AlgoExpert | MLExpert [FCO]

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Large-Scale Machine Learning 1.INTRODUCTION
  • 1.intrduction.mp4 (6.8 MB)
2.DATA SUPPORT
  • 1.Data INGESTION.mp4 (67.7 MB)
  • 2.Data Storage.mp4 (57.6 MB)
  • 3.Data Processing.mp4 (94.5 MB)
  • 4.Processing Orchestration.mp4 (39.9 MB)
3.EXPLORATION
  • 3.Exploration.mp4 (13.7 MB)
4.EXPERIMENTATION
  • 1.Frequentist AB Testing.mp4 (58.2 MB)
  • 2.Bayesian AB Testing.mp4 (22.7 MB)
  • 3.Multi-Armed Bandit.mp4 (39.7 MB)
  • 4.Impact Estimation (2).mp4 (41.8 MB)
5.LARGE-SCALE TRAINING
  • 1.Basic Models.mp4 (117.5 MB)
  • 2.DEEP LEARNING MODELS.mp4 (117.5 MB)
  • 3.Model Validation.mp4 (54.3 MB)
6.PRODUCTIONIZATION
  • 6.Productionization.mp4 (17.9 MB)
7.HOSTING
  • 1.Data Hosting.mp4.mp4 (13.7 MB)
  • 2.Model Hosting.mp4.mp4 (29.9 MB)
Machine Learning Crash Course 1.Introduction
  • 1.Introduction.mp4 (16.1 MB)
  • 2.Prerequisite.mp4 (13.8 MB)
2.Supervised Learning
  • 1.Naive Bayes.mp4 (54.4 MB)
  • 2.Performance.mp4 (65.0 MB)
  • 3.Naive Bayes Optimizations.mp4 (74.8 MB)
  • 4.K Nearest Neighbors.mp4 (40.9 MB)
  • 5.Decision Trees.mp4 (57.0 MB)
  • 6.Linear Regression.mp4 (45.9 MB)
  • 7.Logistic Regression.mp4 (74.4 MB)
  • 8.Support Vector Machine.mp4 (56.8 MB)
3.Unsupervised Learning
  • 1.K-means.mp4 (40.0 MB)
  • 2.Singular Value Decomposition.mp4 (42.5 MB)
4.Deep Learning
  • 1.Neural Networks.mp4 (101.1 MB)
  • 2.Convolutional Neural Networks.mp4 (106.4 MB)
  • 3.Recurrent Neural Networks.mp4 (74.0 MB)
  • 4.Generative Adversarial Neural Networks.mp4 (38.4 MB)
5.Recommender Systems
  • 1.Collaborative and Content Based Filtering.mp4 (52.7 MB)
6.Ranking
  • 1.Learning To Rank..mp4 (21.7 MB)

Description

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AlgoExpert - ML Expert [FCO]

A revolutionary platform to learn machine learning.
The best way to prepare for machine learning interviews.



What is MLExpert?

ML Crash Course
Machine learning is a vast field with many key concepts to know. Our crash course covers all of the fundamental building blocks you need to dive into real-world machine learning.

ML Coding Questions
Contrary to popular belief, machine learning isn't all theory and math. Our machine learning coding questions equip you with the practical skills to tackle real machine learning problems.

Large-Scale ML
It's one thing to develop simple machine learning models, but it's another thing to design large-scale machine learning systems. Our Large-Scale ML course trains you to do just that.

ML Design Questions
Designing large-scale machine learning systems requires not only specialized knowledge, but also targeted experience. Our ML design questions provide a one-of-a-kind package to prepare you.

ML Quiz
Machine learning interviews require a breadth of knowledge about machine learning. We've carefully curated a 75-question quiz to test your understanding of machine learning concepts.

Recruiting Profile & Certificate
Landing technical interviews can be harder than passing them. Once you earn the MLExpert Certificate, we refer you to tech companies so you can directly start their interview process.

The Ultimate Machine Learning Platform For...

- ML Interview Preparation
You have a background in ML and Mathematics, and you're preparing for ML-related technical interviews.

Every part of MLExpert was designed precisely for you. MLExpert is your one-stop-shop to ace the interviews.

- Working With ML
You're already working in an ML-related technical role, and you want to bring your skills to the next level.

MLExpert—especially our Large-Scale ML section and ML Systems Design questions—is exactly what you're looking for.

- An Introduction to ML
You don't have an ML background, but you want to understand ML at a high level; you want to be conversational in ML.

The math of MLExpert might be difficult to follow, but the course will equip you with the foundational knowledge you need.

ML Crash Course
Machine learning mastery is built on extensive foundations in the areas of supervised learning, unsupervised learning, and deep learning, to name a few.

Our machine learning crash course is intelligently organized into 18 modules, each covering a key concept and building upon the previous one. The result is a guided, comprehensive education that equips you with all the building blocks you need to successfully navigate any machine learning interview.

ML Coding Questions
It's important to know more than just theory and math before walking into machine learning interviews, because the coding portion of these interviews will test your knowledge in an applied format.

Our thoughtfully selected machine learning coding interview questions cover the most important applied machine learning concepts, ensuring you head into your interviews armed with the most targeted experience. Practice makes perfect. Intelligent practice makes even more perfect.

Large-Scale ML
Designing large-scale machine learning systems goes beyond just machine learning fundamentals and requires a profound understanding of numerous specialized machine learning topics.

The 16 modules that comprise our large-scale machine learning course build upon each other to give you an unparalleled education on machine learning at scale.

ML Design Questions
Design a recommendation engine to increase ad revenue.
Design a fraud-detection system to prevent user abuse.
Design a voice assistant to maximize answer accuracy.

These are the kinds of open-ended systems design questions that you could be faced with in a machine learning interview. Our curated list of design questions and our exceptional workspace give you the perfect preparation to tackle these challenging design problems.

A Better Way To Land Interviews

• Earn the MLExpert Certificate. Get referred to tech companies.
• No more InMail messages that get ignored.
• No more cold emails that go nowhere.
• No more job applications that get no attention.
• No more referral programs that don't work.
• No more recruiting agencies that cost a fortune.
• With MLExpert, preparing for interviews helps you land interviews.

Meet Your Instructor

Ryan Doan - Ex-Amazon ML Infrastructure Engineer

Ryan is an Ex-Amazon Machine Learning Infrastructure Engineer, the VP of Technology at Semantic Health, and a true ML expert. After earning his degree in Computer & Electrical Engineering (with a focus on robotics and ML) from Virginia Tech in 2016, Ryan went on to apply his expertise across multiple industries, building ML models for trading firms, politicians, and even the NSA. He later found a home at Amazon, where he spent 5 years building ML models to improve the company's customer experience and designing ML systems to support its engineers and scientists. In late 2020, he joined forces with AlgoExpert, where he now trains ML engineers by sharing his deep industry experience and knowledge through our one-of-a-kind ML-interview-prep product: MLExpert.

General Info:

Author

: Ryan Doan

Language

: English

Released

: 2022

Duration

: 10h 42m

Course Source

: https://www.algoexpert.io/machine-learning/product



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AlgoExpert | MLExpert [FCO]


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AlgoExpert | MLExpert [FCO]


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