Requirements
- Basic Programming Knowledge in Python
Featured Review
Best machine learning course for beginners. Highly recommended.
Course Description
Learn the detailed Machine Learning with hands-on Python code. This course will teach you the theoretical and functional parts of Machine Learning algorithms. This Machine Learning Course is an intensive and comprehensive course designed to provide a deep dive into the fundamental concepts and applications of Machine Learning.
Start your journey as AI Engineer and Data Scientist, a most demanding field in computer science and artificial intelligence.
Machine Learning is crucial for professionals in data science, software development, and business analytics. This Machine Learning Course is designed for individuals seeking to improve their analytical skills and stay ahead in job market.
By the end of the course, delegates will be able to build prediction models and analyze data using Machine Learning algorithms.
What You’ll Learn From This Course
- Gain an in-depth understanding of the various algorithms of Machine Learning
- Understand different types of Machine Learning and how they work in Python
- Build data models and use them in algorithms
- Perform statistical analysis on data using Python
- Create and deploy prediction models
- Learn all Python libraries for ML
Who should join?
- Data Scientists
- Data Analysts
- Software Engineers
- Business Analysts
- Operations Managers
- HR Professionals
- Project Managers
- Customer Service Managers
Curriculum
- 11 Sections
- 35 Lessons
- 2 Days
Expand all sectionsCollapse all sections
- Module 1: Machine Learning - Introduction4
- Module 2: Importance of Machine Learning2
- Module 3: Mathematics for Machine Learning2
- Module 4: Data Pre-Processing and Cleaning3
- Module 5: Supervised Machine Learning1
- Module 6: Classification Algorithms5
- Module 7: Regression Analysis6
- Module 8: Unsupervised Learning2
- Module 9: Clustering5
- Module 10: Reinforcement Learning2
- Module 11: Deep Learning3
Machine learning is a sub-field of AI that involves building models to make predictions based on data without being explicitly programmed.
The three types of machine learning are supervised learning, where models are trained on labelled data; unsupervised learning, which finds patterns in unlabeled data; and reinforcement learning, which learns from interaction with the environment and learns based on reward/penalty system.
Machine learning works by using algorithms to identify patterns in data. The model is trained on input training data, then models is tested for accuracy on test data and then makes predictions based on new data.
AI (Artificial Intelligence) is a broad term that refers to enable systems to acquire human intelligence, while ML (Machine Learning) is a subset of AI allowing systems to learn from data and improve over time.
The main objective of machine learning is to develop models to enable systems to learn from data, identify patterns, and make decisions without being explicitly programmed for each task.
An example of machine learning is recommending movies on Netflix, where algorithms are trained on a large dataset of users and their movie selections to automatically suggest movies for new viewers, based on patterns identified in the data.
Some drawbacks of ML include the need for high processing computers, large amounts of high-quality data, the risk of overfitting or underfitting models and potential biases in data leading to unfair outcomes.
Delegates must have a basic understanding of Python and Statistics.
Training includes hands-on live python coding sessions for algorithms and model development, concepts understanding with examples, study material (PDF) and training certificate from our UK partner institute.
This course takes 2-days to complete.
In this Machine Learning training, you will learn supervised, unsupervised and reinforcement learning, algorithm selection, data pre-processing and cleaning, model evaluation, and how to create machine learning models for real-world.
By the end of this Machine Learning course, you will learn data analysis, algorithm selection, model training and evaluation, feature engineering, creating and deploying machine learning models.
Basic understanding of Python programming, statistics, and mathematics will be beneficial.
After completing this training, you can start your journey towards Data Scientist, Machine Learning Engineer, AI Specialist, Data Analyst, or Research Scientist.
You can directly WhatsApp +44 7441 426446
Yes, the training includes hands-on activities, where you will work with real datasets, apply machine learning algorithms, and implement models using Python.
The Artificial Intelligence Institute is a leading training provider for Machine Learning known for its updated course offerings and expert instructors.
Our courses are interactive, allowing the delegates to have the same quality learning experience as a classroom session.
The Artificial Intelligence Institute which is a part of The Skills Management - UK is the Leading global training provider for Machine Learning Course.
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