artificial_intelligence | My C++ deep learning framework & other machine | Machine Learning library
kandi X-RAY | artificial_intelligence Summary
kandi X-RAY | artificial_intelligence Summary
My C++ deep learning framework & other machine learning algorithms
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of artificial_intelligence
artificial_intelligence Key Features
artificial_intelligence Examples and Code Snippets
Community Discussions
Trending Discussions on artificial_intelligence
QUESTION
In the Artificial Intelligence: A Modern Approach textbook, IDS is stated to have a space complexity of O(bm), where b = branching factor and m = maximum depth of tree. What nodes does IDS store during its traversal that causes it to have a O(bm) space complexity ?
ANSWER
Answered 2020-Apr-22 at 10:20On Wikipedia it says the space complexity is simply the depth d of the goal, as it is essentially a depth-first search; that is what it actually says in my copy of AIAMA (p. 88)
I can only imagine that the O(bm) assumes that the top level of all visited nodes is stored, which would be the branching level times the current depth. There is no need to store the higher-level nodes, as they have already been searched.
QUESTION
So I'm trying to make a discord bot that sends links. I have this code that scrapes a website and sends the href link to discord.
...ANSWER
Answered 2019-Nov-19 at 20:14You are returning the value from the callback function but that value isn't be 'returned' to anything really. The callback function (the 2nd parameter to request) is called when the request completes, and you get the link. If you want to work with it you should do so within the callback function.
Remember that your callback function is called by the request function when it has the final data, but it doesn't do anything with whatever your callback function returns.
You can use the link variable, and you can even set another variable to that value, but remember that since it's a callback function, it may execute well after the function that called request has completed.
QUESTION
So, I have a keyword list lowercase. Let's say
...ANSWER
Answered 2019-Nov-13 at 15:16This is probably not the best pythonic way to do it but it works with 3 steps.
QUESTION
I am running LDA on a number of texts. When I generated some visualizations of the produced topics, I found that the bigram "machine_learning" had been lemmatized both as "machine_learning" and "machine_learne". Here is as minimal a reproducible example as I can provide:
...ANSWER
Answered 2019-Sep-13 at 17:28I think you misunderstood the process of POS Tagging and Lemmatization.
POS Tagging is based on several other informations than the word alone (I don't know which is your mother language, but that is common to many languages), but also on the surrounding words (for example, one common learned rule is that in many statements verb is usually preceded by a noun, which represents the verb's agent).
When you pass all these 'tokens' to your lemmatizer, spacy's lemmatizer will try to "guess" which is the Part of Speech of your solitary word.
In many cases it'll go for a default noun and, if it is not in a lookup table for common and irregular nouns, it'll attempt to use generic rules (such as stripping plural 's').
In other cases it'll go for a default verb based on some patterns (the "-ing" in the end), which is probably your case. Since no verb "machine_learning" exists in any dictionary (there's no instance in its model), it'll go for a "else" route and apply generic rules.
Therefore, machine_learning is probably being lemmatized by a generic '"ing" to "e"' rule (such as in the case of making -> make, baking -> bake), common to many regular verbs.
Look at this test example:
QUESTION
If you open the computer science category in wikipedia (https://en.wikipedia.org/wiki/Category:Computer_science), it displays a total of 19 subcategories (https://en.wikipedia.org/wiki/Category:Computer_science). Now, for all these 19 subcategories, if I want to extract only the page names (the titles of pages). For example Pages in category Computer science has 45 pages which is displayed as bullets just below the wikipedia subcategories list. Now for all the other associated subcategories, for example the Areas of computer science is a subcategory with 3 pages (https://en.wikipedia.org/wiki/Category:Areas_of_computer_science). But, again it has 17 sub-categories (i.e. depth 1, considering the traversal, i.e. depth = 1 means, we are 1 deep). Again, algorithm and data structures (https://en.wikipedia.org/wiki/Category:Algorithms_and_data_structures) having 5 pages, and artificial intelligence (https://en.wikipedia.org/wiki/Category:Artificial_intelligence) having 333 pages with some additional categories and subcategories spanned in multiple pages (see Pages in category "Artificial intelligence") with 37 categories and 333 pages, like this the list goes on more deeper. We are now in depth 2. What I need is to extract all the pages (titles) for the traversal with depth 1 and depth 2. Does there exist any algorithm to achieve the same?
For Example: the subcategory area of computer science is again having some (17) subcategories with a total number of pages 5+333+127+79+216+315+37+47+95+37+246+103+21+2+55+113+94 pages considering all the (17) subcategories. This is depth 2 because, I toggled twice the list. Similarly, same thing needs to be incorporated for the rest 18 subcategories (https://en.wikipedia.org/wiki/Category:Computer_science) with a depth of 2 for the base root Computer science?
Does there exist any way to achieve this? Displaying and extracting that many number of pages is difficult because it will be huge. Thus, maximum threshold of 10,000 pages would be absolutely okay.
Does there exist any way to do this? Any small help is deeply appreciated!
...ANSWER
Answered 2018-Oct-11 at 14:00There is a tool called PetScan hosted by Wikimedia labs. You can easily type the category title, then select the depth you want to reach, and then it's done!. https://petscan.wmflabs.org/
Also, see how it works https://meta.m.wikimedia.org/wiki/PetScan/en
QUESTION
I have a text string and I want to replace two words with a single word. E.g. if the word is artificial intelligence, I want to replace it with artificial_intelligence. This needs to be done for a list of 200 words and on a text file of size 5 mb.
I tried string.replace but it can work only for one element, not for the list.
Example
...Text='Artificial intelligence is useful for us in every situation of deep learning.'
ANSWER
Answered 2017-Jun-08 at 12:48I would suggest using a dict for your replacements:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install artificial_intelligence
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page
