Yesterday, 21:53 | view 👀:2 | 🙍 oneddl | redaktor: Baturi | Rating👍:

Machine Learning From Mathematical Foundations to Apps

Name: Machine Learning From Mathematical Foundations to Apps
Author: Baturi

Free Download Machine Learning From Mathematical Foundations to Apps

Download this premium online course featuring high-quality video training, step-by-step lessons, practical demonstrations, and expert instruction. With Machine Learning From Mathematical Foundations to Apps, you'll gain practical knowledge through structured learning, hands-on examples, and real-world applications. This comprehensive eLearning resource is ideal for students, professionals, freelancers, and lifelong learners looking to develop valuable skills and stay current with modern industry practices at their own pace.
Published 8/2026
Created by Ayoub Allali
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: Arabic | Duration: 29 Lectures ( 42h 32m ) | Size: 36.3 GB

Machine Learning: From Mathematical Foundations to Web, Mobile, and Desktop Applications

What you'll learn

⚡ Master essential mathematical foundations for machine learning and artificial intelligence algorithms
⚡ Perform data collection, web scraping, cleaning, and exploratory data analysis using NumPy and Python tools
⚡ Build, train, and evaluate supervised and unsupervised machine learning models from scratch
⚡ Integrate machine learning models into real-world web, mobile, and desktop applications

Requirements

❗ Python

Description

Master machine learning from core mathematical foundations to real-world applications across web, mobile, and desktop platforms. This course bridges theoretical concepts with practical implementation, taking you on an end-to-end journey to build, deploy, and scale intelligent AI systems.
You will begin by establishing essential math skills for data science, covering key principles required to understand modern machine learning algorithms. From there, gain hands-on experience using NumPy for efficient numerical computing, alongside techniques for data collection, web scraping, automation, data manipulation, and cleaning.
As you progress, master Exploratory Data Analysis to uncover insights, followed by feature engineering and feature selection to optimize model performance. You will dive deep into main AI subdomains and core machine learning paradigms, including supervised and unsupervised learning techniques.
Finally, turn theory into application by building end-to-end projects. Learn how to integrate machine learning models into web and mobile apps to process numerical, image, and time series data. Advance your skill set with real-time streaming using Apache Kafka, Big Data AI integration, recommendation systems, and computer vision.
Chapter 1: Math for Data science and AI
Chapter 2: Numerical Computing with NumPy
Chapter 3: Data Collection, Data Manipulation, and Data Cleaning
Chapter 4: Exploratory Data Analysis
Chapter 5: Features Engineering and Features Selection
Chapter 6: AI Subdomains and Machine Learning
Chapter 7: Linking AI models with mobile and web apps
Chapter 8: Advanced Projects

Who this course is for

⭐ Junior Data Scientists

Homepage

https://www.udemy.com/course/machine-learning-from-mathematical-foundations-to-apps

Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me

Rapidgator
pqvgx.Machine.Learning.From.Mathematical.Foundations.to.Apps.part1.rar.html
pqvgx.Machine.Learning.From.Mathematical.Foundations.to.Apps.part2.rar.html
pqvgx.Machine.Learning.From.Mathematical.Foundations.to.Apps.part3.rar.html
pqvgx.Machine.Learning.From.Mathematical.Foundations.to.Apps.part4.rar.html
pqvgx.Machine.Learning.From.Mathematical.Foundations.to.Apps.part5.rar.html
pqvgx.Machine.Learning.From.Mathematical.Foundations.to.Apps.part6.rar.html
AlfaFile
pqvgx.Machine.Learning.From.Mathematical.Foundations.to.Apps.part1.rar
pqvgx.Machine.Learning.From.Mathematical.Foundations.to.Apps.part2.rar
pqvgx.Machine.Learning.From.Mathematical.Foundations.to.Apps.part3.rar
pqvgx.Machine.Learning.From.Mathematical.Foundations.to.Apps.part4.rar
pqvgx.Machine.Learning.From.Mathematical.Foundations.to.Apps.part5.rar
pqvgx.Machine.Learning.From.Mathematical.Foundations.to.Apps.part6.rar
DDownload
pqvgx.Machine.Learning.From.Mathematical.Foundations.to.Apps.part1.rar
pqvgx.Machine.Learning.From.Mathematical.Foundations.to.Apps.part2.rar
pqvgx.Machine.Learning.From.Mathematical.Foundations.to.Apps.part3.rar
pqvgx.Machine.Learning.From.Mathematical.Foundations.to.Apps.part4.rar
pqvgx.Machine.Learning.From.Mathematical.Foundations.to.Apps.part5.rar
pqvgx.Machine.Learning.From.Mathematical.Foundations.to.Apps.part6.rar
FreeDL
pqvgx.Machine.Learning.From.Mathematical.Foundations.to.Apps.part1.rar.html
pqvgx.Machine.Learning.From.Mathematical.Foundations.to.Apps.part2.rar.html
pqvgx.Machine.Learning.From.Mathematical.Foundations.to.Apps.part3.rar.html
pqvgx.Machine.Learning.From.Mathematical.Foundations.to.Apps.part4.rar.html
pqvgx.Machine.Learning.From.Mathematical.Foundations.to.Apps.part5.rar.html
pqvgx.Machine.Learning.From.Mathematical.Foundations.to.Apps.part6.rar.html

No Password - Links are Interchangeable

⚠️ Dead Link ?
You may submit a re-upload request using the search feature. All requests are reviewed in accordance with our Content Policy.

Request Re-upload

In today's era of digital learning, access to high-quality educational resources has become more accessible than ever, with a plethora of platforms offering free download video courses in various disciplines. One of the most sought-after categories among learners is the skillshar free video editing course, which provides aspiring creators with the tools and techniques needed to master the art of video production. These courses cover everything from basic editing principles to advanced techniques, empowering individuals to unleash their creativity and produce professional-quality content.