A brief look back at 2017 and a quick preview of what 2018 looks like for me.
When should deep learning be used? the answer isn't a simple one. The answer depends on the problem, data size and number of other factors.
Stop thinking about big data technologies. Think of ways to 'analyze, contextualize, internalize' your data instead.
Data and culture must go hand in hand in modern organizations.
As part of a tutorial on Text Analytics and Visualization I just finished over on technical blog called Python Data (where I blog about using python for
Using basic Text Analytics and Visualization techniques, keywords can be automatically extracted from text and relationships can be visualized.
When working with data, don't just find the answers to your questions. Keep digging and find new questions to ask.
Rather than blindly follow your a 'successful' company, find ways to incorporate their successes into your organization. Be pragmatic, not dogmatic.
Text Analytics with Python by Dipanjan Sarkar provides an overview of how to use Python to perform text analytics / natural language processing.
Using Python and AWS Lambda, I've been able to offload a number of python scripts (set up as API endpoints on AWS) to allow more flexibility and save money.
Many organizations are jumping on the big data bandwagon (rightfully so). A good portion of them aren't thinking about data quality before data analytics.
In this article I look at stock market forecasting with prophet and compare a few errors measures to see how well prophet can forecast the market.
Driving Digital is one of the best books I've read on digital transformation. Rather than talk in theory, Isaac provides a game-plan for driving digital.
Prophet does a very good job of detecting trend changepoints. In this post, I provide an example where I look at the capabilities of Prophet.
This third installment of Forecasting time series data with prophet provides an example using holidays to try to improve the model.
Join the newsletter.
One idea per issue. No spam. Written by someone who's been doing this for three decades.