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Free workshop - Introduction to Machine Learning and Live Demo

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WeCloudData Inc.

80 Bloor Street West, Suite 500

Toronto, ON M5S 2V1

Canada

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Event description

Description

Topics:

- Introduction to Machine Learning

- Live Demo: Getting started with Keras for Deep Learning



WeCloudData as one of the leading Data Science training bootcamps in Toronto proudly annouce the return of our best 'Machine Learning' course. This information session will introduce you to the field of 'Machine Learning'. Students who choose to take this course will be working on real problems in classification and regression with supervised and unsupervised learning approaches. Students will explore sophisticated model evaluation approaches (cross-validation and bootstrapping) to make the models as generalizable as possible.

Our Instructor

Hayden Liu

Data Scientist

Hayden Liu is currently a data scientist working on messaging app optimization at a multinational online media corporation in Toronto. He is focusing on social graph mining, user demographics and interests prediction, spam detection, and recommendation systems. He has worked for several years as a data scientist in real-time bidding programmatic advertising, where he applied his machine learning expertise in ad optimization, click-through rate and conversion prediction, and click fraud detection. Hayden earned his degree from the University of Toronto, and published five IEEE transactions and conference papers during his master’s research. He is also a machine learning education enthusiast, and has authored books “Python Machine Learning By Example” and “R Deep Learning Projects”.

Who is this course for

  • This course is part of the skill-based data science track course series and is intended for learners who have basic python or programming background, and want to apply statistics, machine learning, information visualization, recommender system, and natural language processing techniques to gain new insight into data. Only basic statistics background is expected, and the first course contains a refresh of these basic concepts. Learners with a formal training in Computer Science but without formal training in data science will still find the skills they acquire in this course valuable in their studies and careers.

Prerequisite

-Python programming

-Statistics and Linear Algebra

-Ideally who have taken the "Python for Data Science" or equivalent courses

-Strong curiosity and a passion for learning and applying machine learning technologies in real life

Length

-48 hours

Schedule

-Sunday, from 2:00 PM to 6:00 PM

How is this course delivered

  • This classroom-based course is delivered with 40% lecture, 20% labs and 40% project
  • You will meet the instructors and teaching assistants in person and learn with your peer students
  • You will work on hands-on projects to aid you build your data science portfolio that is often the key to a successful job placement
  • You will work with your peer students in group on data challenges such as Kaggle
  • Use cases and best practice discussions will be delivered via Slack App
  • Our teaching assistants will help you with your questions throughout the learning period
  • One on one chat with our instructors and mentors
  • Resume help and suggestion upon completion of the course
  • Job referrals


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Location

WeCloudData Inc.

80 Bloor Street West, Suite 500

Toronto, ON M5S 2V1

Canada

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