Niharika Batra
Data Scientist | AI/ML | Women in Data Making AI, Machine Learning and Data Science easier to understand - one concept at a time
| Platform |  | Pricing | Only free issues | Publishes | Daily |
|---|---|---|---|---|---|
| Issues | 48 | Founded | a year ago | Last Issue | 3 days ago |
| Active | |||||
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niharikabatra.substack.comLatest Issues
Week 4, Day 4 - Batches, Iterations, Epochs & Learning Rate in Neural Network
So far this week, we have slowly opened up the black box of neural networks.
Read here: 16 week AI/ML Series
On Day 1, we understood what a neural network is and why we use layers of neurons.
On Day 2, we looked inside a neuron and learn...
Week 4, Day 3 - Forward Propagation, Backward Propagation & Gradient Descent in Neural Network
Yesterday, we went inside a neuron.
We learned about inputs, weights, bias, activation functions, vectors, and embeddings.
But we haven’t answered the most important question yet:
How does a neural network actually learn?
A neural net...
Week 4, Day 2 - Inside a Neuron: From Vectors to Embeddings, Weights & Activation
Yesterday, we took our first look at neural networks.
We saw that a neural network is made up of connected neurons arranged in layers.
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Information enters th...
Week 4, Day 1 - Neural Networks: What Are They and How Do They Work?
So far, we’ve learned how machines can predict numbers, classify things, make decisions using Decision Trees, and combine multiple models.
Today, we’re moving into one of the most important ideas behind modern AI:
Neural Networks.
You’ve...
Week 3, Day 7 - Recap: Putting the Pieces Together 🧩
Week 3 is officially complete! 🎉
And if you look back at everything we covered this week, there are quite a few new terms:
Confusion Matrix.
Precision.
Recall.
F1 Score.
ROC.
AUC.
Decision Trees.
Gini Impurity.
Entropy....
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Data Scientist | AI/ML | Gen AI | Applied AI
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