Machine Learning Systems is a two-volume textbook about how machine learning systems are built, covering the engineering behind AI.
The Best Machine Learning for Software Engineers Alternatives in 2026
Looking for something like Machine Learning for Software Engineers? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 1 are free or have a free plan and 10 are open source.
A daily study plan for people working toward becoming machine learning engineers.
Top picks at a glance
Quick comparison
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | mlsysbook | Free | Not stated | Web |
| 2 | Everything AI Ml | — | Yes | — |
| 3 | ML YouTube Courses | — | Yes | — |
| 4 | Machine Learning Visualized | — | Yes | — |
| 5 | LLM Course | — | Yes | — |
| 6 | Hands-on Train and Deploy ML | — | Yes | — |
| 7 | Mallet | — | Not stated | Web |
| 8 | ML Course Notes | — | Not stated | — |
| 9 | Handson ML3 | — | Yes | — |
| 10 | ML Engineering | — | Not stated | — |
All Machine Learning for Software Engineers alternatives
A curated collection gathers learning resources for generative AI, machine learning, LLMs, RAG, and related topics.
A curated repository helps readers discover machine learning and AI courses published on YouTube.
Jupyter notebooks implement and derive machine learning algorithms from first principles using NumPy.
This LLM course combines learning roadmaps with Google Colab notebooks for studying large language models.
This tutorial walks through training and deploying a machine learning REST API that predicts cryptocurrency prices in ten steps.
Mallet
mimno.github.io/Mallet/indexMallet provides machine learning tools for language processing, according to its project title.
ML Course Notes
github.com/dair-ai/ML-Course-NotesA collaborative collection shares course and lecture notes on machine learning, natural language processing, and AI.
A series of Jupyter notebooks teaches machine learning and deep learning in Python with Scikit-Learn, Keras, and TensorFlow.
ML Engineering
github.com/stas00/ml-engineeringThis open book collects methods, tools, and instructions for training, fine-tuning, and running machine learning models.
ProjectLearn
projectlearn.ioProjectLearn teaches programming through projects across web, mobile, game development, machine learning, and artificial intelligence.
Deep Learning Drizzle
deep-learning-drizzle.github.ioDeep Learning Drizzle collects readings and notes about deep learning for study.
Coding Questions
platform.stratascratch.com/codingStrataScratch offers over 1,000 data science interview questions across SQL, Python, statistics, machine learning, and data projects.
Deep ML
deep-ml.comDeep-ML provides hands-on exercises in machine learning and data science fundamentals.
Machine Learning Roadmap
rentry.org/machine-learning-roadmapThis machine learning roadmap lays out a learning path that starts with mathematics and calculus fundamentals.
ML Visualized
ml-visualized.comMachine Learning Visualized organizes its material as a collection of visual learning resources in a repository.
Codecademy's Data Science
codecademy.com/learn/paths/data-scienceCodecademy’s Machine Learning Specialist path covers Python, SQL, pandas, scikit-learn, Matplotlib, and TensorFlow.
Everything AI/ML
viveknaskar.github.io/everything-ai-mlThis curated AI and machine learning guide organizes over 228 learning resources across 30 sections.
A Python learning playground and cheat sheet organizes example scripts by topic, with explanations for the code.
Data Science Ipython Notebooks
github.com/donnemartin/data-science-ipython-no…Data Science IPython Notebooks collects notebooks about data science, including TensorFlow deep learning.
This Awesome DataScience repository collects learning material and resources about data science.
AI for Beginners is a Microsoft course organized as 24 lessons across 12 weeks.
rasbt/LLMs-from-scratch
github.com/rasbt/LLMs-from-scratchThis repository walks through implementing a ChatGPT like language model in PyTorch, step by step.
Algorithms Cheatsheet Resources collects reference material for programming and algorithms.
Alternatives to similar tools
What is the best alternative to Machine Learning for Software Engineers?
Is there a free alternative to Machine Learning for Software Engineers?
Are there open-source alternatives to Machine Learning for Software Engineers?
Alternatives are suggested from the purpose and features described in our listings. Different pages for the same product appear once. Read each description to check whether it fits your task. How we choose alternatives · Suggest an alternative





















