What is Machine learning: Definition and 82 Discussions
Machine learning (ML) is the study of computer algorithms that improve automatically through experience and by the use of data. It is seen as a part of artificial intelligence. Machine learning algorithms build a model based on sample data, known as "training data", in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide variety of applications, such as in medicine, email filtering, speech recognition, and computer vision, where it is difficult or unfeasible to develop conventional algorithms to perform the needed tasks.A subset of machine learning is closely related to computational statistics, which focuses on making predictions using computers; but not all machine learning is statistical learning. The study of mathematical optimization delivers methods, theory and application domains to the field of machine learning. Data mining is a related field of study, focusing on exploratory data analysis through unsupervised learning. In its application across business problems, machine learning is also referred to as predictive analytics.
Hi I am a computer science undergraduate planning to do a master's degree in computational science(scientific computing) winter 2018. Since I have a bachelor's degree in computer science, I want to prepare before I apply for a degree.
As of now I am following basic mathematics from A level...
When I opened up the article https://www.wired.com/2017/01/move-coders-physicists-will-soon-rule-silicon-valley/ I expected to see quantum computing as the next field physicists are to revolutionize. I was surprised to see it was data management and machine learning. I am happy for physicists...
Im trying to solve the following problem from the book 'Learning with kernels', and would really appreciate a little help.
Background information
- Let $\{(x_{1},y_{1}),...,(x_{N},y_{N})\}$ be a dataset, L a Loss function and $H(k)$ a reproducing kernel Hilbert space with kernel $k$. The...
I am doing a Masters in theoretical physics. It's been half a year since I've begun my Masters.
Recently, I find myself intrigued by machine learning and would like to do a PhD in machine learning after I finish my Masters in theoretical physics.
I am rather afraid to break it to my supervisor...
I am currently trying to learn pattern recognition from Pattern Classification by Duda et al. However, this books is a bit too dense for me. I keep hitting walls while trying to read the books (I understand most of the reasoning, but it just becomes too much and too abstract).
Can anybody...
A very interesting blog post (from @hossi).
A program that helps sorting arXiv submissions into categories frequently struggles with crackpot submissions - because they do not fit in anywhere. The program was never designed for it, but is helps finding them.
Hi
What approach should I take if I want to try this with music?
I know the mathematics that are needed to learn neural networks (from what I have read on websites like Coursera). Also, I know basic scientific programming with Python.
I am willing to spend time to learn how to make the...
I am not sure this is the right forum for this -- I have a question about a particular paper:
http://www-users.cs.umn.edu/~sboriah/PDFs/ChandolaCBK2009.pdf
The authors describe 4 heuristics that can be derived from categorical data -- this is in order to map categorical data to numerical...
I have a question about machine learning and the binaries/executables of programs. I'm not really understanding well how machine learning and programs are related. For instance in computer chess or go, they use machine learning (deep learning) to "train a model" or something like that, the more...
So my university offers two programs focused on particle physics. One is simply masters in nuclear/particle physics, the other is masters in mathematical modelling with focus on particle physics.
I want to go into mathematical modelling and I'm choosing what I will focus on. I'm not really...
My only dream in life is to develop a robot that has common sense and wisdom and pretty much be as smart as a human that can help society solve ISIS, food shortages etc.
So I am choosing Computer Science next year for university.
Though I have heard that doing the degree purely is too dry and...
HI everyone. I was just wondering about a career in the IT (I study communication systems engineering, but I'm rather interested in coding, rather than Internet and communcation systems- related stuff). I wanted to ask you, given the advances that technology is making, which skills would be...
Hi everyone. By reading stuff on the Internet, I found many times the correlation between machine learning and NMR, or, better, algorithms that are implemented for that kind of technology( The same goes for PET, or CT scans.
The thing I want to ask is, how much do you think that the two things...
Hi everyone. I was just reading stuff about carreers like "data analyst" or "machine learning jobs", and I found out, by reading various sites, that machine learning people (especially those with CS or stat background) is, and will be, a good opportunity of working, there'll be much jobs in that...
I am a high school student and an avid learner through MOOCs. This spring, there are two MOOCs coming up which caught my interest- one on AI from UC Berkeley(Dan Klein) and the other on Machine Learning from Stanford(Andrew Ng). Though I am inclined towards the Berkeley course, I wanted to get...
I'm a second year student and I've been researching about machine learning. I'd like to start learning more, and I'm wondering if someone could advise me on the appropriate modules to take which would help me in this goal. List of modules: http://www.ucl.ac.uk/maths/courses/undergraduates/
For...
I am going through the tutorial athttp://scikit-learn.org/stable/tutorial/index.html
Could anyone recommend a good book that could accompany this so I can gain a deeper understanding of the methods discussed.
"famous" math problems in machine learning and AI ?
Are there any "famous"(i.e. crucial) unsolved mathematical problems in the field of machine learning or the general study of artificial intelligence?
There is interest in programming computers to solve problems by artificial intelligence...
Hello,
I have an undergraduate degree in EE and I have a passion for mathematics. I'm trying to decide if I should do a masters in signal processing or machine learning. What are the pros and cons of each given the way the industry is? (I live in Bangalore, the tech capital of India, where...
From an article published on the Atlantic ( http://www.theatlantic.com/magazine/archive/2013/11/the-man-who-would-teach-machines-to-think/309529/ ) :
"The technique is called “machine learning.†The goal is to make a device that takes an English sentence as input and spits out a French...
I'm an EE/applied physics student (probably interested in an academic path involving signal processing, programming, computation, mathy stuff) with a hole in my upcoming schedule. The choice is basically between these two courses - numeric linear algebra and a course called "neural networks and...
Hi all,
I recently got very interested in machine learning and neural networks etc. Although I am having a taste for mathematics , I haven't rigorously learned any mathematics course because my background is electronics engineering (masters level). And also I am not a good C or Java...
Hey!
Happy New Year 2013 to all of you!
I am in good mood for learning something new so I need advice.
I'm currently watching the videos for Machine learning from Stanford University, but I'm stuck at Lagrangian multipliers and duality.
I got solid background in Calculus I and II (I read...
I'm working my way through pattern recognition and machine learning using this http://www.cs.pitt.edu/~milos/courses/cs2750/ as a guide.Homework Statement
We have to prove that a binomial random variable x, with a prior distribution for \mu given by a beta distribution, has a posterior mean...
Hello all. I'm sorry if this is a long post but I would love to hear from someone who got into a masters or Ph.D. program in robotics, machine learning, or data mining. I really would just like to know how my chances are of going to a good school and earning financial support for it...
Hi,
I am working on a project that involves classifying many 'situations' where there are some number of objects and the objects can be defined by the makeup and weighting of their parameters. There are probably 200-2000 parameters per object, 1 to 100 objects and hundreds of situations...
This seems to be the new 'it' job in the tech sector and I'm considering getting into this line of work, but because it seems relatively new I'm having trouble finding out what it's like to work as a data scientist. The two things I'm somewhat concerned about is if the work is interesting or...
Hi everyone,
My name is Marlon and I'm a maths major from New Zealand. Recently, I've been very interested in machine learning. The research and potential sounds very exciting to me and I would definitely love to learn more about the subject.
So I have two questions and would be very...
Hi all,
I'm considering doing a masters in either signal processing or machine learning. I have a bachelor's in electrical and electronic engineering, and have a bit of experience (internships mostly) in both industry and research. I was wondering if there are a lot of career opportunities...
Hello, I'm wondering what sort of areas would be useful in postgrad study in machine learning and AI. At the moment I'm in Arts majoring in mathematics and logic/philosophy of science. I'm planning to keep these two majors, as statistics and discrete mathematics will be useful in AI/machine...