AI, Data Science, Machine Learning & IOT
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Posts from world's largest datascientists community and latest trends learning articles in Machine learning, deep learning, AI, IOT and tools
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Join us on LinkedIn as well. There will be LinkedIn specific job posts.
@indiareferraljobs
πŸ‘‡πŸ‘‡πŸ‘‡πŸ‘‡
https://www.linkedin.com/groups/13622969
Introduction to Probability for Data Science

Stanley H. Chan
An undergraduate textbook on probability for data science.
πŸ’ΈFREE BOOK
#probability
Join @coursenuggets to get it
This MIT CS class teaches you things that all the other classes don't teach you, like...
πŸ–₯ Shell tools and scripting
πŸ–₯Vim
πŸ–₯Data wrangling
πŸ–₯Command-line environment
πŸ–₯Version control
#shell #computerscience #beginners
πŸ†“Course πŸ”—Link πŸ”—
πŸ“’Lecture Notes: πŸ”—Link πŸ”—
Join @coursenuggets for more
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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.
#computervision
@kdnuggets @datasciencechats
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
Data Science for Beginners - A Curriculum by MICROSOFT

A project-based data science curriculum for beginners with great lessons, notes, and assignments.

10 weeks, 20 lessons, using Python.

#beginner #datascience
@kdnuggets @datasciencechats
Join @coursenuggets for more
https://github.com/microsoft/Data-Science-For-Beginners
Forwarded from Fazal
First thing if you are a beginner and have decided you want to learn Data Science then know that it is a journey (6 months - 1 year at least) and not a 1 month thing where u do some courses and you are a data scientist. There are different fields in Data Science that you have to first get familiar and strong in basics as well as do hands-on to get the abilities that are required to function in a full time job opportunity. Then further delve into advanced implementations.

There are plenty of roadmaps and online content both paid and free that you can follow. In a nutshell. A few essential things that will be necessary and in no particular order that will at least get your data science journey started are below:

Basic Statistics, Linear Algebra, calculus, probability
Programming language (R or Python) - Preferably Python if you rather want to later on move into a developer role instead of sticking to data science.
Machine Learning - All of the above will be used here to implement machine learning concepts.
Data Visualisation - again it could be simple excel or via r/python libraries or tools like Tableau,PowerBI etc.

This can be overwhelming but again its just an indication of what lies ahead. So most important thing is to just START instead of just contemplating the best way to go about this. Since lot of things can be learnt independently as well in no particular order.

You can use the below Sources to prepare your own roadmap:
@coursenuggets - some free courses from here
@kdnuggets - check & search in this channel with #beginner
Python - https://bit.ly/38vaKjc
Kaggle - https://www.kaggle.com/learn
Udemy - https://bit.ly/3wmpvjH
Coursera - https://bit.ly/3o1R7ab
Highly recommended Python Course
Instructor: Dr. Angela Yu
About Author: Companies such as twitter,Facebook,Google have invited her to teach their employees
πŸ’ΈOffer Price on UdemyπŸ’Έ: 87% off until Limited time Hurry Up
Enrolled: 250k+♨️
Average Rating: 4.7/5♨️
Course Link: HERE🀏
Join @coursenuggets for more
Join @coursenuggets for more
Black Friday sale is up on
Udemy. Hurry up Offer Link
Intro to AI course materials are available by University Of California - Berkeley:

1. Lecture slides and videos
2. Homework assignments with solutions
3. Section Handouts
4. Specs for the Pacman Projects
5. Source files and PDFs of past Berkeley CS188 exams
#freecourse #AI #artificialintelligence
@kdnuggets @datasciencechats
LINK: https://bit.ly/31sEHke
Join @coursenuggets for more
Role:
Openings for Python developers & Data Science lead
Company: HCL Technologies
Notice Period: Positions open for immediate or quick joiners only.
Location: PAN India( preferably Hyderabad, Bangalore other locations fine too)

Send relevant profiles to indiareferraljobs@gmail.com with subject containing role and notice period

Join @indiareferraljobs for more
Forwarded from Nuggets Network
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