Expert systems | Formal methods | Theoretical computer science
The Knowledge Based Software Assistant (KBSA) was a research program funded by the United States Air Force. The goal of the program was to apply concepts from artificial intelligence to the problem of designing and implementing computer software. Software would be described by models in very high level languages (essentially equivalent to first order logic) and then transformation rules would transform the specification into efficient code. The air force hoped to be able to generate the software to control weapons systems and other command and control systems using this method. As software was becoming ever more critical to USAF weapons systems it was realized that improving the quality and productivity of the software development process could have significant benefits for the military, as well as for information technology in other major US industries. (Wikipedia).
Knowledge Management For Software Developers
Software developers are expected to ingest and retain massive amounts of information every day, and doing so effectively isn't realistic without some kind of knowledge management tool. In this video we explore the use cases software developers have for knowledge management tools and featur
From playlist Knowledge Management
How I use Obsidian for work as a software developer advocate
I'm a software developer advocate focusing on performance testing, and in this video, I show you how I use Obsidian for work. Obsidian is a Personal Knowledge Management tool for building a system that will help you keep up with the quickly changing field of technology. Software engineers
From playlist Knowledge Management
Mathematica Experts Live: Input Assistant
Ian Hojnicki walks through the features of Mathematica's Input Assistant, including auto-completion, code templates, and dynamic highlighting, in this video from Mathematica Experts Live: New in Mathematica 9. For more information about Mathematica, please visit: http://www.wolfram.com/ma
From playlist Mathematica Experts Live: New in Mathematica 9
Mathematica How To: How to Use the Input Assistant
Learn how to use Mathematica's Input Assistant, which helps you automatically complete code, discover functions and options, and reduce oversights and typographical errors while coding. To learn more about the Input Assistant, please visit: http://www.wolfram.com/mathematica/new-in-9/con
From playlist Getting Started with Mathematica 9
Job Searching Tutorial - Software engineering interviews: empathy
Learn how to leverage empathy in software engineering job interviews. Explore more Job Searching courses and advance your skills on LinkedIn Learning: https://www.linkedin.com/learning/topics/job-searching?trk=sme-youtube_M140599-08-05_learning&src=yt-other This is an excerpt from "Tech C
From playlist IT Careers and Certifications
How to Create Virtual Assistant Using Python | Creating Virtual Assistant Using Python | Simplilearn
This tutorial Creating Virtual Assistant using Python will help you create your virtual assistant. In the video, we will add functionalities such as current date and time, playing any video on Youtube, and searching for information through Wikipedia. How to Create Virtual Assistant Using
The KEY to Improving as a Programmer
I bestow on you the KEY to improving as a programmer. We go over examples on how to implement this key as a beginner programmer, a programmer with their own project, and those who just want to solve fun problems. Enjoy the video! Udemy --- http://bit.ly/udemy-forrest Skillshare --- http:/
From playlist Software Engineering
see more slides, notes, and other material here: https://github.com/Aggregate-Intellect/practical-llms/ https://www.linkedin.com/in/amirfzpr/ ** KnowledgeOps and Development Processes 1/14: #KnowledgeOps is about managing an organization's or community’s knowledge assets and processes to
From playlist Practical Large Language Models
Process of Auditing Information Systems - Part 2 | CISA Training Videos
Knowledge of the evidence collection techniques (e.g., observation, inquiry, inspection, interview, data analysis, forensic investigation techniques, computer - assisted audit techniques[CAATs]) used to gather, protect and preserve audit evidence. This Means your Audit findings must be su
From playlist CISA Training Videos
Rasa Office Hours: Paul Vallis, Senior Software Engineer
Our weekly Rasa Office Hours! This week we'll be joined by Paul Vallis, Senior Software Engineer. Bring your questions! Want to build your own chatbot? https://rasa.com/docs/ Learn more about Rasa: https://rasa.com Rasa documentation: http://rasa.com/docs Join the Rasa Community: https:
From playlist Rasa Office Hours
Rasa Chats: Applying Conversational AI in the Enterprise | Podcast
Launching conversational AI in the enterprise depends on many things that are essential for successful adoption. In this episode, join Senior Product Evangelist Mady Mantha, and Developer Marketing Manager, Karen White, talk about why enterprises need conversational AI teams, real user da
From playlist Rasa Chats Podcast
CISA Domain 4 | Information Systems Operations | Simplilearn
This CISA domain, provides information on assurance that the processes for information systems operations, maintenance and support meet the organization’s strategies and objectives. 🔥Free CISA Course: https://www.simplilearn.com/learn-information-systems-fundamentals-skillup?utm_campaign=C
From playlist Cyber Security Playlist [2023 Updated]🔥
Stanford CS230: Deep Learning | Autumn 2018 | Lecture 10 - Chatbots / Closing Remarks
Andrew Ng, Adjunct Professor & Kian Katanforoosh, Lecturer - Stanford University http://onlinehub.stanford.edu/ Andrew Ng Adjunct Professor, Computer Science Kian Katanforoosh Lecturer, Computer Science To follow along with the course schedule and syllabus, visit: http://cs230.stanfo
From playlist Stanford CS230: Deep Learning | Autumn 2018
Building Scalable State-of-the-Art Conversational AI Tutorial- Mady Mantha
Building Scalable State-of-the-Art Conversational AI Tutorial - Mady Mantha Mady will talk about natural language understanding (NLU) and conversational AI. She'll outline a maturity model for contextual assistants describe how to grow from a simple chatbot that can answer FAQs to a cont
From playlist Rasa Talks
🔥Become a Creator of Products that Delight Users with IIIT Bangalore | UI UX Design | Simplilearn
🔥Explore more about the Course here: https://www.simplilearn.com/ui-ux-certification-training-course?utm_campaign=UIUXDesignWebinar8feb23&utm_medium=Description&utm_source=youtube Career Information Session: Become a Creator of Products that Delight Users with IIIT Bangalore, a live and i
From playlist Simplilearn Live
The Computer Chronicles - Fifth Generation Computers (1984)
Special thanks to archive.org for hosting these episodes. Downloads of all these episodes and more can be found at: http://archive.org/details/computerchronicles
From playlist The Computer Chronicles 1984 Episodes
🔥Build Your Career with Caltech CTME’s Post Graduate Cloud Computing Program | Simplilearn
🔥Explore more about the Course here: https://www.simplilearn.com/pgp-cloud-computing-certification-training-course?utm_campaign=pgpcloudcomputingWebinar5Jan23&utm_medium=Description&utm_source=youtube Career Information Session: Build Your Career with Caltech CTME’s Post Graduate Cloud Co
From playlist Simplilearn Live
Project Time Management | PMP® Training Videos PMBOK 5th Edition | PMP Tutorial | Simplilearn
🔥 Post Graduate Program In Project Management: https://www.simplilearn.com/pgp-project-management-certification-training-course?utm_campaign=ProjectTimeManagement-pcfDYDZYoDA&utm_medium=DescriptionFF&utm_source=youtube 🔥 PMP® Certification Training Course: https://www.simplilearn.com/proje
From playlist PMP Tutorial For Beginners | PMP Tutorial [2022 Updated]
Machine Learning with scikit learn Part Two | SciPy 2017 Tutorial | Andreas Mueller & Alexandre Gram
Tutorial materials found here: https://scipy2017.scipy.org/ehome/220975/493423/ Machine learning is the task of extracting knowledge from data, often with the goal of generalizing to new and unseen data. Applications of machine learning now touch nearly every aspect of everyday life, fro
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