WEBINAR: How to build customer-oriented applications using third-party data - 28 October 2021

 

NEWSLETTER . How to build customer-oriented applications using third-party data REGISTER NOW . You’re Invited! THURSDAY, OCTOBER 28 11AM PT | 2PM ET 60 MIN SESSION REGISTER NOW Join this webinar to learn how using third-party data enhances applications to better prioritize your target customer – helping you build a more customer-centric business. In this virtual session, AWS Data Exchange will host a discussion with thought leaders from companies such as Foursquare and Nextdoor. They will share real-world examples on leveraging datasets to create a customer-centric strategy and improve business outcomes. Key takeaways include: How Nextdoor uses point-of-interest (POI) data to help improve global business data coverage and quality, discovery, verification, and onboarding experiences How Nextdoor uses POI data to improve lead generation of local businesses and grow page claim rates How to provide personalized recommendations using Amazon How to discover, find, and use third-party data with AWS Data Exchange Moderator Mohsen Malik AWS Data Team Lead, Customer Advisory Mohsen leads a team of Customer Advisors for AWS Data Exchange to help customers discover, procure, and use traditional and alternative data assets in the AWS Cloud. In this capacity, his team engages with data subscribers globally across key data domains such as location and geographic information system (GIS), consumer insights, and audience data. Mohsen’s team also works with key data providers across their data domains to reduce their operational costs and expand their customer base by leveraging cloud-native distribution. Presenters Josh Cohen Senior Vice President Product, Foursquare Previously, Josh was at Google where he was the group product manager for Publisher Advertising Platforms and Business Product Manager for Google News, responsible for global product strategy, marketing, and publisher outreach. He was also vice president of business development for the consumer media team at Reuters Media and director of business development for SmartMoney.com, a joint venture between Dow Jones and Hearst. Josh holds degrees from the University of Michigan and Columbia Business School, where he graduated Beta Gamma Sigma. Rahul Sureka Engineering Leader, Nextdoor Rahul is an Engineering Leader at Nextdoor, in charge of driving search, discovery, and marketplaces. He is a results-oriented leader with over 10 years of experience in building top-performing products. Rahul joined Nextdoor in October 2015 and led several initiatives globally to develop Nextdoor‘s first monetization platform. Rahul received a Master’s in Computer Science at University of Southern California from 2006 to 2007. Angel Goñi Oramas Enterprise Solutions Architect, AWS Angel Goñi is an Enterprise Solutions Architect at AWS. He helps enterprise customers drive their digital transformation process by leveraging AWS services. His current focus is supporting consumer packaged goods (CPG) customers with emphasis on SAP migrations to AWS. *The views and opinions of Foursquare, Nextdoor, and their presenters are their own and do not necessarily reflect the positions of AWS. About AWS Data Exchange: AWS Data Exchange makes it easy to find, subscribe to, and use third-party data in the cloud. Once subscribed to a data product, you can use the AWS Data Exchange API to load data directly into Amazon S3 and then analyze it with a wide variety of AWS analytics and machine- learning services. Click here to browse thousands of data products now available from more than 80 qualified data providers in AWS Marketplace. Visit aws.amazon.com/data-exchange to learn more. REGISTER NOW © 2021 AWS Marketplace.

Intro to Object-Oriented Programming For Data Scientists by @BexTuychiev via @towardsdev

Implement a simple Linear Regression with OOP basics on your own.

I love this and the clear examples of code. Object-oriented programming might appear to be extra work but if you have a long or complicated piece of code it is very useful to standardise exactly what you are doing and how.