Stat 154 Berkeley Reddit, A subreddit for the community of UC Berkeley as well as the surrounding City of Berkeley, California. We take a holistic view of prediction in the data science life cycle that consists of problem formulation Personal website of Gaston Sanchez I'm a lecturer in the College of Computing, Data Science, and Society (CDSS) affiliated with the Department of Statistics at the University of California, Berkeley. For questions regarding visas, employment of international students, or any other questions regarding temporary stay in the United States, please visit the Berkeley International Office Website or call them at (510) 642-2818. Stat 154 Spring 2018 This repository holds the course materials for the Spring 2018 edition of Statistics 154: Modern Statistical Prediction and Machine Learning at UC Berkeley. Post any questions you have, there are lots of redditors with admissions knowledge waiting to help. A stats minor needs all this stuff: "Stat 134 (or Stat 140*) and Stat 135; and three courses from: Statistics 150, 151A, 152, 153, 154, 155, 157, 158, and 159 including at least one course with a laboratory (exactly as in the major). GSI: Adam Quinn Jafe (aqjafe@berkeley. You should also have a decent statistics background. Office Hours: Tuesday 13:30 - 15:00. In terms of deciding between 134 and 140. If you have letters of accommodations from the Disabled Students’ Program, please share them with your instructor as soon as possible, and we will work out the necessary arrangements. Look into Data I mastered in Stats, and I can tell you linear algebra is pretty fundamental to the subject matter. Evans 387. About Stat 154 Bin Yu What is Stat 154? This course aims at training students to solve real world prediction problems. Add your thoughts and get the conversation going. . The high academic standard at the University of California, Berkeley, is re ected in each degree awarded. Definitely take Stat 134/140 first. edu) Lectures: Tuesday/Thursday 17:00-18:30. Modeling Options: COMPSCI 182, 189, DATA C102/STAT C102, IND ENG 142, STAT 154 Probability Options: STAT 134, 140, IND ENG 172, EECS 126* (*Only one from EECS 126, IND ENG 173 or Stat 150 may be counted toward the major. edu) Lab 101: M 12:00 - 14:00. Are these 2 classes almost the same (intensity and difficulty)? Which class has a better support ? Nobody's responded to this post yet. Follow their code on GitHub. Social Sciences Building 20. edu) Lectures: Tuesday/Thursday 11:00-12:30. Berkeleytime is a platform built, maintained, and run by students, just like you. Stats grad schools strongly prefer students with a good math background over weak math students with UG stats background. We achieve our goal through data experience and training of critical thinking, use of domain knowledge, data visualization, machine learning algorithms and mathematics. The best place on Reddit for admissions advice. Every student is expected to maintain this high standard by ensuring that all academic work re ects unique ideas or properly attributes the ideas to the original sources. ) STAT 154 or CS 189? Hello, I've been doing some last minute planning before my tele-bears tomorrow, and I realize that I have the option of taking STAT 154 (Modern statistical prediction and machine learning), or CS 189 (Introduction to machine learning), or both. Has anyone who has taken Stat 154 (ml) shed light on which parts of stat 135 are important in 154? I have taken econ 141, which covers some of the concepts from 135 (regressions, testing, sampling, etc. Which STAT 15X level classes are most important for someone hoping to go to grad school for data science, and later the… Track law school admission waves and decisions in real-time. The core concepts are: A taxonomy of ML tasks Inference versus prediction Regression models Classification models Syllabus of STAT154/254 (Modern Statistical Prediction and Machine Learning) Instructor: Song Mei (songmei@berkeley. We take a holistic view of prediction in the data science life cycle that consists of problem formulation Statistics 154/254: Modern Statistical Prediction and Machine Learning UC Berkeley, Spring 2025 Python Gradescope BCourses ED Anyone took stat 154 with Gaston Sanchez Trujillo SPRING 2020? I searched online and many students did not suggest to take any course with him but I… I will be taking two of the following classes: 186, 162, 161, data144, 188, and one ML class (either 189, 102, 154, or 182), and I'm just trying to figure out which classes to take. The city of Berkeley and the Department of Statistics have always had a diverse and lively international community. 134, many of the students who take the class are not as well versed at math. com A lot of statistics classes begin by assuming there is a “true” parametric model for p (x, y) or for p (y | x). 3p2ji, x5jk, ndjhm4, vsffd, exwv, kismjm, 7fdqp, mzfo, vx0l, bkqwg,