Data science/ML/AI
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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 👉 https://rebrand.ly/bigdatachannels DMCA: @disclosure_bds Contact: @mldatascientist
نمایش بیشتر
شبکه:📈 تحلیل کانال تلگرام Data science/ML/AI
کانال Data science/ML/AI (@datascience_bds) در بخش زبانی انگلیسی بازیگری فعال است. در حال حاضر جامعه شامل 13 905 مشترک است و جایگاه 8 911 را در دسته فناوری و برنامهها و رتبه 28 819 را در منطقه الهند دارد.
📊 شاخصهای مخاطب و پویایی
از زمان ایجاد در невідомо، پروژه رشد سریعی داشته و 13 905 مشترک جذب کرده است.
بر اساس آخرین دادهها در تاریخ 30 اوت, 2026، کانال فعالیت پایداری دارد. در ۳۰ روز گذشته تغییر اعضا برابر 90 و در ۲۴ ساعت گذشته برابر 7 بوده و همچنان دسترسی گستردهای حفظ شده است.
- وضعیت تأیید: تأیید نشده
- نرخ تعامل (ER): میانگین تعامل مخاطب 7.35% است و در ۲۴ ساعت نخست پس از انتشار، محتوا معمولاً 2.05% واکنش نسبت به کل مشترکان کسب میکند.
- دسترسی پستها: هر پست به طور میانگین 1 022 بازدید دریافت میکند. در اولین روز معمولاً 285 بازدید جمعآوری میشود.
- واکنشها و تعامل: مخاطبان بهطور فعال حمایت میکنند؛ میانگین واکنش به هر پست 5 است.
- علایق موضوعی: محتوا بر موضوعات کلیدی مانند panda, learning, row, api, ethic تمرکز دارد.
📝 توضیح و سیاست محتوایی
نویسنده این فضا را محل بیان دیدگاههای شخصی توصیف میکند:
“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
👉 https://rebrand.ly/bigdatachannels
DMCA: @disclosure_bds
Contact: @mldatasci...”
به لطف بهروزرسانیهای پرتکرار (آخرین داده در تاریخ 31 اوت, 2026)، کانال همواره بهروز و دارای دسترسی بالاست. تحلیلها نشان میدهد مخاطبان بهطور فعال با محتوا تعامل دارند و آن را به نقطه اثرگذاری مهم در دسته فناوری و برنامهها تبدیل کردهاند.
13 905
مشترکین
+724 ساعت
+17 روز
+9030 روز
آرشیو پست ها
13 905
NVIDIA GTC is the most important conference for the era of AI and the metaverse. Join us online as we explore the innovations that will impact your life’s work with the power of AI, computer graphics, data science, and more.
The conference will run from September 19 -22, it is fully virtual and free to attend. Let innovation inspire your next idea, or solve your biggest challenge. With talks delivered by pioneers in their fields to relatable use cases and Deep Learning Institue training where you can gain NVIDIA certification, to Watch Parties where you can engage with your peers, you can be part of what comes next at GTC.
Register today.
13 905
THE LAND OF CONFUSION!!!😱😱
If you have ever tried to tackle a classification problem you must have considered confusion matrices as a metric for evaluating your model performance.
Confusion matrices🥲 can be quite confusing when encountered for the first time, But here's a trick.
1) Consider your target variable as the positive value in your matrix, while the other is negative.
2) Working with our photo above, we are more concerned about default, if default was correctly predicted is a True Positive
3)If default was incorrectly predicted, it's a False Positive
5) If not default was predicted to be not default correctly, it's a True Negative
6) If not default was incorrectly predicted as default, it's a False Negative
13 905
The Applied Data Science Lab is open for applications!
This program is oragnised by World Quant University.
The Applied Data Science Lab is a credentialed offering where students tackle real-world meaningful, and complex problems.
By completing a series of end-to-end data science projects, they build the wrangling, analysis, model-building, and communication skills to prepare them for success in data-centric careers in both the private and public sectors.
What you will cover:
⭐️Leverage Real-World Data
⭐️Access All the Tools you Need
⭐️Guides by Your Side
⭐️Develop The Skills to Build a Professional Portfolio
Link: Register for Free
13 905
Implementing DBSCAN in Python
DBSCAN (Density-Based Spatial Clustering of Applications with Noise) is a density-based unsupervised learning algorithm. It computes nearest neighbor graphs to find arbitrary-shaped clusters and outliers. Whereas the K-means clustering generates spherical-shaped clusters.
Learn more about working with it in this article
Link
13 905
Hello Dear😊!!!
Have you heard of The Python For Machine Learning International Bootcamp coming up on the 12th of September?
Link: Click Me
If you haven't, Global AI Hub is organizing a FREE ONE-MONTH INTENSIVE boot camp on python for machine learning.
This is a chance to improve yourselves in subjects such as Python😍, #machinelearning😍, #datascience😍, and #deeplearning😍!!!
In addition, you will be able to develop your portfolios ☺️ with the project work😃 that you will do from scratch under the guidance of mentors!!!😁
Does this look very interesting to you, click the link in this post to register
Link: Click Me
DEADLINE😱😱 : 7th September 2022
13 905
Efficient Python Tricks and Tools for
Data Scientists - By Khuyen Tra
GithubRepo : https://github.com/khuyentran1401/Efficient_Python_tricks_and_tools_for_data_scientists
Stars ⭐️: 675
Forked By: 202
13 905
Machine Learning Engineer Learning Path
Course Link
Hey there!!
Check out this Machine Learning Course from Google.
Here's what you can learn from it.
👌A Tour of Google Cloud Hands-on Labs
👌Google Cloud Big Data and Machine Learning Fundamentals
👌How Google Does Machine Learning
👌Launching into Machine Learning
👌TensorFlow on Google Cloud
👌Feature Engineering
👌Machine Learning in the Enterprise
👌Production Machine Learning Systems
😃And a lot of interesting machine learning topics
Course Link
#ai #ml #neural_networks #machine_learning #data_science #deep_learning
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Join @datascience_bds for more cool data science materials.
*This channel belongs to @bigdataspecialist group
13 905
ARTIFICIAL INTELLIGENCE FOR BEGINNERS
Azure Cloud Advocates at Microsoft are pleased to offer a 12-week, 24-lesson curriculum all about Artificial Intelligence.
In this curriculum, you will learn:
⭐️Different approaches to Artificial Intelligence, including the "good old" symbolic approach with Knowledge Representation and reasoning (GOFAI).
⭐️Neural Networks and Deep Learning, which are at the core of modern AI. It illustrates the concepts behind these important topics using code in two of the most popular frameworks - TensorFlow and PyTorch.
⭐️Neural Architectures for working with images and text. It covers recent models but may lack a little bit on the state-of-the-art.
⭐️Less popular AI approaches, such as Genetic Algorithms and Multi-Agent Systems.
Course Link
#ai #ml #neural_networks #machine_learning #data_science #deep_learning
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Join @datascience_bds for more cool data science materials.
*This channel belongs to @bigdataspecialist group
13 905
Types of Regression Analysis in Machine Learning
If you are looking to dive deeper into Regression Analysis for Machine Learning and understand how to choose the right type of regression analysis model for your project, here's an article that can help.
Link: https://www.projectpro.io/article/types-of-regression-analysis-in-machine-learning/410
13 905
👉Here's an amazing self explanatory infographics that depicts the SQL Join clause with each category quite easily.
📍Types of joins used very often includes -
✔️LEFT JOIN - All data from the left table but common data from the right table
✔️RIGHT JOIN - All data from right table and common data from the left table
✔️INNER JOIN - Only common data from both the tables
✔️OUTER JOIN - All the data from both the tables keeping null values with no common keys
✔️UNION - Stack table data on top of one another
✔️CROSS JOIN - All possible combinations of data from both the tables
13 905
Image Recognition for Beginners using CNN in R Studio
Rating ⭐️: 4.3 out of 5
Duration ⏰: 11 hours on-demand video
Students 👨🏫: 76,420
Created by: Start-Tech Academy
What you will learn:
⭐️Get a solid understanding of Convolutional Neural Networks (CNN) and Deep Learning
⭐️Build an end-to-end Image recognition project in R
⭐️Learn usage of Keras and Tensorflow libraries
⭐️Use Artificial Neural Networks (ANN) to make predictions
🔗 Course link
Note: Free coupon is inserted in URL. Courses are FREE FOR FIRST 1000 enrollments
#ai #ml #neural_networks #machine_learning #data_science #deep_learning
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Join @datascience_bds for more cool data science materials.
*This channel belongs to @bigdataspecialist group
13 905
PYTHON FOR MACHINE LEARNING COURSE
This course is brought to you by AI Business School with the contribution of Samsung SDS and Global AI Hub for free.
In this course, you’ll learn everything you need to know to:
😃 solve real-life problems with Python and transition to machine learning and AI.
😃Work on complex programming projects efficiently, to get the data in the shape that your program needs,
😃Learn how to prepare and process your data to understand the story it holds.
😃A certificate of completion
Course Link: Click Me!!!
13 905
Artificial Neural Networks (ANN) with Keras in Python and R
Rating ⭐️: 4.5 out of 5
Duration ⏰: 11 hours on-demand video
Students 👨🏫: 150,528
Created by: Start-Tech Academy
🔗 Course link
Linear Regression and Logistic Regression in Python
Rating ⭐️: 4.6 out of 5
Duration ⏰: 7.5 hours on-demand video
Students 👨🏫: 50,422
Created by: Start-Tech Academy
🔗 Course link
Support Vector Machines in Python: SVM Concepts & Code
Rating ⭐️: 4.7 out of 5
Duration ⏰: 6 hours on-demand video
Students 👨🏫: 80,685
Created by: Start-Tech Academy
🔗 Course link
Note: Free coupon is inserted in URL. Courses are FREE FOR FIRST 1000 enrollments
#ai #ml #neural_networks #machine_learning #data_science #deep_learning
➖➖➖➖➖➖➖➖➖➖➖➖➖➖
Join @datascience_bds for more cool data science materials.
*This channel belongs to @bigdataspecialist group
13 905
A WELL CONCISED INTRODUCTION TO REINFORCEMENT LEARNING
Reinforcement Learning (RL) is the science of decision making. It is about learning the optimal behavior in an environment to obtain maximum reward. This article will guide you through understanding RL and it's applications.
Link: Read Me👀
What you will learn:
👌How RL Works
👌Examples of RL
👌Benefits of RL
👌Challenges of RL
👌Future of RL
13 905
Harvard University Data Science Course 2021
Link: https://github.com/Harvard-IACS/2021-CS109A/tree/master/content
13 905
How to Write a Great Data Science Resume
Writing a resume for data science job applications is rarely a fun task, but it is a necessary evil. The majority of companies require a resume in order to apply to any of their open jobs, and a resume is often the first layer of the process in getting past the “Gatekeeper” — the recruiter or hiring manager.
Link: https://www.dataquest.io/blog/how-data-science-resume-cv/
13 905
Interesting SQL Resources You Must Read
1) 12 Best FREE SQL Courses and Certifications Online in 2022 [Bestseller]
Link: https://www.mltut.com/best-free-sql-courses/
2) How to Understand Long and Complex SQL Queries
Link: https://medium.com/codex/how-to-understand-long-and-complex-sql-queries-561dc87dff44
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Join @datascience_bds for more cool data science materials.
*This channel belongs to @bigdataspecialist group
