Questions tagged [beginner]

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

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24 views

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 ...
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0answers
12 views

Should I use a numeric scale or like/dislike for a ratings and recommendation engine?

I've very new to data science and am not sure what terms to even search for, so please forgive any ignorance. Let's assume that I'm building a movie recommendation engine. A user will rate a subset ...
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0answers
42 views

How to deal with large datasets?

I have some experience with data science but I wanted some insight on how to deal with a very large dataset. I understand simply downloading it to your computer is not plausible so where do you even ...
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1answer
39 views

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 ...
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2answers
46 views

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 ...
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1answer
43 views

Inputting Data for Machine Learning in PyTorch

I have scoured the internet and documentation, but have not yet been able to find a simple explanation of how to load data and/or simply type data into pytorch. I am just learning this library, and I ...
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0answers
15 views

Piecewise-linear activation function definition doesn't correspond to graph found in textbook

This question is a duplicate of this question on StackOverflow, but it hasn't been answered in 2 years, which is why I'm re-posting it. If this isn't an appropriate way to go about this, please let me ...
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1answer
39 views

On Python is the `i` variable defined inherently? [closed]

I am new to this whole landscape, please need some hand holding at first, I can't find a beginner section. Can someone please tell me if i is defined inherently in ...
2
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1answer
36 views

How to define a neural model as linear or non linear

TL;DR: in what sense is the model of a neuron seen in the image above nonlinear? In chapter 1, section 1.3 MODELS OF A NEURON of Simon Haykin's Neural Networks book, the standard model of a single ...
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1answer
31 views

What is the difference between the value -99 and NaN in a data column?

I am new to data science. I was looking into some datasets and I saw some values like -99, which I discovered later that it means that there is a missing value. Does this mean the same thing as NaN? ...
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1answer
51 views

Getting into data science and NLP outside of university

I'm almost 40. Four months ago I resigned from work to rest from stressing work and change my carerr direction. It took me some time to understand what I want to do and only then I started to learn ...
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1answer
50 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, ...
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2answers
31 views

Inspect false classified

Recently, I was able to train a simple classification algorithm (my first ML-Project) and I even got a pretty satisfying precision score. Now I am looking for a way to inspect, which datapoints in ...
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0answers
30 views

How does permutation of training data improve convergence time when training a perceptron or neural network model? [duplicate]

I'm currently studying some basic concepts regarding Deep Learning and Neural Networks with this material. When discussing the training algorithm for a perceptron, the author states that looping ...
2
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1answer
48 views

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 ...
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0answers
27 views

Help with Tensorflow 2.0 beta not learning

Have a tabular data set and have done some graphical exploration with Orange 3. Attempted NN regression with Keras/TensorFlow 2.0 beta on Python 3.6.7. The problem is that TF 2.0 is not "learning" (...
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1answer
31 views

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 ...
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1answer
207 views

Prerequisites for openCV [closed]

I am looking to start learning openCV to perform a car detection program. Should I know data science and/or machine learning stuff before going for openCV? If not, where can I start learning openCV ...
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2answers
198 views

Tips for checking data integrity / data sanity?

I've read a few vague articles and watched a couple of YouTube videos on data integrity and data sanity, but none of them have mentioned ways to actually check these on datasets. I am interested in ...
2
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1answer
36 views

Representing state in Q-Learning

I have a fairly simple game in which I wish to use Q-learning to train an agent, but I have some questions regarding state representation. I'm new to RL so bare with me: If you have a game where you ...
1
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2answers
114 views

Is Mac OS the most suitable OS for a beginner Data Scientist? [closed]

As far as I understand a data scientist should learn both Excel and Bash. And the golden mean is this case is Mac OS, because it has both. And later I can install Ubuntu on Macbook.
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0answers
24 views

Autoencoder and Dimensionality

I'm pretty confused with the input/output/dense portion of an autoencoder. So my data consists of a numpy array of a 9 categorical features which have all been one hot encoded. So the input would ...
1
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1answer
111 views

Why can't I use data augmentation with a pretrained convnet?

Reading Deep Learning with Python by François Chollet. In section 5.3.1, we've instantiated a pretrained convnet, VGG16, and are given two options to proceed: A) Running the convolutional base over ...
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1answer
22 views

Train, test and submission files - what am I supposed to do with all of them?

this might be very beginner's question. I'm working on Kaggle's HomeCredit Default Risk problem which has among others dataset train, test and submission files as can be seen in the link provided. The ...
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2answers
260 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
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1answer
27 views

MOOC importance [closed]

My problem is that at our masters program we have already been taught R, Statistics, Neural nets, Python (pandas, sklearn, etc). Also my master thesis is directly related to Deep Learning and Computer ...
1
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1answer
55 views

Data Exploration Tips & Tools

I am pretty new to the Data Science world and I am looking for some advices. One of the tasks that I have to do, is to go alone at a customer place for few days/weeks and dig into their data lake to ...
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4answers
775 views

Data Science Career: From Researcher To Data Scientist

I’m currently working as a Research Assistant in Computer Science, specializing in both Human-Computer Interaction (HCI) and Health Informatics (HI) fields. As part of my role, I collect data from ...
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0answers
29 views

What are the introductory mathematics courses that are most pertinent to machine learning?

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 ...
5
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3answers
3k views

How to apply class weight to a multi-output model?

I have a model with 2 categorical outputs. The first output layer can predict 2 classes: [0, 1] and the second output layer can predict 3 classes: [0, 1, 2]. How can I apply different class weight ...
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1answer
41 views

Timeseries of odds in race - how to pick a model

Being new to AI/ML I'd like some pointers to where to begin. I got data from horse races. Specifically, I got the odds for each runner during the race - ca 5 times per second. ...
1
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0answers
84 views

very large difference between cross_val and (multiple) r2 model evaluation

I did submit my first kaggle kernel, on the avocado dataset kernel link, I treated it like I should predict the avocado price so I splitted the dataset in a train & test set, fitted the model and ...
3
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2answers
550 views

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 ...
4
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0answers
86 views

Which technologies and skills should the new generation of data scientists learn? [closed]

Having looked at various job requirements, I see that a lot of them require you to be an expert in Hadoop, use Spark but I am wondering how useful are these technologies (due to my lack of ...
0
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1answer
169 views

Chi-squared for continuous variables

I am using chi-squared to determine feature importance as I select features to train a supervised ML model. I create a contingency table for the feature/target, and feed this contingency table into ...
2
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3answers
6k views

Determine useful features for machine learning model

I am working with a dataset with hundreds of features. I wish to create a simple machine learning model using 7-10 features from the original dataset. My question is this: What quantitative metrics ...
1
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1answer
54 views

Where to upload a source text to datamine matching contents with constraint?

I am even unsure if this is the correct category. I have very minimal programming knowledge. I am curious how can I get started for a project I have in mind. I want to upload a file to a webcrawler ...
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2answers
65 views

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: ...
2
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5answers
1k views

How to compare Timeseries Sequences?

I have multiple time series sequences and I want for each new time series to find the most alike old one. I found that I can use the sum of errors between points. Is this a good approach? Is there a ...
0
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2answers
78 views

Need sugestion to accuire a job in data mining [closed]

I interested in data mining specialization and have been enrolled in data mining specialization course at Coursera by University of Illinois. This specialization course contains four parts. The very ...
4
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0answers
44 views

Learning a logical function with a 2 layer BDN network - manual weight setting rule question?

So I am trying to construct a 2-layer network of binary decision neurons as proposed by McCullough and Pitts (1943) to learn a logical function (a composition of AND's and OR's) such as: $((\neg x_1\...
5
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2answers
3k views

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 (in general and in ...
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0answers
132 views

ElasticSearch for data scientists [closed]

This is to seek career advice for a data scientist. What pertains within the role of data scientist and what does not regarding ElasticSearch. Does backend development for ElasticSearch using ...
1
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0answers
78 views

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)? ...
2
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0answers
43 views

Text recognition within images [closed]

I am a beginner and need further help to elaborate following problem. I want to "read" text from images. In my problem setting, the text on all the images has the same structure. I found this solution ...
1
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1answer
145 views

How to get started? [closed]

I am currently working as a registered nurse, but I have decided that I can no longer do this as a career. I was essentially forced by my parents to go into the health field. After doing research on ...
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1answer
2k views

How Natural language processing and elasticsearch are related

I got call from a recruiter for an elasticsearch job. I am not sure how these 2 are related. Can anyone suggest and provide example use case?
1
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1answer
3k views

Create similarity matrix

I have a training set and a testing set of vectors. All the vectors are labeled. For each labeled vector in the testing set, there are 3 vectors in the training set with the same label. I'm using ...
2
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0answers
23 views

Mapping a set of corrupted strings to the correct ones

I am fairly new into Data Science but encoutered it before. The following problem troubles me and i hope you guys can point me in the right direction. The input are some strings where some carry the ...
1
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1answer
49 views

Recording Data of my learning progress

I'm just starting out with learning about Data Science and programming through various online course. Was thinking a good first project would be a to create a log of what I'm learning and how long ...