Codecademy’s Machine Learning Specialist path covers Python, SQL, pandas, scikit-learn, Matplotlib, and TensorFlow.
mlsysbook
vsHands-on Train and Deploy ML
mlsysbook vs Hands-on Train and Deploy ML
How do mlsysbook and Hands-on Train and Deploy ML compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | mlsysbook | Hands-on Train and Deploy ML |
|---|---|---|
| What it is | Machine Learning Systems is a two-volume textbook about how machine learning systems are built, covering the engineering behind AI. | This tutorial walks through training and deploying a machine learning REST API that predicts cryptocurrency prices in ten steps. |
| Website | ||
| Type | Website | Open-source project |
| Topic | ||
| Pricing | Free | Not confirmed |
| Platforms | Web | Not recorded |
| Open source | Not stated | Yes |
| Language | English | English |
| Alternatives |
Other options to consider
Sites similar to both mlsysbook and Hands-on Train and Deploy ML.
This machine learning roadmap lays out a learning path that starts with mathematics and calculus fundamentals.
The iAI KAIST page shares deep learning materials that visitors are permitted to use, modify, and distribute.
Jupyter notebooks implement and derive machine learning algorithms from first principles using NumPy.
Open source
24 alternatives
A series of Jupyter notebooks teaches machine learning and deep learning in Python with Scikit-Learn, Keras, and TensorFlow.
Open source
24 alternatives
A curated repository helps readers discover machine learning and AI courses published on YouTube.
Open source
24 alternatives