Many mathematical algorithms that we use in data science and machine learning require numeric data. And many algorithms tend to be very complex to implement (such as Support Vector Machines or Local Linear Embedding, which we previously discussed). But, association rule mining is perfect for categorical (non-numeric) data and it involves nothing more than simple counting! What we have here is a simple algorithm with not so simplistic results! The ratio of actionable insights discovery potential (high) to algorithm complexity (low) is quite large and atypical, IMHO.

Walmart has tapped Argo AI and Ford to launch an autonomous vehicle delivery service in Austin, Miami and Washington, D.C., the companies said Wednesday. The service will allow customers to place online orders for groceries and other items using Walmart's ordering platform. Argo's cloud-based infrastructure will be integrated with Walmart's online platform, routing the orders and scheduling package deliveries to customers' homes. Initially, the commercial service will be limited to specific geographic areas in each city and will expand over time. The companies will begin testing later this year.

We often have blind spots for the reasons that cause problems in our lives. We try to fix our issues based on assumptions, false analysis, and mistaken deductions. These create misunderstanding, anxiety, and frustration in our personal and work relationships. Resist jumping to conclusions prematurely. Evaluate information correctly and consistently to make better decisions.

Amazon SageMaker Studio provides a single, web-based visual interface where you can perform all ML development steps, improving data science team productivity by up to 10 times. Studio gives you complete access, control, and visibility into each step required to build, train, and deploy models. You can quickly upload data, create new notebooks, train and tune models, move back and forth between steps to adjust experiments, compare results, and deploy models to production all in one place, making you much more productive. You can perform all machine learning (ML) development activities including notebooks, experiment management, automatic model creation, debugging, and model and data drift detection within Studio. In this post, we discuss how to launch Studio from external applications using presigned URLs.

Walmart Inc. is working with Ford Motor Co. and Argo AI to start testing an autonomous-vehicle delivery service in three U.S. cities as the big-box retailer's consumers continue to favor deliveries within the same or next day. The companies on Wednesday said the service will start in Miami, Austin, Texas, and Washington, D.C. The last-mile delivery service, or the leg of an item's journey to the ultimate destination, will take Walmart orders to customers using Ford self-driving test vehicles equipped with Argo AI's self-driving system.

Ford, Walmart and Argo AI plan to launch autonomous vehicle delivery services in Miami, Austin, Texas and Washington DC later this year, Ford has announced. The service will focus on last mile deliveries and use Ford vehicles equipped with Argo's AI self-driving system to deliver Walmart orders. Don't count on driverless ghost cars pulling up to your house with groceries, however, as Argo emphasized that the new venture is all about "testing" and "potential." "Our focus on the testing and development of self-driving technology that operates in urban areas where customer demand is high really comes to life with this collaboration," said Argo AI founder and CEO Bryan Salesky. Deliveries will be available in those cities "within defined service areas" and expand over time, Ford said.

Successful conversational search systems can present natural, adaptive and interactive shopping experience for online shopping customers. However, building such systems from scratch faces real word challenges from both imperfect product schema/knowledge and lack of training dialog data.In this work we first propose ConvSearch, an end-to-end conversational search system that deeply combines the dialog system with search. It leverages the text profile to retrieve products, which is more robust against imperfect product schema/knowledge compared with using product attributes alone. We then address the lack of data challenges by proposing an utterance transfer approach that generates dialogue utterances by using existing dialog from other domains, and leveraging the search behavior data from e-commerce retailer. With utterance transfer, we introduce a new conversational search dataset for online shopping. Experiments show that our utterance transfer method can significantly improve the availability of training dialogue data without crowd-sourcing, and the conversational search system significantly outperformed the best tested baseline.

The Tech5 talent search is back again. We scoured, measured, and assessed scaleups from all corners of the continent to bring you the top 100 for 2021. Based on performance, growth, and potential, these companies have proven they have what it takes to join the exclusive Tech5 community. And just what does that mean? The Tech5 community is a network of top European founders designed to help them connect, get access to bespoke events, and gain media exposure.

What the marketing world witnessed in April 2020, was an unprecedented rise of eCommerce retail sales in North America by triple digits. And, Statista reports that in the same 2020, more than two billion people bought their products from eCommerce stores, with global e-retail sales of over $4.2 trillion. While this is big news for eCommerce stores, an unfortunate incident is that the amount of returns purchasers make may go over a trillion dollars a year if care is not taken. The main reason for this is that most eCommerce shops have not been able to create size charts, so we have sizing problems plaguing e-commerce stores in a lot of ways. The basis of sizing issues eCommerce stores face is that they are outlets and usually get their products from different manufacturers across the globe.

In October 2020, the Belarusian company VIPIT launched on Product Hunt with the Good Style app. Now users can virtually try on clothes before ordering in the online store. VIPIT launched the app in the US market in partnership with Shein. Now the startup has entered the CIS market. Moreover, VIPIT works in collaboration with Belarusian brands in the Belarusian market.