Thanks for the clarification. I've actually been out of the field of AI for 
quite a few years, and am woefully behind the times :-(   It appears that 
machine learning is integral to much of AI these days, and it was just in 
its infancy when I was in the field.

On Saturday, September 21, 2019 at 3:49:59 PM UTC-5, Dragan Djuric wrote:
>
> The statement refers to the whole series at https://aiprobook.com of 
> which NLAFP is an important foundation stone. So, LA in itself is clearly 
> not AI, but LA is the basic foundation in AI software implementations, and 
> is usually discussed in AI books, sadly, without much reference to actual 
> implementations. 
>
> On Sat, Sep 21, 2019 at 10:46 PM Gary Schiltz <gary....@gmail.com 
> <javascript:>> wrote:
>
>> I checked out your link. On the page it says "the only AI book that walks 
>> the walk." As an AI guy from the 1980s, I have to ask: Is Numerical Linear 
>> Algebra these days considered to have something to do with Artificial 
>> Intelligence?
>>
>> On Wednesday, September 11, 2019 at 11:52:42 AM UTC-5, Dragan Djuric 
>> wrote:
>>>
>>> Numerical Linear Algebra for Programmers: An Interactive Tutorial with 
>>> GPU, CUDA, OpenCL, MKL, Java and Clojure
>>>
>>> new release 0.3.0 is available
>>>
>>> https://aiprobook.com/numerical-linear-algebra-for-programmers
>>>
>>> basically…
>>>
>>>    - a book for programmers
>>>    - interactive & dynamic
>>>    - direct link from theory to implementation
>>>    - incredible speed
>>>    - Nvidia GPU (CUDA and cuBLAS)
>>>    - AMD GPU (yes, OpenCL too!)
>>>    - Intel & AMD CPU (MKL)
>>>    - Clojure (magic!)
>>>    - Java Virtual Machine (without Java boilerplate!)
>>>    - complete source code
>>>    - beautiful typesetting (see sample chapters below)
>>>
>>> -- 
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