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ALT.Labs 2 - Python Machine Learning - Introduction to Supervised and Unsupervised Learning

Home / EVENTS

ALT.Labs 2 - Python Machine Learning - Introduction to Supervised and Unsupervised Learning

The ALT.Labs series aims to give participants of the community detailed hands-on expertise on the latest technologies in the current industrial revolution ranging from IOT, Cloud Computing, Robotics, AI & Big (Extreme) Data, and Cyber Security.In this series, as a continuation to the data science portion, the trainer/speaker will go through the basics of Machine Learning using Python 3, a powerful and prominent language used widely for data analysis and data science.The participants will be taken through the basic theories of Supervised and Unsupervised Machine Learning as well as some algorithms. From there, the participants will also be given some real-life examples and have a hands-on coding session using Python 3 and its machine learning library.As this will be a hands-on session, the participants are expected to have their own laptop installed with Python 3 and Jupyter Notebook before coming to the session, or they will have an option of running their codes on Google’s Colab.AgendaTimeActivity9:00 AMArrival and Registration9:30 AMALT.Labs12:30 PMLunch (Lunch/ Refreshments not provided)1:30 PMALT.Labs3:00 PMEndRequirements Bring own laptop Have a pre-installed version of Python 3, Jupyter Notebook; or Internet access for Google Colab. If you don’t already have Python and Jupyter Notebook installed and wish to install on your local machine, we recommend installing it via Anaconda, go to www.Anaconda.com, and install the latest version of Python 3 depending on your laptop OS This is an intermediate Data Science session, so participants are expected to have some working knowledge on Python and its libraries such as Pandas, and Numpy Bring extension cords

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Home / EVENTS

ALT.Labs 2 - Python Machine Learning - Introduction to Supervised and Unsupervised Learning

Jul 6, 2019 12:00 AM

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12:00 am

MaGIC (Malaysian Global Innovation & Creativity Centre)

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The ALT.Labs series aims to give participants of the community detailed hands-on expertise on the latest technologies in the current industrial revolution ranging from IOT, Cloud Computing, Robotics, AI & Big (Extreme) Data, and Cyber Security.In this series, as a continuation to the data science portion, the trainer/speaker will go through the basics of Machine Learning using Python 3, a powerful and prominent language used widely for data analysis and data science.The participants will be taken through the basic theories of Supervised and Unsupervised Machine Learning as well as some algorithms. From there, the participants will also be given some real-life examples and have a hands-on coding session using Python 3 and its machine learning library.As this will be a hands-on session, the participants are expected to have their own laptop installed with Python 3 and Jupyter Notebook before coming to the session, or they will have an option of running their codes on Google’s Colab.AgendaTimeActivity9:00 AMArrival and Registration9:30 AMALT.Labs12:30 PMLunch (Lunch/ Refreshments not provided)1:30 PMALT.Labs3:00 PMEndRequirements Bring own laptop Have a pre-installed version of Python 3, Jupyter Notebook; or Internet access for Google Colab. If you don’t already have Python and Jupyter Notebook installed and wish to install on your local machine, we recommend installing it via Anaconda, go to www.Anaconda.com, and install the latest version of Python 3 depending on your laptop OS This is an intermediate Data Science session, so participants are expected to have some working knowledge on Python and its libraries such as Pandas, and Numpy Bring extension cords

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