Data Science Intermediate

Machine Learning

Machine Learning, R
Block71, Ariobimo Sentral, Jakarta
8-10 November, 2017
Time: 6pm - 9pm
15 participants
Difficulty: Intermediate

Days

Course details :

This 3-day intermediate level workshop is catered to machine learning practitioners with an elementary understanding of R programming. It covers a series of common classification algorithms as well as text mining case studies in a highly practical fashion.

Learning from data is virtually universally useful. Master it and you’ll be welcomed nearly everywhere! ~ John Elder, Elder Research

We will extrapolate from the algebra behind regression models to understand the statistical details of a logistic regression in the first half of this workshop. We’ll also explore how data scientists deal with textual data as far as text mining, classification (prediction), and language models is concerned.

Please bring along:

1x Laptop
Purchased ticket (from organizer’s website)

In a nutshell

Logistic Regression
Day 1
Probabilities & Odds
Day 1
Model Interpretation
Day 2
Law of Probability
Day 3
Text Mining & Model Optimization
Day 3
Text Classification in Practice
Day 3

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Trainer

Samuel Chan

samuel@algorit.ma

Detailed Syllabus

Syllabus: Data Science Intermediate

8 November 2017

Logistic Regression
Understanding Odds
Probabilities & Odds
Log of Odds
Sigmoid Curve

9 November 2017

Model Interpretation
Naive Bayes
Bayesian Probabilities
Sparse Matrix
Text Classification

10 November 2017

Text Mining
Model Optimization
Classroom Project: Classification tasks using a blend of 3 models

This workshop will cost 3 workshop credits for subscribers. Non-subscribers are welcomed to participate at a cost of IDR4,000,000.

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Workshop Receivables:

Workshop Lecturer’s Notes
Including 2x Course Books (PDF), HTML files, course transcripts (if any).
Highly-accelerated Learning
Learn under the assistance of mentorship of our lead instructor and a band of qualified teaching assistants throughout the 3 day course.
Certification of Completion
Show current and prospective employers that you’ve completed the course with a signed certificate of completion.
Quality Learning Environment
We pay meticulous attention to the logistical details of our workshops: quality audio and visual setups, comfortable sitting arrangements, small group size. Dinners are included for evening workshops.
Supplement Materials
Receive supplement datasets to practice on, reference notes, working files (R Notebook or Jupyter Notebook), and other materials that will help you master the topics.

Data Science Intermediate Series

Workshops in our Data Science Intermediate series are tailored to R programmers that are taking their first steps into data science and machine learning.

Students are assumed to have a working knowledge of R and ideally some proficiency in statistics / mathematics / algebra. Consider taking our Data Science Fundamentals workshops instead if you have no prior programming experience or statistics knowledge:

Past Workshops in this Series:

Students work through tons of real-life examples using sample datasets donated by our team of mentors and corporate partners. We believe in a learn-by-building approach, and we employ instructors who are uncompromisingly passionate about your growth and education.