Practical Machine Learning (Scikit-Learn) for O&G 

  LEVEL : INTERMEDIATE                    HRDF : CLAIMABLE 

    TRAINERS : ASSOC. PROF. DR. MOHD ZUKI YUSOFF

 

WHEN  


6 - 8 OCTOBER 2021

 

WHERE 


MS TEAMS

(Online)

 

TIME


9.00AM - 1.00PM

 

RM 1,160 FOR PROFESSIONALS

10% Discount for Early Bird (until 6 September 2021) / Group / Students

CONTENT SUMMARY

INTRODUCTION

Machine learning is a rapidly growing field. It has conquered the industry where it is now at the heart of today's high-tech products including web search result refinements and smartphone speech recognition. This course assumes that the participant does not have any background in Machine Learning. The goal is to give participants the concepts and the tools needed to actually implement programs capable of learning from data. Some simple techniques involving linear regression and classification will be parts of the hands-on activities of the course. Rather than implementing own versions of algorithms, the participants will be using actual production ready Python frameworks – Scikit-Learn. Scikit-Learn is one of the most popular machine learning libraries for python. It is easier to use, and it implements many Machine Learning algorithms efficiently. As such, it makes for a great entry point to learn Machine Learning.

COURSE CONTENT

1. INTRODUCTION
  • Why Machine Learning 
  • Purpose of Machine Learning 
  • Machine Learning terminology 
  • Machine Learning Approach

2. REGRESSION

  • Categories of Machine Learning 
  • Working with Scikit_Learn – Examples 
  • Correlation Analysis and Feature Selection 
  • Simple Linear Regression Modelling with a dataset

3. CLASSIFICATION

  • Classification based Machine Learning Algorithms – Concepts, Examples, Hands-On Activities


OBJECTIVES

Upon completion of this course, participants will be able to:

  • Explain how machines can learn and make decisions from dat.
  • Develop programs for regression and classification problems using Python frameworks namely Scikit-Lear.


WHO SHOULD ATTEND?

  • Engineers
  • Scientists
  • Researchers
  • Anyone Interested in Machine Learning






OUR TRAINERS




 Assoc. Prof. Dr. Mohd Zuki Yusoff  (UTP)

Dr. Mohd Zuki Yusoff specializes in embedded systems (microprocessor and microcontroller) teaching/training. In his student years, Dr. Mohd Zuki pursued an undergraduate study in the United States of America. He attended Dutchess Community College (DCC), Poughkeepsie, New York from Winter Semester 1985 to Winter Semester 1986, and undertook courses under an Engineering Science Program. After enrolling for three semesters at DCC, he transferred to Syracuse University (SU), Syracuse, New York, in Fall Semester 1986 majoring in Electrical Engineering. He graduated from SU with a Bachelor of Science in Electrical Engineering in December 1988. The candidate completed his Master of Science in Communications, Networks Software from Surrey University (UniS), Guildford, England, from September 2000 to September 2001. Dr. Mohd Zuki obtained his Doctor of Philosophy (Ph.D.) Degree in Electrical & Electronic Engineering from Universiti Teknologi Petronas (UTP), Tronoh, Perak, Malaysia, in February 2010. His area of PhD study was on brain signal processing. 

Dr. Mohd Zuki is currently an associate professor at UTP and is the Head of Centre for Intelligent Signal and Imaging Research (CISIR) and a member of the Institute of Health & Analytics (IHA). He is currently undertaking research in brain signal processing (event related potentials; brain computer interface). He holds one patent related to the extraction of event related potentials from background EEG. He is a member of the following learned societies and professional body: IEEE, Tau Beta Pi—the National Engineering Honorary Society, Eta Kappa Nu—the Electrical and Computer Engineering Honorary Society, and Board of Engineers Malaysia (as graduate engineer). 

Dr. Mohd Zuki has accumulated over 29 years of experience working with various industries and academic/training institutions; these include Universiti Teknologi Petronas (UTP), Celcom Academy, Politeknik Sultan Abdul Halim Mu’adzam Shah (POLIMAS), Malaysian Institute of Microelectronic Systems (MIMOS), and Singatronics (M) Sdn Bhd. He is a certified Curriculum Designer & Developer, awarded by Sepang Institute of Technology (SIT) and Douglas Mawson Institute of TAFE in March 1999. 

For the last eighteen years, he has been involved in teaching digital logic design, assembly language (Zilog Z80, Intel 8080/8085/8086/8088/8051, Motorola 6800/6809/68000, Microchip’s 16F/18F microcontrollers, ARM machines) and C programming, advanced embedded systems, microprocessor, microcontroller, analog communications, and digital communication courses while at Universiti Teknologi Petronas. In the recent initiatives, he has been engaged in transforming the curricula of the mentioned courses into outcome-based education (OBE) compliant subjects. 

While at Celcom Academy (CA), he had also trained technicians and engineers in telecommunications related areas such as Telecommunications Principles, Introduction to ETACS, Common Channel Signalling No. 7 (CCS7), Siemens’ EWSD Switching System; Integrated Services Digital Network (ISDN), Siemens’ EWSD exchange planning, and Siemens’ EWSD Operation, Administration and Maintenance (OAM). At CA, he was involved in developing Learner and Facilitator Guide modelled on Competency Based Training & Education (CBTE), to support classroom training. He also worked with Deutsche Telekom staff to produce training materials for CA’s Technician Training Program (TTP). He was in-charged of evaluating training effectiveness and was involved in continuous improvements of training modules offered by CA. Furthermore, Dr. Mohd Zuki assisted in coaching line trainers (comprising mainly engineers) on course developments based on the CBTE approach.

In the past (while at POLIMAS), he conducted training in Audio Communications for Thomson Audio Kulim, Kedah, and in Audio Electronics for Sharp Roxy Corporation, Sungai Petani, Kedah. These two courses led the participants comprising mostly assembly line operators to qualify for certification (issued by POLIMAS) in their respective courses; they were eventually promoted to technicians in their workplaces

COUNTDOWN

REGISTRATION FEES

      ProfessionalS       

myr1,160

*fee quoted does not include SST, GST/VAT or withholding tax (if applicable)

Early bird/ group/ student

myr1,044

*fee quoted does not include SST, GST/VAT or withholding tax (if applicable)

OUR LOCATION

Centre for Advanced & Professional Education (CAPE)

 Level 16, Menara 2, Menara Kembar Bank Rakyat, 50470, Jalan Travers, Kuala Lumpur.

CALL US

+605 - 368 7558

DROP US AN EMAIL

cape@utp.edu.my