Introduction and Overview
Machine Learning is moving past the “hype cycle”, with enterprises looking to automate analytics processes in areas like business intelligence and cyber security. In 2020, nearly 8 billion jobs will be created for the Machine Learning experts, generating USD $3 billion in the field of Machine Learning
Machine Learning are composed of multiple technologies and techniques, such as deep learning, neural networks, natural-language processing, which will trigger autonomous systems that can be programmed to operate independently of humans, allowing IT to go deeper and do more.
Certified Machine Learning Specialist – CMLS Course will provide participants with an in-depth knowledge on Machine Learning algorithms, techniques and its application. Participants will also be able to experience first-hand leading open-source technologies such as GO, WEKA and SciPy which are implemented by industry leaders such as Google, Oracle, Microsoft etc.
Real-cases and industry scenarios on implementation techniques for Machine Learning will also provide Participants with the necessary skills to apply machine learning method.
- Learn the fundamentals of AI and machine learning and how it could impact your work through several real-life use case
- Understand Machine Learningtechniques/method: Supervised, Unsupervised & Reinforcement Learning through hands-on examples
- Learn key ML concepts like Principle Component Analysis (PCA), Hyperparameter tuning, Clustering, Classification, Regression, Neural Network etc.
- Get skilled in popular machine learning algorithms using Python Programming ( SckitLearn, TensorFlow ) , Weka, RapidMiner
- Introduction and basic concepts in Machine learning
- Introduction to Theories used in Machine Learning
- Supervised learning vs. Unsupervised learning
- Model selection in Machine learning
- Role of Weka in Machine Learning
- Decision Tree and Rule mining using Weka
- A Brief review on SciPy
- Random Forest and Markov Decision Process algorithm
- Google’s Go Programming with k-nearest neighbor’s algorithm
- C 5.0 based decision tree algorithm
How to Register?
To enquire about this Certified Machine Learning Specialist training course, email to training@rapidstart.com.sg
You can Register Online by completing the Online Registration Form.
CITREP + Funding is available to Singapore Citizens only (For both company or individual sponsored candidates).
Have a Group?
Contact us if you have a group of 5 or more who are interested in this course for Group Discount.
In-House Training at Your Office?
Dedicated/Customized In-House Corporate Training is available for a group of 8 or more participants. We have conducted this training in Singapore, HongKong and India. Email training@rapidstart.com.sg for more details.