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Data science and machine learning hub Python, SQL, stats, ML, deep learning, projects, PDFs, roadmaps and AI resources. For beginners, data scientists and ML engineers πŸ‘‰ https://rebrand.ly/bigdatachannels DMCA: @disclosure_bds Contact: @mldatascientist

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Programming, data science, ML - free courses by Big Data SpecialistTarmoq:Programming, data science, ML - free courses by Big Data SpecialistHindiston28 819Texnologiyalar & Aralashmalar8 911

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Data science/ML/AI (@datascience_bds) Ingliz til segmentidagi kanali faol ishtirokchi. Hozirda hamjamiyat 13 905 obunachidan iborat bo'lib, Texnologiyalar & Aralashmalar toifasida 8 911-o'rinni va Hindiston mintaqasida 28 819-o'rinni egallagan.

πŸ“Š Auditoriya koβ€˜rsatkichlari va dinamika

Π½Π΅Π²Ρ–Π΄ΠΎΠΌΠΎ sanasidan buyon loyiha tez oβ€˜sib, 13 905 obunachiga ega boβ€˜ldi.

30 Avgust, 2026 dagi oxirgi ma’lumotlarga koβ€˜ra kanal barqaror faollikka ega. Oxirgi 30 kunda obunachilar soni 90 ga, soβ€˜nggi 24 soatda esa 7 ga oβ€˜zgardi va umumiy qamrov yuqori darajada qolmoqda.

  • Tasdiqlash holati: Tasdiqlanmagan
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β€œData science and machine learning hub Python, SQL, stats, ML, deep learning, projects, PDFs, roadmaps and AI resources. For beginners, data scientists and ML engineers πŸ‘‰ https://rebrand.ly/bigdatachannels DMCA: @disclosure_bds Contact: @mldatasci...”

Yuqori yangilanish chastotasi (oxirgi ma’lumot 31 Avgust, 2026 da olingan) sababli kanal doimo dolzarb va katta qamrovli boβ€˜lib qoladi. Analitika auditoriya kontent bilan faol hamkorlik qilishini, uni Texnologiyalar & Aralashmalar toifasidagi muhim ta’sir nuqtasiga aylantirishini koβ€˜rsatadi.

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Postlar arxiv
Data science/ML/AI
Data science/ML/AI
13 907
Lectures for UC Berkeley CS 182: Deep Learning Spring 2021 🎬 66 videos ⏰ 26 hours https://www.youtube.com/playlist?list=PL_iWQOsE6TfVmKkQHucjPAoRtIJYt8a5A βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

Data science/ML/AI
Data science/ML/AI
13 907
cheatsheet-supervised-learning.pdf6.41 KB

Data science/ML/AI
Data science/ML/AI
13 907
photo content

Data science/ML/AI
Data science/ML/AI
13 907
photo content

Data science/ML/AI
Data science/ML/AI
13 907
πŸ”— Book link #machinelearning #ml #datascience βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– Join @coding_interview_preparation for more. *This channel belo
πŸ”— Book link #machinelearning #ml #datascience βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– Join @coding_interview_preparation for more. *This channel belongs to @bigdataspecialist group

Data science/ML/AI
Data science/ML/AI
13 907
The Periodic Table Of Data Science
The Periodic Table Of Data Science

Data science/ML/AI
Data science/ML/AI
13 907
Deep Learning Do It Yourself! This site collects resources to learn Deep Learning in the form of Modules available through the sidebar on the left. https://dataflowr.github.io/website/ βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

Data science/ML/AI
Data science/ML/AI
13 907
Graph ML and deep learning courses This is another post on your request. Other courses you requested will be shared in following days. Geometric Deep learning course AMMI21 πŸ‘¨β€πŸ« Teachers: Michael M. Bronstein, Joan Bruna, Taco Cohen, Petar VeličkoviΔ‡ πŸ“š12 lectures, 2 tutorials, and 4 seminars This course follows GDL BOOK πŸ”— Course link: https://geometricdeeplearning.com/lectures/ Machine Learning for Graphs and Sequential Data (MLGS) by Stephan GΓΌnnemann Awesome course covering in depth generative models, robustness, sequential data, clustering, label propagation, GNNs, and more πŸ”— Course link: https://www.in.tum.de/daml/teaching/mlgs/ Stanford CS224W course on graph ML A legendary Stanford CS224W course on graph ML now releases videos on YouTube for 2021 🎬 60 Videos ⏰ 30h πŸ”— Course link Python For Data Science (Udemy) This course specifically created for Data Science / AI / ML / DL. It covers BASICS PYTHON ONLY Rating ⭐️: 4.1 out of 5 Students πŸ‘¨β€πŸŽ“: 65,523 students Duration ⏰: 3hr 55min of on-demand video πŸ”— Course link Deep Learning Prerequisites: The Numpy Stack in Python V2 (Udemy) Rating ⭐️: 4.6 out of 5 Students πŸ‘¨β€πŸŽ“: 34,785 Duration ⏰: 1hr 59min of on-demand video πŸ”— Course link There is also this cool blogpost by GordiΔ‡ Aleksa: How to get started with Graph Machine Learning And one early access version book: Graph Powered Machine Learning by: Allesandro Negro πŸ”— Book link #graphML #ML #machinelearning #deeplearning #python βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– πŸ‘‰Join @bigdataspecialist for moreπŸ‘ˆ

Data science/ML/AI
Data science/ML/AI
13 907
Rules of Machine Learning: Best Practices for ML Engineering Author: Martin Zinkevich This document is intended to help those with a basic knowledge of machine learning get thebenefit of best practices in machine learning from around Google. πŸ‘‰ 43 ML Rules to follow πŸ”— http://martin.zinkevich.org/rules_of_ml/rules_of_ml.pdf βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

Data science/ML/AI
Data science/ML/AI
13 907
Machine Learning for Healthcare (Spring 2019) By Massachusetts Institute of Technology (MIT) 🎬 25 video lessons ⏰ 33 hours πŸ‘¨β€πŸ« Prof. Peter Szolovits πŸ‘¨β€πŸ« Prof. David Sontag https://www.classcentral.com/course/mit-opencourseware-machine-learning-for-healthcare-spring-2019-40955/classroom #ml #machinelearning #healthcare #MIT βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

Data science/ML/AI
Data science/ML/AI
13 907
ML and NLP Research Highlights of 2021 by Sebastian Ruder This post summarizes progress across multiple impactful areas in ML and NLP in 2021. Contents: Universal Models Massive Multi-task Learning Beyond the Transformer Prompting Efficient Methods Benchmarking Conditional Image Generation ML for Science Program Synthesis Bias Retrieval Augmentation Token-free Models Temporal Adaptation The Importance of Data Meta-learning https://ruder.io/ml-highlights-2021/ βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– Join @datascience_bds for more cool DS/ML materials.

Data science/ML/AI
Data science/ML/AI
13 907
Free 10-Hour Machine Learning Course by freecodecamp Section 1: Basics of Machine Learning Section 2: Linear Regression & Regularization Section 3: Logistic Regression & Performance Metrics Section 4: Support Vector Machine Section 5: PCA Section 6: Learning Theory Section 7: Decision Trees & Random Forest Section 7.5: Learning more algorithms and building more projects Section 8: Unsupervised Learning Algorithms Section 9: Building Applications πŸ”— Course link: https://www.freecodecamp.org/news/free-machine-learning-course-10-hourse/ 10-hour youtube video: https://www.youtube.com/watch?v=NWONeJKn6kc βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– Join @datascience_bds for more cool DS/ML materials.

Data science/ML/AI
Data science/ML/AI
13 907
Data Science: Python for Data Analysis 2022 Full Bootcamp Rating ⭐️: 4.3 out of 5 Students πŸ‘¨β€πŸ«: 104,287 Created by: Ahmed Ibrahim and SDE OCTOPUS | AI πŸ”— Course link Note: Free coupon is inserted in URL. Number of free spots is limited to 1000. Once this number is reached, coupon won't be valid anymore. #python #datanalysis #datascience βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

Data science/ML/AI
Data science/ML/AI
13 907
Introduction to Data Science by University of Washington 🎬 95 video sessions ⏰ Duration: 16h πŸ‘¨β€πŸ« Instructor: Bill Howe, Ph
Introduction to Data Science by University of Washington 🎬 95 video sessions ⏰ Duration: 16h πŸ‘¨β€πŸ« Instructor: Bill Howe, PhD βœ… Completely free πŸ”— Course link #datascience #ds #ml #washingtonuniversity βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– πŸ‘‰Join @bigdataspecialist for moreπŸ‘ˆ

Data science/ML/AI
Data science/ML/AI
13 907
Introduction to Machine Learning (Fall 2020) By Massachusetts Institute of Technology, MIT Length: 13 weeks πŸ”— Course link #m
Introduction to Machine Learning (Fall 2020) By Massachusetts Institute of Technology, MIT Length: 13 weeks πŸ”— Course link #ml #machinelearning #datascience #MIT βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group

Data science/ML/AI
Data science/ML/AI
13 907
Neural Networks with JavaScript Succinctly πŸ”— Book PDF #javascript #datascience #neuralnetworks βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– Join @programmi
Neural Networks with JavaScript Succinctly πŸ”— Book PDF #javascript #datascience #neuralnetworks βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– Join @programming_books_bds for more

Data science/ML/AI
Data science/ML/AI
13 907
Mathematics for Machine Learning Published by Cambridge University Press (published April 2020) https://mml-book.com PDF: htt
Mathematics for Machine Learning Published by Cambridge University Press (published April 2020) https://mml-book.com PDF: https://mml-book.github.io/book/mml-book.pdf

Data science/ML/AI
Data science/ML/AI
13 907
Get ready for second annual #NLPSummit by John Snow Labs. Week One comes with 50+ unique sessions with a special track on #NL
Get ready for second annual #NLPSummit by John Snow Labs. Week One comes with 50+ unique sessions with a special track on #NLP in #Healthcare. Week Two - beginner to advanced training workshops with certification. Hear from industry leaders at NASA, Vonage, Zillow, Merck, Amazon, Walmart Labs, Booz Allen Hamilton, Morgan Stanley, Salesforce, Roku, Zillow and many more! Free registration: https://www.nlpsummit.org/2021-events/ #ML #AI #digitalhealthcare #dataengineer #deeplearning

Data science/ML/AI
Data science/ML/AI
13 907
The People + AI Guidebook by Google The People + AI Guidebook is a set of methods, best practices and examples for designing with AI. https://pair.withgoogle.com/guidebook/

Data science/ML/AI
Data science/ML/AI
13 907
Deep learning at Oxford 2015 🎬 16 lessons ⏰ 15 hours https://www.youtube.com/playlist?list=PLE6Wd9FR--EfW8dtjAuPoTuPcqmOV53Fu #deeplearning #oxford βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž– Join @datascience_bds for more cool data science materials. *This channel belongs to @bigdataspecialist group