Questions tagged [beginner]

For questions which concern getting started in Data Science or any of its related subdomains.

Filter by
Sorted by
Tagged with
0
votes
1answer
94 views

Should i pick this as a career? [closed]

I'm mainly interested in creative things, but also interested in the science behind viewership and marketing a piece of media. Think about having a stable career in data science, where do you think I ...
6
votes
3answers
296 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
2answers
8k views

Data science without knowledge of a specific topic, is it worth pursuing as a career? [closed]

I had a conversation with someone recently and mentioned my interest in data analysis and who I intended to learn the necessary skills and tools. They suggested to me that while it is great to learn ...
1
vote
2answers
149 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
4answers
512 views

Reference about social network data-mining

I am not in the data science field, but I would like to examine in depth this field and, particularly, I would like to start from the analysis of the social networks data. I am trying to find some ...
-1
votes
1answer
132 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 ...
3
votes
1answer
288 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?
2
votes
1answer
794 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
vote
1answer
178 views

Fittting histograms with combination of an unknown number of Gaussians

I have many data in the form of one dimensional histogram, to give an example consider the data at http://pastebin.com/embed_js.php?i=1mNRuEHZ I expect that these data are obtained from a pdf ...
3
votes
2answers
979 views

Cheat Sheet of UNIX commands for Data Science

I was looking for a cheat sheet of UNIX commands, which are specifically usable for data science. I mean an introduction to very basic commands (starting from cd, <...
0
votes
1answer
29 views

How does the test data gets collected?

I'm learning the linear regression now. I used R to build linear model upon a set of train model and try to predict() data based on the test data. My question: I understand how train data gets ...
8
votes
4answers
1k 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. ...
1
vote
1answer
30 views

Compute utility of a notification

I have no idea whether this is the right StackExchange flavor to post this question in, but here goes: I have an agent (an IRC bot that listens to an event stream) that I would like to add "...
0
votes
1answer
148 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 ...
4
votes
1answer
315 views

Route to picking up Deep learning [closed]

I would like to pick up on the topic of deep learning. Should I begin from the topic of AI before working my way into Deep learning?
2
votes
1answer
3k views

What is the best way to scale a numerical dataset [closed]

I have a dataset with differents attributes which don't have the same range on their values which is a problem when we need to compute distance beetween objects. After some research i found that i can ...
5
votes
3answers
860 views

Recommendation - item based vs user based [closed]

I have one clarification - First the definitions- User-based: Recommend items by finding similar users. This is often harder to scale because of the dynamic nature of users. Item-based: Calculate ...
10
votes
1answer
9k views

Do you have to normalize data when building decision trees using R?

So, our data set this week has 14 attributes and each column has very different values. One column has values below 1 while another column has values that go from three to four whole digits. We ...
2
votes
6answers
7k views

How much of a background in programming is necessary to become a data scientist? [closed]

I once knew some Java, but that was close to 10 years ago. Assuming I can learn a language to get into data analytics.... what language do you recommend?
0
votes
2answers
272 views

Data transposition code in R

I've been working in SAS for a few years but as my time as a student with a no-cost-to-me license comes to an end, I want to learn R. Is it possible to transpose a data set so that all the ...
1
vote
0answers
204 views

Hadoop/Pig Aggregate Data

I am working on a project with two data sets. A time vs. speed data set (let's call it traffic), and a time vs. weather data set (called weather). I am looking to find a correlation between these ...
1
vote
1answer
2k views

K-Means clustering for mixed numeric and categorical data implementation in C#

I am a research scholar in data mining. I'm interested in C# implementation of K-Means clustering algorithm for mixed numeric and categorical data.
8
votes
1answer
547 views

Some suggestion for career in data science or predictive modeling

I am looking to choose my career in the area of decision science or predictive modeling and I am aware that this is kind of opinion based but I would like to have some suggestion from experts that I ...
3
votes
1answer
4k views

R aggregate() with dates

I am working on a data set that has multiple traffic speed measurements per day. My data is from the city of chicago, and it is taken every minute for about six months. I wanted to consolidate this ...
3
votes
1answer
217 views

Avoid iterations while calculating average model accuracy

I am fitting a model in R. use createFolds method to create several k folds from the data set loop through the folds, repeating ...