Stats for Datascience and Machine Learning

Actually, here are some sites where I have found some of the highest quality, free machine learning educational content:

🔹GitHub
🔹Kaggle
🔹Coursera
🔹YouTube
🔹Papers with Code
🔹fast.ai
🔹PyImageSearch
🔹Machine Learning Mastery
🔹Wikipedia

In the last 10 years, AI-related PhDs have gone from 14.2% of the total of CS PhDs granted in the U.S.  to around 23% as of 2019, according to the CRA survey. At the same time, other previously popular CS PhDs have declined in popularity, including networking, software engineering, and programming

GenoML: Automated Machine Learning for Genomics
pdf: arxiv.org/pdf/2103.03221…
abs: arxiv.org/abs/2103.03221
project page: genoml.com

How to Automate Exploratory Data Analysis (EDA) ? - Part 1 https://youtu.be/tMquUTJ6yXU


You should know when you want to expedite data analysis 🧐 I strongly recommend you to use in your real world problems. This module will help you a lot

This website will help you learn probability and statistics, the most important topics in math for machine learning!

seeing-theory.brown.edu


Don’t forget to add in bookmarks 🔖

Deep learning activation functions made cool and cute

Learning path to mastering data engineering:

🔸 SQL
🔸 Git
🔸 Bash
🔸 PostgreSQL
🔸 Java, Scala
🔸 Python
🔸 Docker
🔸 AWS
🔸 Airflow
🔸 Kafka
🔸 Spark
🔸 Kubernetes

Learning path to mastering MLOps:

🔸 Linux
🔸 Python
🔸 Docker
🔸 AWS
🔸 Terraform
🔸 Kubernetes
🔸 Prometheus
🔸 Grafana
🔸 Kubeflow
🔸 CDK
🔸 Travis CI and Herokuapp
🔸 ML Flow
🔸 Airflow


Many more and listed few only for idea

#! File can be opened in various modes

r = read - Default mode
r+ = read + write
w = write
a = append
w+ = write + read
a+ = append + read
X - W ==?


rb - read only binary format
wb - write only binary format
ab - append only binary format
rb+ - read and write only in binary format
wb+ -write and read only in binary format
ab+ - append and read only mode


#! file basic operations
open
close

#! Check permissions for file
readable
writable
closed

#! read functions
read
readline
readlines

#! write functions
write
writelines

#! Postion of file pointes
seek
seekable
tell

Getting started with PyTorch for deep learning? Cover these fundamentals first:

🔸Tensors
🔸Datasets & DataLoaders
🔸Transforms
🔸Build Model
🔸Automatic Differentiation
🔸Optimization Loop
🔸Save, Load, & Use Model

always read official docs for gain more knowledge
https://pytorch.org/tutorials/beginner/basics/intro.html

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