Maybe we can make our model better.Class balance for original dataWe can see here that our data is a little out…
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Net upvote prediction and subreddit-based sentence completion for Reddit comments:
The computational complexity of training this seq2seq model is higher than training the word embedding neural language model, so in…
Continue ReadingTransfer Learning for Image Classification using Keras
This is exactly what we want since we’re going to train our own brand new FC layers for transfer learning.Flowing…
Continue ReadingImproving The Wrong Error Is a Futile Effort.
They will end up not doing its task properly.You decide to build another cat classifier, and its goal is to…
Continue ReadingIntroducing PyText
A high level view of the architecture of PyText clearly reveals how those stages are clearly encapsulated by native components…
Continue ReadingGetting started with mlFlow
The framework allows you to load and save the model in a format compatible with most popular frameworks (eg: Scikit,…
Continue ReadingTraining a Neural Network to Detect Gestures with OpenCV in Python
My old model didn’t generalize well, and my ultimate goal was to build a model that could recognize my gestures…
Continue ReadingGoogle App Store Rating Prediction
The first linear regression model used was between Installs and Rating with a score of 0.2233, Our Reviews and Rating…
Continue ReadingDevelop a NLP Model in Python & Deploy It with Flask, Step by Step
Our ML systems workflow is like this: Train offline -> Make model available as a service -> Predict online.A classifier…
Continue ReadingSetting up a Rails API Backend
Our migration file should look likeLastly we need to create a migration for our list items table..This table will have…
Continue ReadingPredicting hospital length-of-stay at time of admission
The RMSE equation for this work is given as follows, where (n) is the number of hospital admission records, (y-hat)…
Continue ReadingMarch Madness — Predicting the NCAA Tournament
We were successfully able to score a more accurate prediction each time we added complexities into our model, and we…
Continue ReadingWhat’s the fuss about Regularization?
Thus Lasso is useful in feature selection wherein it eliminates the unnecessary features by reducing their weights to zero and…
Continue ReadingGenerating Pokemon-Inspired Music from Neural Networks
In terms of model architectures, we were able to learn about and implement bidirectional layers, and we got to see…
Continue ReadingTemperature Prediction Using Recurrent Neural Network
A reshaping of vectors from 2D to 3D is needed since the the recurrent net wants to know the time…
Continue ReadingDoodling with Deep Learning!
Below is the custom CNN model that we created with number of convolutional layers, dense layers, dropout and size as…
Continue ReadingHow not to Use Machine Learning Models
I was very interested in how the presentation team will be using the model though, so I asked the question,…
Continue ReadingNLP Breakthrough Imagenet Moment has arrived
(Source: Matthew Peters)In light of this step change, it is very likely that in a year’s time NLP practitioners will download…
Continue ReadingUsing Starbucks app user data to predict effective offers
Using my best_model function, I get the below dataframe of the results:#get best model overall for bogo,discount and info offersbest_model('bogo').append([best_model('discount'),best_model('info')]).transpose()Model…
Continue ReadingHands-on Machine Learning Model Interpretation
the middle-aged people have a slightly higher shap value, pushing the model’s prediction decisions to say that these individuals make…
Continue ReadingUsing CNNs and RNNs for Music Genre Recognition
This model passes the input spectogram through both CNN and RNN layers in parallel, concatenating their output and then sending…
Continue ReadingFour Approaches to Explaining AI and Machine Learning
We used a simple model to demonstrate these differences to make a point that even a model with just two…
Continue ReadingYoel Zeldes
TensorFlow Filesystem — Access Tensors DifferentlyVariational Autoencoders Explained in DetailLearn all the details needed to implement a variational…How to Engineer Your Way Out…
Continue ReadingClassifying Cats & Dogs images with AutoML Vision
This gave me the idea to work with a similar dataset.Also, my brothers were highly fond of pets (especially cats…
Continue ReadingMachine Learning Is The Future Of Cancer Prediction
The model tested using BN’s, ANN’s, SVM’s, DT’s and RF’s to classify patient data into those with cancer relapses and…
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