Machine learning reddit . Jan 8, 2025 · Feel free to share any educational resources of machine learning. A Complete Machine Learning This is a subreddit for machine learning professionals. Also, we are a beginner-friendly sub-reddit, so don't be afraid to ask questions! This can include questions that are non-technical, but still highly relevant to learning machine learning such as a systematic approach to a machine learning problem. Here are some popular communities to join: r/MachineLearning : The largest and most active community for machine learning on Reddit, with over 1. Coursera Machine Learning - Python Code, kaleko git-repo. We would like to show you a description here but the site won’t allow us. In 2017, Reddit added BigQuery which was simple to manage and connect their data to. This practice is important in machine learning because it makes the ML algorithm easier in creating that distinction between supervised and unsupervised machine learning. Here, you can feel free to ask any question regarding machine learning. Join r/MachineLearning, a forum with 2. r/MachinesLearn is a machine learning community to which you enjoy belonging. 5 million subscribers. Sep 4, 2019 · In 2016 Reddit incorporated the Miskey machine learning recommendation service, which looks at user interactions, pulls in data, and is able to collect insights to make good recommendations for content users may like. We share content on practical artificial intelligence: machine learning tutorials, DIY, projects, educative videos, new tools, demos, papers, and everything else that can help a machine learning practitioner in building modern AI systems. 6M members for Data Scientists and ML Engineers. Machine Learning Git Codebook git-repo. When learning machine learning models (particularly neural nets), try to implement them from scratch (using Numpy and vanilla Python), even if it’s not optimised, before using a framework like TensorFlow or PyTorch. Model Based Machine Learning book. Discuss all things Machine Learning, Data Science, and related topics on Reddit. Course in Machine Learning (CIML) by Daume (this one was my first book! It gives a high level understanding of topics, and it really helped me improve my understanding) Understanding Machine Learning: from theory to algorithms by Shai Ben-David and Shai Shalev-Shwartz. Coursera Machine Learning - Python Code, dibgerge git-repo. Machine learning is a rapidly evolving field, and keeping abreast of new techniques and advancements is essential. Theory heavy. Lastly, practice continuous learning and stay curious. If you don’t want the math background edx has an MIT sequence that oh wait, that uses math too. Mathematics for machine learning is both a coursera mooc and a textbook. I've already taken a ML course which gave some good rigor to dimensionality reduction (PCA, LDA), clustering (K-means, EM), neural nets (three-layer fully-connected, convolusional), and then some kernel methods. In supervised machine learning, the training data is already labeled (or annotated), allowing the system to learn more about the results desired. Start with the coursera then go to the book. See full list on roboticsfaq. com Dec 11, 2024 · Reddit has several communities dedicated to machine learning, and joining the right ones can be instrumental in your learning journey. A place for beginners to ask stupid questions and for experts to help them! /r/Machine learning is a great subreddit, but it is for interesting articles and news related to machine learning. But I'm a bit unsure about which hardware to choose, especially which GPU would suit my work best to get decent performance with YOLO since I'm a student on a budget. Building a strong foundation, hands-on experience, and a commitment to staying informed will empower individuals to navigate the complex landscape of machine learning successfully. Coursera Machine Learning - Python Code, JWarmenhoven git-repo. Hey, I'm working on my college thesis in deep learning and decided to build a computer for it. Learn math, and you’ll learn machine learning. Something I heard from Andrej Karpathy in one of his interviews. I created a complete overview of machine learning concepts seen in 27 data science and machine learning interviews Hey everyone, During my last interview cycle, I did 27 machine learning and data science interviews at a bunch of companies (from Google to a ~8-person YC-backed computer vision startup). It is useful from time to time and I like having it as reference The Hundred-page Machine Learning Book, Andriy Burkov book. pycmfgia vczk axgf diondz dctbc dlhfy zwptz brwuq fxqhs gljyhye