Several videos presenting the practice required to pass machine learning design interviews. It will not be boring.
Machine Learning Design Questions
3h 3m 57s
English
Paid
Machine Learning Design Questions is a 5-lesson 3 hours 3 minutes self-paced course by AlgoExpert. Several videos presenting the practice required to pass machine learning design interviews.
Course facts
- Lessons
- 5
- Duration
- 3 hours 3 minutes
- Level
- All levels
- Language
- English
- Updated
- Instructor
- AlgoExpert
- Price
- Premium
Who teaches Machine Learning Design Questions? AlgoExpert
AlgoExpert is a US technical-interview-preparation platform founded by Clément Mihailescu (a former Google engineer) — one of the most-used resources for the algorithm / data-structure portion of senior engineering interviews. The platform's distinctive contribution is the curated set of 160 hand-picked interview questions across difficulty tiers, each with video walkthroughs in multiple languages.
The platform has expanded beyond the original AlgoExpert track into SystemsExpert (system design), FrontendExpert (the browser / front-end interview rounds), MLExpert (machine learning interviews), ProgrammingExpert (the broader CS / coding skill foundation), and InfraExpert (infrastructure / DevOps interviews). The teaching style is rigorous and pattern-focused.
The CourseFlix listing under this source carries 8 AlgoExpert courses spanning that range. Material is paid; AlgoExpert runs on per-course or membership pricing on the original platform. Courses are aimed at engineers preparing for technical interviews at large tech companies.
What lessons are included in Machine Learning Design Questions?
0:00
/ #1: Design A Machine Learning Platform
All Course Lessons (5)
| # | Lesson Title | Duration | Access |
|---|---|---|---|
| 1 | Design A Machine Learning Platform Demo | 33:59 | |
| 2 | Design Facebook Photo Tagging | 28:26 | |
| 3 | Design Amazon Alexa | 42:00 | |
| 4 | Design A Fake News Detector | 35:27 | |
| 5 | Design YouTube's Recommendation System | 44:05 |
Unlock unlimited learning
Get instant access to all 4 lessons in this course, plus thousands of other premium courses. One subscription, unlimited knowledge.
Learn more about subscriptionWhat courses are similar to Machine Learning Design Questions?
-
Updated 2y agoThe Data Science Course: Complete Data Science Bootcamp 2023
By: UdemyData scientist is one of the best suited professions to thrive this century. It is digital, programming-oriented, and analytical. Therefore, it comes as no surp31h 14m -
Updated 2y agoPython for Business Data Analytics & Intelligence
By: Zero To MasteryBecome a top Business Data Analyst. We’ll teach you everything you need to go from a complete beginner to getting hired as an analytics professional. You’ll lea15h 25m5/5 -
Updated 2y agoStatistics Bootcamp (with Python): Zero to Mastery
By: Zero To MasteryMaster statistics with Python through projects and quizzes. Learn with fun from industry experts. Ideal for careers in Data Analytics and Machine Learning.20h 50m -
Updated 2y agoPyTorch for Deep Learning with Python Bootcamp
By: UdemyWelcome to the best online course for learning about Deep Learning with Python and PyTorch! PyTorch is an open source deep learning platform that provides a sea17h 2m5/5 -
Updated 1y agoBecoming a Better Data Engineer
By: Andreas KretzData engineering is not just about moving information from one place to another.1h 46m5/5 -
Updated 2y agoPython for Data Science and Machine Learning Bootcamp
By: UdemyAre you ready to start your path to becoming a Data Scientist! This comprehensive course will be your guide to learning how to use the power of Python.24h 49m -
Updated 2y agoMachine Learning with Python : COMPLETE COURSE FOR BEGINNERS
By: UdemyMachine Learning and artificial intelligence (AI) is everywhere; if you want to know how companies like Google, Amazon, and even Udemy extract meaning and insig13h 12m -
Updated 1y agoData Analysis for Beginners: Python & Statistics
By: Zero To MasteryEmbark on your journey into the world of data analysis with this comprehensive course on Python and statistics.6h 34m5/5
More courses by AlgoExpert
-
Updated 2y agoHTML Crash Course
The foundational HTML knowledge you need to ace frontend interviews. HTML might not be the most exciting topic in computer science, but it lies at the heart of1h 36m -
Updated 2y agoInfraExpert
Infrastructure engineering is built on extensive foundations in networking, operating systems, virtualization, databases, and cloud computing.12h 1m3/5 -
Updated 2y agoiOSExpert
An unrivaled platform to learn iOS development. Everything you need to ace the iOS interviews. What is iOSExpert? iOS Crash Courses.8h 32m5/5 -
Updated 2y agoData Structures Crash Course
Algorithms and data structures go hand in hand; the solution to virtually any coding interview problem will require the implementation of some kind of.4h 28m5/5 -
Updated 3y agoSystems Design Fundamentals
The most important ingredient to success in systems design interviews is having extensive knowledge in the areas of distributed computing, reliability engineeri10h 2m5/5 -
ClassicAlgoExpert | Become an Algorithms Expert
Become an Expert in Algorithms. 65 videos explaining popular interview questions with solutions in JavaScript, Python, C ++, Java, and Go.116h 40m5/5
Frequently asked questions
What prerequisites should I have before taking this course?
Prospective students should have a foundational understanding of machine learning concepts and some experience with implementing algorithms. Familiarity with platforms and tools used in machine learning environments, along with basic programming skills, will be beneficial for tackling the design problems presented in the course.
What is the main focus of the projects in this course?
The course focuses on designing machine learning systems for real-world applications. Projects include designing a machine learning platform, Facebook photo tagging, Amazon Alexa's functionalities, a fake news detector, and YouTube's recommendation system, each emphasizing different aspects of system design and application.
Who is the target audience for this course?
This course is aimed at individuals preparing for machine learning design interviews, particularly those seeking roles that involve system design and architecture in machine learning. It's suitable for learners who want to deepen their understanding of how to construct and evaluate complex machine learning systems.
How does the depth of this course compare to other machine learning courses?
This course specifically focuses on design problems rather than algorithmic implementation or theory alone. It provides a practical approach to solving real-world machine learning design challenges, making it distinct from courses that focus purely on algorithms or theoretical aspects.
What specific tools or platforms are covered in the lessons?
The lessons do not focus on specific tools or platforms but rather concentrate on the system design aspects of machine learning applications, such as the architecture behind Facebook's photo tagging and YouTube's recommendation system.
What topics are not covered in this course?
The course does not cover the implementation of machine learning algorithms or the theoretical foundations in detail. It is specifically tailored to address design questions that might appear in interviews rather than providing a comprehensive guide to machine learning techniques.
How can this course be beneficial for career advancement?
Completing this course can enhance a candidate's ability to tackle machine learning design interview questions effectively, thereby increasing their prospects in roles that require expertise in designing complex systems. The skills gained are applicable to various domains, including tech giants like Facebook, Amazon, and Google.