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 3mo agoIntroduction to Inferential Statistics
By: Zero To MasteryYou learn core inferential stats like intervals, tests, ANOVA, and run them in Python. The course shows how to read messy data and make clear data decisions.9h 25m -
Updated 1y agoCase Study in A/B Testing
By: LunarTechUnlock the Potential of A/B Testing - Dive into our course designed to equip you with the proven methodologies of designing, conducting.1h 56m -
Updated 1y agoSchema Design Data Stores
By: Andreas KretzSchema design is a vital topic in data management, repeatedly highlighted during coaching sessions .2h 30m5/5 -
Updated 2y agoDS4B 101-P: Python for Data Science Automation
By: Business Science UniversityPython for Data Science Automation is an innovative course designed to teach data analysts how to convert business processes to python-based data science automa27h 6m5/5 -
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 2y agoPyTorch for Deep Learning
By: Zero To MasteryMaster PyTorch for deep learning with a step-by-step course. Build real-world projects and enhance your skills to become a Deep Learning Engineer.52h5/5 -
Updated 1y agoData Engineering on Databricks
By: Andreas KretzLearn Databricks for data processing using Apache Spark. This course covers setup on AWS, ETL processes, data visualization, and BI tools integration.1h 27m5/5 -
Updated 2y agoSQL & Database Design A-Z™: Learn MS SQL Server + PostgreSQL
By: UdemyAre you interested in a career in Data Science or Data Analytics? In that case, inevitably you are going to encounter databases in your work. But how do you int12h 32m
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 -
ClassicSystems 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.