Analytics Vidhya

DECEMBER 8, 2019

Overview Feature engineering is a skill every data scientist should know how to perform, especially in the case of time series We’ll discuss 6. The post 6 Powerful Feature Engineering Techniques For Time Series Data (using Python) appeared first on Analytics Vidhya.

Analytics 280

Analytics Structured Data 280

MLWhiz

DECEMBER 8, 2019

Algorithms are an integral part of data science. While most of us data scientists don’t take a proper algorithms course while studying, they are important all the same. Many companies ask data structures and algorithms as part of their interview process for hiring data scientists. Now the question that many people ask here is what is the use of asking a data scientist such questions.

Testing 90

Testing Data Science IT 90

Bruno Aziza

DECEMBER 8, 2019

Ten years ago, I invited the community to envision the future of Data, AI and Analytics. From Paris, I asked: what could the world of AI, Data and Analytics look like by 2020?! This past month, I drove down to Silicon Valley’s Computer History Museum and asked again.

Analytics 82

Analytics 82

Paul Turley

DECEMBER 8, 2019

As I continue to explore and develop best practices for managing serious business-scale Power BI solutions, I'm having conversations with recognized community leaders. Last month I chatted with Ásgeir Gunnarsson on the SQL Train ride from Portland to PASS Summit in Seattle. Ásgeir is a data platform MVP and seasoned Business Intelligence expert from Reykjavik, Iceland who works as Chief Consultant for Datheos, a Microsoft-focused BI and Analytics consultancy in Copenhagen.

Enterprise 40

Enterprise Consulting Business Intelligence Management 40

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.

Experimentation