All Questions
Tagged with beginner machine-learning
42 questions
0
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0
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25
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Help with Memory Usage Estimation of Java Threads
I am a data science beginner and I am looking for some directions regarding my problem. I hope it is ok if I ask my question here.
My data set consists of the overall memory usage of a JVM every 30s ...
0
votes
2
answers
885
views
Email Parsing using Machine Learning
I am new to machine learning. I have a project in which i need to extract some data from email by parsing email using machine learning and would really appreciate if you could guide me with that. I ...
0
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1
answer
78
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Beginner clustering project, what are the input features and how do I analyze the data?
I am a beginner to data science. I have this dataset on natural disaster events in Afghanistan from 2016 - 2017. Columns:
REGION (ex. North, North West, etc)
PROVINCE_NAME (kind of like US 50 states)
...
0
votes
1
answer
27
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Seeking guidance regarding course selection
I have completed Prof. Andrew Ng's Machine Learning Specialization a week ago and now exploring different competitions (Titanic, House Price Prediction, and from the Playground Series). I want to ...
0
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0
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30
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Emulate simple logical rules with ML
I have the following question. I have created a sample dataset based on a some simple boolean rules. The data describes the shipping cost for a store.
The features are :
order value (range between 1-...
2
votes
1
answer
240
views
Various models giving 99% accuracy for KDDcup 99 dataset for Intrusion Detection, is there some sort of data leak I am missing?
Student who is quite new to all this here. I am currently working with the KDDcup 99 data for intrusion detection using various ML models (and ANN). My problem is that I am getting 99% often for ...
0
votes
1
answer
39
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Model with 2 datasets: combine time series data and statistics
I am new to data science modelling so apologies if using wrong terminology in advance.
I have a standard time series dataset of historical prices which is used to train/test a simple Random Forest ...
1
vote
2
answers
304
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How do I get started with machine learning and image recognition?
I'd like to get started with machine learning, specifically image recognition. I know that Python is the most popular language for ML since it's easy to pick up and there's tons of libraries for it. I ...
0
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1
answer
56
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Which Machine Learning methods would be good for a beginner-level Data Science project for described dataset? [closed]
I want to do my first beginner-level project regarding Data Science. I picked my data set which is described below. I want to make a Python script which will make some predictions on our data set ...
1
vote
2
answers
106
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Finding Criminal Name in news?
We have news URLS, which we want to classify into crimes or non-crimes and further identify criminals by using NERs.
For creating a model that identifies criminals, we tried SPacy which gave all the ...
0
votes
1
answer
828
views
'Feature' definition
Precisely, what is a feature? Is it an attribute/property name or its value?
E.g. would features examples be "name", "adress", ...?
Or "Dorothy", "123 YellowBrick Road"??
If it is a property name, ...
6
votes
1
answer
299
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Mapping of categorical features into binary indicator features
I am currently reading an introductory machine learning book by Daumé (ch. 03, p. 30) and when discussing the mapping of categorical features with "n" possible values into "n" binary indicator ...
0
votes
1
answer
49
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My network optimises for mean_squared_error, but the predictions are useless
After going through the tutorials of tensorflow I decided to do my own project. For this I did the following:
I have scraped movie reviews from a polish site called filmweb. I got a dataset o 5400 ...
0
votes
2
answers
2k
views
How to handle continuous values and a binary target?
This is going to be a very beginner's question.
I have a datset of continues features like LoanAmount, LoanDuration(multiclass?), ... ClientIncome, ClientFreeSources, etc. and a binary target whether ...
1
vote
0
answers
45
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What are the introductory mathematics courses that are most pertinent to machine learning? [closed]
To provide more context to this question, I have found the following list of courses in order to learn calculus:
Course | 18.01.1x | edX
Course | 18.01.2x | edX
Course | 18.01.3x | edX
I also have ...
3
votes
2
answers
922
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Can a single-layer ANN get XOR wrong?
I'm still pretty new to artificial neural networks. While I've played around with TensorFlow, I'm now trying to get the basics straight. Since I've stumbled upon a course which explains how to ...
0
votes
2
answers
89
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Guidance to create a machine learning alg to find multiple overlapping date over multiple period
i have a dataset of work period from a lot of people during multiple years and i would like to find the overlapping date between these periods, the data would look something like this:
...
11
votes
3
answers
9k
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What is a policy in machine learning?
While I was reading the paper "Grounded Action Transformation for Robot Learning in Simulation", I came across the term "policy". Could someone explain to me what that actually is (...
1
vote
0
answers
165
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MNIST digits... And what technique to find ZIP code on the envelope?
What techniques are currently available for e.g. locating the ZIP code on the envelope and cutting it to single digits prior to feeding them to digit recognition algorithm (trained on MNIST dataset)?
...
9
votes
2
answers
38k
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Is there a C library for machine learning algorithms? [closed]
Are there any machine learning libraries for C.
Specifically interested in unsupervised learning.
9
votes
3
answers
769
views
What knowledge do I need in order to write a simple AI program to play a game?
I'm a B.Sc graduate. One of my courses was 'Introduction to Machine Learning', and I always wanted to do a personal project in this subject.
I recently heard about different AI training to play games ...
1
vote
1
answer
291
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What is the best strategy to use on data with many classification labels?
In general, what sort of supervised algorithms and techniques should I use on data that has the following charactersitcs:
2 potential classification labels?
3-5 potential classification labels?
6-10 ...
4
votes
2
answers
7k
views
How to further improve the kaggle titanic submission accuracy?
I am working on the Titanic dataset. So far my submission has 0.78 score using soft majority voting with logistic regression and random forest. As for the features, I used Pclass, Age, SibSp, Parch, ...
2
votes
2
answers
12k
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What is the difference between the training and testdata set?
What is the difference between the test and training data sets? As per blogs and papers I studied, what I understood is that we will have 100% data set that is divided into 2 sets (test data set is 30%...
0
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1
answer
135
views
Understanding Bernoulli Trials, Bayesian Setting
I am required to complete a project on ML applications. I guess there is a lot of statistics in ML, not helpful for a non-maths background.
I am getting too bogged down by notations. There are too ...
8
votes
5
answers
3k
views
What does it mean when people say a cost function is something you want to minimize?
I am having a lot of trouble understanding this. Does it mean you should not use the cost function very often?
12
votes
3
answers
13k
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Which supervised learning algorithms are available for matching?
I'm working on a non-profit where we try to help potential university applicants by matching them with alumni that want to share their experience/wisdom and, at the moment, it is happening manually. ...
62
votes
5
answers
75k
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RNN vs CNN at a high level
I've been thinking about the Recurrent Neural Networks (RNN) and their varieties and Convolutional Neural Networks (CNN) and their varieties.
Would these two points be fair to say:
Use CNNs to break ...
2
votes
1
answer
131
views
How would I map categories between two similar but different sets of categories
Having multiple sets of categories from different listings sites (e.g. Yelp, yellowpages.com, Google My Business...). I want to figure out what category X on one site is on another site.
We have ...
1
vote
1
answer
64
views
Please suggest some simple functions that I can use to test my neural network implementation
I am a beginner and I have developed code in Octave to train a neural network (as part of Andrew Ng's coursera course).
Now I would like to generate some datasets in Excel for simple mathematical ...
2
votes
2
answers
233
views
Applying neural network for simple x^2 function for demonstration purpose [closed]
I have tried to train a neural network for a simple x^2 function
I developed training data in excel. First column (X) is =RANDBETWEEN(-5,5) i.e random integer between -5 and 5
Second column ...
4
votes
1
answer
186
views
Predicting most likely application to be opened
Background
I'm currently preparing for a paper in which I will discuss the ability to predict the most likely application to be opened by the user at the given time.
The application will collect ...
1
vote
2
answers
636
views
How can one can aim for a career in machine learning? [closed]
I'm interested in various machine learning methods and wonder how can I aim for a career in the field.
What are most basic skills to have?
I mean the matters strictly connected to the machine ...
1
vote
2
answers
163
views
Neural network, Support Vector Machine or something else to classify into 7 groups
I'm an experienced developer but I'm only starting to discover data science.
I have a data set consisting of 62 parameters for each row and each row in that data set belongs to one of 7 groups (...
4
votes
1
answer
305
views
What are the best sites to display your data science skills & projects? [closed]
What are the best sites to display your data science skills & projects? Obviously there's kaggle, but any others that recruiters look at?
3
votes
1
answer
1k
views
Correctly interpreting Cosine Angular Distance Similarity & Euclidean Distance Similarity
As an example, let's say I have a very simple data set. I am given a csv with three columns, user_id, book_id, rating. The rating can be any number 0-5, where 0 means the user has NOT rated the book.
...
-1
votes
1
answer
146
views
Beggining in machine learning [closed]
I just want to know which books, courses,videos, links,etc do you recommend me to start in machine learning, neural networks, languajes most commonly used. I want to start from zero, just in the ...
0
votes
1
answer
154
views
Ideas for next step of Machine Learning [closed]
I have completely followed the machine learning course on coursera Machine Learning by professor Andrew Ng
Now I want to put my knowledge to action. Some ideas that I have include :
-Voice ...
6
votes
3
answers
336
views
Distance calculation/vector range significance
I'm trying to implement item based collaborative filtering. Do any distance calculations allow for weighting of certain ranges of values within each vector?
For example, I would like to be able to ...
13
votes
3
answers
7k
views
Unstructured text classification
I'm going to classify unstructured text documents, namely web sites of unknown structure. The number of classes to which I am classifying is limited (at this point, I believe there is no more than ...
11
votes
4
answers
2k
views
What initial steps should I use to make sense of large data sets, and what tools should I use?
Caveat: I am a complete beginner when it comes to machine learning, but eager to learn.
I have a large dataset and I'm trying to find pattern in it. There may / may not be correlation across the data,...
10
votes
4
answers
2k
views
Online machine learning tutorial
Does anyone know some good tutorials on online machine learning technics?
I.e. how it can be used in real-time environments, what are key differences compared to normal machine learning methods etc.
...