Not op but I do these same things and the answer is a pretty solid “no”. I have tried so much haha.
For thay reason, this approach is limited but highly valuable. I’ll explain how I do it.
Most programming material acn’t be learned this way, but programming podcasts are good for learning about what to learn and for learning methodoloy! I have been listening to the ‘Test & Code’ podcast lately and, especially for a novice Python programmer, this podcast has a lot of this type of knowledge.
I try to avoid podcasts of news and gossip because I do enough of that and more efficiently on HN.
Lectures interspersed with visuals are basically not doable. You’ll find yourself interrupted and distracted from the central activity (commuting, chores) and you lose flow.
Probably the best use I have found for this is for spending time in “hobby topics”. This lets me sort of outsource the effort I spend with my hobby topics to when i am doing other things, preventing the hobby topics from intruding on productivity.
I love media theory, history and philosophy and these things can be discussed with no visuals, and there are many great lectures and academic courses available. This stuff often even informs the creative areas of my job.
My favorite hobby topic is art history but having to stop what I’m doing to reference a visual work is too distracting :(.
As gt says, it depends a lot on the subject. I’m very interested in biological anthropology for example and here it works fine. Sometimes I have to go back to video versions of the lectures.
Generally speaking, except for aubjects such as history I don’t think it can be used as the sole approach to learning, but many cases I think it can be a useful part. You’ll need to hear things more than once anyway!
I'm thinking, isn't the robot somewhat unnecessary? Can't it be done by software instead? Maybe connecting into the inventory management system / POS if the grocery store and do the AI processing in it.
Eventually, an AI that accounted for shrink would be more accurate than any number of cycle counts. Actually, it would not take long, most major retailers have shrink predictions down to two or three decimals, you would just need to train the AI to account for shrink. The most important role of inventory is knowing how much to re-order, which can be done by the AI more easily than any human analysts once you have enough training data. Source: worked in retail management, then inventory software.
Question though. How can ads be placed in a site like that? I'm curious because I want to serve ads for my site but Google Adsense always rejects me because of lack of content.
I actually really like doing text classification using Naive Bayes. I'm still new to it and still learning a lot. But one thing I'm having a hard time answering is explaining Naive Bayes classification in simple terms.
If that was asked to you, how can you explain Naive Bayes classification in simple terms?
I know a lot of spam has the word "Viagra", and very few legitimate emails have the word "Viagra". So if an email contains the word "Viagra", it's more likely to be spam. Naive Bayes classification just applies that to all words in all your emails.
I'll show this to my friend. My friend is waiting an HTML5 version of Swing Copters since it was released! It's because I showed him this[1] and is interested to do something like it for Swing Copters. Now that there is an HTML5 version, he can now proceed to his project.
One thing though, I think this version is easier than the original game. :)
