revolution. From the late 18th century to mid-19th century, the Industrial Revolution transformed economies with new tools, cheaper power sources, and more streamlined ways of organizing work in factories.

Machine Learning 52

Machine Learning Government Algorithm Data 52

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Data Science

KDnuggets

JUNE 6, 2022

Recruiters look at a resume for 7.4 seconds before making a decision on the candidate. So that means you have basically less than 10 seconds to make a good impression. 10 seconds is not a lot of time; especially when you really want this job.

Data Science 110

Data Science Recruitment Data 110

KDnuggets

JUNE 6, 2022

This article presents simple definitions for 12 genetic algorithm key terms, in order to help better introduce the concepts to newcomers.

Algorithm 110

Algorithm Machine Learning 110