This blog covers machine learning applications, with a focus on PyTorch examples and deep learning code.
AI and Machine Learning Roadmaps
This Scaler roadmap introduces artificial intelligence and machine learning topics through its blog.
About AI and Machine Learning Roadmaps
This is the Artificial Intelligence and Machine Learning category of the Scaler blog. It gathers written articles and roadmap-style explainers on AI and ML topics, published as blog posts rather than as a structured course.
Articles on the page cover subjects such as model drift and how it is detected and monitored in machine learning systems, retrieval-augmented generation and RAG evaluation metrics, feature stores and a comparison of Feast versus Tecton, and the skills ML engineers need to move work from data science into production. Each entry shows an author name and a publication date, and more posts are available through a show-more link.
The page is written for readers who want to learn about applied machine learning and AI engineering, including students, self-taught learners and working developers. It also links to a free career counselling offer from Scaler.
Key features
- Articles on artificial intelligence and machine learning from the Scaler blog
- Covers model drift detection and monitoring in ML systems
- Explains retrieval-augmented generation and RAG evaluation metrics
- Compares feature store tools such as Feast and Tecton
- Discusses ML engineer skills for production work
- Links to free career counselling from Scaler
Best for: Students, self-taught learners and working developers who want free written explanations of applied AI and machine learning topics.
Good for
- Readable blog format covering practical ML engineering subjects
- Topics include RAG, feature stores and model monitoring
- Publicly available on the web with author names and dates
Watch out for
- It is a blog category page, not a structured course or curriculum
- Coverage is limited to the articles listed on the page
AI and Machine Learning Roadmaps at a glance
- Category
- AI & Machine Learning › AI Learning & Guides
- Type
- Website
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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AI and Machine Learning Roadmaps FAQ
What is the Scaler AI and Machine Learning blog?
It is a category page on the Scaler blog that collects articles about artificial intelligence and machine learning. Posts cover topics such as model drift, retrieval-augmented generation and feature stores.
What topics are covered?
Listed articles include model drift detection and monitoring, RAG evaluation metrics, feature store comparisons like Feast vs Tecton, and ML engineer skills for production.
Is the content free?
The articles are published on Scaler's public blog and no pricing is stated on the page. The page also offers free career counselling.
Who writes these articles?
The articles shown on the page are credited to Shivank Agarwal, with publication dates listed under each post.
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