All Questions

I am new machine learning practitioner. I have run fuzzy c-means algorithm on a multi-label dataset (PPI dataset) on the network using skfuzzy python library. I want to evaluate the performance of the ...

I used Vgg16 to create a deep learning model and the dataset is imbalanced so, I used class_weight argument in fit_generator method. The model result as the following: accuracy= 98.9% and loss= 0....

I have multiple labels per image. is it better to train taking each each label separately or should i mark all the labels present as 1 in the same image? which method is better? i will be using CNN ...

I have read quite a lot about capsule networks but cannot understand how the squashed vector would also rotate in response to rotation of the image.A simple example would be helpful.I understand how ...

here i want to cluster some 1000 tweets using k-mean algorithm..i don't want the correct output but just want clustering of tweets. suppose 1 cluster contain 300 tweets than all the contain of 300 ...

During a course I attend in university, I encountered a question about estimating the error for a Bayes optimal classifier. The course gives the following example for a Bayes Classifier: Given two ...

I was looking for solution on StackExchange, but I didn't find anything which matches my question. I am using this dataset: https://web.archive.org/web/20100704072013/http://lpis.csd.auth.gr/mlkd/...

python models/object_detection/train.py --logtostderr --train_dir=training/ --pipeline_config_path=training/ssd_inception_v2_coco.config INFO:tensorflow:Restoring parameters from /home/rahul/...

I have recently taken the course cs231 of Stanford. When doing assignment 2 about CNN, I faced with two problems. First, if the input (image) have shape (N, C, H, W), where N is the number of images ...

I'm using an experimental ResNet to train an object midpoint detection DNN (Specifically, I have images, with a football in the image, and a separate file which has the midpoints of the football, for ...

Lets say I have machine learning classification model whose goal is to predict whether a given seller's e-commerce shipment will be returned by the shipment's buyer. There are many different sellers ...

I have a dataset of about 1 million tweets corresponding to about 30,000 user accounts, labelled with binary data (classifying the tweet as written by a bot). With that amount of data, I could use a ...

I'm looking to get an estimate of the prevalence of 1's (i.e. the rate of positive labels) in a very large dataset that I have. However, I am hoping to report this percentage as a 95% credible ...

I faced a problem which I'd like to solve w/o any programming. And looking for a software to do this. I have a dataset, for example: (brand-id, brand-name, product-class-name;) ...

It is said that for: Feature Normalization - The test set must use identical scaling to the training set. And the point given is that: Do not scale the training and test sets using different ...

please send me if you have LSTM full code for non-linear regression i want to use LSTM for regression purpose in FBG sensor system so i need the code of LSTM for regression

I want to align multiple time series sequences $T:=\lbrace t_1,\ldots,t_N\rbrace$ of varied length in time using Dynamic Time Warping (DTW), such that all vectors in $T_{warped}$ will have the same ...

So I'm doing the tensorflow tutorial found here: https://www.tensorflow.org/tutorials/keras/basic_classification Basically, my input is a [28x28] matrix (image) that I flatten to a [1x784] vector. ...

I tried to understand the code provided below. This code is for Regularization using python. ...

In the previous discussion I have tried to solve the TTT game with Q-learning with tables. Now I have tried to use Neural Network like function approximator and following these articles (for game of ...

I'm trying to implement a Double Dueling DQN on LunarLander and I'm facing an issue as my model is not learning so I'm trying to debug the graph and this leads me to a question regarding the ...

I have a relational database containing hundreds of thousands of appliance with properly formatted information plus standardized images. Here is a basic sample of the format of the information My ...

I want to build a recommender system that suggests the next step in your career. About the dataset. About 50'000 Users with following informations: Skills (tags, string value) every job they did (...

what does frame mean? what is its difference in comparison with training epoch in DQN? http://arxiv.org/abs/1810.07286 Also, I have seen in DQN nature paper it has written they trained on 1 ...

This was the follow up question of Prediction on timeseries data using tensorflow. I have an input and output of below format. ...

As you can see in the title, I'm trying to program an AI in Java that would help someone optimize his storage. The user has to enter the size of his storage space (a box, a room, a warehouse etc...) ...

Can we combining CSV format and Parquet format ?If yes then in which scenario we covert the csv format to parquet format ?

The problem I'm trying to solve is the following: the data is Movielens with N_users=6041 and N_movies=3953, ~1 million ratings. For each user, a vector of size N_movies is defined, and the values ...

I am working on Decision Making in Self driving cars and I am wondering how I can use Neural networks (is there any type) ? that can repleace or mimic the bayesian networks or Decision Tree for ...

i have a data like this my desire format is this how can i do this?

I have to implement the k means algorithm from scratch using python on this data set that has 29 columns and 476 rows. With all these different data points I am confused on how I can calculate the ...

I tried to reproduce elastic net simulation results table on the page 313 of elastic net paper. The authors stated that they simulated 50 datasets consisting of 20/20/200 observations for train/...

We're planning to conduct a data mining study which will be using ID3, C4.5 and CART algorithms. Naturally, this would then generate three different decision trees. Would it be possible to create a ...

Kernel tricks seem to be quite power in classification (SVM) and dimensionality reduction (kernel PCA), but are there some cases where kernel tricks fail and what do people typically do in these cases?...

I have a set of instruction manuals that follow a certain guideline and presents instructions about a specific product. What would be the best approach to use in order to create a machine learning ...

I have multiple columns consisting of categorical variables which are in the form of integer values ranging from 0-4. But, all columns belong to the same category. I tried using OneHotEncoder from ...

When trying to identify the variance explained by the first two columns of my dataset using the explained_variance_ratio_ attribute of ...

In neural networks, we sometimes convert the input to z-scores. However, z-scores contain both negative and positive values, if we use such numbers as input, it seems that in some cases the neural ...

I am studying normalized graph cuts, and one of the way to define weight matrix is using heat kernel, which is $W_{ij} = e^{\frac{−∥x_i − x_j∥^2}{σ^2}}$. I want to ask: what's the meaning of sigma? ...

I recently came across using elastic nets for feature selection which brings in regularization to temper the sparsity properties of L1 regressions. I would like to learn how to use elastic nets for ...

I have a dataset of about 1 million tweets corresponding to about 30,000 user accounts, labelled with binary data (classifying the tweet as written by a bot). With that amount of data, I could use a ...

How can we draw ground truth boundary box with predicted boundary box at the time of inference by making use of tensorflow object detection api?

I'm planning to work on feature selection and am looking for some useful documentations, tutorials, books or anything about this topic and especially about feature weighting. Thank you for your help!

Why does the complexity of KNearest Neighbors increase with lower value of k? And when does the plot for k-nearest neighbor have smooth or complex decision boundary? Please explain in detail. And ...

I had made a neural network library a few months ago, and I wasn't too familiar with matrices. So, instead of performing matrix dot products (between weights and inputs, then adding a bias matrix), I ...

So it is a well known thing that it is a good idea to scale features/training samples in the training set, so that the values do not differ too much in the absolute sense. For example we want to train ...

I work at a private cloud company and would like to write some forecasting or business analytics that would be helpful. For example I would like to write something in Python that would forecast when ...

I am working on data-set with more than 100,000 records. This is how the data looks like: ...

I am a newbie in Machine learning and I am writing a small code for Perceptron. This is the first time I am writing code in Python. I have four training data points (X). As they are used for ...

I just fell on the interesting skope-rules package, which estimates decision rules from bagged trees. The best rules are then deduplicated, but the deduplication method is not detailed. Can someone ...