Fraidoon Omarzai

AI/MLOps Practitioner | Content Creator | MSc AI @Aston Uni

[Khairallah AL-Awady @eng_khairallah1]

https://t.co/IgV4uj0iDx

[Matt Shumer @mattshumer_]

https://t.co/ivXRKXJvQg

[Damian Player @damianplayer]

SMBs don't need a full AI department. they need someone who understands their workflow deeply and can plug AI into the gaps.

the vertical expertise is the moat, not the technology. most people overcomplicate this.

[Tsarathustra @tsarnick]

Geoffrey Hinton: 200,000 people a year die of incorrect medical diagnoses in the United States. AI will fix that in the next 10 years.

[Pratham @Prathkum]

Hours of work in minutes with these 3 AI tools:

1. https://t.co/c3lsMU0HqQ
Generate images using AI

2. https://t.co/iJT5BIERuS
Takes virtual meeting notes in real time

3. https://t.co/d1GnPBx5gj
Create video with AI

4. https://t.co/ZiriMJYQpA
Writing is easy like Friday

[Colin Yurcisin @ColinYurcisin]

85% of millionaires are self-made.

No Luck. No Inheritance. No Talent.

They are millionaires because they have certain principles.

Here Are 7 Rich People's Principles That You Need To Follow:

[Mushtaq Bilal, PhD @MushtaqBilalPhD]

5 FREE tools to help you become a proficient academic researcher (plus FREE tutorials):

[Jean de Dieu Nyandwi @Jeande_d]

Graph Machine Learning Resources

The world is interconnected and graphs are everywhere. Deep learning is increasingly being applied in processing and analyzing graphs and alike datasets.

Here are some of the best resources for people interested in graph machine learning ⬇️⬇️⬇️

[Fraidoon Omarzai @frai2n]

I just published Python For Data Science And ML.
#Python #MachineLearning #DataScience
https://t.co/q3ratlnZ8o

[Jean de Dieu Nyandwi @Jeande_d]

The Ancient Secrets of Computer Vision, University of Washington

A computer vision introduction course that covers ordinary image processing techniques and deep learning techniques & architectures for vision.

Videos: https://t.co/SqnCS7LQa0

Website : https://t.co/QP5v32lH7N

[Jean de Dieu Nyandwi @Jeande_d]

Self driving cars full course - Tübingen Machine Learning

Self-driving cars is one of the major applications of AI. For anyone interested in driverless cars, here is a great and free course that covers "the most dominant paradigms of self-driving cars".

https://t.co/bvL18SrUnf

[Santiago @svpino]

Two helpful metrics to evaluate a machine learning model:

Sensitivity and Specificity.

Here is how they work:

1 of 7

[Sumanth @Sumanth_077]

5 Github repositories that will help you in your Data science and Machine Learning Journey: 🚀

[Santiago @svpino]

Colleges keep publishing their machine learning courses online.

100% free: ↓

- MIT 6.S191 Introduction to Deep Learning
- DS-GA 1008 Deep Learning
- UC Berkeley Full Stack Deep Learning
- UC Berkeley CS 182 Deep Learning
- Cornell Tech CS 5787 Applied Machine Learning

[Pauline Cx @Pauline_Cx]

After 8 years working as a data science consultant for @IBM , I learned a lot and I want to share with you:

My 3 simple steps recipe to become a data superhero🦸‍♀️🦸🦸‍♂️:

All 3 steps below in the thread ����

[Avi Kumar Talaviya @avikumart_]

The data and ML field is growing at the speed of a rocket🌏🚀

Here are the 8 blogs and newsletter to keep up with the latest advancements👍👇

🧵👇

[Jean de Dieu Nyandwi @Jeande_d]

Pythae - a great library that provides unified implementations of normal & variational autoencoders(VAE). The library allows inference & training on custom data(with a custom encoder and decoder). Also provides notebooks that walkthrough available models.

https://t.co/2iSm0JTHOT

[Jean de Dieu Nyandwi @Jeande_d]

First Principles of Computer Vision, Columbia University

Really nice lectures on the physical and mathematical foundations of computer vision.

140 videos that you can watch at your pace. Slides are also provided to follow along ⬇️⬇️

[Santiago @svpino]

My collection of Machine Learning books keeps growing!

If you had to pick only one, which one would you keep?