Machine Learning courses

1003 Courses

2024 Python for Machine Learning: A Step-by-Step Guide

Title: 2024 Python for Machine Learning: A Step-by-Step Guide Description: Dive into Data Science Projects using Python and explore key techniques such as Linear Regression, Logistic Regression, Random Forest, SVM, KNN, KMeans, XGBoost, and PCA. Master both supervised and unsupervised learning methods in this comprehensive course. Provider: Udemy U.
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provider Udemy
pricing Paid Course
duration 1 day 8 hours 5 minutes
sessions On-Demand

Data for Executives

Embark on a journey to master data strategy with our comprehensive course, "Data for Executegives," designed specifically for executives. Delve into the essentials of data strategy and its alignment with business objectives. Discover how to cultivate a data-driven culture within your organization and leverage the transformative powers of artificial.
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provider AWS Skill Builder
pricing Free Certificate
sessions On-Demand

AI & ML Starter Course with No-Code AI Projects [2024]

AI & ML Starter Course with No-Code AI Projects [2024] Embark on a journey to master Artificial Intelligence (AI) and Machine Learning (ML) without the need for coding. This comprehensive course, offered by Udemy, is perfect for beginners eager to dive into the realms of AI and ML through practical, hands-on projects. Unlock the potential of no-cod.
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provider Udemy
pricing Paid Course
duration 1 hour 16 minutes
sessions On-Demand

Natural Language Processing (NLP) in Python with 8 Projects

Enhance your skills in Natural Language Processing (NLP) with Python through 8 hands-on projects, offered by Udemy. Dive into the realms of Machine Learning, Deep Learning, and libraries like SpaCy, NLTK, and Sklearn. This course is ideal for those interested in gaining proficiency in areas like CNN (Convolutional Neural Networks) and Sentiment Ana.
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provider Udemy
pricing Paid Course
duration 10 hours
sessions On-Demand

Google Cloud (GCP) Professional Cloud Architect

Join our comprehensive Google Cloud (GCP) Professional Cloud Architect course on Udemy, perfect for individuals ranging from beginners to experienced professionals. Dive deep into classroom-style coaching that covers everything from the basics to advanced skills in Google Cloud Platform (GCP). This course also features new case studies, including E.
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provider Udemy
pricing Paid Course
duration 22 hours
sessions On-Demand

Computer Science 310: Current Trends in Computer Science & IT

Title: Computer Science 310: Current Trends in Computer Science & IT Description: Dive into the evolving world of technology with the course "Computer Science 310: Current Trends in Computer Science & IT". This course has been rigorously evaluated and is recommended for 3 semester hours, allowing transfer credits to over 2,000 colleges and universi.
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provider Study.com
pricing Paid Course
duration 11 hours 36 minutes
sessions On-Demand

Machine Learning using Python

Discover the power of Machine Learning using Python with this comprehensive course on Udemy. Dive into essential ML models including Linear and Logistic Regression, Decision Trees, XGBoost, and Support Vector Machines (SVM). Perfect for beginners and seasoned programmers alike, these lessons cover both theory and practical applications. Enroll toda.
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provider Udemy
pricing Paid Course
duration 18 hours 49 minutes
sessions On-Demand

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

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!