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Results tagged with deep-learning
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user 64876
a new area of Machine Learning research concerned with the technologies used for learning hierarchical representations of data, mainly done with deep neural networks (i.e. networks with two or more hidden layers), but also with some sort of Probabilistic Graphical Models.
4
votes
2
answers
156
views
Points to remember when embarking on an organization-wide turn to AI solutions
In our organization, we are currently in the phase of building up team, skills to automate and implement AI based solutions. So, we are very early in this AI journey.
Right now, we are also working on …
- 2,413
0
votes
1
answer
319
views
How to use hierarchical variable in a ML model
I am working on a binary classification problem with 1000 rows and 20 variables.
I have variables like product_id, city, state, country, product family, product type, product segment etc etc..
As you …
CommunityBot
- 1
1
vote
1
answer
47
views
Federated learning - share of ROI
I am reading about federated learning and have a quick question
1) I know in federated learning, the model updates are shared to a central server
2) All the parties involved in FL can generate benef …
CommunityBot
- 1
1
vote
1
answer
1k
views
How to fix spelling mistakes in data?
I have an input data file which contains list of drug names.
I have more than 1000 unique drug names. However, the drug names has spelling mistakes and space character issues.
For ex: we have ISONIA …
1
vote
1
answer
2k
views
how to link the predicted output to the original observation?
Am working on a binary classification using logistic regression data
I have 1000 rows and 28 features. Three to 4 variables are Id variables like product_id, subject_id etc
During train_test split, I …
- 1
7
votes
4
answers
5k
views
Discrimination vs Calibration - Machine Learning Models
I came across a new term called Calibration while reading about prediction models.
Can you please help me understand how different it is from Discrimination.
We build ML models to discriminate two/m …
2
votes
0
answers
52
views
Should credit be given to AI model - low data scenario [closed]
In my office, we recently built an AI model for project success prediction using binary classification.
Though the dataset size was small (977 records), my boss still wanted to go ahead with the POC b …
- 2,655
1
vote
2
answers
544
views
Suggestions for guided NLP online courses - Beginner 101
I would like to know from the data science community here for suggestions on nlp courses.
I am new to NLP area and would like to take up a course which covers from basic to advanced concepts such as t …
- 25.9k
7
votes
2
answers
12k
views
Encoding before vs after train test split?
Am new to ML and working on a dataset with lot of categorical variables with high cardinality.
I observed that in lot of tutorials for encoding like here, the encoding is applied after the train and t …
- 1
9
votes
2
answers
1k
views
MLOps for beginner
I am 1 year old in ML and have been using jupyter notebook to build static models all these days, do some analysis and present my results to the bosses as it was all POC.
Now, we would like to scale t …
- 2,655
0
votes
0
answers
603
views
Dealing with near duplicates using NLP
I have a dataframe like as shown below
ID,Name,year,output
1,Test Level,2021,1
2,Test Lvele,2022,1
2,dummy Inc,2022,1
2,dummy Pvt Inc,2022,1
3,dasho Ltd,2022,1
4,dasho PVT Ltd,2021,0
5,delphi Ltd,2021 …
- 2,655
6
votes
1
answer
14k
views
How does SMOTE work for dataset with only categorical variables?
I have a small dataset of 977 rows with a class proportion of 77:23.
For the sake of metrics improvement, I have kept my minority class ('default') as class 1 (and 'not default' as class 0).
My input …
1
vote
2
answers
121
views
Interpretation of statistical features in ML model
I have a data like as shown below (working on classification problem using traditional classification and DL based approaches)
I see in feature engineering tutorials (and tools) here and here, they u …
- 22.3k
4
votes
1
answer
707
views
How to reset ML model's memory?
I have been working on binary classification problem using algorithms such as Random Forest, neural networks, Boosting methods and logistic regression.
However, during my model building process, I twe …
- 4,244
0
votes
1
answer
56
views
When to use best hyperparameters - Feature selection or Model building?
I am working on a binary classification with 977 rows using different algorithms
I am planning to select important features using wrapper methods.
As you might know, wrapper methods involve use of ML …
- 2,074