Machine Learning Made Easy in A Practical Approach for I.R. 4.0 | Peatixtag:peatix.com,2011:12021-01-29T17:09:11+08:00PeatixOEMS Intipakar CorporationMachine Learning Made Easy in A Practical Approach for I.R. 4.0tag:peatix.com,2021:event-17717222021-01-25T14:00:00MYT2021-01-25T14:00:00MYTDuring the advent of Industry 4.0, A.I. machine learning is getting more important to keep businesses competitive. Back by popular demand, this 4-day (2PM - 5PM) online crash course, specially offered to academic users, will show you how to break a paradigm using Wolfram technologies.Ideal for those who are interested in learning, project exploration, or teaching Artificial Intelligence in predictive analytic using Machine Learning in a very practical way.Date : 25 - 28 Jan 2021 (Mon - Thu)Time : 2 pm - 5 pmNormal Fee (Academician only)
USD200/pax
MYR400/pax for Malaysian
Early Bird Promo before 16 Jan 2021 (Academician only)
USD120/pax
MYR220/pax for Malaysian
PROGRAM DETAILS:DAY 1, 2PM-5PMSUPERVISED MACHINE LEARNING
Mastering basic syntaxes in Wolfram Language I
Supervised learning with Classification and Predictions
Basic data handling and connectivity I
Practical deployment – Identifying marketing targets
DAY 2, 2PM-5PMSUPERVISED MACHINE LEARNING & CORRELATION
Mastering basic syntaxes in Wolfram Language II
Important statistical analysis and visualizations I
Handling Correlations
Constructing basic workflow
Accuracy Analysis I
Practical deployment – Bidding, & value estimation – Preventive maintenance, failure prediction
Bring-home online certification
DAY 3, 2PM-5PMSUPERVISED MACHINE LEARNING & SYMBOLIC COMPUTATIONS
Mastering basic syntaxes in Wolfram Language III
Important statistical analysis and visualizations II
Basic data handling and connectivity II
Practicing with basic data cleaning & imputations
Finding anomalous data
Clustering and profiling
Accuracy Analysis II
Practical deployments – Rating prediction & A.I. diagnostics – Image classification
DAY 4, 2PM-5PMCLUSTERING, ADVANCED HANDLING AND DEPLOYMENT
Clustering and profiling II
Basic computer visions
Basic data handling and connectivity III
Some common ways of deployment and integrations
Practical deployments – Medical Image classification – Image segmentation
What you will get in this course:1) Four (4) modules in MACHINE LEARNING delivered with live trainer for 4 days.2) Wolfram Mathematica v12.2 training license3) Certificate of Completion4) Certificate of Proficiency upon passing online quiz (optional)Course outline http://bit.ly/OEMS2501
What some said about our workshops
"It was informative and worthwhile even for a total beginner like me. The tutorials were engaging and the templates at the end are definitely useful. Can't wait to try them out in my researches" Afiqah, USM Researcher "It has allowed me to apply the knowledge onto data handling in my research work, which is rather huge and repetitive, thus saving me days or weeks of work." Simpson Tan, UM Researcher "It makes me understand the basic concepts of machine learning in just a few days." Rex Leong, MacroBase System "It has given me an insight that running a project with machine learning shouldn't be a tough task...it melted down my fears in A.I." Julius, USM Researcher “This course is very useful for us to cope with changes that are happening all over the world. It's very interesting, and not so difficult. “ Dr. Amir Syahir, UPM Researcher“It is useful for beginners as well as for intermediate users. Tools are easy to use and helpful in analysis for the IR4.0. “ Dr. Mohd Khairul Faidzi, UKM “I would recommend this workshop to others because machine learning is very important nowadays & Wolfram provides it.” Dr. Ahmad Afif, UMP Researcher“I would recommend this workshop to others because it is very useful and interesting!” Dr. Izamarlina Asshaari, UKM“Very comprehensive!” Dr. Siti Salasiah, UKM “Yes i would recomend to my friends because how it is so easy to understand the software!”, Dr. Luqman Al-Hakeem Bin Abdul Ilah, UKM“It is useful and be a fundamental to learn more about data analysis and many thing in data science and IR4.0”, Nor Sofiah Ahmad, UM “Trainer is well ready, explanation is clear and full of examples”. Mun SK, Director Of Software Development, TeamCloud“Yes, I would recommend this workshop to others! because it is well organized and easy to follow. They also provide learning materials and videos for take home/offline learning.” Noorhelyna Razali, UKM “Yes, I would recommend this workshop to others! because I have learn so many things in this course.” Dr Nuryazmin Ahmat Zainuri, UKM