Python Algorithm Implementation from scipy import stats from pylab import * def knnClassify(Target_feature, dataSet, p, k): dataSet_x = dataSet[:, 0:-1] dataSet_y = dataSet[:, -1] L_p = [] for i in range(len(dataSet_x)): l_p = 0 for x_i in range(len(dataSet_x[i])): l_p = (abs(dataSet_x[i][x_i] – Target_feature[x_i]))**p+l_p l_p =math.pow(l_p, 1/p) L_p.append(l_p) L_p = np.array(L_p) y_i = L_p.argsort() y = … Read more
Source: Machine Learning Algorithms Python is arguably the sharpest weapon for machine learning; conversely, machine learning provides the power to expand influence and recreate brilliance for Python. The two complement each other to such an extent that whenever machine learning is mentioned, people naturally think of Python. Although this perspective may be somewhat narrow, there … Read more
A crucial step in training a chatbot is word vector training. Whether it’s a generative chatbot or a retrieval-based chatbot, it is necessary to convert text into word vectors. The most popular word vector training model nowadays is Word2Vec. Today, I will guide you through training word vectors using Chinese Wikipedia. Training Data Download We … Read more
1. Basic Concepts of Linear Programming Linear Programming (LP) is an important branch of mathematical programming in operations research, used to find the maximum or minimum of a linear objective function under a set of linear inequality constraints. The problem can be stated as: Find the optimal solution (maximum or minimum) of the linear objective … Read more
#Accelerating Image Recognition with Numpy: Visual Computing in Action! Today, we will discuss how Numpy can speed up image recognition. Image recognition, in simple terms, is about making computers ‘see’ images and understand them (or at least recognize what they are). Behind this, a lot of mathematical calculations happen at high speed, and Numpy is … Read more