Artificial Intelligence
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This Channel is to spread knowledge on Artificial Intelligence.❤️
We are here to simplify and understand everything about Artificial Intelligence.🤖
Join us in this mission.❤️
Let’s Grow Together.😍

eduai.web@gmail.com
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This is damn cool!😍😎

GitHub with OpenAI (Elon Musk's Company) just released an AI Pair Programmer!

"With GitHub Copilot, you can get suggestions for whole lines or entire functions inside your editor"

✅ Get suggestions for whole lines or entire functions.

✅ Comment your logic, CoPilot adds code!

✅ Autofill for repetitive code.

✅ Works with a large variety of languages and frameworks

✅ Tests without the toil.

✅ Shows the alternatives.

✅ Skip the docs and stop searching for examples. GitHub Copilot helps you stay focused right in your editors.

Meet GitHub Copilot - your AI pair programmer. https://copilot.github.com

@Artificial_intelligence_ai

To learn AI from basics:
YouTube: https://www.youtube.com/c/asifimmanad

Telegram: https://t.me/Artificial_intelligence_AI
FREE ONLINE COURSES

Browse the latest free online courses from HARVARD University including "CS50's Introduction to Game Development", "CS50's Web Programming with Python and JavaScript" , "CS50's Mobile App Development with React Native" and so on....

1. join👉@Artificial_intelligence_ai

2. https://online-learning.harvard.edu/catalog/free

@Artificial_intelligence_ai

To learn AI from basics:
YouTube: https://www.youtube.com/c/asifimmanad

Telegram: https://t.me/Artificial_intelligence_AI
CS230 Deep Learning Lectures | Stanford Engineering

Deep Learning is one of the most highly sought after skills in AI. In this course, you will learn the foundations of Deep Learning, understand how to build neural networks, and learn how to lead successful machine learning projects. You will learn about Convolutional networks, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, and more.

1. join👉@Artificial_intelligence_ai

2. https://www.newworldai.com/cs230-deep-learning-stanford-engineering/?fbclid=IwAR2BXdgS70N5wVeTdnevVL4eF_L3_l67vBetQkCOIoEazDZLeSx5TJUp6t0

@Artificial_intelligence_ai

To learn AI from basics:
YouTube: https://www.youtube.com/c/asifimmanad

Telegram: https://t.me/Artificial_intelligence_AI
Artificial Intelligence pinned «Getting started with AI and ML: Roadway: Watch this video to start now: https://youtu.be/p8IohflXesU»
Which python framework do you feel comfortable with when it comes to machine learning and deep learning?
Anonymous Poll
49%
TensorFlow
25%
PyTorch
11%
Keras
5%
Caffe
2%
Theano
3%
MXNet
6%
Other
We are looking for Tableau Developer who can joins us immediately at EXL Analytics. If you are eligible or would like to refer someone, please share your profile @ Akashna.Sharma@exlservice.com / Vipul.Sahni@exlservice.com
About the Job Role: Tableau Developer
Designation: Consultant I / II / Manager
Work Timings: 12 pm- 9 pm
Location : Gurgaon
Job Responsibilities :
· Hands on with Tableau Desktop (dashboard creation, report authoring and troubleshooting, data source management).
· Create and edit SQL queries within Tableau to build calculated fields.
· Create interactive filters, parameters and calculations for preparing dashboards and worksheets in Tableau.
· Build and publish interactive dashboards on Tableau Server. Collaborate with MDM programmers and QA analysts to test, clean, and standardized data to meet the business requirements.
· Experienced in the extraction and manipulation of data to conduct analysis to develop understanding on multiple data systems (BI analytics, data blending, data warehousing, data ETL, etc.)
· Efficient in process automation and standardization.
· Ensure all deliverables meet client expectations in terms of scope, speed & quality.
· Strong problem-solving skills - the ability to ask the right questions, formulate a comprehensive set of hypothesis, identify significant factors, and adopt the appropriate solution framework need-based product solutions
· Experience working directly with business analysts or business sponsors to gather and validate functional requirements and provide the design specifications
Technical Trainer, Content Creator required for Products Company in Pune.
Skills: Python, DevOps, Good Communication skills
3 to 10 years of experience in IT
Only for Pune location.
asif.immanad@amdocs.com
https://youtu.be/1_sCX6da3s0
New Video
How to improve Machine Learning Model accuracy? What is feature engineering?
How to use Correlation Coefficient Matrix?

All answers in this video watch out now!!!
Open source release of COVID-Net CXR-3, our third-generation deep neural network tailored for COVID-19 screening using chest x-ray (CXR) imaging, as part of the COVID-Net initiative!

Trained using over 19,000 CXR images from a multinational cohort of over 16,656 patient cases in 51 countries (largest, most diverse of its kind), COVID-Net CXR-3 achieves state-of-the-art accuracy, sensitivity, and PPV of 98.3%, 97.5%, and 99%, respectively. Furthermore, we demonstrated state-of-art accuracy on predicting the severity of a COVID-positive patient's condition to illustrate its multi-faceted utility across different clinical decision support tasks.

Paper: https://arxiv.org/abs/2110.06063
Repo: https://github.com/lindawangg/COVID-Net/blob/master/docs/models.md
COVID-Net portal: http://www.covid-net.ml

@Artificial_intelligence_ai

To learn AI from basics:
YouTube: https://www.youtube.com/c/asifimmanad

Telegram: https://t.me/Artificial_intelligence_AI
The fashion industry is on the verge of an unprecedented change. The implementation of machine learning, computer vision, and artificial intelligence (AI) in fashion applications is opening lots of new opportunities for this industry. This paper provides a comprehensive survey on this matter, categorizing more than 580 related articles into 22 well-defined fashion-related tasks. Such structured task-based multi-label classification of fashion research articles provides researchers with explicit research directions and facilitates their access to the related studies, improving the visibility of studies simultaneously. For each task, a time chart is provided to analyze the progress through the years. Furthermore, we provide a list of 86 public fashion datasets accompanied by a list of suggested applications and additional information for each.
link: https://arxiv.org/abs/2111.00905



@Artificial_intelligence_ai

To learn AI from basics:
YouTube: https://www.youtube.com/c/asifimmanad

Telegram: https://t.me/Artificial_intelligence_AI
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