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H: Is Data Science just a trend or is a long term concept?
I see a lot of courses in Data Science emerging in the last 2 years. Even big universities like Stanford and Columbia offers MS specifically in Data Science. But as long as I see, it looks like data science is just a mix of computer science and statistics tech... |
H: What is the most efficient data indexing technique
As we all know, there are some data indexing techniques, using by well-known indexing apps, like Lucene (for java) or Lucene.NET (for .NET), MurMurHash, B+Tree etc. For a No-Sql / Object Oriented Database (which I try to write/play a little around with C#), which t... |
H: What is generative and discriminative model? How are they used in Natural Language Processing?
This question asks about generative vs. discriminative algorithm, but can someone give an example of the difference between these forms when applied to Natural Language Processing? How are generative and discriminative mo... |
H: How to specify important attributes?
Assume a set of loosely structured data (e.g. Web tables/Linked Open Data), composed of many data sources. There is no common schema followed by the data and each source can use synonym attributes to describe the values (e.g. "nationality" vs "bornIn").
My goal is to find some ... |
H: Google prediction API: What training/prediction methods Google Prediction API employs?
The details of the Google Prediction API are on this page, but I am not able to find any details about the prediction algorithms running behind the API.
So far I have gathered that they let you provide your preprocessing steps i... |
H: Using SVM as a binary classifier, is the label for a data point chosen by consensus?
I'm learning Support Vector Machines, and I'm unable to understand how a class label is chosen for a data point in a binary classifier. Is it chosen by consensus with respect to the classification in each dimension of the separatin... |
H: How to animate growth of a social network?
I am seeking for a library/tool to visualize how social network changes when new nodes/edges are added to it.
One of the existing solutions is SoNIA: Social Network Image Animator. It let's you make movies like this one.
SoNIA's documentation says that it's broken at the ... |
H: Multi layer back propagation Neural network for classification
Can someone explain me, how to classify a data like MNIST with MLBP-Neural network if I make more than one output (e.g 8), I mean if I just use one output I can easily classify the data, but if I use more than one, which output should I choose ?
AI: Sup... |
H: Algorithm for generating classification rules
So we have potential for a machine learning application that fits fairly neatly into the traditional problem domain solved by classifiers, i.e., we have a set of attributes describing an item and a "bucket" that they end up in. However, rather than create models of prob... |
H: What does the alpha and beta hyperparameters contribute to in Latent Dirichlet allocation?
LDA has two hyperparameters, tuning them changes the induced topics.
What does the alpha and beta hyperparameters contribute to LDA?
How does the topic change if one or the other hyperparameters increase or decrease?
Why a... |
H: Instances vs. cores when using EC2
Working on what could often be called "medium data" projects, I've been able to parallelize my code (mostly for modeling and prediction in Python) on a single system across anywhere from 4 to 32 cores. Now I'm looking at scaling up to clusters on EC2 (probably with StarCluster/IPy... |
H: How should one deal with implicit data in recommendation
A recommendation system keeps a log of what recommendations have been made to a particular user and whether that user accepts the recommendation. It's like
user_id item_id result
1 4 1
1 7 -1
5 19 1
5 80 1
where ... |
H: Human activity recognition using smartphone data set problem
I'm new to this community and hopefully my question will well fit in here.
As part of my undergraduate data analytics course I have choose to do the project on human activity recognition using smartphone data sets. As far as I'm concern this topic relates... |
H: Are there any python based data visualization toolkits?
Data visualization is an important sub-field of data science and python programmers need to have available toolkits for them.
Is there a Python API to Tableau?
Are there any Python based data visualization toolkits?
AI: There is a Tablaeu API and you can use P... |
H: Cascaded Error in Apache Storm
Going through the presentation and material of Summingbird by Twitter, one of the reasons that is mentioned for using Storm and Hadoop clusters together in Summingbird is that processing through Storm results in cascading of error. In order to avoid this cascading of error and accumul... |
H: Do I need to learn Hadoop to be a Data Scientist?
An aspiring data scientist here. I don't know anything about Hadoop, but as I have been reading about Data Science and Big Data, I see a lot of talk about Hadoop. Is it absolutely necessary to learn Hadoop to be a Data Scientist?
AI: Different people use different t... |
H: What are some easy to learn machine-learning applications?
Being new to machine-learning in general, I'd like to start playing around and see what the possibilities are.
I'm curious as to what applications you might recommend that would offer the fastest time from installation to producing a meaningful result.
Also... |
H: Can machine learning algorithms predict sports scores or plays?
I have a variety of NFL datasets that I think might make a good side-project, but I haven't done anything with them just yet.
Coming to this site made me think of machine learning algorithms and I wondering how good they might be at either predicting t... |
H: How to get an aggregate confusion matrix from n different classifications
I want to test the accuracy of a methodology. I ran it ~400 times, and I got a different classification for each run. I also have the ground truth, i.e., the real classification to test against.
For each classification I computed a confusion ... |
H: Qualifications for PhD Programs
Yann LeCun mentioned in his AMA that he considers having a PhD very important in order to get a job at a top company.
I have a masters in statistics and my undergrad was in economics and applied math, but I am now looking into ML PhD programs. Most programs say there are no absolutel... |
H: What are the advantages of HDF compared to alternative formats?
What are the advantages of HDF compared to alternative formats? What are the main data science tasks where HDF is really suitable and useful?
AI: Perhaps a good way to paraphrase the question is, what are the advantages compared to alternative formats?... |
H: Does Amazon RedShift replace Hadoop for ~1XTB data?
There is plenty of hype surrounding Hadoop and its eco-system. However, in practice, where many data sets are in the terabyte range, is it not more reasonable to use Amazon RedShift for querying large data sets, rather than spending time and effort building a Had... |
H: What do you think of Data Science certifications?
I've now seen two data science certification programs - the John Hopkins one available at Coursera and the Cloudera one.
I'm sure there are others out there.
The John Hopkins set of classes is focused on R as a toolset, but covers a range of topics:
R Programming
c... |
H: Data Science as a Social Scientist?
as I am very interested in programming and statistics, Data Science seems like a great career path to me - I like both fields and would like to combine them. Unfortunately, I have studied political science with a non-statistical sounding Master. I focused on statistics in this Ma... |
H: Example tasks of a data scientist and the necessary knowledge
Could you give some examples of typical tasks that a data scientist does in his daily job, and the must-know minimum for each of the levels (like junior, senior, etc. if there are any)? If possible, something like a Programmer competency matrix.
AI: Beco... |
H: Data Science oriented dataset/research question for Statistics MSc thesis
I'd like to explore 'data science'. The term seems a little vague to me, but I expect it to require:
machine learning (rather than traditional statistics);
a large enough dataset that you have to run analyses on clusters.
What are some good... |
H: How to process natural language queries?
I'm curious about natural language querying. Stanford has what looks to be a strong set of software for processing natural language. I've also seen the Apache OpenNLP library, and the General Architecture for Text Engineering.
There are an incredible amount of uses for nat... |
H: Filtering spam from retrieved data
I once heard that filtering spam by using blacklists is not a good approach, since some user searching for entries in your dataset may be looking for particular information from the sources blocked. Also it'd become a burden to continuously validate the current state of each spamm... |
H: Amazon S3 vs Google Drive
The majority of people use S3. However, Google Drive seems a promising alternative solution for storing large amounts of data. Are there specific reasons why one is better than the other?
AI: Personally, we use S3 on top of GCE and really love it. Depending on how much data you're dealing ... |
H: Choose binary classification algorithm
I have a binary classification problem:
Approximately 1000 samples in training set
10 attributes, including binary, numeric and categorical
Which algorithm is the best choice for this type of problem?
By default I'm going to start with SVM (preliminary having nominal attribu... |
H: What to consider before learning a new language for data analysis
I'm currently in the very early stages of preparing a new research-project (still at the funding-application stage), and expect that data-analysis and especially visualisation tools will play a role in this project.
In view of this I face the followi... |
H: Choosing a learning rate
I'm currently working on implementing Stochastic Gradient Descent, SGD, for neural nets using back-propagation, and while I understand its purpose I have some questions about how to choose values for the learning rate.
Is the learning rate related to the shape of the error gradient, as it ... |
H: Best languages for scientific computing
It seems as though most languages have some number of scientific computing libraries available.
Python has Scipy
Rust has SciRust
C++ has several including ViennaCL and Armadillo
Java has Java Numerics and Colt as well as several other
Not to mention languages like R and J... |
H: Does anyone use Julia programming language?
Is anyone using Julia (http://julialang.org/) for professional jobs?
Or using it instead of R, Matlab, or Mathematica?
Is it a good language?
If you have to predict next 5-10 years: Do you think it grow up enough to became such a standard in data science like R or simila... |
H: How to grow a list of related words based on initial keywords?
I recently saw a cool feature that was once available in Google Sheets: you start by writing a few related keywords in consecutive cells, say: "blue", "green", "yellow", and it automatically generates similar keywords (in this case, other colors). See m... |
H: What are good sources to learn about Bootstrap?
I think that Bootstrap can be useful in my work, where we have a lot a variables that we don't know the distribution of it. So, simulations could help.
What are good sources to learn about Bootstrap/other useful simulation methods?
AI: A classic book is by B. Efron wh... |
H: How can I transform names in a confidential data set to make it anonymous, but preserve some of the characteristics of the names?
Motivation
I work with datasets that contain personally identifiable information (PII) and sometimes need to share part of a dataset with third parties, in a way that doesn't expose PII ... |
H: What are the use cases for Apache Spark vs Hadoop
With Hadoop 2.0 and YARN Hadoop is supposedly no longer tied only map-reduce solutions. With that advancement, what are the use cases for Apache Spark vs Hadoop considering both sit atop of HDFS? I've read through the introduction documentation for Spark, but I'm cu... |
H: How to speedup message passing between computing nodes
I'm developing a distributed application, and as it's been designed, there'll be a great load of communication during the processing. Since the communication is already as much spread along the entire process as possible, I'm wondering if there any standard sol... |
H: K-means vs. online K-means
K-means is a well known algorithm for clustering, but there is also an online variation of such algorithm (online K-means). What are the pros and cons of these approaches, and when should each be preferred?
AI: Online k-means (more commonly known as sequential k-means) and traditional k-m... |
H: Suggest text classifier training datasets
Which freely available datasets can I use to train a text classifier?
We are trying to enhance our users engagement by recommending the most related content for him, so we thought If we classified our content based on a predefined bag of words we can recommend to him engagi... |
H: Network structure: k-cliques vs. p-cliques
In network structure, what is the difference between k-cliques and p-cliques, can anyone give a brief explaination with examples? Thanks in advanced!
============================
EDIT:
I found an online ppt while I am googling, please take a look on p.37 and p.39, can you ... |
H: Is logistic regression actually a regression algorithm?
The usual definition of regression (as far as I am aware) is predicting a continuous output variable from a given set of input variables.
Logistic regression is a binary classification algorithm, so it produces a categorical output.
Is it really a regression ... |
H: Is GLM a statistical or machine learning model?
I thought that generalized linear model (GLM) would be considered a statistical model, but a friend told me that some papers classify it as a machine learning technique. Which one is true (or more precise)? Any explanation would be appreciated.
AI: A GLM is absolutely... |
H: What statistical model should I use to analyze the likelihood that a single event influenced longitudinal data
I am trying to find a formula, method, or model to use to analyze the likelihood that a specific event influenced some longitudinal data. I am having difficultly figuring out what to search for on Google.
... |
H: Cross-validation: K-fold vs Repeated random sub-sampling
I wonder which type of model cross-validation to choose for classification problem: K-fold or random sub-sampling (bootstrap sampling)?
My best guess is to use 2/3 of the data set (which is ~1000 items) for training and 1/3 for validation.
In this case K-fold... |
H: How to select algorithms for ensemble methods?
There is a general recommendation that algorithms in ensemble learning combinations should be different in nature. Is there a classification table, a scale or some rules that allow to evaluate how far away are the algorithms from each other? What are the best combinati... |
H: Binary classification model for unbalanced data
I have a dataset with the following specifications:
Training dataset with 193,176 samples with 2,821 positives
Test Dataset with 82,887 samples with 673 positives
There are 10 features.
I want to perform a binary classification (0 or 1). The issue I am facing is tha... |
H: Score matrix string similarity
I have a load of documents, which have a load of key value pairs in them. The key might not be unique so there might be multiple keys of the same type with different values.
I want to compare the similarity of the keys between 2 documents. More specifically the string similarity of th... |
H: Detecting cats visually by means of anomaly detection
I have a hobby project which I am contemplating committing to as a way of increasing my so far limited experience of machine learning. I have taken and completed the Coursera MOOC on the topic. My question is with regards to the feasibility of the project.
The t... |
H: Standardize numbers for ranking ratios
I'm trying to rank some percentages. I have numerators and denominators for each ratio. To give a concrete example, consider ratio as total graduates / total students in a school.
But the issue is that total students vary over a long range (1000-20000). Smaller schools seem to... |
H: How to use neural networks with large and variable number of inputs?
I'm new to machine learning, but I have an interesting problem. I have a large sample of people and visited sites. Some people have indicated gender, age, and other parameters. Now I want to restore these parameters to each user.
Which way do I lo... |
H: Any differences in regularisation in MLP between batch and individual updates?
I have just learned about regularisation as an approach to control over-fitting, and I would like to incorporate the idea into a simple implementation of backpropagation and Multilayer perceptron (MLP) that I put together.
Currently to a... |
H: Difference Between Hadoop Mapreduce(Java) and RHadoop mapreduce
I understand Hadoop MapReduce and its features but I am confused about R MapReduce.
One difference I have read is that R utilizes maximum RAM. So do perform parallel processing integrated R with Hadoop.
My doubt is:
R can do all stats, math and data s... |
H: Do you need a virtual machine for data science?
I am brand new to the field of data science, want to break into it, and there are so many tools out there. These VMs have a lot of software on them, but I haven't been able to find any side-by-side comparison.
Here's a start from my research, but if someone could t... |
H: Handling a regularly increasing feature set
I'm working on a fraud detection system. In this field, new frauds appear regularly, so that new features have to be added to the model on ongoing basis.
I wonder what is the best way to handle it (from the development process perspective)? Just adding a new feature into... |
H: Large Scale Personalization - Per User vs Global Models
I'm currently working on a project that would benefit from personalized predictions. Given an input document, a set of output documents, and a history of user behavior, I'd like to predict which of the output documents are clicked.
In short, I'm wondering w... |
H: Create most "average" cosine similarity observation
For a recommendation system I'm using cosine similarity to compute similarities between items. However, for items with small amounts of data I'd like to bin them under a general "average" category (in the general not mathematical sense). To accomplish this I'm cur... |
H: Which non-training classification methods are available?
I am trying to find which classification methods, that do not use a training phase, are available.
The scenario is gene expression based classification, in which you have a matrix of gene expression of m genes (features) and n samples (observations).
A signa... |
H: How are selected the features for a decision tree in CART?
Suppose I want to use CART as classification tree (I want a categorical response). I have the training set, and I split it using observation labels.
Now, to build the decision tree (classification tree) how are selected the features to decide which label ap... |
H: Dealing with events that have not yet happened when building a model
I was building a model that predicts user churn for a website, where I have data on all users, both past and present.
I can build a model that only uses those users that have left, but then I'm leaving 2/3 of the total user population unused.
Is t... |
H: Best python library for neural networks
I'm using Neural Networks to solve different Machine learning problems. I'm using Python and pybrain but this library is almost discontinued. Are there other good alternatives in Python?
AI: UPDATE: the landscape has changed quite a bit since I answered this question in July ... |
H: Clustering pair-wise distance dataset
I have generated a dataset of pairwise distances as follows:
id_1 id_2 dist_12
id_2 id_3 dist_23
I want to cluster this data so as to identify the pattern. I have been looking at Spectral clustering and DBSCAN, but I haven't been able to come to a conclusion and have been ambi... |
H: Are Support Vector Machines still considered "state of the art" in their niche?
This question is in response to a comment I saw on another question.
The comment was regarding the Machine Learning course syllabus on Coursera, and along the lines of "SVMs are not used so much nowadays".
I have only just finished the ... |
H: Running huge datasets with R
I'm trying to run some analysis with some big datasets (eg 400k rows vs. 400 columns) with R (e.g. using neural networks and recommendation systems).
But, it's taking too long to process the data (with huge matrices, e.g. 400k rows vs. 400k columns).
What are some free/cheap ways to imp... |
H: Cloudera QuickStart VM Error
I have installed cloudera CDH5 Quick start VM on VM player. When I login through HUE in the first page I am the following error
“Potential misconfiguration detected. Fix and restart Hue.”
How to solve this issue.
AI: Go into the other link from home - to the cloudera manager.
From there... |
H: How to choose the features for a neural network?
I know that there is no a clear answer for this question, but let's suppose that I have a huge neural network, with a lot of data and I want to add a new feature in input. The "best" way would be to test the network with the new feature and see the results, but is th... |
H: Commercial Text Summarization Tools
I'm looking for commercial text summarization tools (APIs, Libraries,...) which are able to perform any of the following tasks:
Extractive Multi-Document Summarization (Generic or query-based)
Extractive Single-Document Summarization (Generic or query-based)
Generative Single-Do... |
H: How to define a custom resampling methodology
I'm using an experimental design to test the robustness of different classification methods, and now I'm searching for the correct definition of such design.
I'm creating different subsets of the full dataset by cutting away some samples. Each subset is created independ... |
H: How to fight underfitting in a deep neural net
When I started with artificial neural networks (NN) I thought I'd have to fight overfitting as the main problem. But in practice I can't even get my NN to pass the 20% error rate barrier. I can't even beat my score on random forest!
I'm seeking some very general or not... |
H: Skewed multi-class data
I have a dataset which contains ~100,000 samples of 50 classes. I have been using SVM with an RBF kernel to train and predict new data. The problem though is the dataset is skewed towards different classes.
For example, Class 1 - 30 (~3% each), Class 31 - 45 (~0.6% each), Class 46 - 50 (~0.... |
H: Starting my career as Data Scientist, is Software Engineering experience required?
I am an MSc student at the University of Edinburgh, specialized in machine learning and natural language processing. I had some practical courses focused on data mining, and others dealing with machine learning, bayesian statistics a... |
H: Tools and protocol for reproducible data science using Python
I am working on a data science project using Python.
The project has several stages.
Each stage comprises of taking a data set, using Python scripts, auxiliary data, configuration and parameters, and creating another data set.
I store the code in git, so... |
H: Clustering geo location coordinates (lat,long pairs)
What is the right approach and clustering algorithm for geolocation clustering?
I'm using the following code to cluster geolocation coordinates:
import numpy as np
import matplotlib.pyplot as plt
from scipy.cluster.vq import kmeans2, whiten
coordinates= np.array... |
H: t-SNE Python implementation: Kullback-Leibler divergence
t-SNE, as in [1], works by progressively reducing the Kullback-Leibler (KL) divergence, until a certain condition is met.
The creators of t-SNE suggests to use KL divergence as a performance criterion for the visualizations:
you can compare the Kullback-Leib... |
H: How to increase accuracy of classifiers?
I am using OpenCV letter_recog.cpp example to experiment on random trees and other classifiers. This example has implementations of six classifiers - random trees, boosting, MLP, kNN, naive Bayes and SVM. UCI letter recognition dataset with 20000 instances and 16 features is... |
H: Cosine similarity versus dot product as distance metrics
It looks like the cosine similarity of two features is just their dot product scaled by the product of their magnitudes. When does cosine similarity make a better distance metric than the dot product? I.e. do the dot product and cosine similarity have differe... |
H: Is Python suitable for big data
I read in this post Is the R language suitable for Big Data that big data constitutes 5TB, and while it does a good job of providing information about the feasibility of working with this type of data in R it provides very little information about Python. I was wondering if Python ca... |
H: Getting GitHub repository information by different criteria
New to the Data Science forum, and first poster here!
This may be kind of a specific question (hopefully not too much so), but one I'd imagine others might be interested in.
I'm looking for a way to basically query GitHub with something like this:
Give me ... |
H: Uses of NoSQL database in data science
How can NoSQL databases like MongoDB be used for data analysis? What are the features in them that can make data analysis faster and powerful?
AI: To be perfectly honest, most NoSQL databases are not very well suited to applications in big data. For the vast majority of all bi... |
H: What's the difference between data products and intelligent systems?
Basically, both are software systems that are based on data and algorithms.
AI: This is a very vague question. However, I will try to make sense of it. Considering rules of logic as well as your statement that both entities are "software systems t... |
H: Advantages of AUC vs standard accuracy
I was starting to look into area under curve(AUC) and am a little confused about its usefulness. When first explained to me, AUC seemed to be a great measure of performance but in my research I've found that some claim its advantage is mostly marginal in that it is best for ca... |
H: Statistics + Computer Science = Data Science?
i want to become a data scientist. I studied applied statistics (actuarial science), so i have a great statistical background (regression, stochastic process, time series, just for mention a few). But now, I am going to do a master degree in Computer Science focus in I... |
H: Should I go for a 'balanced' dataset or a 'representative' dataset?
My 'machine learning' task is of separating benign Internet traffic from malicious traffic. In the real world scenario, most (say 90% or more) of Internet traffic is benign. Thus I felt that I should choose a similar data setup for training my mode... |
H: Visualizing a graph with a million vertices
What is the best tool to use to visualize (draw the vertices and edges) a graph with 1000000 vertices? There are about 50000 edges in the graph. And I can compute the location of individual vertices and edges.
I am thinking about writing a program to generate a svg. Any o... |
H: is this a good case for NOSQL?
I'm currently facing a project that I could solve with a relational database in a relatively painful way. Having heard so much about NOSQL, I'm wondering if there is not a more appropriate way of tackling it:
Suppose we are tracking a group of animals in a forest (n ~ 500) and would l... |
H: How can we effectively measure the impact of our data decisions
Apologies if this is very broad question, what I would like to know is how effective is A/B testing (or other methods) of effectively measuring the effects of a design decision.
For instance we can analyse user interactions or click results, purchase/ ... |
H: Pig script code error?
While running the below pig script I am getting an error in line4:
If it is GROUP then I am getting error.
If I change from 'GROUP' TO 'group' in line4, then the script is running.
What is the difference between group and GROUP?
LINES = LOAD '/user/cloudera/datapeople.csv' USING PigStorage('... |
H: Data Science Project Ideas
I don't know if this is a right place to ask this question, but a community dedicated to Data Science should be the most appropriate place in my opinion.
I have just started with Data Science and Machine learning. I am looking for long term project ideas which I can work on for like 8 mon... |
H: Unsupervised feature learning for NER
I have implemented NER system with the use of CRF algorithm with my handcrafted features that gave quite good results. The thing is that I used lots of different features including POS tags and lemmas.
Now I want to make the same NER for different language. The problem here is ... |
H: Neural Network parse string data?
So, I'm just starting to learn how a neural network can operate to recognize patterns and categorize inputs, and I've seen how an artificial neural network can parse image data and categorize the images (demo with convnetjs), and the key there is to downsample the image and each pi... |
H: R error using package tm (text-mining)
I am attempting to use the tm package to convert a vector of text strings to a corpus element.
My code looks something like this
Corpus(d1$Yes)
where d1$Yes is a factor with 124 levels, each containing a text string.
For example, d1$Yes[246] = "So we can get the boat out!"
I'... |
H: How to build parse tree with BNF
I need to build parse tree for some source code (on Python or any program language that describe by CFG).
So, I have source code on some programming language and BNF this language.
Can anybody give some advice how can I build parse tree in this case?
Preferably, with tools for Pytho... |
H: What is the use of user data collection besides serving ads?
Well this looks like the most suited place for this question.
Every website collect data of the user, some just for usability and personalization, but the majority like social networks track every move on the web, some free apps on your phone scan text... |
H: Predicting next medical condition from past conditions in claims data
I am currently working with a large set of health insurance claims data that includes some laboratory and pharmacy claims. The most consistent information in the data set, however, is made up of diagnosis (ICD-9CM) and procedure codes (CPT, HCSPC... |
H: Hadoop Resource Manager Won't Start
I am a relatively new user to Hadoop (using version 2.4.1). I installed hadoop on my first node without a hitch, but I can't seem to get the Resource Manager to start on my second node.
I cleared up some "shared library" problems by adding this to yarn-env.sh and hadoop-env.sh:
... |
H: 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 data into days only, so this is what I did:
traffic <- read.csv("path.csv",header=TRUE)
traff... |
H: Modelling on one Population and Evaluating on another Population
I am currently on a project that will build a model (train and test) on Client-side Web data, but evaluate this model on Sever-side Web data. Unfortunately building the model on Server-side data is not an option, nor is it an option to evaluate this ... |
H: Facebook's Huge Database
I assume that each person on Facebook is represented as a node (of a Graph) in Facebook, and relationship/friendship between each person(node) is represented as an edge between the involved nodes.
Given that there are millions of people on Facebook, how is the Graph stored?
AI: Strange as i... |
H: When is there enough data for generalization?
Are there any general rules that one can use to infer what can be learned/generalized from a particular data set? Suppose the dataset was taken from a sample of people. Can these rules be stated as functions of the sample or total population?
I understand the above ma... |
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