Datacast Episode 21: How To Be a Data Science Writer with Admond Lee

Datacast Episode 21: How To Be a Data Science Writer with Admond Lee

Admond is currently a Data Scientist at Micron focusing on Smart Manufacturing and AI. With his degree in Physics, Admond discovered and pursued his passion in data science and never looked back ever since. He is also an independent data scientist and consultant helping companies and digital marketing agencies achieve their marketing ROI using advanced social analytics and machine learning. Being a passionate writer who writes about data science, his data science work and experience have been featured by various publications, including KDnuggets, Medium, Tech in Asia, AI Time Journal and local business magazine.

Recommendation System Series Part 1: An Executive Guide to Building Recommendation System

Recommendation System Series Part 1: An Executive Guide to Building Recommendation System

In this post and those to follow, I will be walking through the creation and training of recommendation systems, as I am currently working on this topic for Master Thesis. Part 1 provides a high-level overview of recommendation systems, how they are built, and how they can be used to improve businesses across industries.

A Friendly Introduction to Data-Driven Marketing for Business Leaders

A Friendly Introduction to Data-Driven Marketing for Business Leaders

Taking an algorithmic approach to attribution is just the beginning of driving change by moving toward a more detailed, data-driven approach in marketing.

How to Run an Effective Data Science POC in 7 Steps

How to Run an Effective Data Science POC in 7 Steps

What does running a POC mean in practice specifically for data science? When it comes to the evaluation of data science solutions, POCs should prove not just that a solution solves one particular, specific problem, but that a system will provide widespread value to the company: that it’s capable of bringing a data-driven perspective to a range of the business’s strategic objectives.

A Friendly Introduction to Open Source Data Science for Business Leaders

A Friendly Introduction to Open Source Data Science for Business Leaders

Open source is a key enabler for enterprise data science, both in terms of the growing ecosystem of open-source tools and the expanding number of complementary enterprise data science platforms that incorporate and build on open source languages and tools. The challenge is identifying which of those tools is relevant and valuable to your business. Assessing the maturity of these projects, grappling with any licensing issues, and making sure your team has the correct skillset to use them are challenges that many companies are now facing.

Technological Trends in 2019 That I Learned from Ascent Conference

Technological Trends in 2019 That I Learned from Ascent Conference

Last week, I attended the Ascent Conference in the Sheraton Hotel New York at Times Square, which is a 2-day conference focused on bringing together senior leaders in the East Coast tech community to learn, collaborate, and build the relationships needed to spearhead meaningful change. I took some detailed notes of the talks/panels that I attended and decided to use this post to share my major takeaways.

Top 10 Practices to Operationalize Your Data Science Projects in the Real World

Top 10 Practices to Operationalize Your Data Science Projects in the Real World

I want to use this post to share the top 10 practices to deploy your machine learning models into production in the real world.

Datacast Episode 20: Managing Data Scientists with Sunanda Parthasarathy

Datacast Episode 20: Managing Data Scientists with Sunanda Parthasarathy

Sunanda Koduvayur Parthasarathy is an Associate Director of Data Science at Wayfair Inc., where she leads a team of data scientists and engineers to build machine learning solutions that lead to a better shopping experience for all Wayfair customers. Prior to this, she was leading data science innovation R&D projects at the ad-tech startup DataXu. Through her career in data science, she has enjoyed bringing quantitative definition and clarity to unwieldy strategic business questions that have led to multiple high-revenue products.

Best Practices for Using Functional Programming in Python

Best Practices for Using Functional Programming in Python

Python is a very versatile, high-level programming language. It has a generous standard library, support for multiple programming paradigms, and a lot of internal transparency. If you choose, you can peek into lower layers of Python and modify them – and even modify the runtime on the fly as the program executes.