tag:peatix.com,2011:1 2021-11-15T09:32:16+08:00 Peatix iTrain tag:peatix.com,2018:event-340039 2018-02-09T09:30:00MYT 2018-02-09T09:30:00MYT

Updates:9 FEB 2018 @ MaGIC, CyberjayaVENUE:Maker Lab @ G Floor Malaysian Global Innovation and Creativity Centre (MaGIC)Block 3730 Persiaran APEC, 63000 Cyberjaya//By popular demand! Missed the first one? Fret not! Join us on the 9th of Feb!"Mainstream access to deep learning technology will greatly impact most industries over the next three to five years."So what exactly is deep learning? How does it work? And most importantly, why should you even care? Deep learning is used in the research community and in industry to help solve many big data problems such as computer vision, speech recognition, and natural language processing. Practical examples include:Vehicle, pedestrian and landmark identification for driver assistanceImage recognitionSpeech recognition and translationNatural language processingLife sciencesWhat You Will LearnUnderstand the intuition behind Artificial Neural NetworksApply Artificial Neural Networks in practiceUnderstand the intuition behind Convolutional Neural NetworksApply Convolutional Neural Networks in practiceUnderstand the intuition behind Recurrent Neural NetworksApply Recurrent Neural Networks in practiceUnderstand the intuition behind Self-Organizing MapsApply Self-Organizing Maps in practiceUnderstand the intuition behind Boltzmann MachinesApply Boltzmann Machines in practiceUnderstand the intuition behind AutoEncodersApply AutoEncoders in practiceAgenda9:00am - 9:30am: Arrivals and registration9:30am - 11:30am: Deep Learning by Tarun Sukhani11:30am-12:00pm: QnA12:00pm - END: EnquiriesYou may bring your laptop along to follow on some exercises, but not required. Pre-requisiteNo background in deep learning is required for this trainingBasic python understanding can be useful for some exercisesThe mathematical and theoretical aspects of deep learning will NOT be covered by this training - and they're not a requirement to complete the labs, reading the Wikipedia page of Deep Learning would be a good start if you're interested.Who Should AttendAnyone interested in Deep LearningStudents who have at least high school knowledge in math and who want to start learning Deep LearningAny intermediate level people who know the basics of Machine Learning or Deep Learning, including the classical algorithms like linear regression or logistic regression and more advanced topics like Artificial Neural Networks, but who want to learn more about it and explore all the different fields of Deep LearningAnyone who is not that comfortable with coding but who is interested in Deep Learning and wants to apply it easily on datasetsAny students in college who want to start a career in Data ScienceAny data analysts who want to level up in Deep LearningAny people who are not satisfied with their job and who want to become a Data ScientistAny people who want to create added value to their business by using powerful Deep Learning toolsAny business owners who want to understand how to leverage the Exponential technology of Deep Learning in their businessAny Entrepreneur who wants to create disruption in an industry using the most cutting edge Deep Learning algorithmsInstructors Biodata:Tarun Sukhani has 16 years of both academic and industry experience as a data scientist over the course of his career. Starting off as an EAI consultant in the USA, Tarun was involved in a number of integration/ETL projects for a variety of Fortune 500 and Global 1000 clients, such as BP Amoco, Praxair, and GE Medical Systems.While completing his Master's degree in Data Warehousing, Data Mining, and Business Intelligence at Loyola University Chicago GSB in 2005, Tarun also worked as a BI consultant for a number of Fortune 500 clients at Revere Consulting, a Chicago-based boutique IT firm focusing on Data Warehousing/Mining projects. Tarun continues to work within the BI space, most recently focusing his time on Deep/Reinforcement Learning projects within the Fintech sector.Tarun Sukhani has worked on parametric statistical modeling as well within the Data Science and Big Data Science space, using tools such as SciPy in Python and R and R/Hadoop for Big Data projects.

tag:peatix.com,2018-02-07 09:16:51 2018-02-07 09:16:51 The event description was updated. Diff#314491 tag:peatix.com,2018-01-17 10:05:52 2018-01-17 10:05:52 The event description was updated. Diff#308806 tag:peatix.com,2018-01-17 10:05:29 2018-01-17 10:05:29 The event description was updated. Diff#308804 tag:peatix.com,2018-01-17 10:05:14 2018-01-17 10:05:14 The event description was updated. Diff#308803 tag:peatix.com,2018-01-17 10:05:04 2018-01-17 10:05:04 The event description was updated. Diff#308802 tag:peatix.com,2018-01-10 06:46:19 2018-01-10 06:46:19 Venue Address was changed to "Block 3730 Persiaran APEC 63000 Cyberjaya Malaysia". Orig#306625 tag:peatix.com,2018-01-10 06:40:31 2018-01-10 06:40:31 Venue was changed to "MaGIC Cyberjaya (Malaysian Global and Innovation Centre ". Orig#306622 tag:peatix.com,2018-01-10 06:37:27 2018-01-10 06:37:27 Venue was changed to "MaGIC Cyberjaya". Orig#306621