Classic Machine Learning

Details

Registration NEEDED at:
https://mldlbootcamp.eventbrite.com?discount=VALLEYML40
Early bird discount of 40% ends by June 30th.
Attendees can get IEEE PDH Certificate from IEEE Continuing Education.

This is one of the workshops in Machine Learning and Deep Learning Boot Camp, which is available to register as a complete course of 8 workshops and also as a custom package of individual workshops.

Entire Program schedule along with instructor bios can be downloaded here as a PDF. https://drive.google.com/file/d/1xjiqpf_w0sgHsoU-0NeTHMxCG02DlF-m/view?usp=sharing

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Instructors: Dr. Kiran Gunnam

What you will learn / Topics that will be covered:
1. Intuitive Treatment
• Fundamentals of Machine Learning: Traditional machine learning, Machine learning techniques - Supervised, Unsupervised, Reinforcement, Imitation, Parametric/Non-parametric algorithms, Generative models/Discriminative models
• Overview of machine learning algorithms - Linear Regression, Logistic regression, Support Vector Machines, Nearest Neighbors, Decision Trees, Gaussian Mixture Models, Hidden Markov Models, Dimensionality reduction, Recommender system
• How to build an end to end application - Understanding challenges and selecting right machine learning algorithm, Data Preprocessing, Evaluating Model
• Data Pipelines in Various Applications

2. In-depth Treatment
• Support Vector Machines (SVM)
• Recommender System

3. Hands-on Practice
• Linear Regression
• Logistic regression
• K-Means algorithm
• k-Nearest Neighbor
• Decision trees
• Support vector machines
• Dimensionality reduction
• Recommender systems

Target Audiences:
Engineers, researchers, practitioners and students who are interested in classical machine learning and its implementations. This workshop will particularly benefit people who intend to develop classical machine learning techniques and applications and/or want to pursue a career in data science and machine learning.

Prerequisites:
Basic knowledge of Linear algebra, Probability, and familiarity with Python and Tensorflow basics

Upon completion of this course, you’ll be able to start solving problems using Machine Learning such as medical diagnosis, spam detection, customer segmentation, product recommendation.

Register at http://mldlbootcamp.eventbrite.com/?discount=VALLEYML40 for Early bird discount of 40%! Early bird tickets till June 30th.

The above link has an embedded discount code VALLEYML40 to get 40% discount. Early bird tickets (40% discount) last till the end of June.
Regular registration [https://mldlbootcamp.eventbrite.com?discount=VALLEYML25 ] (25% discount code VALLEYML25) period is from July 1st to August 22nd.
Late registration [https://mldlbootcamp.eventbrite.com/?aff=vml ] (no discount) starts from August 23rd.

Publicity Sponsors:
IEEE Signal Processing Society, Santa Clara Valley Chapter
ACM San Francisco Bay Area Chapter
Silicon Valley Engineering Council
Lehigh University
Z-Park Silicon Valley