Machine Learning courses

1336 Courses

Reinforcement Learning beginner to master - AI in Python

Join the "Reinforcement Learning Beginner to Master - AI in Python" course on Udemy and master the art of building AI agents. Learn how to implement various deep reinforcement learning algorithms like A2C, REINFORCE, and DQN using PyTorch. This comprehensive course is perfectly suited for those interested in artificial intelligence, machine learnin.
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provider Udemy
pricing Paid Course
duration 11 hours
sessions On-Demand

Machine Learning Crash Course

Title: Machine Learning Crash Course Description: Master the essentials of Machine Learning in this comprehensive 2-hour course provided by Udemy. University: Not Applicable Provider: Udemy Categories: Machine Learning Courses
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provider Udemy
pricing Paid Course
duration 1-2 hours
sessions On-Demand

An Introduction to Machine Learning for Data Engineers

Title: An Introduction to Machine Learning for Data Engineers Description: This essential course serves as a prerequisite for mastering TensorFlow on Google's Cloud Platform, specifically designed for data engineers. Dive deep into the world of Machine Learning and enhance your skills in Python, Machine Learning, and Neural Networks. University: No.
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provider Udemy
pricing Paid Course
duration 1 hour 10 minutes
sessions On-Demand

Data Science Mega-Course: #Build

Course Title: Data Science Mega-Course: #Build Description: Dive into the world of data science with our comprehensive Mega-Course. Learn how to build and deploy projects using cutting-edge technologies in Data Science, Machine Learning, and Deep Learning. This course covers a wide array of tools and frameworks, including Python, Flask, Django, and.
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provider Udemy
pricing Paid Course
duration 133 hours
sessions On-Demand

Basics of Cloud Computing

Event Title: Basics of Cloud Computing Description: Delve into the essentials of cloud computing with this comprehensive workshop, covering everything from various service models to the future prospects of cloud technology. Ideal for beginners eager to understand the core concepts and advancements in cloud computing. Provider: Udemy Categories: Art.
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provider Udemy
pricing Paid Course
duration 1 hour 23 minutes
sessions On-Demand

Simplified: Intro to Machine Learning

Event Title: Simplified: Intro to Machine Learning Description: Dive into the basics of machine learning with our beginner-level course. Perfect for those starting their journey in the tech field, this course, provided by Udemy, delves into fundamental concepts and practical applications of machine learning. Explore key categories including Python,.
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provider Udemy
pricing Paid Course
duration 1-2 hours
sessions On-Demand

Introduction to Genetic Algorithms: Theory and Applications

Event Title: Introduction to Genetic Algorithms: Theory and Application Description: Dive deep into the world of heuristic artificial intelligence with our comprehensive course on Genetic Algorithms. Offered by Udemy, this course will guide you through the fundamental mechanisms behind Genetic Algorithms with practical applications in Matlab. Ideal.
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provider Udemy
pricing Paid Course
duration 7 hours
sessions On-Demand

NEW AWS Certified Data Analytics Specialty DAS C01 Course

Title: NEW AWS Certified Data Analytics Specialty DAS C01 Course Description: Aspiring to ace the NEW AWS Certified Data Analytics Specialty DAS C01 exam with a focus on Machine Learning and AI? Enroll in our comprehensive course on Udowe now! Provider: Udemy Categories: Machine Learning Courses, Big Data Courses, Data Science Courses, Data Visuali.
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provider Udemy
pricing Paid Course
duration 9 hours
sessions On-Demand

Python for Data Science & Machine Learning: Zero to Hero

Event Title: Python for Data Rights Science & Machine Learning: Zero to Hero Description: Elevate your skills with comprehensive online courses on Python for Data Science and Machine Learning. Whether a beginner or aiming to enhance your abilities, dive deep into Python essentials like Numpy, Pandas, Matplotlib, and Scikit-Learn. Gain expertise in.
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provider Udemy
pricing Paid Course
duration 6 hours
sessions On-Demand

Linear Algebra Mathematics for Machine Learning Data Science

Master Linear Algebra for Data Science and Machine Learning Embark on a comprehensive journey from the basics to advanced mastery in Linear Algebra, tailored specifically for applications in Data Science, Machine Learning, and Deep Learning. This complete course, provided by Udemy, covers all you need to evolve from a beginner to a pro. Dive deep i.
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provider Udemy
pricing Paid Course
duration 21 hours
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!