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Showing posts with label Tutorial. Show all posts
Showing posts with label Tutorial. Show all posts

Tuesday, January 10, 2023

ChatGPT Tutorial

Experimenting  with an interaction with learning, Generative AI system.   Now very much in the news.   Search for GPT for much more about it in this blog.  This gives you a hands on look into the state of the art in a form of usable AI.   For more of an intro to what ChatGPI is and how it relates to AI, see here from ColdFusion:   https://www.youtube.com/watch?v=0uQqMxXoNVs   T

Was pointed to the tutorial below and watched it.  Good, relatively non technical.    There are a number of other tutorials out there,  have not compared others.    Good place for the serious to get started to understand approach and current limitations.  No coding needed.   GPT is free to use for learning and research purposes.  

ChatGPT Tutorial - A Crash Course on Chat GPT for Beginner

https://www.youtube.com/watch?v=JTxsNm9IdYU    34:05

This ChatGPT Tutorial is a Crash Course on Chat GPT for Beginners. With the increase in popularity, ChatGPT is still unknown to many people.

YouTube ·  By Adrian Twarog · 1 month ago

Friday, September 04, 2020

Google Machine Learning Tutorial

Had the honor to meet Kirk D Bourne some time ago.   Here he passes along a link to the Google Tutorial on Machine Learning certainly worth a look: 

Kirk Borne   @KirkDBorne  

★★★★This Google Tutorial (100+ slides total) on #MachineLearning is the best: https://dy.si/bv6mP 

@jason_mayes  (author, very nicely done ....)

#abdsc #BigData #DataScience #DataMining #NeuralNetworks #AI #DeepLearning #TensorFlow #Mathematics #Algorithms #DataScientists #ReinforcementLearning

Sunday, August 02, 2020

Google Tutorial and Presentation on AI and Machine Learning

Link via DSC to a considerable presentation on Machine Learning from Google. Below a quick intro with a clue to some common uses of what we are now calling AI.

Google Tutorial on Machine Learning
Posted by Capri Granville  in DSC

This presentation was posted by Jason Mayes, senior creative engineer at Google, and was shared by many data scientists on social networks. Chances are that you might have seen it already. Below are a few of the slides. The presentation provides a list of machine learning algorithms and applications, in very simple words. It also explain the differences between AI, ML and DL (deep learning.)  ...



              ......

Much, much more at the link above.   Really worth it if only to scan the slides ...

You can check out the whole presentation (96 slides) here.     ....   I see this is perhaps dated being from 2017,  but appears to be very useful and mostly non-technical. 

Friday, October 18, 2019

40 Machine Learning Tutorials from DSC

This group of tutorials via DSC looks good.  And to get full access you need to join as a member, which I always recommend.   Its free.  If you like self-study, its a great era we live in, lots of free and detailed information.  DSC is a great resource.

40+ Modern Tutorials Covering All Aspects of Machine Learning
Posted by Capri Granville 

This list of lists contains books, notebooks, presentations, cheat sheets, and tutorials covering all aspects of data science, machine learning, deep learning, statistics, math, and more, with most documents featuring Python or R code and numerous illustrations or case studies. All this material is available for free, and consists of content mostly created in 2019 and 2018, by various top experts in their respective fields. A few of these documents are available on LinkedIn: see last section on how to download them   .... " 

Tuesday, May 22, 2018

Simplified Machine Learning

Simplified and non-technical view:

Machine learning: A quick and simple definition
Get a basic overview of machine learning and then go deeper with recommended resources.  By James Furbush in O'Reilly

The following overview covers some of the basics of machine learning (ML): what it is, how it works, and what you need to keep in mind before taking advantage of it.

This information is curated from the expert ML material available on O’Reilly’s online learning platform.  ... " 

Friday, March 02, 2018

Watson Discovery Tutorial

Just mentioned I had taken another look at Watson Discovery,  a means to find leverage-able patterns in the kind of data that many corporations have lots of.   Was one of our first interests. Including both internal proprietary documents and links to external information.   Here a link to a tutorial, with developer guide and information.   See also the slides from this weeks talk and recording with demo.

Monday, December 11, 2017

Byte Sized Deep Learning Tutorials

There seems to be quite a bit to learn in The AI Workbox.  We often learn best by example rather than rules.

Bite-size video tutorials for Deep Learning Developers

Learn the latest cutting-edge tools and frameworks  Level-up, accomplish more, and do great work ... 

And one particular example (there are many more):

Visualize Training Results With TensorFlow summary and TensorBoard ....

Thursday, September 14, 2017

A TensorFlow Tutorial


Have now seen several tutorials, this one starts simply   I will be following the other parts and give some commentary as I can.   For a definition of TensorFlow, see how Google describes it at their site:

 .... TensorFlow™ is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API. TensorFlow was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well. ... " 

Tensorflow Tutorial : Part 1 – Introduction

By Vivek Kalyanarangan on September 12, 2017  

In this multi-part series, we will explore how to get started with tensorflow. This tensorflow tutorial will lay a solid foundation to this popular tool that everyone seems to be talking about. The first part will focus on introducing tensorflow, go through some applications and touch upon the architecture.
This post is the first part of the multi-part series on a complete tensorflow tutorial –

Tensorflow Tutorial – Part 1: Introduction
Tensorflow Tutorial – Part 2: Getting Started
Tensorflow Tutorial – Part 3: Building the first model ..... "