Questions tagged [machine-learning]

For questions related to machine learning (ML), which is a set of methods that can automatically detect patterns in data, and then use the uncovered patterns to predict future data, or to perform other kinds of decision making under uncertainty (such as planning how to collect more data). ML is usually divided into supervised, unsupervised and reinforcement learning. Deep learning is a subfield of ML that uses deep artificial neural networks.

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27 views

One end to end Neural network or many task-specific ones?

Is it better to train one neural network for a dispersed labeled data with large number of classes or first classify data by unsupervised learning then train each part by a separate NN? I mean by ...
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1answer
74 views

What is machine learning?

What is the definition of machine learning? What are the advantages of machine learning?
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1answer
95 views

Single AI-person in software firm about to adopt AI, good idea?

I have been offered a job with a software firm which does high level custom software. I believe i am the first person there with some AI background and that very soon now many of their projects will ...
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1answer
41 views

What is the prediction accuracy?

In simple words, what is the prediction accuracy? What is it based on? How does it help? When is it used?
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17 views

Binary classification for a series of data (using Keras) to tell if it is a straight line or not a straight line

I am new to machine learning and I would like to seek some advice/help for directions on implementing a binary classification for a series of data and tell if it is a straight line or a not? for ...
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1answer
34 views

Being confused of distribution notations in Deep Learning book

In chapter 5 of Deep Learning book of Ian Goodfellow, some notations in the loss function as below make me really confused. I tried to understand $x,y \sim p_{data}$ means a sample $(x, y)$ sampled ...
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25 views

Sails size recognition

Is it possible to recognize the height and width of the sails of different kitesurfers and windsurfers taken from public webcams? And show these information on video in real time? Or on screenshots?
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22 views

Multiple embedding layers?

How would one go about inputting multiple high dimensionality categorical columns using TensorFlow's Embedding Feature Columns? Does that even make sense to do? For example: for a car price predictor,...
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2answers
56 views

Recognize pattern in dataset

I'm currently working on a group project where we need to find a pattern in a given dataset. The dataset is a collection of X, Y, Z values of a gyroscope from someone who is walking. If you plot these ...
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24 views

How to deal with Neural network input data with different length and type

I'm trying to make use of sensor data from VOC, Humidity, Age, Sampling rate and use them as NN input data. Below are the technical questions I'm struggling to find out. For each training set, I have ...
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1answer
105 views

Are the ideas in the paper “Governance by Glass-Box: Implementing Transparent Moral Bounds for AI Behaviour” novel?

In the paper Governance by Glass-Box: Implementing Transparent Moral Bounds for AI Behaviour, the authors seem to be presenting a black box method of testing. Are these ideas really new? Weren't these ...
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2answers
35 views

Are there tools to help clean a large dataset so that it only contains faces?

I have a fairly large dataset consisting of different images with and without persons that I want to use for a project. The problem is that I only want the pictures that contain faces, and it is best ...
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2answers
166 views

How do I plot a matrix of ratings?

I have a .csv file called ratings.csv with the following structure: ...
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1answer
71 views

Is there research about teaching AI to “analyze the problem and design a solution”?

Update on 2019-05-19: My question is about teaching AI to solve the problem, not letting AI teach a human developer to solve a problem. Original post: I'm a software developer but very new to AI. ...
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2answers
101 views

Time series RNN vs DNN

Understandably RNNs are very good at solving problems involving audio, video and text processing due to arbitrary input length of this sort of data. What I don't understand is why RNNs are also ...
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2answers
114 views

Is there a machine learning algorithm to find similar sales patterns?

I have a dataset as follows (and the table extends to include an extra 146 columns for companies 4-149) Is there an algorithm I could use effectively to find similar patterns in sales from the other ...
3
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1answer
36 views

How do I represent a multi-dimensional state using a neural network?

I have a set of 15 unique playing cards from a deck of 52 playing cards. A given state is represented by the respective card values in the set of 15 cards, where the card value is a prime number ...
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1answer
84 views

Which model is better given their training and validation errors?

Below you have the plots of the training and validation errors for two different models. Both plots show the RMSE values for the validation dataset versus the number of training epochs. It is observed ...
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1answer
12 views

Should I call the error “validation error” or “test error” during cross validation?

I'm using 10-fold cross validation on all models. Here you can see both plots: Since I am using k-fold cross validation, is it okay to name it "validation error vs training error" or "test error vs ...
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2answers
106 views

Why do we need multiple LSTM units in a layer?

What is the point of having multiple LSTM units in a single layer? Surely if we have a single unit it should be able to capture (remember) all the data anyway and using more units in the same layer ...
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1answer
195 views

A mathematical explanation of Attention Mechanism

I am trying to understand why attention models are different than just using neural networks. Essentially the optimization of weights or using gates for protecting and controlling cell state (in ...
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1answer
60 views

Next step after building the model in machine learning?

I understand the way we build a model but all of the online courses I've found end with this--I can’t find any course explaining the process utilising the model to address the problem. How do I use ...
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0answers
20 views

Estimate distance between points in perspective image

I am trying to estimate the real world distance (in metres) between two points in a perspective image using an uncalibrated camera. However, the dimensions of an object in the image are known. I ...
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0answers
33 views

String matching algorithm for product recognition

I'm building a web application that collects schema.org data from different webshops as Amazon, Shopify, etc. It collects data every 6h and shows the current and lowest price. It is used for ...
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1answer
89 views

How do I solve the problem of positioning 11 pieces into a 8x8 puzzle?

I was trying to figure out how to create a solver to the puzzle of putting 11 pieces in a board (8 x 8). I created the game in http://www.xams.com.br/quebra. It is possible to turn the piece 90 ...
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2answers
181 views

What is the relation between semi-supervised and self-supervised visual representation learning?

What's the differences between semi-supervised learning and self-supervised visual representation learning, and how they are connected?
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3answers
222 views

Are expert systems dead?

Besides all the fashion about machine learning, data analysis and reinforcement learning, what is going on in the expert systems field and symbolic AI ? There are plenty of domains where machine ...
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1answer
133 views

Which machine learning models are universal function approximators?

The universal approximation theorem states that a feed-forward neural network with a single hidden layer containing a finite number of neurons can approximate a wide variety of interesting (...
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7 views

Is there anyone who tried to discretize a continuous feature using the FDIC method(Frequency Dynamic Interval Class) ? (seems a great method)

I want to discretize a continuous attribute, I applied a lot of methods but it's clear that i'm losing information at each time, until I found the FDIC method wich seems great but I couldn't ...
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3answers
132 views

How can I develop a prediction algorithm for a game of chance?

How can I develop a prediction algorithm in the case of games of chance? Suppose there is a 50:50 chance of winning. Is there way of creating a prediction algorithm?
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0answers
32 views

DQN not able to learn in a game where other agents perform random walks

I am making a school project where I should develop any kind of game where I can have one reactive agent and one agent based on machine learning competing with each other. My game consists of a ...
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1answer
23 views

Google speech to text API

I need to fix this python code to my project There is the code: https://www.alexkras.com/transcribing-audio-file-to-text-with-google-cloud-speech-api-and-python/ Here the error: Traceback (most ...
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0answers
26 views

What is the right formula for weight update rule in Logistic Regression using stochastic gradient descent

Apologies for the lengthy title. My question is about the weight update rule for logistic regression using stochastic gradient descent. I have just started experimenting on Logistic Regression. I ...
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1answer
116 views

What is a temporal feature?

What is a temporal feature, what features make something temporal in nature? Is this problem agnostic? How does it change from different fields of study?
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15 views

N fold Cross Validation

I want to make 8 fold cross validation from the dataset. The dataset is the musical onsets annotated which has txt format at each songs. How to make the another folder like called splits (the name ...
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1answer
20 views

what are the similarity measure use for both continuous and categorical data?

I have searched but found that some similarity measures are for continuous data and some are for categorical data. But i want to know the similarity measures which are use for both data, continuous ...
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1answer
44 views

Which unsupervised learning algorithm can be used for peaks detection?

So, I have a dataset which has around 1388 unique products and I have to do unsupervised learning on them in order to find anomalies (high/low peaks). The data below just represents one product. The <...
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0answers
22 views

Deploy notebook in IBM Watson

I have a python notebook in IBM Watson Studio for a time series forecasting purpose. it takes two input data MAX MIN and it returns two lists of data having 10 steps ahead prediction of both ...
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0answers
18 views

Speech to text models

I'm currently using google speech to text api to transcribe audio in real time (police scanner audio dispatches). The audio quality isn't great and I've been putting in key words to try to help train ...
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2answers
162 views

Examples of Rote Learning in AI

What can be the examples of Rote Learning in Artificial Intelligence to understand it more easily? Any references are appreciated.
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0answers
18 views

Machine Learning vs Deep Learning [duplicate]

Why is deep learning more boarder than machine learning?
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0answers
14 views

Estimating Baselines using ALS

I am trying to figure out how ALS works when minimizing the following formula: $\\ \\$ $\text{min}_{\lbrace b_u,b_i \rbrace} \sum_{(u,i)\in \mathcal{K}} (r_{ui} - \bar{r} - b_u - b_i )^2 + \lambda_{...
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0answers
41 views

Why do we use the word “kernel” in the expression “Gaussian kernel”?

I've heard the expression "Gaussian kernel" in several contexts (e.g. in the kernel trick used in SVM). A Gaussian kernel usually refers to a Gaussian function (that is, a function similar to the ...
4
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1answer
64 views

How to deal with small amount of labeled samples?

I'm trying to develop skill to deal with very small amount of labeled samples (250 labeled/20000 total, 200 features) practicing on Kaggle "Don't Overfit" dataset (Traget_Practice have provided all 20,...
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0answers
31 views

Should I use the hyperbolic distance loss in the case of Poincarè Disk Model?

I trained a neural network which makes a regression to a Poincarè Disk Model with radius $r = 1$. I want to optimize using the hyperbolic distance $$ \operatorname{arcosh} \left( 1 + \frac{2|pq|^2|...
2
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1answer
56 views

Using UMAP, PCA or t-SNE to find the separating hyperplane?

Is it possible to use t-SNE, PCA or UMAP to find separating hyperplane? Assume we have data points in high dimensional space and we want to phase separate it into two sets of points? Is there a way ...
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19 views

Is it possible to use AI to find music that have a distinct tune?

Without considering lyrics, there are two type of songs: songs that have a distinct tune which you can easily remember, and songs that are the opposite. Can we design a network to identify the songs ...
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0answers
18 views

Size of dataset for feature vector with rare event

I'm doing a model to detect duplicate in my database (there is a lot of features that can be different but mean same object in the end) So I have my feature vector for my duplicate dataset which ...
4
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2answers
160 views

Use Machine Learning/Artificial Intelligence to predict next number (n+1) in a given sequence of random increasing integers

The AI must predict the next number in a given sequence of incremental integers (with no obvious pattern) using Python but so far I don't get the intended result! I tried changing the learning rate ...
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1answer
36 views

Do we train a logistic regression model using a dataset that is 3 times bigger than the validation dataset?

Suppose we have a data set $X$ that is split as $X_{\text{train}}$, $X_{\text{val}}$ and $X_{\text{test}}$ and the outcome variable is binary. Let's say we train three different models (logistic ...