To get rid of the Over & Under fit models.
While we start building some machine learning models, we will come across these overfit & underfit characters. I feel these are monsters in the model building which stops me to build a perfect model. …
Get detailed into miracle’s of quantization
Whenever I work on deep learning projects to train a model and make it ready for production by saving the model, it gives me huge memory. Then I started researching to decrease the saved model memory and here I found a name called “Quantization”…
The complete story behind my developer certificate.
I received my TensorFlow Developer Certificate!!
Initially, when I started working on machine learning projects, I felt cool learning and implementing those algorithms on related problems. But while coming to neural networks, it was hard to implement them for solutions due to the…
Basic intuitions of Neural networks
When I started reading articles on neural networks, I faced a lot of struggles to understand the basics behind neural networks and how they work. Start reading more and more articles on the internet, grab those key points, and put them together into private notes…
The toughest job in the field of Data Science is training DNN
For the past two years, I’m working in the Data Science field which always makes me learn and know better in the field. While coming to DNN, I feel more comfortable working and gather tricks to make neural…
In detail with Bag of words, TF_IDF, RNN’s, GRU’s & LSTM’s.
Yes! Alexa is designed from NLP modelling.
But, how NLP works and how it is designed for modelling?
In this article, I will prepare data for NLP modelling. …
Trouble-Free Concept in 5 min.
It is model to predict the future values based on previous observed values. It has certain data points at every time steps.
Time Series widely used in non-stationary data such as
Stock Prices, Weather predictions , Economics, Retail sales etc…
So…
Teaching or Training the machines to perform and predict the outcomes.
Types of machine learning
Takes features and labels in training dataset to learn and predict the outcomes.
Contains only features and extracts…
