AI & Data Science

2022-06-13 14:02:12 Matrix-vector product

In the last post dedicated to linear algebra we introduced matrices. Today we are focusing on matrix-vector product. In order to fully comprehend the topic I recommend refreshing the #Vectors series.

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2022-06-10 14:00:58 Machine learning: Overfitting

In the last post dedicated to machine learning we covered backpropagation, loss/cost function, gradient descent and optimizers. Today we are going to introduce a new machine learning concept called overfitting.

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2022-06-08 14:01:24 Pandas: handling missing values

In the last post dedicated to Pandas we discussed grouping and summarizing the data. Today we are going to talk about handling missing values.

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2022-06-06 14:01:31 Matrices: introduction

With this post we are starting a new series of post in the linear algebra section dedicated to matrices. Firstly, we will cover the basics such as definition, dimensions and elements.

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2022-06-03 14:51:32 Neural Networks: backpropagation, loss/cost function, gradient descent, optimizers

In the last post dedicated to neural networks we covered the basics of neural networks which includes layers, weights, bias and activation functions. Today we are going to dive deeper in the world of neural networks by introducing backpropagation, loss/cost function, gradient descent and optimizers.

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2022-06-01 14:00:42 Pandas: grouping and summarizing the data

In the last post dedicated to Pandas we discussed adding and deleting rows and columns. Today we are going to talk about grouping and summarizing the data.

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2022-05-30 14:01:03 Linear combinations, span, and basis vectors

In the last post dedicated to linear algebra we discussed products of vectors. Today we are focusing on linear combinations, span, and basis vectors.

In my opinion, it is really difficult to explain this topic verbally so I recommend you watching this video by 3Blue1Brown with fantastic visualizations that will help you to understand it.

#Math #LinearAlgebra #Vectors Відкрити / Коментувати

2022-05-27 13:34:30 Neural Networks: layers, weights, bias, activation functions

With this post we are starting a series of posts dedicated to neural networks. Today we are going to cover the basics of neural networks which includes layers, weights, bias and activation functions.

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2022-05-25 09:01:14 Pandas: adding and deleting rows and columns

In the last post dedicated to Pandas we discussed selecting specific data from a DataFrame and filtering a DataFrame. Today we are going to talk about adding and deleting rows and columns.

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2022-05-23 09:00:35 Products of Vectors

In the last post dedicated to linear algebra we discussed two basic operations with vectors: addition and subtraction. Today we are focusing on products of vectors.

#Math #LinearAlgebra #Vectors Відкрити / Коментувати