Machine Learning Foundation

Emerging Field for Three Consecutive Years

35 Hours of Expert-Led Training

Hands-on experience with Python & R Programming

Job Listings Increase by 16% Yearly

Convenient Payment Options

4.8/5

3710 Enrolled

Overview

What we will guide you through

Gain a proper understanding of machine learning concepts & techniques
Learn to differentiate between supervised and unsupervised learning algorithms
Master the implementation of popular machine learning algorithms using Python and R
Develop skills in model evaluation and selection to avoid overfitting and underfitting
Apply dimensionality reduction techniques and understand their practical applications

Learning Objectives

After completing the course, you will excel in the following

Gain comprehensive knowledge of Machine Learning concepts

Understand various Machine Learning and Statistical Modeling topics

Identify practical applications of Machine Learning

Familiarize yourself with supervised and unsupervised learning

Apply Machine Learning concepts to daily workplace tasks

Ready to get started?

Prerequisites

The prerequisites for enrolling in the Machine Learning Foundation Course are listed. Candidate must meet one of the following criteria

To implement the entire machine learning process, knowledge of computer languages like Python and R is required
Both Python and R come with built-in libraries that make using machine learning methods fairly simple

Overall ratings by our students

Upcoming sessions

Our Trainers

We, at Learners Point, take immense pride in our teaching methods and instructors. Our instructors are some of the best experts in their fields and employ a practical approach to learning. Many of them are globally recognised and have a diverse set of experience in their field of expertise. You are always sure to have the best in the industry as your teachers who are ready to guide you at every step and make the experience informative yet enjoyable. Apart from the focus on learning your chosen course, our instructors also encourage students to develop communication skills and interpersonal skills necessary to excel in the practical world.

Our cutting edge teaching methods make every program an immersive and productive experience for the learners. Our learning methods are research-driven and are continuously updated to stay relevant to present times as well as the future. You will enjoy practical applications of everything learned through theory and regular mock examinations to help monitor your progress. Our courses are led by an instructor in a classroom setup and we do offer online high-quality sessions as well for individuals. We also monitor the training sessions with a progress tracker to maintain high standards of instruction and ethics.

Learners Point Certificate

Earn a Course Completion Certificate, an official Learners Point credential that confirms that you have successfully completed a course with us.

KHDA Certificate

Earn a KHDA attested Course Certificate. The Knowledge and Human Development Authority (KHDA) is the educational quality assurance and regulatory authority of the Government of Dubai, United Arab Emirates.

Related courses

Curriculum

What is Machine Learning
Applications of Machine Learning
Machine Learning vs Artificial Intelligence
Machine Learning Languages and platforms
Machine Learning vs Statistical Modelling

Popular Machine Learning Algorithms
Clustering, Classification and Regression
Supervised vs Unsupervised Learning
Application of Supervised Learning Algorithms
Application of Unsupervised Learning Algorithms
Overview of modelling Machine Learning Algorithm: Train, Evaluation and Testing.
How to choose Machine Learning Algorithm

Simple Linear Regression: Theory, Implementing in Python (and R), Working on use case
Multiple Linear Regression: Theory, Implementing in Python (and R), Working on use case
K-Nearest Neighbors: Theory, Implementing in Python (and R), KNN advantages, Working on use case
Decision Trees: Theory, Implementing in Python (and R), Decision |Tree Pros and Cons, Working on use case
Random Forests: Theory, Implementing in Python (and R), Reliability of Random Forests, Working on use case

Naive Bayes Classifier: Theory, Implementing in Python (and R), Why Naive Bayes is simple yet powerful, Working on use case
Support Vector Machines: Theory, Support vector machines with Python and R, Improving the performance with Kernels, Working on use case
Association Rules: Theory, Implementing in Python (and R), Working on use case
Model Evaluation: Overfitting & Underfitting
Understanding Different Evaluation Models

K-Means Clustering: Theory, Euclidean Distance method.
K-Means hands-on with Python (and R)
K-Means Advantages & Disadvantages
Hierarchical Clustering: Theory
Hierarchical Clustering with Python (and R)
Hierarchical Advantages & Disadvantages

Dimensionality Reduction: Feature Extraction & Selection
Principal Component Analysis (PCA): Theory, Eigen Vectors
PCA example with Python (and R) with use case
Advantages of Dimensionality Reduction
Application of Dimensionality Reduction with a case study
Collaborative Filtering & Its Challenges

Frequently asked questions

The global job growth for AI and Machine Learning jobs has increased by almost 75% over the past four years and is poised to keep growing. Pursuing a career in Machine Learning is a solid choice for high-paying jobs that will be in demand for decades.

This Machine Learning Foundation course offers a comprehensive introduction to the fundamentals of Machine Learning for Information Technology professionals. This training enables you to understand Machine Learning concepts which are essential for staying relevant in the industry. This course approves of your sound domain knowledge and hence invites numerous opportunities.

Machine Learning is expected to transform virtually every industry and customer experience we know today. This Machine Learning Foundation course in Dubai introduces you to the essential elements of Machine Learning. This Machine Learning course in Dubai provides you with excellent data management skills necessary to have a promising career in this field.

This Machine Learning Foundation course in Dubai is ideal for:

Anyone looking to build a career in Data Science and Machine Learning
Individuals aspiring to be Data Scientist, Big Data Analysts, Analytics Manager/Professionals, Business Analyst, Developer
Professionals employed in organizations that are planning to shift to Big data tools

The Machine Learning Foundation course in Dubai does not presume or require any prerequisites. However, to understand the concepts presented and complete the exercises, we recommend that students have familiarity with statistics and possess basic programming knowledge.

The training sessions at Learners Point are interactive, immersive, and intensive hands-on programs. We offer 3 modes of delivery and participants can choose from instructor-led classroom-based group coaching, one-to-one training session, or high-quality live and interactive online sessions as per convenience.

At Learners Point, if a participant doesn’t wish to proceed with the training after the registration due to any reason, he or she is entitled to a 100% refund. However, the refund will be issued only if we are notified in writing within 2 days from the date of registration. The refund will be processed within 4 weeks from the day of exit.