All Questions
Tagged with algorithmsdeep-learning
24 questions
0votes
0answers
39views
How to build a recommendation system Based on user infos and without ratings?
I would like to build a recommendation system based only on user informations(age,sex,zipcode,and some quiz answers),based on those features i want to recommend assurance products, but i am confused ...
0votes
0answers
17views
Cost function looks like the real math which is responsible for actually working on out problem statement If I talk on a whole and on a surface level?
Looking at the cost function for say linear regression, apart from changing the weight or the parameters, the cost function does the real job, right? If it is correct, what does cost function do in ...
0votes
1answer
53views
ML/AI - current algorithm landscape
ML spans a wide assortment of supervised models (k-nearest neighbours, random forests, Naive Bayes, logistic regression, support vector machines, neural networks) and unsupervised models (k-means, ...
- 1
1vote
1answer
402views
Yolov5 image detection without segmentation?
I have read a number of papers on Yolov5 images detection techniques. But the papers don't refers to any segmentation step done by Yolov5. While I know that it is not possible to do image ...
- 113
1vote
1answer
35views
How does Google's 'showing results for' work? [closed]
If I search 'I love to eate my food' on Google then Google will 'show results for' I love to eat my food.... How does this algorithm work?
- 19
0votes
1answer
166views
Can somebody explain me the meaning of this sentence? (Color Similarity - Selective Search Algorithm)
This is a sentence from this article : Color similarity: Computing a 25-bin histogram for each channel of an image, concatenating them together, and obtaining a final descriptor that is 25×3=75-d. ...
1vote
4answers
75views
Deep Learning model for classifying skin diseases
I have planned to create a deep learning model that classifies skin diseases(around 5 to 7 diseases). Please suggest me a good deep learning model to go with. I am planning to integrate this model as ...
- 11
5votes
4answers
8kviews
What is the difference between AI, ML, NN and DL? [closed]
What is the difference between the following four categories: Artificial Intelligence (AI) Machine Learning (ML) Neural Network (NN) Deep Learning (DL) Data Science My current understanding is that ...
- 181
2votes
0answers
27views
Deep Continious Clustering algorithm - just one output cluster
I use the DCC algorithm to cluster some data. The whole algorithm is available here, but shortly it is: construct mkNN graph of the data points (the connected components of it are the clusters). ...
- 157
2votes
0answers
239views
Do learning rate scheduler have any significant improvement or redundant on Adam optimizer?
As in paper, Adam optimizer is adaptive learning rates algorithm. Is learning rate scheduler become redundant when use with Adam and AdamW ? Is it best practices to use learning rate scheduler with ...
- 243
3votes
2answers
998views
The difference between data science and algorithm development
I see a lot of job opportunities in the field of data science but I'm not sure the difference between a data scientist and deep learning algorithm developer. Can someone explain that to me?
2votes
2answers
3kviews
Batch Gradient Descent vs Mini-Batch in Deep Learning
In Batch Gradient Descent (BGD), it is said that one iteration of gradient descent update takes the processing of whole entire dataset, which I believe makes an epoch. On the other hand, in Mini-Batch ...
- 43
2votes
1answer
6kviews
Matching Algorithms in Python
We run a online marketplace for Commercial Real Estate industry and are looking to write matching algorithms to reduce the cost of search and transaction for the property owners/tenants. We have two ...
- 330
1vote
1answer
43views
Finding the usage percent to perform predictive analysis for new users
Problem Statement- I have to find the average feature usage all the users and the usage of user X to suggest if he should use the feature. Example - On google home page out of all the user's avg 85% ...
- 111
2votes
0answers
41views
How do I use the supervised learning classification in my project? [closed]
Just to give an idea of what I'm doing: I'm doing a project with financial data (tick data) and I'm trying to create a way make a model learn what happens before a breakout. Usually there is ...
- 121
