10最好的推荐引擎教程推荐

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特写 iPhone,显示 Udemy 应用程序和带笔记本的笔记本电脑有数以千计的在线课程和课程可以帮助您提高 推荐引擎 技能并获得 推荐引擎 证书。

在这篇博客文章中,我们的专家汇总了 10 个精选列表 最好的 推荐引擎 课程, 现在在线提供的教程、培训计划、课程和认证。

我们只包括那些符合我们高质量标准的课程。我们花了很多时间和精力来为您收集这些。这些课程适合所有级别的初学者、中级学习者和专家。

以下是这些课程以及它们为您提供的内容!

10最好的推荐引擎教程推荐

1. Building Recommender Systems with Machine Learning and AI 经过 “Sundog Education by Frank Kane, Frank Kane, Sundog Education Team” Udemy课程 我们的最佳选择

“How to create machine learning recommendation systems with deep learning, collaborative filtering, and Python.”

截至目前,超过 41315+ 人们已经注册了这门课程,而且已经结束了 2424+ 评论.

课程内容
Getting Started
Introduction to Python [Optional]Evaluating Recommender Systems
A Recommender Engine Framework
Content-Based Filtering
Neighborhood-Based Collaborative Filtering
Matrix Factorization Methods
Introduction to Deep Learning [Optional]Deep Learning for Recommender Systems
Scaling it Up
Real-World Challenges of Recommender Systems
Case Studies
Hybrid Approaches
Wrapping Up

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2. Recommender Systems and Deep Learning in Python 经过 Lazy Programmer Inc. Udemy课程

“The most in-depth course on recommendation systems with deep learning, machine learning, data science, and AI techniques”

截至目前,超过 20034+ 人们已经注册了这门课程,而且已经结束了 3840+ 评论.

课程内容
Welcome
Simple Recommendation Systems
Collaborative Filtering
Beginner Q&A
Matrix Factorization and Deep Learning
Restricted Boltzmann Machines (RBMs) for Collaborative Filtering
Big Data Matrix Factorization with Spark Cluster on AWS / EC2
Basics Review
Bayesian Ranking (Scary Version)
Setting Up Your Environment (FAQ by Student Request)
Extra Help With Python Coding for Beginners (FAQ by Student Request)
Effective Learning Strategies for Machine Learning (FAQ by Student Request)
Appendix / FAQ Finale

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3. Recommendation Engine Bootcamp with 3 Capstone Projects 经过 Data Is Good Academy Udemy课程

Master recommendation systems Industry Projects using using modern recommendation techniques and methodologies

截至目前,超过 14420+ 人们已经注册了这门课程,而且已经结束了 120+ 评论.

课程内容
Introduction to Recommendation System
Content Based Filtering
Collaborative Based Filtering
Singular Value Decomposition
Case Studies from Giants
Project Course 1: Movie Recommender Systems
Project Course 2: Open Jobs Analyzer and Recommendation System
Project Course 3: Books Recommendation Engine
Outro Section
Bonus Section

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4. How to Build A Recommendation Engine In Python 经过 John Williams Udemy课程

“An easy to understand, hands-on tutorial to building a simple Recommendation Engine with same basic concepts as Netflix”

截至目前,超过 5099+ 人们已经注册了这门课程,而且已经结束了 46+ 评论.

课程内容
Build a Recommendation Engine

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5. Develop Recommendation Engine with PYTHON 2022 经过 Pranjal Srivastava Udemy课程

“Learn to apply recommendation techniques used by Amazon, Netflix, Youtube, IMDB”

截至目前,超过 3537+ 人们已经注册了这门课程,而且已经结束了 20+ 评论.

课程内容
Everything is Recommendation
Quiz
Quick Recap
Let’s create a basic Recommendation System..
Content Filter Recommendation System
Collaboration Based Recommendation System
Datasets and Notebooks
Bonus Section

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6. Recommendation system Real World Projects using Python 经过 Shan Singh Udemy课程

“Real World Projects on recommendation systems with data science, machine learning and AI techniques..”

截至目前,超过 1758+ 人们已经注册了这门课程,而且已经结束了 11+ 评论.

课程内容
Introduction & welcome to this course !
——————- Project 1 : TMDB use-case ———————-
Build a Recommendation System using Average Weighted
Build a recommendation system using Popularity Score
Build a recommendation system using Weighted average and Popularity score
Build a recommendation system using Content based filtering
Build a more Advance recommendation system using Content based filtering
——————- Project 2 : Movie_lens use-case ——————–
Build a Recommender System using Co-rrelation
Build a Recommender System using KNN-based Collaborative filtering..

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7. Learning Path: Build Your Own Recommendation Engines 经过 Packt Publishing Udemy课程

Make valuable future-ready decisions that are backed by data using modern recommender systems

截至目前,超过 367+ 人们已经注册了这门课程,而且已经结束了 75+ 评论.

课程内容
Building Practical Recommendation Engines – Part 1
Building Practical Recommendation Engines – Part 2

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8. Recommender Systems for Beginners – Complete 2021 Edition 经过 The Click Reader Udemy课程

A beginner-focused course on Recommender Systems for entrepreneurs and developers.

截至目前,超过 239+ 人们已经注册了这门课程,而且已经结束了 14+ 评论.

课程内容
Introduction
The Inner Workings
Evaluating Recommender Systems
End of Course

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9. Practical Recommender Systems For Business Applications 经过 Minerva Singh Udemy课程

Implementing Data Science Driven Recommender Systems For Business Applications Using Python Within Google Colab

截至目前,超过 115+ 人们已经注册了这门课程,而且已经结束了 19+ 评论.

课程内容
Welcome To The Course
Basics Of Python For Data Science
Basic Statistical Concepts
What Are Recommender Engines?
Filtering Based Recommender Engines
Common Recommender Engines
Working With Text Data
Text Based Recommender System
Miscellaneous

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10. Building real world books recommendation engine with Python 经过 Evergreen Technologies Udemy课程

Using item based collaborative filtering to find similar books

截至目前,超过 91+ 人们已经注册了这门课程,而且已经结束了 24+ 评论.

课程内容
Introduction
Set Up
Experimentation
Web Application

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下面是一些关于学习的常见问题推荐引擎

学习推荐引擎需要多长时间?

“学习推荐引擎需要多长时间”这个问题的答案是。 . .这取决于。每个人都有不同的需求,每个人都在不同的场景下工作,所以一个人的答案可能与另一个人的答案完全不同。

考虑这些问题:你想学习 推荐引擎 是为了什么?你的出发点在哪里?您是初学者还是有使用 推荐引擎 的经验?你能练习多少?每天1小时?每周40小时? 查看本课程关于 推荐引擎.

推荐引擎 学起来容易还是难?

不,学习 推荐引擎 对大多数人来说并不难。检查这个 关于如何学习的课程 推荐引擎 立刻!

如何快速学习推荐引擎?

学习 推荐引擎 最快的方法是先得到这个 推荐引擎 课程, 然后尽可能练习你学到的任何东西。即使每天只有 15 分钟的练习。一致性是关键.

在哪里学习 推荐引擎?

如果您想探索和学习 推荐引擎,那么 Udemy 为您提供了学习 推荐引擎 的最佳平台。查看此 关于如何学习的课程 推荐引擎 立刻!