This weekly meetup will cover whiteboarding, interview questions, pair programming, and the regularly scheduled algorithms study group will be covering machine learning algorithms!
We also have a speaker this week! Justin Palmer, a machine learning guru, will give a talk about his experiences in the industry.
7:00 Welcome and Kickoff
7:10 Presentation: Justin Palmer on ML
8:00 Choose Your Own Adventure :
Algorithms Lesson: Machine Learning: Recommender Systems
White Boarding: Solving algorithms & technical problems
Mock Interviews: Typically asked technical questions, from behavioral questions to logic and technical knowledge
9:00 Attendees Depart
About Machine Learning
We'll be watching videos and discussing the concepts behind machine learning, including supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks), unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning), best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). The course will also draw from numerous case studies and applications, so that you'll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas. To read more about the course, look to: https://www.coursera.org/course/ml
Week 1: Supervised and Unsupervised Learning
Week 2: Linear Regression: Cost Function and Gradient Descent
Week 3: Logistic Regression
Week 4: Neural Networks -- Representation
Week 5: Neural Networks -- Learning
Week 6: Advice for Applying Machine Learning
Week 7: Machine Learning System Design
Week 8: Support Vector Machines
Week 9: Clustering
Week 10: Recommender Systems
Please note: this week is the last event of the series; Algorithms and Interview Prep will be taking a break for the month of May (we will miss you all!). We will commence on the first Monday of June with the start of our next course. Stay tuned!
This event is intended to be exclusively open for people who identify as women -- queer and transgender friendly.