Reddit machine learning

I want to learn machine learning just to make some AIs to play video games for me, improve macros, or just use it to mess around and make hobby projects like programs that search the web for me. I just finished learning multivariable calculus and portions of linear algebra and probability theory, but I do not enjoy the math so much.

Find the best posts and communities about Machine Learning on Reddit. ML in Windows, Bing, Visual Studio etc are made with ML.NET. Reply reply. PrototypeV5. •. Note: Not having all the libraries in C# is an opportunity to create them (which allows you a hands-on opportunity to understand the algorithms). Reply reply. Individual-Trip-1447. •. Yes, C# is suitable for AI (Artificial Intelligence). Shopping for a new washing machine can be a complex task. With so many different types and models available, it can be difficult to know which one is right for you. To help make th...Looking for ways to increase your business revenue this summer? Get a commercial shaved ice machine. Here are some of the best shaved ice machines. If you buy something through our...Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélien Géron. Deep Learning with Python by François Chollet. Pattern Recognition and Machine Learning by Christopher M. Bishop. Machine Learning by Kevin P. Murphy. The Hundred-Page Machine Learning Book by Andriy Burkov. Anything to do with machine learning (especially deep learning) and Keras/TensorFlow. Users share projects, suggestions, tutorials, and other insights. Also, users ask and answer any questions pertaining to ML with Keras.

I’ve read a lot of posts asking for recommendations for textbooks to learn the math behind machine learning so I figured I’d make a self-study guide that walks you through it all including the recommended subjects and corresponding textbooks. You should have more than enough mathematical maturity to work through ESL and the Deep Learning ...Machine learning algorithms are at the heart of many data-driven solutions. They enable computers to learn from data and make predictions or decisions without being explicitly prog... ADMIN MOD. [D] ICLR 2024 decisions are coming out today. Discussion. We will know the results very soon in upcoming hours. Feel free to advertise your accepted and rant about your rejected ones. Edit 2: AM in Europe right now and still no news. Technically the AOE timezone is not crossing Jan 16th yet so in PCs we trust guys (although I ... Other than than those two, the others that helped me were Applied Predictive Modeling (Kuhn and Johnson), Introduction to Machine Learning (Alpaydin), Machine Learning Refined (Watt et al.). And then of course Mathematics for Machine Learning (Deissenroth et al.). Bayesian Reasoning and Machine Learning is also great (Barber) but more …To help you, I've compiled an up-to-date list of 20+ active machine learning and data science communities grouped by platform. 1. Reddit. Reddit is a powerhouse for many active forums dedicated to all areas across AI, machine learning, and data science. Here's a list: r/machinelearning (2M+ members) r/datascience (500K+ members)03-Jun-2023 ... Not too late, but first start with the basics: Math & coding, then worry about learning ML. No point trying to get into the NFL without first ...

Learn how to use Reddit's machine learning datasets for content moderation, sentiment classification, and more. Find out the best Reddit datasets for …To help you, I've compiled an up-to-date list of 20+ active machine learning and data science communities grouped by platform. 1. Reddit. Reddit is a powerhouse for many active forums dedicated to all areas across AI, machine learning, and data science. Here's a list: r/machinelearning (2M+ members) r/datascience (500K+ members)A Roadmap for Beginners in Machine Learning with many valuable resources for any ML workers or enthusiasts + how to stay up-to-date with news This guide is intended for anyone having zero or a small background in programming, maths, and machine learning. There is no specific order to follow, but a classic path would be from top to bottom.Ultimate Guide to Machine Learning - Main Book with everything about Machine Learning Algorithms, Optimization Techniques, Neural Networks, Deployment, etc. It is based on using libraries like Sci-Kit Learn and Pytorch. Mathematics for Machine Learning - Basic Math that can help you understand what is happening inside the Machine Learning ...

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fturla. • 2 yr. ago. The best value GPU hardware for AI development is probably the GTX 1660 Super and/or the RTX 3050. The best overall consumer level without regard to cost is the RTX 3090 or RTX 3090ti. If you want better performance, the Nvidia workstation and server line of GPU products will give you a substantially better performance ...When you're ready to tackle implementation of ML algorithms yourself, you should be able to do it from a pretty anemic guide. I implemented my recommender system from a single equation. The water simulation I did in college was the same, come to think of it. If an algorithm seems impenetrable, and you need a line-by-line guide, maybe you need ...30-Dec-2022 ... Think of it like this - ML is mostly concerned with prediction, while statistics also cares about interpretability. As a result, most ML methods ...1. Getting Into ML: High Schoolers Guide. 2. Getting Into ML: Engineers Guide. 3. Getting Into ML: Academics/Researchers Guide. 4. Getting Into ML: Hackers Guide. Looking for …18-Sept-2022 ... Remove r/MachineLearning filter and expand search to all of Reddit ... r/MachineLearning icon. Go to MachineLearning ... machine learning projects?

If you’re itching to learn quilting, it helps to know the specialty supplies and tools that make the craft easier. One major tool, a quilting machine, is a helpful investment if yo...This study aimed to extract posts of suicidality among opioid users on Reddit using machine learning methods. The performance of the models is derivative of the data purity, and the results will help us to better understand the rationale of these users, providing new insights into individuals who are part of the opioid epidemic.There’s more to life than what meets the eye. Nobody knows exactly what happens after you die, but there are a lot of theories. On Reddit, people shared supposed past-life memories...Looking for ways to increase your business revenue this summer? Get a commercial shaved ice machine. Here are some of the best shaved ice machines. If you buy something through our...If you work with metal or wood, chances are you have a use for a milling machine. These mechanical tools are used in metal-working and woodworking, and some machines can be quite h...Coursera Machine Learning by Andrew NG (Stanford) - it is more theoretical course, ±3month long. Without using Python, but Octave/Matlab . Python assignments for the machine learning class can be found in this github repo . Coursera Applied Machine Learning in Python (University of Michigan) - smaller course in terms of time, 4 weeks, …05-Jan-2024 ... Any good Udemy courses for machine learning (or other good resources for learning as a beginner? · Machine Learning A-Z™: Hands-On Python & R In ...If you are looking to start your own embroidery business or simply want to pursue your passion for embroidery at home, purchasing a used embroidery machine can be a cost-effective ...1 Introduction. The field of stress analysis and sentiment analysis of posts on microblogging sites has been blossoming in recent years. Mental stress leads to …Given the nature of machine learning tasks, I'm prioritizing not just raw processing power, but also substantial memory capacity to support the intensive data processing involved. I'd love to hear your thoughts, suggestions, and any improvements you might have in mind to optimize this setup for ML applications.Some of the benefits to science are that it allows researchers to learn new ideas that have practical applications; benefits of technology include the ability to create new machine...

ADMIN MOD. [D] ICLR 2024 decisions are coming out today. Discussion. We will know the results very soon in upcoming hours. Feel free to advertise your accepted and rant about your rejected ones. Edit 2: AM in Europe right now and still no news. Technically the AOE timezone is not crossing Jan 16th yet so in PCs we trust guys (although I ...

Reddit is a popular social media platform that boasts millions of active users. With its vast user base and diverse communities, it presents a unique opportunity for businesses to ... It's a rendering technique that uses differentiable equations. Of course this is used in machine learning, but the DR itself doesn't have any predictions or "intelligence". Neural rendering is rendering using deep learning. So, of course it should need to use some form of differentiable rendering, but it goes a bit farther. Reddit disclosed the Federal Trade Commission is looking into its sale, licensing or sharing of user-generated content with third parties to train artificial …Reddit Machine Learning Engineer Interview Guide. Interview Guide Aug 01 3 rounds. The role of a Reddit Machine Learning Engineer is to develop and deploy machine … Begin by grasping the fundamental concepts of mathematics, particularly linear algebra, and calculus, which serve as the backbone of machine learning algorithms. Familiarize yourself with programming languages such as Python, as it is widely used in the machine learning community. Explore popular machine learning libraries like TensorFlow and ... Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems (2nd Edition) (Aurélien Géron) Approaching (Almost) Any Machine Learning Problem (Abhishek Thakur) Feel free to comment below and add new book recommendations. Honest opinion: Except Andriy Burkov (not-really ...377K subscribers in the learnmachinelearning community. A subreddit dedicated to learning machine learningYeah, the MacBook Pro (with me) is really great. The only concern that I have is that, as far as I know, the GPU doesn't support pytorch or other deep learning framework. Yes, it's true that training in the cloud is becoming the norm, but it is helpful to debug the model locally and then train in the cloud.

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For classification and regression problems with tabular data, the use of tree ensemble models (like XGBoost) is usually recommended. However, several deep learning models for tabular data have recently been proposed, claiming to outperform XGBoost for some use-cases. In this paper, we explore whether these deep models should be a … 5. r/MachineLearning is a Subreddit for Data Scientists and ML Engineers with roughly 2.6M members. It uses a forum format for communication. The subreddit to disc. A compound machine is a machine composed of two or more simple machines. Common examples are bicycles, can openers and wheelbarrows. Simple machines change the magnitude or directi...r/machinelearningmemes. End-to-End MLOps platforms such as Kubeflow, MLflow, and SageMaker streamline machine learning workflows, from data preparation to model deployment. These platforms include components such as source control, test and build services, deployment services, model registry, feature store, ML metadata store, and ML …In this article, we will discuss more than 70 machine learning datasets that you can use to build your next data science project. Machine Learning Datasets. These are the datasets that you will probably use while working on any data science or machine learning project: Machine Learning Datasets for Data Science Beginners. 📷 1.Acer nitro 5 would be an obvious choice as it has a gpu and training deep learning models require gpu. Although m1 macbook has been given the tensorflow support it still has to go a long way. Windows + cuda is better for deep learning, but you having “begun your ML journey”, not sure how much of that you will do.Abstract : Despite their tremendous success in many applications, large language models often fall short of consistent reasoning and planning in various (language, embodied, and social) scenarios, due to inherent limitations in their inference, learning, and modeling capabilities. In this position paper, we present a new perspective of machine ... For now, this is the proposed process: Each week a new voting thread is set up. The proposal with the most upvotes at the end of the week (say Friday or Saturday) will be the upcoming week's paper. A discussion thread for it will be created in r/mlpapers , which will then be crossposted to r/MachineLearning. For now, this is the proposed process: Each week a new voting thread is set up. The proposal with the most upvotes at the end of the week (say Friday or Saturday) will be the upcoming week's paper. A discussion thread for it will be created in r/mlpapers , which will then be crossposted to r/MachineLearning. With enough data, matrix multiplications, linear layers, and layer normalization we can perform state-of-the-art-machine-translation. Nonetheless, 2020 is definitely the year of transformers! From natural language now they are into computer vision tasks. Honestly, I had a hard time understanding its concepts. This post explains the transformer ... ….

I work as a software engineer in machine learning mainly for R&D computer vision models. The day goes: 08 - Check results from model trained overnight, understand them, document. Representing words with words - a logical approach to word embedding using a self-supervised Tsetlin Machine Autoencoder. Hi all! Here is a new self-supervised machine learning approach that captures word meaning with concise logical expressions. The logical expressions consist of contextual words like “black,” “cup,” and “hot” to ... Machine learning algorithms are at the heart of many data-driven solutions. They enable computers to learn from data and make predictions or decisions without being explicitly prog...Using Machine Learning to Solve Reddit’s “Rating-less ” Problem. Looking at the way in which Reddit’s marketplaces work led me to construct an algorithm to help solve the problems posed by the lack of a dedicated rating system. I thought this would be an interesting problem to apply Machine Learning and Python automation to.Michaels is an art and crafts shop with a presence in North America. The company has been incredibly successful and its brand has gained recognition as a leader in the space. Micha...Although machine learning might not sound too complex, there is a shitton of theory behind it. Just keep yourself busy with learning something new every day or two and you should be golden. Reply replyI am not sure which degree is best for getting into machine learning the obvious choice seems to be computer science but I have seen people say that maths, statistics or data …It's a fairly short, 300-ish pages book, but it offers good conceptual descriptions of AI/machine learning concepts, along with an interesting overview of the related technologies available in the Microsoft ecosystem. The code samples are a mix of C# and (inevitably) Python. 2. ryanwithnob. Reddit machine learning, [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1], [text-1-1]