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Found 11 results

  1. Undergrad Institution: (School or type of school, such as big state, lib arts, ivy, technical, foreign (what country?)) Masters Institution: (if applicable, otherwise delete this)Major(s):Minor(s):GPA in Major:Overall GPA:Position in Class: (No numbers needed, but are you top? near top? average? struggling?)Type of Student: (Domestic/International, male/female, minority?)GRE Scores (revised/old version):Q:V:W:TOEFL Total: (if applicable, otherwise delete this)Research Experience: (At your school or elsewhere? What field? How much time? Any publications (Mth author out of N?) or conference talk
  2. How does each of the universities fare in ML research at Masters level (please justify, that would be very helpful :)? What is the placement scenario at each of the universities? Please try to rate the universities out of 5 with 0.5 increments.
  3. I urgently need feedback on my SoP draft for my application for a Master's in Computer Science. Anyone willing to help? I'll PM the SoP to you. Thanks in advance
  4. GPA: 3.37 TOEFL: 115 GRE (unofficial): V164 Q168 I want to pursue a Master's degree with a focus on machine learning and / or natural language processing, but I'm having a difficult time determining the range of schools I should be applying to. Ultimately, I would like to get a PhD at a top 20 university, and get involved in CS research at a competitive R&D division or laboratory. Therefore, it's important for me to find a place that is productive in terms of research in ML / NLP. I'm especially interested in grad schools in Canada, but I'm certainly open to other suggestions. To
  5. Hola! I am having a tough time selecting universities to apply to for MS -CS (AI / ML ). Tough cause I am trying to shortlist universities that will take me and are ranked in the top 50. Profile: GRE: 169Q, 158 V, 4 AWA TOEFL: 117 GPA: 7.2 ( 65% Mumbai university) 3-4 projects 2 years work experience (software developer) Please help me shortlist universities as safe/mod/ambi. Right now I am looking at - ASU, UC Davis, UCI, Virginia Tech, Indiana bloomington.
  6. Hi I have received 2 admits for MS in CS from UCLA and Columbia University. I am very confused and unable to decide one. Any inputs on which one i should lean onto? Pros/Cons of both? I am interested in ML/AI.
  7. 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 program. I
  8. Hi, I have an admit from Rutgers University for masters in fall 2017 (AI/ML). I looked around on linked in and looks like the alumni network of Rutgers is not very strong in the field of computer science. How will it impact my job oppotunities after MS. Should I even go there ?
  9. Looking at a masters in CS, either coursework or research (I likely will not be pursuing a PhD). Profile: School: Current junior at school ranked ~60th in CS in the south. GPA: Major: 4.0, Overall 3.90 Research: Working with a professor for a year, name on a paper and REU funding for next semester. Internships: Some industry internships at local companies and FinTech in NYC. GRE: Not taken yet, expect to target SAT roughly (800R, 700M) or better. Strengths: 1) Good GPA 2) Professor I do research with doesn't hate me. Weaknesses:
  10. Hi,I am a 4th-year student from Anna university, Chennai (India).My profile is:8.87 CGPA (till 6th sem)320 GRE (163 quants/157 verbal; 4.0 AWA)TOEFL - yet to take (expecting 105+)Papers/Research published : NoneExperience:2.5 months summer research internship at Indian Institue of Technology-Madras (IIT-M) in Machine learning.3-4 projects done in machine learning (all in github profile)Recommendations: Expecting 3 from my univ profs and 1 from my IIT-prof (internship guide)Interests: AI (specifically, machine learning) Univs I have selected so far:Top preferences:Univ of California - LA, SD ca
  11. Hi, I have been fortunate to get two wonderful offers: Berkeley and UW. I would appreciate any comments about them and advice on where to go. I visited both places, and liked both universities. Both cities seem to be huge tech hubs (Berkeley more so than Seattle, but the latter is great too), have good weather, and look gorgeous. I can see myself doing good work at either place and also living comfortably. For many people, Berkeley would almost look like an obvious choice, but surprisingly I find myself leaning towards UW. I have summarized my reasoning below. Am I shooting myself in the
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