Siraj Raval built an app called VectorFunnel that automatically scores leads for marketing & sales teams! I used React for the frontend, Node.js for the backend, PostgreSQL for the database, and Tensorflow.js for scoring each lead in an excel spreadsheet.
Integration with smart contracts is a common topic with developers. Whether with apps, data, messaging or services there is a desire to connect the functions and events of smart contracts in an end to end scenario. In this episode, we look at the different types of scenarios and look at the most common use case – how to quickly expose your smart contract functions as microservices with the Ethereum Blockchain Connector for Logic Apps or Flow.
Additional documentation is available at: http://aka.ms/ethlogicapp
In this episode of What the Future, check out what Boston Dynamics’ robot dogs have been up to and see how robots can help colonize Mars.
Code Bullet explores evolutionary AI is this heavily bleeped video discussing evolutionary AI.
Azure App Configuration is a service that enables you to centralize your application configuration. Built on the simple concept of key-value pairs, this service provides manageability, availability, and ease-of-use. You can use Azure App Configuration to store and retrieve settings for applications, microservices, platforms, and CI/CD pipelines.
Forbes sits down with legendary tech investor Peter Thiel and talks about the next big idea.
For today’s Philosophy Friday, which is also Good Friday, I thought I would share this inspirational speech by Steve Jobs on the big contrast between life and death and how this can empower you.
DevOps is the union of people, process, and products to enable continuous delivery of value to our end users. Azure DevOps is everything you need to turn an idea into a working piece of software.
While this video may be aimed at ASP.NET developers, don’t let that put you off. DevOps is coming to the Data Science and AI world. It may be called “DataOps,” but nevertheless, this is coming to our world. It’s best to learn it early.
Here are some interesting thoughts from a frequent (and I do mean frequent) contributor to Towards Data Science. An article on Data Science once a week? I need to up my game from monthly to daily!
In any case, here are the five takeaways from a year of weekly data science writing are:
- You can learn everything you need to know to be successful in data science without formal instruction
- Data science is driven by curiosity
- Consistency is the most critical factor for improvement in any pursuit
- Data science is empirical: instead of relying on proven best methods, you have to experiment to figure out what works
- Writing about data science — or anything —is a mutually beneficial relationship as it benefits you and the entire community