U.S. prime members get one free arc from the Amazon publishing imprints shown. (Not a borrow, just like buying the kindle edition.)
I have been after my kids to read this and tell me their thoughts on an art journal. I thought it would be a fun exercise for them.
It explains that this type of journal is to go beyond words. To doodle, to draw, to make a collage, to draw and to use photos and write in circles and edges and around the art.
I love the ideas that it shows and explains that this is to be fun and help the journalist explore his/her feelings.
In “Build Deeper - Deep Learning Beginner's Guide by Thimira Amaratunga
This book confirms other predictive system results that I have seen, where it has often been found that we human as a species who fancy ourselves as psychics or using other la-di-da methodologies can at best achieve around an 80% accuracy rate, even with good regular practice and tuning. The more accustomed you are toward reaching ever higher accuracy & precision percentile targets the more the distance to the next little increase in goal horizon. Still it does bring into question the abilities of Science and machine systems designing new machine systems, often through excluding what are regarded as unrepeatable subjective methods in favour of repeatable objectiveness. Outliers and other non-obvious patterns & so on are pushing back the boundaries at the edge of our cultural belief systems.
I don't think that any computer scientist would dispute the point that modern AI or machine learning is nowhere near the threshold of 'consciousness' or even 'general intelligence'. But it's not uncommon for words to have a different meaning within a technical field compared to how they are used in everyday communication. In regular English 'chaos' means unpredictable, whereas in mathematics it refers to the tendency of sensitive nonlinear systems to exhibit emergent attraction basins that can potentially be extremely predictable. Those are arguably even antonyms. Another example would be terms 'deterministic/nondeterministic' in Computer Science, which also differ strongly from their meanings in regular English. The point is that if you feel the need to grandstand on these trivialities, you clearly don't understand the fundamentals of the subject matter under discussion.
If you're into Computer Science and Machine Learning in particular, read on.
Cajun Recipes: 101 (for beginners) by Clara Taylor
Introduction starts out this book with history and I especially like the meanings of some of the cajun words and phrases I've heard as to what they really mean.
Has chapters for breakfast, lunch and dinner meals.
Recommended books are listed at the end. There is no nutritional information although if you do substitute for your dietary needs the dish may not taste the same.
There are NO pictures but this is a treasure to have the recipes of the area.