Is Machine Learning A Fad Reddit Where are you getting 10-year head start from? Pulled directly from your ass? I ...

Is Machine Learning A Fad Reddit Where are you getting 10-year head start from? Pulled directly from your ass? I think that in order to be a researcher, you need a PhD, or some relevant We would like to show you a description here but the site won’t allow us. I think everyone can make an infinite Reinforcement learning in real-time is the only way that we are going to get AI robotics. Is it bad I'm not passionate about biology or medicine? Of course not. The list goes on and on. We would like to show you a description here but the site won’t allow us. And it's how biological systems learn. Imo, machine learning is one of the most overrated things on this sub. Jobs around advanced machine learning are usually in a niche area and typically limited. It got me wondering, from 2020 to 2023, what have been the The goal of the r/ArtificialIntelligence is to provide a gateway to the many different facets of the Artificial Intelligence community, and to promote discussion relating to the ideas and concepts that we know In the future, APIs like Tensorflow and NumPy will allow average programmers to accomplish 90% of what an expert can achieve. We have activists and I know there are similar/exact questions all over Reddit, but they all seem to be a little dated and the ones with the most activity seems to be from at least a few Reinforcement Learning (RL) should be better seen as a “fine-tuning” paradigm that can add capabilities to general-purpose pretrained models, rather than a paradigm that can bootstrap Too many people in the recent years looked at machine learning approaches as a sort of silver bullet solutions. Logical trends in chemical space aren’t a farce- they’re used daily in non-ML methodology approaches and have been So, I don't understand why it's so difficult for deep learning models. With the advent of LLMs, multimodality and “general purpose” AIs which seat on unimaginable amounts money, computing power and data. I'd look into Maria In many fields of machine learning there was no major improvement for quite some time. Hello everyone! As the title suggests, I'd like to ask your opinion (specially for those who are active researchers in ML) regarding which currently hot topics you believe will remain relevant for the next 5 We would like to show you a description here but the site won’t allow us. Samsung Ballie looks like it might be that. The goal of the r/ArtificialIntelligence is to provide a gateway to the many different facets of the Artificial Intelligence community, and to promote discussion relating to the ideas and concepts that we know Let’s take a walk through the history of machine learning at Reddit from its original days in 2006 to where we are today, including the pitfalls and In a way, it leans more on computer science stuff rather than actual machine learning. It's probably a lot worse in social studies since if they fake / tune their We would like to show you a description here but the site won’t allow us. AlphaZero combines this with machine learning by using two empirically trained machine learning algorithms to tweak the traversal order of the tree, by identifying moves that seem likely to be good, The rise of fake news has become a critical issue for information integrity, particularly in low-resource languages, which often lack sufficient digital data and tools for machine learning (ML) and deep . With the rapid advancements in technology, AI and Machine Learning are increasingly being integrated into We would like to show you a description here but the site won’t allow us. This is a subreddit for machine learning professionals. The approach seems like: "ah you build a neural network (or whatever other technique that Gotta be careful here; regression analysis (along with classification) is one of the big buckets in (supervised) machine learning. What's your favorite unpopular Machine Learning method? Are there any methods that you think died out before they reached their full potential? Are there any uncommon methods you know of that are We would like to show you a description here but the site won’t allow us. AI and machine learning definitely isn't going away, and in STEM is going to be an important tool. Now, don't get It's shocking to see just how far TensorFlow has fallen. It's not a mindless bash, it We would like to show you a description here but the site won’t allow us. How about ML/AI jobs? Do you observe a decrease in the number of job openings etc? We would like to show you a description here but the site won’t allow us. Let’s take a walk through the history of machine learning at Reddit from its original days in 2006 to where we are today, including the pitfalls and Reddit is a powerful resource for learning machine learning, offering access to a wealth of information, a diverse community, and real-time insights. With machine learning, especially neural network based models, proofs are replaced with measurements. Particularly if you enjoy working for larger companies, it seems like if you can solidify yourself as a solid ML That's why I'm asking if it's worth it today, in 2024, to dedicate full-time to learning Machine Learning with the goal of doing something meaningful or getting a job. And now I'm becoming more passionate about machine learning and how this can impact my work and the life of others. I don't just think it will stay relevant. An attempt at a nuanced take on how things like ChatGPT, AutoGPT, LLMs, and AI in general are going to affect development jobs from here on out. I’m graduating and want to start a PHD, but feel quite In 2016 Reddit incorporated the Miskey machine learning recommendation service, which looks at user interactions, pulls in data, and is Dear all, When I was a PhD student, it was somehow easy to find relevant papers, as I was on a single topic. Most This may be a silly question for those familiar with the field, but don't machine learning researchers expect any more prospects for traditional methods (I mean, "traditional" is other than deep What area of machine learning do you currently find most exciting? Hi! First year master student in ML/Stats here. WHich fields, that are niche now, will be in high demand in the We would like to show you a description here but the site won’t allow us. Based on a lot of research I've done, it seems like Machine Learning is the "next big thing". However, it should be viewed as a When I started my career as an AI/ML research engineer 2016, I was most interested in two types of tasks – 1. It’s a computer science centric view and against my personal preferences of what machine learning focused roles “should” be like, but from my exp it is accurate. Rather than carefully explaining why code is correct, you have to measure model I entirely get that federated learning can add considerable overhead to collaborative ML projects. They made it so simple but it is so powerfull. Now, I am in industry and I am interested in a wider range of papers because I have to Lmao we can write the entire code in an hour but the machine learning part is what it does on its on. We are so fucked with this fad There's a great talk by Vincent Warmerdam about the power of simple models over machine learning. In my case, my background is in software No. Just came back from a conference, and 95% of the papers involved AI in some way, even for the most trivial things. Hey everyone! 👋 I’ve been on a bit of a deep-dive lately, trying to catch up on all the awesome stuff that’s been happening in the ML space. However, with more and more people I'm doing my MSc thesis in quantum computing/optics and there's lot of buzz about quantum machine learning/using ML to improve generation of exotic states in quantum optics. The task of a research scientist is to design a custom ML model that would be better at solving a specific problem We would like to show you a description here but the site won’t allow us. 8%", but is that The post says "future. But the thing is a lot of lay people might get the impression that it's just BS because a lot of people are The problems and tasks of any particular business don't change. - However, the differentiable programming ecosystem will move We would like to show you a description here but the site won’t allow us. However, the idea of being able to leverage the data of other companies/institutions for mutual gains Yes, learning AI development and Machine Learning is definitely worth it in 2024. New Do you know any extraordinary work in deep learning forecasting? What are yoyr thought on deep learning forecasting? Do you think deep learning is an accurate tool to make predictions? Or deep I'm finishing a 5-year diploma (MSc equivalent) in applied math (focusing on CS and ML). I think a decent way of learning Machine Learning (ML) depends mainly on your education and/or work background and your objective of learning ML. Sure, there are many papers like "this new loss function improves accuracy on imagenet by 0. It's about having The AI community is finally waking up to the fact that machine learning can cause disproportionate harm to already oppressed and disadvantaged groups. A lot of my family members work in medicine. Over the Find the best posts and communities about Artificial Intelligence & Machine Learning on Reddit This research combines the strengths of various machine learning algorithms to design a robust model that performs well across multiple metrics, and uses interpretability analysis to Make your product more relevant to your audience by understanding and predicting their behavior. Reply reply More replies mtlatl • I was literally going to say the same thing, if you look at the maturity of Explore search trends by time, location, and popularity with Google Trends. The Conversion modeling Team plays For the last few decades, classical machine learning has allowed us to improve the lives of many through automation, natural language processing, predictive analytics and much more. We all have heard about the layoffs in tech companies. " - Machine learning is about minimizing loss. The future of machine learning on Reddit is promising, with advancements in machine learning technology allowing for more accurate predictions and greater efficiency. You literally just sit and stare at your laptop while it takes 5 hours for 10 epochs. I'm currently working on my thesis and my advisor straight up suggested I'm 21 years old and currently pursuing a master's degree in theoretical physics in the UK. This thread is filled with discussions about the difficulty of machine learning Discover the top Reddit communities where machine learning and AI engineers share knowledge, projects, and career tips. We share content on practical artificial intelligence: machine learning tutorials, DIY, projects, It seems that ML is saturated in almost all sectors. For those Is AI just a fad like NFTs were 2 years ago? Granted AI has already been around for a long while, but is the current boom of AI just a fad that will die down similar to how NFTs did? Archived post. I would appreciate any suggestions for a model, algorithm, or service that you are aware of that effectively solves this task. To get into strong graduate programs it seems like you need to have very strong research experience (Top-tier publications in the field), which I find a bit overwhelming given that there wasn't any We would like to show you a description here but the site won’t allow us. With so many people wanting to study machine learning in graduate school and PhDs in machine learning pouring out every year, do you think the job market for machine learning research Learning the basics well is the only way to really open up learning about more advanced algorithms without ending up with massive gaps in your knowledge, it's also going to teach you how to adapt Soliciting thoughts on ML careers (in industry or academia), especially in light of machine learning and deep learning hype. In deep learning it propagates this through linear, lstm, and conv layers. Starting to feel I have pretty good grasp on the foundations of the field, and starting to We would like to show you a description here but the site won’t allow us. However, it is fundamentally true that there is a new set of skills being introduced around machine learning models and Python/coding We would like to show you a description here but the site won’t allow us. Given that many graduate schools are sending out their decisions around this time, I keep hearing about how brutally competitive machine learning PhDs are, more so than other STEM research. The 2022 state of competitive machine learning report came out recently and paints a very grim I don't see why it's boring to do more than just coding a machine learning model ; you learn new stuff, explore different domains of CompScience from the user input to the DB and Dashboard. I spent three days attending almost identical presentations that differed only in how the We would like to show you a description here but the site won’t allow us. Machine learning is not (primarily) about writing code. From experience, AI/machine learning is highly, highly dependent on quality of data and it's a lot harder to make "good data" than run a machine learning tool. The value is implicit in I feel like it's not even in computer science / machine learning that this is a huge issue, but for academic studies in general. I think what you really mean is a simple linear regression model We would like to show you a description here but the site won’t allow us. ) those that most humans could do but that would universally be considered tedious and Machine learning, at its core, is just an attempt to automate logical trend discovery. And Apple is supposedly working on their own. I think it will eventually come to Reddit’s lower funnel business is rapidly growing and pushing the heavy ranking web conversion models towards state-of-the-art is critical for continued growth. Honestly, many problems in industry still require basic stats and not even machine learning. I understand how mind blowing the potential of deep learning is, but the truth is, majority of companies in the world dont care about it, or do not need that level of machine learning expertise. I have a strong interest in machine learning and have completed many computing courses as well as Machine learning has been a hot topic in recent years, with its increasing popularity due to its ability to analyze vast amounts of data and provide valuable insights. I'm currently in the beginning stages and I don't want to go into a field that is oversaturated. I work as an applied research engineer at a large non-tech company.