NormConf - The Normcore Tech Conference
normconf.comNormconf is the tech conference about all the stuff that matters in data and machine learning, but doesn.
Looking for something like Weka? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 3 are free or have a free plan and 5 are open source.
Weka 3 provides open source machine learning and data mining software written in Java.
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | NormConf - The Normcore Tech Conference | — | Not stated | Web |
| 2 | Sebastian Thrun’s Introduction To Machine Learning | — | Not stated | Web |
| 3 | Homemade Machine Learning | — | Yes | — |
| 4 | Introduction to Machine Learning with Python | — | Not stated | — |
| 5 | ML-From-Scratch | — | Yes | — |
| 6 | pattern classification | — | Yes | — |
| 7 | Andrew Ng’s Machine Learning at Stanford University | — | Not stated | Web |
| 8 | StepByStepML | Free | Not stated | Web |
| 9 | The 100-Page Language Models Book | — | Not stated | Web |
| 10 | Machine Learning Mastery | — | Not stated | Web |
Normconf is the tech conference about all the stuff that matters in data and machine learning, but doesn.
Udacity’s Introduction to Machine Learning course covers foundational machine learning and data analysis.
Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained.
Notebooks and code for the book "Introduction to Machine Learning with Python".
ML-From-Scratch shares accessible NumPy implementations of machine learning models, from linear regression to deep learning.
This repository collects tutorials and examples for learning machine learning and pattern classification.
This Coursera course teaches supervised machine learning, regression, and classification with Python.
Free online machine learning calculators. Input your dataset and watch algorithms like K-Means, Minimax, and KNN get solved step-by-step for CS exams.
The Hundred-Page Language Models Book teaches machine learning foundations, transformers, and large language models.
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MLU-Explain provides visual explanations of machine learning concepts through educational materials.
The ICML site provides information about the International Conference on Machine Learning in Lille.
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This repository contains more than 50 tutorials and implementations for generative AI agent techniques.
Tutor AI answers questions, explains concepts, and helps learners follow custom learning pathways at their own pace.
TutorialSearch searches and compares online tutorials and courses across learning platforms.
Stanford CS336 provides course schedules, assignments, and materials for language modeling from scratch.
Chip Huyen writes about AI system design and bringing AI applications into production.
Azure for Students provides cloud services, developer tools, and credits for building apps and exploring AI.
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Analytics Vidhya’s DataHack platform offers data science challenges, hackathons, and learning resources.
nbshare provides notebooks and learning materials for data analytics with Python and R.
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