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Computer Science and Programming

Computer Science and Programming

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Computer Science and Programming (@machinelearning_programming) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 14 846 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 8 736-o'rinni va Hindiston mintaqasida 29 532-o'rinni egallagan.

📊 Auditoriya ko‘rsatkichlari va dinamika

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04 Iyun, 2026 dagi oxirgi ma’lumotlarga ko‘ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni -152 ga, so‘nggi 24 soatda esa -7 ga o‘zgardi va umumiy qamrov yuqori darajada qolmoqda.

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Channel for who have a passion for - * Artificial Intelligence * Machine Learning * Deep Learning * Data Science * Computer vision * Image Processing * Research Papers * Related Courses and Ebooks With advertising offers contact:

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Postlar arxiv
Advanced Python made easy Python is an object-orientated language that closely resembles the English language which makes it
Advanced Python made easy Python is an object-orientated language that closely resembles the English language which makes it a great language to learn for beginners. It’s advanced features and package of supported libraries even makes hard task be writable in bunch of lines of code. 1.Join 👉@DeepLearning_ai 2.Join 👉@ComputerScience_MachineLearning https://medium.com/quick-code/advanced-python-made-easy-eece317334fa

10+ Python Tips and Tricks You Should Know in 2020 This video covers some different tips and trick in Python. These tricks make it easier and faster to write python code and give you some good tools to use the future. What's your favorite python tip and trick? Let me know! 1.Join 👉@DeepLearning_ai 2.Join 👉@ComputerScience_MachineLearning https://morioh.com/p/7430d87868f7

Programming, Data Science and Machine Learning Books (Python and R) These books will help you to understand the processes involved in data science workflow and become a data science professional. 1.Join 👉@DeepLearning_ai 2. Join 👉https://www.facebook.com/groups/MachineLearningSource/ 3.Join 👉@ComputerScience_MachineLearning https://towardsdatascience.com/programming-data-science-and-machine-learning-books-python-and-r-bfcc7f47492

How to Solve Any Code Challenge or Algorithm Good code is abstract, so let’s apply that same logic to our problem solving! These steps are not specific and can be applied to most code challenges. (Edsger Dijkstra) 1.Join 👉@DeepLearning_ai 2. Join 👉https://www.facebook.com/groups/MachineLearningSource/ 3.Join 👉@ComputerScience_MachineLearning https://medium.com/swlh/how-to-solve-any-code-challenge-or-algorithm-c66e0bed9dc9

Python Image Processing Tutorial (Using OpenCV) In this tutorial, you will learn how you can process images in Python using the OpenCV library. OpenCV is a free open source library used in real-time image processing. It’s used to process images, videos, and even live streams, but in this tutorial, we will process images only as a first step. Before getting started, let’s install OpenCV. 1.Join 👉@DeepLearning_ai 2. Join 👉https://www.facebook.com/groups/MachineLearningSource/ 3.Join 👉@ComputerScience_MachineLearning https://likegeeks.com/python-image-processing/

Here are 450 Ivy League courses you can take online right now for free. The eight Ivy League schools are among the most prestigious colleges in the world. They include Brown, Harvard, Cornell, Princeton, Dartmouth, Yale, and Columbia Universities, and the University of Pennsylvania. 1.Join 👉@MachineLearning_DeepLearning_ai 2. Join:https://www.facebook.com/groups/MachineLearningSource/ 3.@ComputerScience_MachineLearning https://www.freecodecamp.org/news/here-are-380-ivy-league-courses-you-can-take-online-right-now-for-free-9b3ffcbd7b8c/

Here's 7 statistical & machine learning concepts that you should know for #DataScience: Join: https://t.me/ComputerScience_MachineLearning Join: https://t.me/DeepLearning_ai Join: https://www.facebook.com/groups/MachineLearningSource/ 1. Tree Based Methods a. Decision Trees - https://lnkd.in/gBtCk9G b. Random Forest - https://lnkd.in/g9FkczK c. Gradient Boosting Trees - https://lnkd.in/gFPFGsk 2. Linear (Regularized) Models a. Lasso & Ridge - https://lnkd.in/g3dJT-g b. Linear Regression - https://lnkd.in/g7AS6Ar c. Logistic Regression - https://lnkd.in/gq4EyJc 3. Hypothesis Testing & confidence a. A/B Testing - https://lnkd.in/gmeijHV b. Chi Square Test - https://lnkd.in/gG6vz2T c. Statistical Tests - https://lnkd.in/gJcfTsq 4. Resampling Methods a. Bootstrapping and Bagging - https://lnkd.in/gPmm4by b. Cross Validation - https://lnkd.in/gsfsE6y 5. Clustering K-means https://lnkd.in/gvNsp8N 6. Feature Selection https://lnkd.in/gdCBWpB 7. Evaluation Metrics a. Classification Metrics - https://lnkd.in/gxeyC6n b. Regression Metrics - https://lnkd.in/gj4Eg9p

@DeepLearning_AI channel is moved to 👇👇👇 Join us: https://t.me/MachineLearning_DeepLearning_ai Connect our channel and enjoy latest AI news, courses, books, source codes and so on.. channel description are given below: Join us: @MachineLearning_DeepLearning_ai Channel for who have a passion for - * Artificial Intelligence * Machine Learning * Deep Learning * Data Science * Computer vision * Image Processing * Research Papers * Related Courses and Ebooks