Google Drives (E-Books, Courses, summaries and Interview Preparation)

► My Google Drive >>>> link.

► A big Drive in data science >>>> link

► Sites have millions of E-books that you can download any of them for free >>>> PDF_Drive, Dokumen_Pub

► Now, you can read the paid blogs on Medium for free >>>> freedium

Roadmap

This roadmap related to Data Science, Machine Learning, Deep Learning, Data Engineer and Big Data Engineer. Pick up this roadmap from here
You can take a peek at this doc, too.

You have to learn the maths before ML and DL

One of the most well known platform in the maths: Khan Academy
See John Krohn sessions from here
A nice site for learn the math: maths is fun
Arabic sourse on YouTube from here

Arabic Courses on YouTube

For ML >>> Mustafa Othman and Hesham Asem
For Python >>> Codzilla, Elzero, Python part1 and part2
For SQL >>> MS SQL Server
For Git and GitHub >>> Git&GitHub
For Docker and Kubernetes >>> Docker

ITI Material and Preparation

IQ Preparation
https://iqplus.adel.dev/
English Preparation
https://m.englishteststore.net/
AI Preparation
https://drive.google.com/file/d/1WB_i767VS7d7h24zHCnYkSaiqcyFGifn/view?usp=share_link

IQ Books
https://drive.google.com/drive/folders/1Z1gcSMeU3Qa7txQFgGtrW43HGNoZ6pxg?fbclid=IwAR23T0H7GjjqF1Dm37ut6kJJnqAuzfVuJTWII4HNVl3Mb0QnlcHbj6hGV8g
ITI Books Material
https://drive.google.com/drive/folders/1G-3t8bU8-xo3yOsPfUhwvUsa32mrB694
ITI Mansoura 41
https://drive.google.com/drive/folders/1vl14acjmHok8l-OkoQ2erOZkGJdRlE7q
.Net and Cloud Technology
https://mega.nz/folder/cLwmRBIY#fY_FDTPKkjD5odU-oQ4PBw
Other Folder
https://drive.google.com/drive/mobile/folders/14gzXRhSY7SU0mzWhs0L-AZsxPGWlloR4?fbclid=IwAR1O6k8H5DZTUft9oVhRWvUBfDIaqcmLnSUSryadoK3apqsvuqsBPVOcooI

Some YouTube channels in English to teach data science and artificial intelligence (An alternative to paid courses)

Murtazas: One of the best channels for Computer Vision>>>> link

Python Simplified: link

Krish Naik: The best channel out there >>>> link

Nicholas Renotte: A very distinguished channel, especially in the computer vision >>>> link

Pysource: The great channel in the computer Vision >>>> link

codebasics: One of the best channels in Data Science and NLP >>>> link

CodeEmporium: A very distinguished channel in Data science >>>> link

Python Engineer: A distinguished channel with its advanced topics >>>> link

igitalSreeni: A channel specialized in computer vision and segmentation, and the most important thing in the channel is coding, practical, not theoretical, and it is presented by a very distinguished university professor >>>> link

CODE MENTAL: link

Lazy Tech: link

Normalized Nerd: Very very special channel >>>> link

Weights & Biases: link

The AI Guy: link

AI Sciences: Good and varied topics >>>> link

AIEngineering: link

Abhishek Thakur: link

Free courses

200 Udacity free courses on ML and Data Science >>>> link
Learn from georgia-tech on Udacity >>>> link

Free Coursera Courses for Data Science, you can check these 38 Completely Free Data Science Coursera Courses >>>> link

70 Free Online Courses for Data Science to Advance Your Skills in 2022 >>>> link

AI Courses and Certifications from Intel >>>> link

AWS Cloud >>>> link1 >>>> link2
For Courses and Questions and Answers to prepare well for the exam, see my blog post on Dev or on Medium

See my Google Drive for more courses from here

Important Websites and Tools for AI

Deep Learning:

DL Book >>> https://udlbook.github.io/udlbook/
GitHb-like site for ML workflow >>> https://dagshub.com/

Computer Vision:

Datasets and ralated-YOLO Requirements >>> https://roboflow.com/
Projects Store >>> https://store.augmentedstartups.com/
Open Images Datasets >>> https://github.com/augmentedstartups/OIDv4_ToolKit
Open Data Annotation Platform >>> https://www.cvat.ai/
Annotation Tool for segmentation and Object Detection >>> https://github.com/NaturalIntelligence/imglab

Model Training:

Nebius is a cloud platform specifically designed to train AI models. They provide you with the latest and greatest GPUs such as the NVIDIA H100 to manage intensive AI workloads.

Accelerate your training and inference workloads with dedicated GPU instances powered by NVIDIA’s H100 Tensor Core available at Latitude.sh's platform.

ori.co >> The most cost effective, easy-to-use, and customizable AI native GPU platform. Deploy and manage GPU VMs on-demand..

Competetions, Datasets and Real-world problems to gain experience:

Kaggle
Zindi
Omdena
lablab
techgig
fellowship
DrivenData
Docker Projects in Data Science >>> Link

Learn how to type blindly

TypingClub
MonkeyType
Keybr
TypeTest
TheTypingCat

Create your own resume and evaluate it

FlowCV
Rezi
Canva
Kickresume
ResumeNow
Intellegent CV for Android
Template on my Drive
resume quality score
CV review
Resume Worded

Practice live interviews with peers

Interview Warmup
Pramp

A Repo guide for Machine Learning Technical Interviews in FAANG Companies >> Machine-Learning-Interviews

Job Search

trabajo
Arabic Countries
Wazzuf
SupportFinity
foundit
modulus
Excel Sheets for Tech Companies

For anyone working in technology who wants to travel and work in large companies



Manara >>> This simply allows you to join a large tech company. You apply, enter the learning path, have technical and behavioral mock interviews, and then access the career platform.

SquadIO >>> This is a company that hires people for companies, most of which are in the Gulf, most of the work is remote and payment is in dollars. You apply to them and pass a code test, then a technical interview, and then you enter their pool until they find a company that requires someone with your technical skills, and they connect you with each other and you enter the interview.

Imagine >>> This is a company that hires people for companies in Europe in general and Germany in particular, and they can help with the process with any company even if it is not through them. Their work is remote, relocate, or onsite. You fill out your information and there is an exam.