A curated repository helps readers discover machine learning and AI courses published on YouTube.
Open source
24 alternativesMachine Learning for Software Engineers
vsDeep ML
Machine Learning for Software Engineers vs Deep ML
How do Machine Learning for Software Engineers and Deep ML compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Machine Learning for Software Engineers | Deep ML |
|---|---|---|
| What it is | A daily study plan for people working toward becoming machine learning engineers. | Deep-ML provides hands-on exercises in machine learning and data science fundamentals. |
| Website | ||
| Type | Open-source project | Website |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Not recorded | Web |
| Open source | Not stated | Not stated |
| Language | English | English |
| Alternatives |
Other options to consider
Sites similar to both Machine Learning for Software Engineers and Deep ML.
StrataScratch offers over 1,000 data science interview questions across SQL, Python, statistics, machine learning, and data projects.
A collaborative collection shares course and lecture notes on machine learning, natural language processing, and AI.
Machine Learning Systems is a two-volume textbook about how machine learning systems are built, covering the engineering behind AI.
Free
24 alternatives
Data Science IPython Notebooks collects notebooks about data science, including TensorFlow deep learning.
A series of Jupyter notebooks teaches machine learning and deep learning in Python with Scikit-Learn, Keras, and TensorFlow.
Open source
24 alternatives