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  1. I am very keen to apply to the masters program in machine learning at cmu. However, I am unclear if my background is fit to get through the cmu admission criteria. My background: I have an undergrad degree in Economics. The course covered Statistics, linear algebra and calculus extensively. While I have done coding on my job, I do not have coursework experience/credits on programming. Want to clarify the following: The minimum criteria at cmu mentions this- "Incoming students should have good analytic skills and a strong aptitude for mathematics, statistics, and prog
  2. Hi everyone, I was wondering what master programs in AI or ML, especially in europe, but not exclusively, manage to place students in US phD programs, or in very good industry internships, provided one does well enough. Just according to your experience, of course. I already know about the most prestigious ones, life UCL, Oxford, EPFL, ETH, Cambridge. Can you think of some that are perhaps also less slightly selective? Like I said, I prioritize europe, but somewhere else can be fine, too.
  3. I am mainly interested in Machine learning and Computer vision. The confusion exists as I am told ETHZ is clearly better in terms of research, so that will help if I decide to go for a PhD later. On the other hand, job opportunities are much better in US, so if I dont go for a PhD, UCLA holds an advantage.
  4. Hi everyone! I got offers from Columbia''s Department of Systems Biology and the Computational Biology program at Sloan Kettering. I'm having a hard time choosing. My interests are in systems and computational biology, structural biology, and using / applying machine learning. Does anyone here have experience with these two institutions? The fact that Columbia is a full-fledged university with CS and math departments is a draw, but I"m not sure really how important a factor that is. I'm curious what the departments/institutions are like, the quality of research, how they're perceived externall
  5. So here's the dilemma: I'm a pure math guy who's mostly interested in theoretical computer science, but also partly interested in theoretical machine learning. I've been accepted with similar funding yada yada to both UCLA and UC Irvine's CS PhD programs. The professor at UC Irvine more so matches my interests (graph theory, approximation algorithms, pure math-y stuff) and he's also highly distinguished, coming off a 15 year stint doing theory at Georgia Tech. The professor at UCLA is more engineering focused. There's a few questions I need answers to influencing my decision:
  6. Education: B.Tech in CS, Jamia Millia Islamia (9.31/10), M.Tech in CS, IIT - Delhi (8.39/10) I have following publications, please suggest some moderate and safe universities / Profs. for PhD in ML (NLP/CV/Speech Processing): Published / Accepted 1 Interspeech (Tier-1), 2 CICLing (Tier-2), 1 IEEE AVSS (Tier-2), 1 IJCAI Affective computing workshop (Workshop in Tier-1 Conference), 2 NAACL WASSA workshop (Workshop in Tier-1 Conference), 2 NLDB (Tier-2), 1 IEEE Indicon (National Conference). In Review: 1 WACV 2020, 1 IEEE Transactions, etc. Scholar Profile: https://schola
  7. Education: B.Tech in CS, Jamia Millia Islamia (9.31/10), M.Tech in CS, IIT - Delhi (8.39/10) I have following publications, please suggest some moderate and safe universities / Profs. for PhD in ML (NLP/CV/Speech Processing): Published / Accepted 1 Interspeech (Tier-1), 2 CICLing (Tier-2), 1 IEEE AVSS (Tier-2), 1 IJCAI Affective computing workshop (Workshop in Tier-1 Conference), 2 NAACL WASSA workshop (Workshop in Tier-1 Conference), 2 NLDB (Tier-2), 1 IEEE Indicon (National Conference). In Review: 1 WACV 2020, 1 IEEE Transactions, etc. Scholar Profile:
  8. ECE undergrad from a top 20 university in India. 329 GRE, 9.32/10 GPA (ranked third by GPA in my major). Taken most of the basic and some advanced coursework in CS (around 12 courses), with a number of MOOCs to augment it. Two month-long software developer internships at startups, one research internship at my university in ML and Networks, one research internship in Germany working on state-of-the-art Neural Nets for combinatorial optimization. One semester research project submitted as a paper to a top Robotics conference, and one research project coming up with Mercedes Benz India working o
  9. Hello everyone, I am a Physics and Mathematics undergrad. I want to get into the field of Machine Learning and AI. Based on my background, what major should I choose in graduate school? I am confused between Computer Science and Statistics. Being a math and Physics major, how hard will it be for me to get into a good CS school?
  10. I have an admit from ucsd(no funding) vs kth(tution scholarship). I'm really confused which one to choose. UCSD is more recognized and is near silicon valley, but kth will allow me to be debt free after studies. But wages in sweden are low. Can anyone give their suggestions/share their experiences at any of these?
  11. Hi Everyone, I'll be graduated in August 2019 from my engineer degree in computer science. This engineer degree is a study of 3 years in apprenticeship. I did the first year as a software developer, and since september 2017, I continue as an artificial intelligence engineer with IBM. After that, I would like to apply for another master of research degree with a major in computer engineering (Machine Learning). So, I need your advices. Thank you in advance for your help. Regards Zoumana KEITA
  12. I'm interested in pursuing a PhD&career in either data science or machine learning in the future, but don't have an undergrad degree in CS, data science, machine learning, etc. and discovered my interest late so I've only taken 1 intro programming course and I'm assuming they have pretty rigorous pre-reqs I majored in Physics at Cornell (cum.~3.6, 3.3 in major) and have had a couple years of research experience in multiple settings (working on first publication). I'd be willing to take a masters program in between, but wondered what my best option would be to make the transitio
  13. Hi all, I am an international student at Purdue majoring in computer engineering and I am now currently a freshman. I now have a GPA of 4, which I know is not impressive since I am a freshman, but I am getting ahead of the usual schedule, so there should be more time for me to do some research stuff in sophomore, junior, and senior years than usual students. So I am doing research this summer in Beijing, China, with a well-known Chinese professor whose h-index is more than 67 (lowered because he has two accounts in Google Scholar with the other one 54) in, hopefully, machine learning from
  14. What are the main research focuses of the Yale Statistics Department? For someone interested in machine learning, statistical genetics, and computational methods, would it be a good fit? Any general pros/cons about the department? I know it's a small department, so wondering how its size sets its apart from other institutions (in both good or bad ways).
  15. Could you kindly evaluate my profile and let me know about my chances for admission at the below-mentioned universities? Thanks. I want to pursue PhD in computer science, specifically in fields related to computer vision and image processing. List of schools planning for: MIT, CMU, Oxford, Cambridge, UIUC, UCF, UMD, UMass, SUNY, U Toronto, Georgia Tech, U Texas Austin, Caltech, EPFL. Credentials: GRE: 331/340, AWA: 4.0/6 GPA: Masters (M.S) with 3.85/4 at UC Santa Barbara. Masters (M.tech) from IIT (India) with cgpa: 9.01/10. Bachelor's CGPA: 8.82/
  16. Hello, I am a sophomore/junior at Pennsylvania State University in Computer Engineering. I plan to graduate in three years and I am conducting undergrad research. My cumulative GPA is 3.74/4.00. I want to attend grad school at a top 10-25 program in Machine Learning if possible. I wanted some advice on things I could do that could make me stand out and if shooting for top 10-25 programs is practical. Thanks
  17. Hello all, I have applied to UBC, UofT, UAlberta, UOttawa, Queen's, Mcmaster for MS in CS programs. I am hoping to get admits from UBC and/or UofT. Here is my profile. I have no publications. Strong academics (8.65) from a good college from Gujarat,India. IELTS 8.0 bands. No GRE. 3 internship stints and 2 technical training stints. (2 of the internships were on Java and Cloud/ML) Strong leadership skills and extra-curricular activities as well. I have formed a strong SOP mentioning my clear vision and broad interests in the field of AI, ML , DL and CLou
  18. Hi all, It has been quite the journey for me to post on this forum. I tried creating an account multiple times but got some type of error before successfully creating it using a gmail account. Anyway, I'm from a senior year undergraduate from Nanyang Tech in Singapore and I'm considering a PhD in the US (in machine learning). As the deadlines approach in a couple months, I can't help but wonder if I have chosen the right universities to apply to. Some background about me: 3.54/4.00 cGPA (approx.) I was on the accelerated program, completing a 4 years bachelor degree in 3.5 yea
  19. Undergrad Institution: Large State School Major(s): Mathematics Minor(s): Statistics GPA: 3.95/4.00 Type of Student: Domestic White Male Grad Institution: Same Large State School Concentration: Mathematical Statistics (Masters) GPA: 4.00/4.00 GRE General Test: Q: 167 (92%) V: 165 (96%) W: 4.0 (60%) Programs Applying: Statistics PhD Research Experience: 1 Peer-reviewed publication, 2 summers of research as an undergrad, presented at local/state conferences for undergraduates (won some minor awards), Graduate Research Assistant for one year, which I
  20. Hi! Please I need help trying to figure out if I have chances to get admitted to some MS CS Programs. Here is my profile: Research Focus; Machine learning (Deep learning, reinforcement learning, unsupervised learning) Final Objective: PhD from a US university. Looking to work as a professor or a research scientist in industry after graduation. Undergraduate: BS in EE from an ABET accredited university in South America (TOP 500 worldwide, best in my country) Position in class: Class topper Research experience: Small projects in signal processing, controls and
  21. Hello I'm planning to apply for Ph.D. in Machine Learning(Fall 2018). I've been researching a lot about various colleges where I would want to apply. I have made a list of places according to the area of my interest and the research that's currently going on. I would be really grateful if you can help me in selecting from the lot on the basis of the value of the place and the availability of funding. These are the two most important filters I want to apply on my list. A number of 10-15 universities would be helpful. PS: I understand that selection of a college is based on othe
  22. Cross posting it from the Computer Science thread: I've got admits from University of Colorado, Boulder and University of California, Davis, both for MS CS programs. I'm interested in machine learning (and NLP, recently) and I'll probably not be pursuing a PhD after MS. From what I've found, UCD is somewhat cheaper overall and has marginally better ranking in ML but is pretty poor NLP wise whereas CU Boulder is great in NLP. Research interests line up in both schools. No funding in either, and as far as I'm aware, job opportunities are somewhat better in California than Colorado becaus
  23. I've got admits from University of Colorado, Boulder and University of California, Davis, both for MS CS programs. I'm interested in machine learning (and NLP, recently) and I'll probably not be pursuing a PhD after MS. From what I've found, UCD is somewhat cheaper overall and has marginally better ranking in ML but is pretty poor NLP wise whereas CU Boulder is great in NLP. Research interests line up in both schools. No funding in either, and as far as I'm aware, job opportunities are somewhat better in California than Colorado because of the tech scene. My main issue is whether a degree
  24. Hi. I'm a CS student (Bachelor's + Master's), who got accepted to Princeton for a CS PhD (Machine learning). I'd applied to a ton of other places (ten in total), but got rejected from all of them (apart from an MS in Data Science at CMU which I rejected for various reasons). Now, I wanted to defer the PhD for a year, since having been in academia for pretty much all my life, I think it might make sense to see how the tech functions in the "real world": a perspective I don't think I gained enough during my internships or undergrad. I also wanted to do this because I'm a little tired o
  25. I have been admitted to the Masters program at Virgina Tech, Blacksburg Campus. I have completed my undergraduation in electrical engineering. My work experience lies in the automotive industry. My area of focus is in Software and Machine Intelligence or Signals and Systems. I could choose between these two. I intend to study subjects concerning Machine Learning and work towards a thesis in autonomous systems. Since, I do not have any substantial coding experience, just self-taught Python etc., I would like suggestions on choosing the coursework for the graduate progra
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