Understanding Algorithmic Foundations of AI and ML --> [ DevCourseWeb ]
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Torrent File Contents
Understanding Algorithmic Foundations of AI and ML --> [ DevCourseWeb ]
Get Bonus Downloads Here.url
~Get Your Files Here !/1. Introduction.mp4
~Get Your Files Here !/2. Supervised Learning.mp4
~Get Your Files Here !/3. Unsupervised Learning.mp4
~Get Your Files Here !/4. Reinforcement Learning.mp4
~Get Your Files Here !/5. Deep Learning.mp4
~Get Your Files Here !/6. Evolutionary Algorithms.mp4
~Get Your Files Here !/7. Solving Problems With Chaos Theory.mp4
~Get Your Files Here !/8. Corporate IT Land.mp4
~Get Your Files Here !/9. SWARM Algorithms.mp4
~Get Your Files Here !/Bonus Resources.txt
Get Bonus Downloads Here.url
- 182 Bytes
~Get Your Files Here !/1. Introduction.mp4
- 162.84 MB
~Get Your Files Here !/2. Supervised Learning.mp4
- 367.91 MB
~Get Your Files Here !/3. Unsupervised Learning.mp4
- 30.2 MB
~Get Your Files Here !/4. Reinforcement Learning.mp4
- 489.39 MB
~Get Your Files Here !/5. Deep Learning.mp4
- 291.5 MB
~Get Your Files Here !/6. Evolutionary Algorithms.mp4
- 243.64 MB
~Get Your Files Here !/7. Solving Problems With Chaos Theory.mp4
- 248.99 MB
~Get Your Files Here !/8. Corporate IT Land.mp4
- 287.06 MB
~Get Your Files Here !/9. SWARM Algorithms.mp4
- 465.38 MB
~Get Your Files Here !/Bonus Resources.txt
- 386 Bytes
Torrent Description
[ DevCourseWeb.com ] Understanding Algorithmic Foundations of AI & ML
If You Need More Stuff, kindly Visit and Support Us -->> https://DevCourseWeb.com
Published 3/2024
Created by Richard Aragon
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 9 Lectures ( 2h 32m ) | Size: 2.52 GB
How To Understand The Algorithms That Make Machines Learn
What you'll learn:
Differentiate between Core Algorithm Types: Explain the distinctions between supervised, unsupervised, and reinforcement learning algorithms.
mplement Regression and Classification: Design and implement algorithms for regression and classification tasks.
Utilize Decision Trees and Random Forests: Construct decision trees and random forests.
Explain Neural Network Concepts: Describe the key components of neural networks (layers, neurons, activation functions.
Evaluate and Optimize Algorithms: Apply performance metrics (e.g., accuracy, precision, F1-score) to evaluate algorithms.
Requirements:
Familiarity with Python is highly encouraged.
If You Need More Stuff, kindly Visit and Support Us -->> https://CourseWikia.com
Get More Tutorials and Support Us -->> https://FreeCourseWeb.com
We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace...
If You Need More Stuff, kindly Visit and Support Us -->> https://DevCourseWeb.com
Published 3/2024
Created by Richard Aragon
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 9 Lectures ( 2h 32m ) | Size: 2.52 GB
How To Understand The Algorithms That Make Machines Learn
What you'll learn:
Differentiate between Core Algorithm Types: Explain the distinctions between supervised, unsupervised, and reinforcement learning algorithms.
mplement Regression and Classification: Design and implement algorithms for regression and classification tasks.
Utilize Decision Trees and Random Forests: Construct decision trees and random forests.
Explain Neural Network Concepts: Describe the key components of neural networks (layers, neurons, activation functions.
Evaluate and Optimize Algorithms: Apply performance metrics (e.g., accuracy, precision, F1-score) to evaluate algorithms.
Requirements:
Familiarity with Python is highly encouraged.
Get More Tutorials and Support Us -->> https://FreeCourseWeb.com
We upload these learning materials for the people from all over the world, who have the talent and motivation to sharpen their skills/ knowledge but do not have the financial support to afford the materials. If you like this content and if you are truly in a position that you can actually buy the materials, then Please, we repeat, Please, Support Authors. They Deserve it! Because always remember, without "Them", you and we won't be here having this conversation. Think about it! Peace...