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Vector derivatives

??o hàm theo vector bao g?m gradient, ma tr?n Jacobian và ??o hàm c?a ma tr?n, ?óng vai trò quan tr?ng trong gi?i tích, t?i ?u hóa và ?ng d?ng trong h?c máy.

Tứ phân vị và cực điểm (outlier)

Mai nói với Parker về mức lương và thống kê Giả sử tôi có dữ liệu về mức lương của hai công ty như sau: ✅ Mico:$1 000 000, 37 000, 48 000, 35 000,… 

Không gian Vector và ví dụ

Định nghĩa không gian vector Không gian vector (hay không gian tuyến tính) là một tập hợp các đối tượng (gọi là vector) cùng với hai phép toán cơ bản: 💡 Một không gian vector… 

Cách trình bày một bài báo khoa học

Phong cách viết nghiên cứu Phong cách viết của một bài nghiên cứu nên trang trọng. Điều đó có nghĩa là không sử dụng “let’s”, mà phải viết là “let us”. 💡 Về cách rút… 

Lợi Ích Của ChatGPT Trong Nghiên Cứu

Sử dụng ChatGPT cho nghiên cứu mang lại nhiều lợi ích, đặc biệt trong việc tìm kiếm, tổng hợp và phân tích thông tin. Dưới đây là một số ví dụ: 1. Tìm kiếm và… 

Understanding Data Patterns: Trends, Cycles, and Clusters

This cute, funny comic helps us to understand what a pattern is. Data analysis relies on identifying patterns such as trends, cycles, and clusters to extract insights. Trends provide long-term behavioral insights influencing business strategies,… 

Generate Images with Leonardo AI

Leonardo AI is an innovative tool for generating images through text prompts. Leveraging advanced algorithms, it offers features like image editing, upscaling, and community sharing. Users can create unique visuals effortlessly for various projects.

Animate an image with Leonardo AI

In this post, I will illustrate how to use Leonardo AI to animate an image effectively and creatively. This powerful tool allows users to bring static visuals to life, providing an engaging experience for viewers.

Riemann sum

A Riemann sum is a method used in calculus to approximate the integral (or area under a curve) of a function. It is named after the German mathematician Bernhard Riemann. The basic idea behind a… 

PySpark: selecting and accessing data

The content outlines various PySpark functions used for data manipulation in DataFrames. Key functions include filtering with where(), limiting rows with limit(), returning distinct rows, dropping columns, and grouping by criteria. Each function includes a… 

PySpark data frame creation song

This song and example code help remember PySpark data frame creation functions easier. Key functions include creating Data Frames, displaying data, printing schemas, and filtering. The document facilitates understanding how to manipulate data effectively in… 

pandas function song – grouping the data

This song and code examples help us understand and remember various Pandas functions for data manipulation, including grouping, aggregating, and transforming data. Key functions include groupby(), pivot_table(), resample(), rolling(), expanding(), cumsum(), cumprod(), cut(), qcut(), aggregate(),… 

normal distribution comics & song

This song helps us better remember the properties of the normal distribution. A normal distribution, also known as a Gaussian distribution, is a symmetrical, bell-shaped continuous probability distribution characterized by its mean (?) and standard… 

Pandas function song

A cute, catchy song on various Pandas functions applied to DataFrames. Key functions include sorting values, resetting the index, dropping columns and duplicates, sampling data, and handling missing values. Example codes illustrate each function’s output,… 

Can sound crack glass?

Sounds can crack glass when they match its resonant frequency and are loud enough, typically over 100 decibels. Famous singers like Enrico Caruso and Ella Fitzgerald demonstrated this phenomenon. The process involves amplifying vibrations until… 

PyTorch basic computation function song

The provided content showcases a series of PyTorch functions with descriptions and examples. Functions like torch.abs, torch.ceil, torch.floor, torch.clamp, torch.std, torch.prod, and torch.unique are explained with their respective use cases. These functions are fundamental for… 

PyTorch function song: linear algebra operations

The provided content showcases common linear algebra operations in PyTorch, including determinant calculation, matrix inverse, LU decomposition, QR decomposition, Cholesky decomposition, SVD, eigenvalue and eigenvector computation, matrix and vector norms, trace calculation, solving linear systems,… 

PyTorch Tensor Creation song & examples

Tensor Creation: Example: Here are examples for each of the basic tensor creation functions in PyTorch: Output: Output: Output: Output: Output: Output: Output: Output: Output:

PyTorch function song & examples: Tensor Type & Device Management:

The provided content discusses tensor reshaping and tensor type and device management in PyTorch. It covers functions such as tensor.view(), tensor.reshape(), tensor.transpose(), tensor.squeeze(), tensor.unsqueeze(), tensor.to(), tensor.type(), tensor.is_cuda, tensor.cpu(), and tensor.cuda(). Demonstrated examples showcase effective memory… 

PyTorch Tensor Operations song & examples

PyTorch Tensor Operations song & examples on element-wise addition, subtraction, multiplication, and division, matrix multiplication, as well as operations like sum, mean, max, min, concatenation, and stacking of tensors.

Support Vector Machine + Python & R Codes

Support Vector Classifier (SVC) is a powerful algorithm for classification tasks, capable of handling linear and non-linear data using different kernel functions. It efficiently handles high-dimensional data for applications like image recognition and bioinformatics. Python… 

K-Means Clustering Method & Python Codes

K-Means Clustering is a popular unsupervised machine learning algorithm used for clustering data into groups. It is widely used in various fields such as image processing, market segmentation, and document clustering. The algorithm works by… 

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