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Artificial Intelligence Application - Intermediate Level (July)

Home / EVENTS

Artificial Intelligence Application - Intermediate Level (July)

All our ticket for Artificial Intelligence Application (July) is now sold out. You may find the next Artificial Intelligence Application in September.Session Summary This course will introduce the learner to applied machine learning and neural network with Python, focusing more on the techniques and methods than on the statistics behind these methods.The course will start with a discussion of how machine learning is different than descriptive statistics, and the introduction to the scikit learn toolkit.What Will You Learn? Acquire basic understanding of machine learning and neural networks Develop machine learning and neural network models Develop and build blocks of neural networks Implement machine learning and neural networks application to perform predictive analyticsCourse BreakdownLesson 1: Introduction to Machine LearningLesson 2: Supervised and unsupervised learningLesson 3: Cross Validation and Model Evaluation and SelectionLesson 4: Introduction to Ensemble ModelsLesson 5: Introduction to Neural Network and Artificial IntelligenceLesson 6: Machine Learning and Artificial Intelligence use casesPre-Requisites Basic knowledge of Python and basic linear algebra and probabilityRequired Software PythonRegister today to secure your seats!If you have any enquiry about the course, please email us at justask@mymagic.myPlease be informed that we will get back to you within 3 working days.PLEASE BE INFORMED THAT F&B IS NOT PROVIDED DURING THIS TRAINING

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Home / EVENTS

Artificial Intelligence Application - Intermediate Level (July)

Jul 23, 2018 12:00 AM

-

12:00 am

Malaysia Room (2nd Floor, MaGIC)

RM1800 (before promotional price)

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All our ticket for Artificial Intelligence Application (July) is now sold out. You may find the next Artificial Intelligence Application in September.Session Summary This course will introduce the learner to applied machine learning and neural network with Python, focusing more on the techniques and methods than on the statistics behind these methods.The course will start with a discussion of how machine learning is different than descriptive statistics, and the introduction to the scikit learn toolkit.What Will You Learn? Acquire basic understanding of machine learning and neural networks Develop machine learning and neural network models Develop and build blocks of neural networks Implement machine learning and neural networks application to perform predictive analyticsCourse BreakdownLesson 1: Introduction to Machine LearningLesson 2: Supervised and unsupervised learningLesson 3: Cross Validation and Model Evaluation and SelectionLesson 4: Introduction to Ensemble ModelsLesson 5: Introduction to Neural Network and Artificial IntelligenceLesson 6: Machine Learning and Artificial Intelligence use casesPre-Requisites Basic knowledge of Python and basic linear algebra and probabilityRequired Software PythonRegister today to secure your seats!If you have any enquiry about the course, please email us at justask@mymagic.myPlease be informed that we will get back to you within 3 working days.PLEASE BE INFORMED THAT F&B IS NOT PROVIDED DURING THIS TRAINING

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