How You Can Become a Certified Machine Learning Practitioner
Machine Learning: Statistics You Need to Know
Market size is expected to grow from USD 1.03 Billion in 2016 to USD 8.81 Billion by 2022. Demand for Machine Learning (ML) engineers will soar 60% by 2020.
– Source: MarketandMarkets
About Machine Learning
A rapidly-growing field within Artificial Intelligence (AI), ML allows machines to learn from huge volumes of complex data and self-improve. It powers technologies like recommendation engines, facial recognition, fraud protection, self-driving cars, and more. Not many of us realise that ML applications are getting way more pervasive than ever before and are being used daily across a wide number of products. In fact, MIT Sloan Management reports that 76% of companies are already using ML to increase their sales growth! To gear yourself up with an understanding on how you can leverage on the power of ML to improve business ROIs and operational efficiency, start by learning the fundamentals at our Machine Learning for Business Intelligence (MLBI) course. Read on to find out more about the highly relevant iTrain Certification training below.
IN THE ALGORITHM ECONOMY, AI IS REVOLUTIONIZING THE WORLD OF COMPUTING AND DIGITAL INTERACTIONS.
Machine Learning For Business Intelligence (MLBI) Course
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. This course will help to build skills in data acquisition and modeling, classification, and regression. In addition, one will get to explore very important tasks such as model validation, optimization, scalability, and real-time streaming.
The course is open to anyone working with Business Intelligence and Data Analysis. Anyone who is keen to have an in-depth knowledge about Machine Learning and the real applications of MLBI today is also encouraged to come.
Upon completion of the Machine Learning for Business Intelligence course, graduates will be able to:
- Explain ML concepts and describe applications of well-known machine learning algorithms.
- Apply machine learning techniques to a list of practical problems.
- Able to identify long-term impact of machine learning to business.
Here are some of the key topics that will be covered in iTrain’s Machine Learning for Business Intelligence course:
- Real-World Data
- Modeling and Prediction
- Model Evaluation and Optimization
- Basic Feature Engineering
- Practical Applications
- Example: NYC Taxi Data
- Advanced Feature Engineering
- Advanced Natural Language Processing (NLP) Example
- Scaling Machine-Learning Workflows
- Example: Digital Display Advertising
Companies Who Learned From Us, Among Others
- Telekom Malaysia Berhad
- MEASAT Satellite Systems Sdn. Bhd.
- Sime Darby Berhad
- REDtone International Bhd.
- Wonderlist Property
- UCSI University
- HELP University College
- Universiti Tunku Abdul Rahman
- Jobstreet Corporation Berhad
iTrain-ed Students Speak Up! (Reviews)
“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
Interested in advancing your career with the above MLBI certification, or prepping your team with relevant competences? iTrain offers in-demand digital technology certifications and has trained thousands of IT teams. Contact our iTrain course consultants at +603-2733 0337 or email email@example.com to find out more about our training courses that will help your good self or organisation stay ahead of the curve.
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