Machine Learning courses

1336 Courses

Machine Learning - Regression and Classification (math Inc.)

Title: Machine Learning - Regression and Classification (Math Inc.) Description: Dive into the realms of machine learning from beginner to advanced levels with our comprehensive guide. This course, offered on Udemy, focuses on practical learning integrated with detailed mathematical theories. Perfect for those eager to master both regression and cl.
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provider Udemy
pricing Paid Course
duration 17 hours
sessions On-Demand

Machine Learning Classification Bootcamp in Python

Join the Machine Learning Classification Bootcamp in Python, offered by Udemy. This comprehensive course is designed to advance your skills in machine learning through hands-on learning and practical projects. Engage in 10 practical projects that cover key concepts and algorithms in Python and Scikit Learn, perfect for enhancing your expertise in f.
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provider Udemy
pricing Paid Course
duration 12 hours
sessions On-Demand

Advanced analysis of outliers in R and Matlab

Join our comprehensive course, Advanced Analysis of Outliers in R and Matlab, presented by Udemy. This training is essential for individuals eager to master robust data analysis techniques pivotal in fields like Data Mining, Statistics, and Machine Learning. Enhance your skills in some of the most powerful analytical tools used in Artificial Intell.
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provider Udemy
pricing Paid Course
duration 9 hours
sessions On-Demand

Data Science Masterclass With R 8 Case Studies + 4 Projects

Title: Data Science Masterclass With R: 8 Case Studies + 4 Projects Description: Dive deep into the world of data science with this comprehensive masterclass by an experienced IITian on Udemy. Enhance your skills in R programming, data analysis, data visualization, data pre-processing, and more. Ideal for learners at all levels, this course comes p.
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provider Udemy
pricing Paid Course
duration 32 hours
sessions On-Demand

Machine Learning and AI: Support Vector Machines in Python

Title: Machine Learning and AI: Support Vector Machines in Python Description: Dive deep into Artificial Intelligence and Data Science with our comprehensive course on Python. Learn essential algorithms for Classification and Regression using Support Vector Machines. Enroll now and enhance your skills in Python, Machine Learning, and SVM techniques.
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provider Udemy
pricing Paid Course
duration 8 hours 58 minutes
sessions On-Demand

Practical Introduction to Machine Learning with Python

Title: Practical Introduction to Machine Learning with Python Description: Dive into the fundamentals of Artificial Intelligence (AI) and Machine Learning (ML) with this concise course. Perfect for beginners eager to understand the core concepts and applications of AI and ML. University: Not specified Provider: Udemy Categories: Artificial Intellig.
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provider Udemy
pricing Paid Course
duration 4 hours 18 minutes
sessions On-Demand

Master Complete Statistics For Computer Science - I

Title: Master Complete Statistics For Computer Science - I Description: Dive into the essential world of Probability & Statistics, crucial for advancements in Machine Learning, Artificial Intelligence, Data Science, and Neural Networks. This comprehensive course is now available on Udemy. Provider: Udemy Categories: Artificial Intelligence Courses,.
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provider Udemy
pricing Paid Course
duration 21 hours 21 minutes
sessions On-Demand

Fundamentals of Machine Learning with Python Implementation.

Title: Fundamentals of Machine Learning with Python Implementation Description: Dive into the basics of machine learning with our comprehensive course designed for students who aim to master the fundamentals and the math behind the techniques. Begin from scratch and become adept at implementing machine learning algorithms using Python.
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provider Udemy
pricing Paid Course
duration 7 hours
sessions On-Demand

XG-Boost 101: Used Cars Price Prediction

Title: XG-Boost 101: Used Cars Price Prediction Description: Dive into the realm of machine learning with our hands-on project where you'll learn to predict used car prices using three different algorithms: Multiple Linear Regression, Random Forest Regression, and XG-Boost. Ideal for car dealerships, this project will enhance your understanding of.
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provider Coursera
pricing Paid Course
duration 2-3 hours
sessions On-Demand

Python For Beginners - Python Bootcamp - Python Programming

Join Our Comprehensive Python Bootcamp: Python for Beginners Start your programming journey with our beginner-friendly Python course on Udemy. This hands-on bootcamp is designed to build your Python skills from the ground up. Whether you're completely new to programming or looking to refresh your basics, our course is tailored for absolute beginner.
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provider Udemy
pricing Paid Course
duration 9 hours 37 minutes
sessions On-Demand

More and more products are now being developed using artificial intelligence. To avoid being left on the sidelines of progress, managers must understand how the robot’s “brains” work

Artificial intelligence (AI) and machine learning technologies have been used for many years, but now the intensity of their use has increased significantly. For example, machine learning is being actively implemented in telecommunications, retail, marketing and e-commerce. But many still do not fully understand what it is.

Machine learning involves the system processing a large number of examples, during which it identifies patterns and uses them to predict the characteristics of new data. In other words, this is the process of giving AI ml courses “consciousness”, the ability to remember and analyze.

Machine learning use cases

The use of machine learning has touched many areas in our lives. Let's look at the most striking examples of the use of computer intelligence:

Facial recognition in the subway will help identify violators or criminals in a huge mass of people. Ordinary observers cannot cope with this task. But a fast-learning machine will do this job without any problems.

What do you need for machine learning (ML)?

For those interested in training, there are several requirements to be met in order to be successful in this field. So, there are the main points you need to know about the machine learning course. These requirements include:

  1. Basic knowledge of programming languages such as Python, R, Java, JavaScript, etc.

  2. Average knowledge of statistics and probability.

  3. Basic knowledge of linear algebra in the ml course. In a linear regression model, a line is drawn through all the data points, and that line is used to calculate new values.

  4. Understanding Calculus.

  5. Knowledge of how to clean and structure raw data into the desired format to reduce the time required for decision making.

Machine learning courses from AI Eeducation are the best choice!