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Machine Learning Engineer Roadmap

Machine Learning

Software Engineering
Data structures and Algorithms
Algorithmic Design and Techniques (edx.org)
Graph Algorithms (edx.org)
NP-Complete Problems (edx.org)
OOP Concepts
Software design and Architecture
Design Patterns
Databases and Query Languages
Continous Integration
Testing
Python Testing with pytest: Simple, Rapid, Effective, and Scalable (Book)
Cloud
Containerization
Api Development
Maths For Machine Learning
Linear Algebra
Linear Algebra and Optimization for Machine Learning: A Textbook (Book)
Calculus
Probability and Statistics
Think stats (Book)
Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python (Book)
Naked Statistics (Book)
Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series) (Book)
Pattern Recognition and Machine Learning (Information Science and Statistics) by Christopher M. Bishop (Author) (Book)
The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics) (Book)
Machine Learning
Supervised Learning
The Supervised Learning Workshop: A New, Interactive Approach to Understanding Supervised Learning Algorithms, 2nd Edition (Book)
The Hundred-Page Machine Learning Book (Book)
Unsupervised Learning
Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data 1st Edition
Numpy
Pandas
Sklearn
Data science From scratch using Python (Book)
Neural Network
Make Your Own Neural Network (Book)
Neural Networks and Deep Learning: A Textbook (Book)
Deep Learning (Adaptive Computation and Machine Learning series) (Book)
Pytorch
Pytorch Examples (github)
Pytorch Tutorials Yunjey (github)
Pytorch Tutorials (github)
Programming PyTorch for Deep Learning: Creating and Deploying Deep Learning Applications (Book)
Deep Learning with PyTorch: Build, train, and tune neural networks using Python tools (Book)
MLops
What are MLOps and Why Does it Matter?
Machine Learning Design Patterns: Solutions to Common Challenges in Data Preparation, Model Building, and MLOps
MLOps: Machine Learning as an Engineering Discipline (Blog)
Projects and Resources
Deep Learning Essentials , Mila University (edx.org)
Deep Learning for Coders with Fastai and PyTorch: AI Applications Without a PhD (Book)
Machine Learning Engineering (Book)
Building Machine Learning Powered Applications: Going from Idea to Product (Book)
Datasets
AWESOME PUBLIC DATASETS
70+ machine Learning Datasets

Cumartesi, 29 Haziran 2024, 1:13 ÖS

Yazar : irtibat merkezi

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