A rapidly-growing field within Artificial Intelligence (AI), Machine Learning allows machines or computers to learn from huge volumes of complex data and self-improve. It powers technologies like recommendation engines, speech recognition (voice-driven interactions with machines), facial recognition, fraud protection, self-driving cars (autonomous vehicles), and an increasing number of exciting developments that are just now becoming realised.
With more and more large and medium-sized enterprises adopting or intensifying their usage of machine learning, the demand for ML skills has risen dramatically and will continue to remain an in-demand skill for the foreseeable future. The Machine Learning engineer role was cited as the third most in-demand AI job of the moment with ML ranked as the most in-demand AI skill. Deloitte Global predicts that the number of implementations and pilot projects using the technology will double by 2020, just as it doubled in year 2018 compared to the previous year.
In this course, we introduce the field of ML and describe the well-known processes, algorithms, and tools for one to be a successful ML practitioner. Students will be able to build skills in data acquisition and modeling, classification, and regression. In addition, students will also get to explore highly essential tasks such as model validation, optimisation, scalability, and real-time streaming.
(1) Introducing the basic concepts and practical applications of Machine Learning algorithms; (2) Providing students with the capability to identify the long-term impact of ML to businesses; and (3) Helping students apply ML algorithms to their own real-world problems.
Who Should Attend & Prerequisites:
This course is suitable for engineers, developers, business analysts, data scientists, and basically anyone who is keen to learn more in-depth about Machine Learning and the real applications of ML for business intelligence in this day and age. Prerequisites: Anyone working with Business Intelligence and Data Analysis.
WHAT YOU’LL LEARN: DAILY SCHEDULE
Day 1 - Part I: The Machine Learning Workflow
Day 2 - Part II: Practical Applications
“The training is effective, making one comprehend the model and scripts used to implement machine learning using Python Programming language.”
Kee Kok Yew, Director, HELP University Sdn Bhd
“Highly recommended, very useful training for companies diversifying into big data analysis.”
Premala Krishanan, Data Analyst, Sime Darby Holding Bhd
YOUR QUESTIONS, ANSWERED.
Students will be given a Certificate of Attendance after successfully completing the course.
You bet it is! Our Certification Body for this course is iTrain Asia Pte Ltd, the region’s top Certifications Tech Provider headquartered in Singapore, with branch offices in Malaysia and Indonesia.
Upon completion of this course, you will be able to:
● Explain machine learning concepts and describe applications of well-known machine learning algorithms
● Apply machine learning techniques to a list of practical problems
This is a 2-day course at an instructor-led training centre.
Computers are provided for iTrain students. However participants can also use their own computers as long as it’s installed with the necessary applications.