Machine Learning
Machine Learning
The Machine Learning Course is a comprehensive and practical introduction to the field of machine learning. Designed for both beginners and those with some prior experience, this course covers the key concepts, algorithms, and techniques used in machine learning.
The Machine Learning Course is a comprehensive and practical introduction to the field of machine learning. Designed for both beginners and those with some prior experience, this course covers the key concepts, algorithms, and techniques used in machine learning.
Talk to an Advisor
Talk to an Advisor
36 hours
Schedule : Mon - Wed - Thu
6 PM - 9 PM
Duration
36 hours
Schedule : Mon - Wed - Thu
6 PM - 9 PM
Duration
Modular thinking,
Programming basics,
Algorithimic thinking,
Problem solving
Debugging
Skills Gained
Modular thinking,
Programming basics,
Algorithimic thinking,
Problem solving
Debugging
Skills Gained
Instructor led or
Self paced
Mentor guided
Online & Hybrid
learning
Learning Methodology
Instructor led or
Self paced
Mentor guided
Online & Hybrid
learning
Learning Methodology
Program Overview
Program Overview
The Machine Learning Course is a comprehensive and practical introduction to the field of machine learning. Designed for both beginners and those with some prior experience, this course covers the key concepts, algorithms, and techniques used in machine learning. Through a combination of theoretical learning, hands-on coding exercises, and real-world projects, participants will gain a deep understanding of machine learning and its applications.
The Machine Learning Course is a comprehensive and practical introduction to the field of machine learning. Designed for both beginners and those with some prior experience, this course covers the key concepts, algorithms, and techniques used in machine learning. Through a combination of theoretical learning, hands-on coding exercises, and real-world projects, participants will gain a deep understanding of machine learning and its applications.
Key Benefits
Key Benefits
Get trained by industry Experts
Our courses are delivered by professionals with years of experience having learned first-hand the best, in-demand techniques, concepts, and latest tools.
Get trained by industry Experts
Our courses are delivered by professionals with years of experience having learned first-hand the best, in-demand techniques, concepts, and latest tools.
Official Certification curriculum
Our curriculum is kept up to date with the latest official Certification syllabus and making you getting ready to take the exam.
Official Certification curriculum
Our curriculum is kept up to date with the latest official Certification syllabus and making you getting ready to take the exam.
Tax Credit
Claim up to 25% of tuition fees and education tax credit from your taxes.
Tax Credit
Claim up to 25% of tuition fees and education tax credit from your taxes.
Discount on Certification Voucher
Upto 50 percent discount voucher will be provided.
Discount on Certification Voucher
Upto 50 percent discount voucher will be provided.
24/7 Lab access
Our students have access to their labs and course materials at any hour of the day to maximize their learning potential and guarantee success.
24/7 Lab access
Our students have access to their labs and course materials at any hour of the day to maximize their learning potential and guarantee success.
Course Outline
Course Outline
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Introduction to Machine Learning
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Data Preprocessing and Exploration
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Supervised Learning Algorithms
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Unsupervised Learning Algorithms
Unsupervised Learning Algorithms
Model Evaluation and Validation
Model Evaluation and Validation
Neural Networks and Deep Learning
Neural Networks and Deep Learning
Computer Vision
Computer Vision
Model Deployment and Ethics
Model Deployment and Ethics
Advanced Topics and Future Trends
Advanced Topics and Future Trends
Introduction to Machine Learning
Data Preprocessing and Exploration
Supervised Learning Algorithms
Unsupervised Learning Algorithms
Model Evaluation and Validation
Neural Networks and Deep Learning
Computer Vision
Model Deployment and Ethics
Advanced Topics and Future Trends
Skills gained
Skills gained
Key concepts and principles of machine learning.
Proficiency in programming languages.
Ability to preprocess, clean and transform data for machine.
Knowledge of deep learning and neural networks.
Proficiency in tuning hyperparameters.
Key concepts and principles of machine learning.
Proficiency in programming languages.
Ability to preprocess, clean and transform data for machine.
Knowledge of deep learning and neural networks.
Proficiency in tuning hyperparameters.
Instructor Spotlight
Instructor Spotlight
Connect with our instructors at an event . Build your intelligent network .
Connect with our instructors at an event . Build your intelligent network .
Michel Chamoun
Data Science & Business Analyst
Michel is a highly skilled developer and consultant with expertise in AI, data analysis, and process optimization. As a developer in the GenAI team, he built proof-of-concepts leveraging chatGPT's natural language understanding capabilities and implemented AI modules on Microsoft Azure. As a consultant in the strategy and operations team, he designed algorithms for user access profiling.
Mojtaba Ghasemi
Senior Data Scientist
A results-driven Data Scientist with a Ph.D. in Biomedical Engineering, specializing in advanced analytics, predictive modeling, and machine learning. With 5 years of experience and currently working as a Senior Data Scientist, I excel at translating complex analytical insights for non-technical audiences and leading cross-functional teams to deliver impactful business solutions
Sami Islam
Senior Cloud Technical Architect
Sami Islam has 10+ years of experience in the IT and Consulting Industry, specializing in comprehensive Cloud solutions. With expertise in Agile Methodology, he has led numerous Cloud Transformation projects, including migration, CI/CD Pipeline automation, and Data Warehousing solutions. Sami holds multiple certifications, including Google Cloud Professional Cloud Architect, AWS Solutions Architect Associate, and Azure Certifications.
Michel Chamoun
Data Science & Business Analyst
Michel is a highly skilled developer and consultant with expertise in AI, data analysis, and process optimization. As a developer in the GenAI team, he built proof-of-concepts leveraging chatGPT's natural language understanding capabilities and implemented AI modules on Microsoft Azure. As a consultant in the strategy and operations team, he designed algorithms for user access profiling.
Mojtaba Ghasemi
Senior Data Scientist
A results-driven Data Scientist with a Ph.D. in Biomedical Engineering, specializing in advanced analytics, predictive modeling, and machine learning. With 5 years of experience and currently working as a Senior Data Scientist, I excel at translating complex analytical insights for non-technical audiences and leading cross-functional teams to deliver impactful business solutions
Sami Islam
Senior Cloud Technical Architect
Sami Islam has 10+ years of experience in the IT and Consulting Industry, specializing in comprehensive Cloud solutions. With expertise in Agile Methodology, he has led numerous Cloud Transformation projects, including migration, CI/CD Pipeline automation, and Data Warehousing solutions. Sami holds multiple certifications, including Google Cloud Professional Cloud Architect, AWS Solutions Architect Associate, and Azure Certifications.
Eligibility Criteria
Eligibility Criteria
Learners need to possess an undergraduate degree or a high school diploma.
Possess an undergraduate degree or a high school diploma.
Prerequisites
Knowledge on Statistics and Python programming are required to enroll in the course.
Upcoming sessions & Schedule
Upcoming sessions
& Schedule
Take action
Take action
Get Certified
Get Certified
Related programs
Related programs
FAQs
FAQs
About the Instructor?
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About the Instructor?
Montreal College of Information Technology
Collège des technologies de l’information de Montréal
200-1255 Robert-Bourassa Blvd.
Montreal, Quebec H3B 3B2
+1 514 312 2383
Montreal College of Information Technology
Collège des technologies de l’information de Montréal
200-1255 Robert-Bourassa Blvd.
Montreal, Quebec H3B 3B2
+1 514 405 6874
Montreal College of Information Technology
Collège des technologies de l’information de Montréal
200-1255 Robert-Bourassa Blvd.
Montreal, Quebec H3B 3B2
+1 514 405 6874