Introduction to Probability and Statistics for Engineers
List of probability and statistics cheatsheets by Stanford

🔗: https://stanford.edu/~shervine/teaching/cme-106/


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Statistical distributions cheatsheet

Accelerate Data Science Workflows with Zero Code Changes
by nvidia

Across industries, modern data science requires large amounts of data to be processed quickly and efficiently. These workloads need to be accelerated to ensure prompt results and increase overall productivity. NVIDIA RAPIDS offers a seamless experience to enable GPU-acceleration for many existing data science tasks with zero code changes. In this workshop, you’ll learn to use RAPIDS to speed up your CPU-based data science workflows.
By participating in this course, you will:
Understand the benefits of a unified workflow across CPUs and GPUs for data science tasks
Learn how to GPU-accelerate various data processing and machine learning workflows with zero code changes
Experience the significant reduction in processing time when workflows are GPU-accelerated

Prerequisites:
Basic understanding of data processing and knowledge of a standard data science workflow on tabular data
Experience using common Python libraries for data analytics
Tools, libraries, frameworks used: NVIDIA RAPIDS (cuDF, cuML, cuGraph), pandas, scikit-learn, and NetworkX


🆓 Free Online Course
⏰ Duration : More than 1 hour
🏃‍♂️ Self paced
✅ Certification available

Course Link


#datascience #nvidia 
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Completely unimportant but an interesting fact
we have 7777 subscribers ATM

Python for Data Science with Assignments

A Comprehensive and Practical Hands-On Guide to Learning Python for Beginners, Aspiring Developers, Self-Learners, etc.

Rating ⭐️: 4.7 out 5
Students 👨‍🎓 : 18046
Duration ⏰ : 9.5 hours on-demand video
Created by 👨‍🏫: Meritshot Academy

🔗 Course Link

⚠️ Its free for first 1000 enrollments only!


#python #datascience
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Practical Deep Learning For Coders

This 7-week course is designed for anyone with at least a year of coding experience, and some memory of high-school math. You will start with step onelearning how to get a GPU server online suitable for deep learningand go all the way through to creating state of the art, highly practical, models for computer vision, natural language processing, and recommendation systems.

🆓 Free Online Course
Rating⭐️: 4.1 out 5
Duration ⏰: 7 weeks
💻 Lecture Videos
🏃‍♂️ Self paced
Teacher 👨‍🏫 : Prof. Jeremy Howard

🔗 Course Link

#programming #deeplearning
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