Skip to main content

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.

Filter by
Sorted by
Tagged with
0 votes
0 answers
8 views

Adding activation functions in computational graph

In some cases, I saw that the activation function like sigmoid is not added in the computational graph. Is it like a personal choice, or there could be any other reason? In general, is there any hard ...
opu 웃's user avatar
  • 101
-2 votes
1 answer
50 views

How can I learn about machine learning? [closed]

Is there something out there for beginners? I know programming, but i'm new to AI
Sriansh's user avatar
0 votes
0 answers
16 views

Cross validation and MICE imputation

I'm working on a binary classification problem where I have some missing data. My initial idea was to use MiceForest. I'm also using stratified k fold technique (Data is imbalanced). I also want to ...
chapu's user avatar
  • 1
0 votes
0 answers
19 views

What AI/ML techniques exist for color palette generation?

Color palette generation for UIs, designers, etc. They are usually created without AI/ML using simple math operations, but what are some examples of AI/ML-based color palette generation?
user56510's user avatar
0 votes
1 answer
74 views

Does Machine Learning focus on discriminative AI while Deep Learning also focus on generative AI?

I know that Deep Learning is subset of Machine learning But is it correct that classical ML algorithms mainly focus on implementing Discriminative AI while DL algorithms implement both Generative AI ...
DSP_CS's user avatar
  • 181
0 votes
1 answer
34 views

How to build an AI, which is supposed to show emotions to an human User? [closed]

I plan to develop a computer pet that is as natural as possible. I think that neural networks can be used well for this, because they make it possible to constantly adapt to the user and also don't ...
b bud's user avatar
  • 1
0 votes
1 answer
56 views

I want to train a custom chatbot, how should I start

I want to make a chatbot, which can interact like a human(chat gpt). I want to use something completely free like open assistant, etc. I want to learn things along the way, but want to start simple So,...
Sriansh's user avatar
0 votes
1 answer
32 views

Can software testers transfer their skills into adversarial testing for AI/LLMS?

My sincere apologies if I am more asking for advice, rather than a solution to a specific problem. However, I am trying to survive in this new world as a software tester. I have been doing test ...
hungryhippos's user avatar
-1 votes
0 answers
30 views

Find an explicit mapping in the two-dimensional space to transform the linearly nonseparable dataset into a linearly separable one

Q: Find an explicit mapping in the two-dimensional space to transform the linearly nonseparable dataset into a linearly separable one. Show the transformed data points on a plot. I tried many non ...
Ankit Basu's user avatar
0 votes
0 answers
19 views

How can I train a decision tree or simple ML model with spike detections

I am looking for some advice for my problem. I have a spike detection algorithm that detections outliers in a signal. I have annotations in my dataset that tells me if I am in 3 events, basal, event A ...
GGChe's user avatar
  • 1
0 votes
0 answers
13 views

Training agents to avoid collision with nearby agents and obstacles

I would like to create an agent-based simulation model in which a single agent, a person generated at the space's boundary, aims to reach a predefined destination while avoiding nearby agents and ...
Mohit Masiwal's user avatar
0 votes
0 answers
10 views

Understanding matching of a CNN Layer's Output With the Receptive Field of Input Layer

I was trying to implement the following paper: https://arxiv.org/abs/1610.01563 and I came across something that seemed ambiguous to me. On page 4, second paragraph, it says After processing the ...
Redwanul Haque Sourave's user avatar
0 votes
0 answers
41 views

Downsides of training a neural network in constant time

Assumption Let's assume we collect a high quality amount of training data for machine translation for example parallel corpus data from the european parlament combined with other data. We store these ...
user1232048's user avatar
0 votes
1 answer
23 views

How do I prepare a multi group time series dataset into a supervised learning one?

ML newbie here, I have a time series dataset that looks like this: ...
Snak's user avatar
  • 1
0 votes
0 answers
51 views

Neural network with a variable # of neurons

Hello I want to design a AI.The neural network of my AI will consist of 1 input layer of neurons and 1 output layer. What is very unique about the neural network is that the # of input neurons will ...
Root Groves's user avatar
0 votes
1 answer
43 views

In multi-class classification, how accurate can the model be if there's class imbalance?

My dataset has essentially multi-classification problem, where I have the treatment failure (0), cure (1) and relapses (3) of patients that are associated with a series of covariates (~100 different ...
Jeff's user avatar
  • 3
0 votes
0 answers
30 views

How to deal with "real" data and closed formed equation in machine learning?

My goal is to perform regression over a set of data coming from the "real world" (sensors). The data is in tabular format. There are 6 independent features with very different values (...
user19296578's user avatar
0 votes
0 answers
26 views

Train AI to schedule a league with certain constraints

I need some suggestions on options to look into to train an AI model to schedule sporting events based on certain constraints. Contraints like no back to back games, 2 games per day, 1 per week, keep ...
Mike Flynn's user avatar
-1 votes
1 answer
161 views

Difference between .pt and .pth extensions in PyTorch model saving [closed]

I'm working on developing models using PyTorch and frequently experiment with pre-trained models. 've read through the PyTorch documentation. When saving models, I've noticed that sometimes the files ...
krp's user avatar
  • 11
1 vote
1 answer
55 views

Why are neural networks optimized instead of just optimizing a high dimensional function?

I know that neural networks are universal approximators when given a sufficient number of neurons, but there are other things that can be universal approximators, such as a Taylor series with a high ...
Yash Nath's user avatar
1 vote
0 answers
17 views

Best method for finding centroid of 3D object?

I'm somewhat new to machine learning and want to implement a manufacturing application that finds the centroid of an irregular object so that as little material as possible is removed during ...
dstoddard's user avatar
0 votes
0 answers
31 views

How Fourier Neural Operator achieves zero-shot super-resolution?

I've been delving Fourier Neural Operator recently, but one aspect continues to perplex me: the "zero-shot" super-resolution. The confusion lies in the implementation. To my understanding, ...
physics_rocks's user avatar
0 votes
0 answers
14 views

Showing Axis-Aligned Rectangles With Noise Are PAC-Learnable (FML, Problem 2.6)

I asked the following in Math Stack Exchange and was told "You may be more likely to get an answer on stats.stackexchange.com". I figured this is a more suitable place. In what follows, an ...
Choripán Con Pebre's user avatar
0 votes
0 answers
16 views

Seeking research and on how AI is impacting professions

I'm currently delving into a research project focused on understanding how artificial intelligence (AI) is reshaping professional fields and job roles. I'm particularly interested in the most recent ...
Emil Lindström's user avatar
0 votes
2 answers
63 views

Does 1-bit quantization (layers with boolean tensors) machine learning exist?

Does 1-bit quantization machine learning exist? Pytorch's docs on "Quantization" define it as: techniques for performing computations and storing tensors at lower bitwidths than floating ...
Geremia's user avatar
  • 205
0 votes
0 answers
27 views

What’s more efficient in multihead attention: multiply QKV by $W_i$ then split or linearly project QKV $h$ times into dimensions $d_k$?

I’m looking to bridge two implementations of multihead attention. Approach 1: Multiply and Split Each of the queries, keys, and values is multiplied by a separate square weight matrix of size (...
marcocamilo's user avatar
0 votes
0 answers
28 views

Advice on Handling Variable Input Sizes in a Neural Network Model for Predicting Football Match Outcomes

I am developing a machine learning model aimed at predicting football match outcomes based on past team performances. The model incorporates data from the last 10 home games for the home team and the ...
Drk's user avatar
  • 1
0 votes
2 answers
64 views

What do we mean by "AI is correlated"?

From Wikipedia Causal AI is a technique in artificial intelligence that builds a causal model and can thereby make inferences using causality rather than just correlation. One practical use for ...
quanity's user avatar
  • 109
0 votes
0 answers
15 views

How To Resolve This Error

I have a cell here in google colab: And here is the error message: I don't really understand how to resolve this error. Could someone help me understand how to fix this? Any help is greatly ...
zed's user avatar
  • 1
0 votes
1 answer
34 views

Best way to classify chess pieces on a chessboard (on a square) [more details in the post]?

Ok, so I am working on a project which classifies chess pieces. The input is just a chess piece from a specific chess set on a white / black square on the chessboard. So it's just an image of a chess ...
vct12345's user avatar
0 votes
1 answer
23 views

Proof that Temporal-Difference TD(1) is Equivalent to Widrow-Hoff

I'm reading Sutton's "Learning to Predict by the Methods of Temporal Differences" and I'm getting hung up on a derivation (p. 14). We are considering (observation-sequence, outcome) pairs. $[...
Matheo Xenakis's user avatar
0 votes
0 answers
33 views

Segment a spectrogram into a series of images by (constant) beats per minute to train a Deep Neural Network

I have a .csv file with information about a soundtrack and it is divided into beats (per minute), which are ordered by row. As in: the index corresponds to each beat, and the columns have info about ...
Johnathan Smitherton's user avatar
0 votes
0 answers
14 views

Why people always use l2 loss in Neural Tangent Kernel and other neural network theory?

What if we use l1 loss? I attempt to use NTK to get the convergence rate of a NN. Here is the original l2 loss version: https://rajatvd.github.io/NTK/. When I relpace it to l1 loss, I find the ...
orbin Lee's user avatar
0 votes
0 answers
16 views

Is it Possible to fit a sklearn model using a excel spreadsheet

hi i am new to this community, but i came up with this curiosity as i am having an embedded board to train a sklearn i have nvidia jetson tx2 with 256 nvidia cuda cores so inorder to take less load in ...
Ashok's user avatar
  • 1
0 votes
0 answers
26 views

Neural Network with Incorrect Calculation Better than Correct One

I have designed my own neural network and discovered an error. During backpropagation, instead of inserting the Z-values into the derivative of the activation function, I inserted the A-values. The ...
Apro9991's user avatar
0 votes
0 answers
21 views

What machine learning algorithms are used in demand forecasting?

What are the most commonly used machine learning algorithms used in demand forecasting?
Mika's user avatar
  • 361
0 votes
1 answer
99 views

xLSTM parallel computation - mismatch in dimensions

In this recent paper, a new architecture is proposed, called xLSTM. I've implemented the sequential version in PyTorch, but it's slower than I would like, so I'm now implementing the parallel version ...
Quaere Verum's user avatar
0 votes
0 answers
9 views

i have a combined pandas dataframe X_train with 22200 samples and 3 features. how can i model this

more info on how data is generated: A signal is passed to a concrete specimen while increasing the frequency of the signal conductance,susceptance of concrete is measured.The experiment is performed ...
Saketh's user avatar
  • 1
1 vote
1 answer
58 views

How to evaluate the KL divergence between two distributions that may require sampling?

The KL divergence between two distributions is: \begin{equation} \int \mathbf{p}(x;\theta_{1}) \; log \frac{\mathbf{p}(x;\theta_{1})}{\mathbf{p}(x;\theta_{2})} \nu(dx) \\ \end{equation} If the ...
xiaolingxiao's user avatar
0 votes
0 answers
19 views

NN with user as a teacher

I have similar question to the following one. Could an AI be built to learn based of interaction with a human? What category of NN is the situation when the network learns from users feedback? The NN ...
Jacek's user avatar
  • 1
0 votes
1 answer
108 views

Does a random forest classifier always get 100% accuracy on its own training data?

Due to the way that decision trees work, do random forest classifiers always get 100% accuracy on their own training data? My random forest classifier got 100% accuracy on its own training data, so I'...
user1181399's user avatar
0 votes
2 answers
28 views

One Softmax or two separate logistic regressions for the task of classifying pictures as a/b and c/d

Simply put, the question 11 in chapter 4 of Aurélien Géron's book "Hands-on Machine Learning" asks: Suppose you want to classify pictures as outdoor/indoor and daytime/nighttime. Should you ...
Dimitri's user avatar
  • 23
0 votes
1 answer
47 views

Book(s) recomendation for Probability Theory Foundations

I am in the process of learning ML and AI. I've been taking some courses, and I now understand the foundations of the big picture of Machine Learning. I've been using Pattern Recognition and Machine ...
John Pinto's user avatar
2 votes
1 answer
46 views

How does Training and Validating work with Graph CNNs

I'm training a Graph Convolutional Neural Network to output embeddings for nodes that I eventually want to perform classification on. I am a little confused on how the training, validation, and ...
Kiran Manicka's user avatar
0 votes
0 answers
34 views

Model suggestion for AI based scaling

We are exploring the idea of scaling elements within a UI container based on the given size. The container is represented by a json object, for example: ...
Sameed's user avatar
  • 101
0 votes
0 answers
17 views

How to Implement a Text-Based Question Answering System for PDF Documents using Machine Learning?

As a beginner in machine learning, I've completed a basic text classification project in university. Now, I'm eager to build a system that can answer specific questions from a large collection of PDF ...
Rudra Sarkar's user avatar
0 votes
0 answers
25 views

1D CNN with Single vs. Two Channels for Number Image Recognition

I am taking images of numbers as input, in a convolutional neural network and building a model to predict the number. In particular, I am building a one dimensional convolutional neural network with ...
Ling Guo's user avatar
  • 121
1 vote
1 answer
35 views

Why same learning rate for slope and intercept not working in Linear regression?

I'm a new student in AI, currently learning linear regression. I used the california housing dataset for doing my experiments. My goal is to predict the 'population' column based on the 'total_rooms' ...
Jahid Chowdhury Choton's user avatar
1 vote
1 answer
195 views

why we use learnable positional encoding instead of Sinusoidal positional encoding

In the original paper of transformers they using positional encoding to capture the position of each word in the sentence and for calculate that it using sin and cos ,like shom in the image. In Bert ...
LAILA EL OUEDEGHYRY's user avatar
0 votes
2 answers
78 views

Which type of ML algorithm takes the least amount of time for training?

I am doing research on proteins. I have 17,000 *.CSV files on my hard disk. These files represent the chains of proteins. I want to use these ...
user366312's user avatar

1
2 3 4 5
48