五、如何準備ML Coding面試？Image provide: Python Central對於MLE/AS來說，甚至某些比較硬核的DS，有時候會考到Model Implementation from scratch，也就是不使用sklearn, pytorch，只用numpy去實踐model or algorithms，但是通常會考的也就是那幾個：Unsupervised Model：import numpy as npdef initialize_centroids(X, okay):”””Randomly initialize okay centroids from the dataset X.”””indices = np.random.permutation(X.kind[0])centroids = X[indices[:k]]return centroidsdef closest_centroid(X, centroids):”””For each stage in X, uncover the closest centroid.”””distances = np.sqrt(((X – centroids[:, np.newaxis])**2).sum(axis=2))return np.argmin(distances, axis=0)def update_centroids(X, labels, okay):”””Recalculate centroids.”””new_centroids = np.array([X[labels == i].indicate(axis=0) for i in differ(okay)])return new_centroidsdef kmeans(X, okay, max_iters=100):”””The first k-means algorithm.”””centroids = initialize_centroids(X, okay)for i in differ(max_iters):labels = closest_centroid(X, centroids)new_centroids = update_centroids(X, labels, okay)# Study for convergence (if centroids don’t change)if np.all(centroids == new_centroids):breakcentroids = new_centroidsreturn centroids, labels# Occasion utilization# Generate some datanp.random.seed(42)X = np.random.rand(100, 2)#…
Author: ainews
五、如何準備ML Coding面試？Picture supply: Python Central對於MLE/AS來說，甚至某些比較硬核的DS，有時候會考到Model Implementation from scratch，也就是不使用sklearn, pytorch，只用numpy去實踐model or algorithms，但是通常會考的也就是那幾個：Unsupervised Mannequin：import numpy as npdef initialize_centroids(X, okay):”””Randomly initialize okay centroids from the dataset X.”””indices = np.random.permutation(X.form[0])centroids = X[indices[:k]]return centroidsdef closest_centroid(X, centroids):”””For every level in X, discover the closest centroid.”””distances = np.sqrt(((X – centroids[:, np.newaxis])**2).sum(axis=2))return np.argmin(distances, axis=0)def update_centroids(X, labels, okay):”””Recalculate centroids.”””new_centroids = np.array([X[labels == i].imply(axis=0) for i in vary(okay)])return new_centroidsdef kmeans(X, okay, max_iters=100):”””The primary k-means algorithm.”””centroids = initialize_centroids(X, okay)for i in vary(max_iters):labels = closest_centroid(X, centroids)new_centroids = update_centroids(X, labels, okay)# Examine for convergence (if centroids do not change)if np.all(centroids == new_centroids):breakcentroids = new_centroidsreturn centroids, labels# Instance utilization# Generate some informationnp.random.seed(42)X = np.random.rand(100,…
Gaussian Course of Regression (GPR) is a statistical method used to model and make predictions about difficult, non-linear strategies. At its core, GPR relies on Gaussian processes, which generalize Gaussian probability distributions to stipulate distributions over options.Key Components of GPRGaussian Course of:A Gaussian course of is a set of random variables, any finite number of which have a joint Gaussian distribution. It’s very specified by its indicate function and covariance function (kernel).Kernel Carry out (Covariance Carry out):The kernel function defines the similarity between data elements and determines the type of the function being modeled. Frequent kernels embrace the Radial Basis…
Gaussian Course of Regression (GPR) is a statistical approach used to mannequin and make predictions about complicated, non-linear methods. At its core, GPR is predicated on Gaussian processes, which generalize Gaussian chance distributions to outline distributions over features.Key Elements of GPRGaussian Course of:A Gaussian course of is a set of random variables, any finite variety of which have a joint Gaussian distribution. It’s totally specified by its imply operate and covariance operate (kernel).Kernel Perform (Covariance Perform):The kernel operate defines the similarity between knowledge factors and determines the form of the operate being modeled. Frequent kernels embrace the Radial Foundation Perform…
Recently, I was requested to find a vehicle insurance coverage protection premium dataset and predict a “truthful” premium for each policyholder. The responsibility included exploratory data analysis, attribute engineering, model selection and comparability, and concepts for model enchancment. It was an attention-grabbing and insightful exercise, as our expectations usually fail and we are going to’t kind out the problem in a routine and easy methodology. Proper right here, I contact upon the ultimate course of and particulars. The longer mannequin of the analyses may be current in this GitHub repository.The dataset belongs to a French vehicle insurer and is in…
Lately, I used to be requested to discover a automobile insurance coverage premium dataset and predict a “truthful” premium for every policyholder. The duty included exploratory information evaluation, characteristic engineering, mannequin choice and comparability, and ideas for mannequin enchancment. It was an attention-grabbing and insightful activity, as our expectations typically fail and we will’t sort out the issue in a routine and simple method. Right here, I contact upon the final course of and details. The longer model of the analyses might be present in this GitHub repository.The dataset belongs to a French automobile insurer and is in two components,…
Unbelievable Use Instances that Will Change the Means You Assume About GPT-4oI’ve been eagerly awaiting the discharge of OpenAI’s GPT-4.0 mannequin, and now that it’s right here, I can’t assist however marvel about all of the wonderful issues I can use it for. On this article, I’ll be exploring the assorted use circumstances that OpenAI has showcased, in addition to among the inventive purposes that the web has give you to date.To start out, let’s dive into among the first use circumstances talked about in OpenAI’s announcement weblog put up. I’ll even be sprinkling in further use circumstances that I’ve…
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شماره خاله میانه شماره خاله مریوان شماره خاله اسلامشهر شماره خاله اقلید شماره خاله دزفول شماره خاله اراک شماره خاله زنجان شماره خاله اباده شماره خاله نی ریز شماره خاله دماوندشماره خاله استارا شماره خاله ایلام شماره خاله بهبهان شماره خاله امل شماره خاله قزوین شماره خاله اردبیل شماره خاله جهرم شماره خاله ماکواقلیدشماره خاله شوش شماره خاله شوشتر شماره خاله املش شماره خاله علیگودرز شماره خاله امیرکلا شماره خاله نائین شماره خاله اهر شماره خاله تنگستان شماره خاله باجگیران شماره خاله بازرگانشماره خاله نی ریز شمارهخاله آبسرد شماره خاله آبگرم شماره خاله آذرشهر شماره خاله قائنات شماره خاله آشتیان…
Photograph by J-Photos on UnsplashWhat’s the Vary?Vary is like trying on the tallest and shortest bushes in a forest and measuring the area between them. It’s the distinction between the utmost and minimal values in your information. Easy, proper?▪ Method: Vary=Most Worth−Minimal WorthAnd, What About Interquartile Vary (IQR)?IQR helps us to know the center unfold of our information, primarily telling us the place the majority of our values lie with out getting distracted by outliers or excessive values. Think about if we solely thought of the peak of bushes from the twenty fifth tallest to the seventy fifth tallest, ignoring…