RSB TRAINING PROGRAM
PYTHON 3: Machine
Learning is Easy
This course gives an introduction to the Python programming including many of the available tools that are commonly used for machine learning for the beginner. This course also introduces several fundamental concepts and methods for machine learning. This course consists of specific key topics and exercises for participants to solve in order to assist them to understand basic concepts of machine learning using python.
2 DAYS TRAINING
The world generates data at an increasing pace. In finance, business, administration and the natural or social sciences, working with data can make up a significant part of the job.
Python is an object-oriented, high-level and easy-to-learn programming language that has useful features for a beginner programmer. It is one of the top 10 programming languages and more relevant in meeting real-world needs including data analytics.
Python Data Types and Operators
Python Control Structure for decision making using if-then-else
Python Function to reuse codes
Machine Learning foundation and image classification
Supervised vs Unsupervised vs Reinforcement Learning
After successfully completing this course, participants should be able...
To understand how to use Python for machine learning.
To understand basic machine learning concepts, types and examples.
To understand some basic learning algorithms and techniques and their applications.
Who this course is for:
Level: Beginner & Intermediate
Group Age: 17 and Above
Additional Note: Please bring your own laptop for hands-on training with Linux OS/Windows.
REGISTRATION FEES for 2 DAYS
Registration fee includes refreshments, full training documentation, and certificate. The fee does not include accommodation and travel. Payment terms: Fee must be paid before the event. We accept Cash (Online Payment), LO & PO.
METHODS OF PAYMENT
By direct deposit to the account of: -
A/C Name: Robopreneur Sdn Bhd
A/C No: 569981105331
Phone : 03-27262475 or +60 14-5362380
Registration Email : email@example.com
Technical Email : firstname.lastname@example.org
Individual Fee (After 28th February 2020)
Early Bird Individual (Until 28th February 2020)
Group Fee (3pax per group)