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Rahim: I am developing a tool that needs to predict the value of a variable based on a combination of multiple variables. Implementations must use the Java programming language. thanks. Predictive value: If you want to start with something simple, consider a q
Neil I've searched for hours and can't find a single thing that answers the question. I created and published new Azure Machine Learning Service and created an endpoint. I can call the service using Postman REST CLient, but accessing the service via a JavaScri
Peter Dabkowski I own a MacBook Pro 15'Mid 2014 and I'm considering buying a Titan X GPU to speed up the training of my neural network. The Titan will connect via Thunderbolt 2 as an external GPU. What kind of performance can I get out of this setup - is it th
ninja If one uses SVM to train a model from kernel data, the resulting trained model will contain support vectors. Now consider the case of training a new model using old data that already exists along with a small amount of new data. so: New data should only
movington Currently, I'm trying to understand how machine learning algorithms work, and one thing I really don't understand is that there is a stark difference between the computational accuracy of the predicted labels and the visual confusion matrix. I will t
Swan 87 I've been trying to build a predictive model using user data. The input to the model is the document's metadata (published date, title, etc.), and the document tags are the user's preferences (likes/dislikes). I'd like to ask some questions that I hope
Luciano Nascimento I'm using AWS Machine Learning regression to predict queue times for restaurants on specific weekdays/times. Today, I have about 800,000 data. Sample data: restaurantID (rowID)weekDay (categorical)time (categorical)tablePeople (numeric)waiti
louis reis I have a question about data preprocessing for machine learning. The data is specifically transformed to have zero mean and unit variance. I have split the data into two datasets (I know I should have three, but for simplicity let's just say I have
ssk I am trying to build a small text mining tool for my android application. I'm checking out a machine learning library that will allow me to do clustering, classification, etc. Is there a machine learning library for Android? I came across tensorflow, but I
qing zhangqing I am learning sklearn module and how to split data. I followed the instruction code categories = ['alt.atheism', 'talk.religion.misc', 'comp.graphics',
'sci.space']
newsgroups_train = fetch_20newsgroups(subset='train',
Neil I've searched for hours and can't find a single thing that answers the question. I created and published new Azure Machine Learning Service and created an endpoint. I can call the service using Postman REST CLient, but accessing the service via a JavaScri
Merck There is a dataset of plants that do some numerical output based on numerical input. The dataset contains several years of input and output values every 15 minutes. Since it is too expensive to model the physical properties of the system in software, I w
Jacob Jacob I have an ensemebel algorithm in R caret that works fine, but I want to account for new incoming data. I want to avoid relearning the algorithm with all the old and new data. library(caret)
data <- iris
model <- train(Species ~.,data=data[1:145,],m
Flat grid I want to tag a bunch of bank transactions according to a set of predefined classes (like the example below, which maps to clojure. I've tried a naive Bayesian approach, but sometimes it gives me the wrong label entirely. From my research, I should u
Miguel Ping I want to label a bunch of bank transactions according to a set of predefined classes (example below, its a map in clojure). I tried a naive bayes approach but sometimes it totally gives me the wrong label. According to my research, I should use a
André Gomes Suppose we have a set of inputs (respectively x1, x2, ..., xn) that give us the output y. The purpose is to predict y based on some yet-to-be-occurring values of x1...xn. It is obvious to me that this problem can be modeled as a regression problem
slaughter I have now isolated the parasites from the images as the research progresses. Parasites look like worms. I want MATLAB to read all input images, look for worms like the dark purple image, and if detected, give a detected reply. I tried using histogra
Charlie I have a machine learning classifier from Create ML. The model was trained on 3400 samples and its accuracy is impressive. However, the model often makes wrong predictions, and I can't seem to figure out how to add it to the model, so it doesn't have h
Stephen Bosch I'm reading a questionable ML text: If we have a supervisor that can give us labels for any x , where should we choose x to learn with fewer queries? So I interpret it as: We were asked to help speed up the learning process by choosing the test e
Monolithic I am trying to make an expert system using machine learning for image processing For example...for example...I have some perfect image sets and learning engines that are trained. If I put a discolored, weird image in the engine, the engine will chan
Rahim: I am developing a tool that needs to predict the value of a variable based on a combination of multiple variables. Implementations must use the Java programming language. thanks. Predictive value: If you want to start with something simple, consider a q
Benj Cabalona Jr. Is there a way to train your machine learning model in the cloud? Or does batch training really have to be done? i.e. (put some SQL data, then feed it to the model) I was thinking of implementing my own model from scratch, using stochastic gr
mutilated Hiho, currently, I'm trying to learn conversations and conversations using machine learning. Unfortunately, I can't find a large archive of chat logs. Do you know some public archives in English and German? Apparently, the meaning of the chat log is
r What does activation function mean in machine learning. I go through most articles and videos and everyone states or compares to neural networks. I am new to machine learning and not very familiar with deep learning and neural networks. So, can someone expla
Jovan Geraldy Candra I wonder if AODE is really better than Naive Bayes, as the description suggests: https://cran.r-project.org/web/packages/AnDE/AnDE.pdf -> "AODE achieves highly accurate classification by averaging over all small spaces." https://www.quora.
Jovan Geraldy Candra I wonder if AODE is really better than Naive Bayes, as the description suggests: https://cran.r-project.org/web/packages/AnDE/AnDE.pdf -> "AODE achieves highly accurate classification by averaging over all small spaces." https://www.quora.
ML users Recently, I was taking a machine learning course on Coursera taught by Andrew Ng. After completing this course, I understand the basics of machine learning algorithms, but I have the following questions: Where can I find real-world examples of machine
Luke Mann I have a set of inputs containing 5000ish features with values ranging from 0.005 to 9000000. Each feature has similar values (a feature with a value of 10ish will not have a value of 0.1ish) I am trying to apply linear regression to this dataset, ho
User 9905924 Please correct me if I'm wrong. "The training set is used to calculate the parameters of the machine learning model, the validation data is used to calculate the hyperparameters of the same model (we use the same weights for different hyperparamet