Designing a Framework for Conversational Interfaces using PL design, API Design, and Constraint Programming Computer Science |
- Designing a Framework for Conversational Interfaces using PL design, API Design, and Constraint Programming
- Running Collaborative Machine Learning Experiments with DVC and Git - Tutorial
- Benefits and drawbacks of imperative first vs functional first approach in learning to progam
- [PDF] Clonefiles: like hard-links, but with copy-on-write semantics
- The Art and Science of Data Modeling - Visual Is The Future - Analysis
- SPA vs MPA with SEO
- this true?
| Posted: 15 Dec 2021 09:21 PM PST |
| Running Collaborative Machine Learning Experiments with DVC and Git - Tutorial Posted: 15 Dec 2021 11:13 PM PST Sharing machine learning experiments to compare your ML models is important when you're working as a team. You might need to get another opinion on an experiments results or to share a modified dataset or even share the exact reproduction of a specific experiment. The following tutorial explains how a team of ML engineers can bundle your data and code changes for each ML experiment and push those to a remote for somebody else using a Google Drive folder to check out using DVC (Data Version Control) tool: Running Collaborative Experiments The tutorial shows how setting up DVC remotes in addition to your Git remotes lets you share all of the data, code, and hyperparameters associated with each experiment so anyone can pick up where you left off in the training process. [link] [comments] |
| Benefits and drawbacks of imperative first vs functional first approach in learning to progam Posted: 14 Dec 2021 08:40 PM PST This post can generate quite a bit of heat. But that is not my purpose. I want POV from all frontiers. People generally learn to program in two ways:
Their can be another way of looking at it:
Generally functional people come from the LISP family and imperative people from the C family. Nowadays many unis are starting to integrate functional programming into their core undergrad curriculum. Previously it was imperative heavy during the OOP boom. Even before that it was LISPy. Think of SICP . All of you people have moved on after undergrad. You may have dived deeper into courses like PL theory, compilers, systems, distributed systems, TCS. Many fields need you to program actively while others don't. But may require the knowledge you acquired from programming a computer. How do you view your education? Was learning it imperative first more fruitful than functional first? By fruitful I mean learning the ability to see a problem, break it into parts, bring up a solution (existing or not) and implement it from a blank slate. By blank slate, I don't mean always scratch. Even finding out the correct API to use is a skill. If you have any specific suggestion or resource that may benefit newcomers kindly share that too. And also what do you do know in your profession? [link] [comments] |
| [PDF] Clonefiles: like hard-links, but with copy-on-write semantics Posted: 15 Dec 2021 05:51 AM PST |
| The Art and Science of Data Modeling - Visual Is The Future - Analysis Posted: 14 Dec 2021 12:13 PM PST The following analysis explains how current approaches to data modeling allow us to maintain the balance between data democratization and the complexity of data modeling: The Art and Science of Data Modeling Visual data modeling is the future - putting the power of data modeling in everyone's hands - GUI-based data model layer lets business users define all the model details simply. [link] [comments] |
| Posted: 15 Dec 2021 11:45 AM PST I have got into the debate recently about SPA vs MPA and overall I embrace SPA as I like what it brings to the table overall. The issue is the short coming with SEO. I was wondering if anyone here has made a SPA based web application and had success with there method of implementing SEO. If you wouldn't mind explaining what approaches you took to SEO it that proved successful. Any and all input is welcome! [link] [comments] |
| Posted: 15 Dec 2021 01:59 PM PST if you mastered linear algebra, anything would be easy ? [link] [comments] |
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