Machine Learning courses

1003 Courses

Microsoft Azure Cognitive Services: Text to Speech API

In this course, you will gain a foundational knowledge of the Text to Speech API that will help you move forward with your overall understanding of the Microsoft Cognitive Services Suite. With AI becoming more and more ubiquitous in application development, it is important to quickly and easily integrate intelligence into your application. In this.
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provider Pluralsight
pricing Free Trial Available
duration 1-2 hours
sessions On-Demand

Customer Insights and Consumer Analytics for Organizations: Concepts

Turn your customers into lifelong fans. Learn how to operationalize customer insights and consumer analytics to better understand and address your target audience's needs. Due to the web and social media, customers have more control than ever. In today's business landscape, companies in both business-to-business and business-to-consumer verticals.
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provider LinkedIn Learning
pricing Free Trial Available
duration 1-2 hours
sessions On-Demand

Advanced Embedded Systems on Arm

Advanced Embedded Systems on Arm The emergence of advanced embedded systems applications powered by the Internet of Things (IoT), Machine Learning (ML) and Edge Computing is changing the way we collect and optimize the data gathered from the world around us. With the advent of ‘always-on’, mobile and powerful smart devices enabled by Arm’s rich e.
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provider edX  Professional Certificate
pricing $198.00
duration 13 weeks, 3-6 hours a week

Python : Master Programming and Development with 15 Projects

Python: Master Programming and Development with 15 Projects - Udemy Python: Master Programming and Development with 15 Projects Embark on a comprehensive journey to learn Python with this extensive course. Covering everything from the basics to advanced topics like Data Science, Data Visualization, Desktop Graphical Appl.
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provider Udemy
pricing Paid Course
duration 1 day 8 hours 8 minutes
sessions On-Demand

Introduction to Data Science using Python (Module 1/3)

Introduction to Data Science using Python (Module 1/3) Explore the fundamentals of data science and machine learning using Python with this comprehensive module offered on Udemy. Whether you're a beginner or looking to brush up on your skills, this course caters to all levels. Dive into the powerful Scikit Learn library and unlock the potential of.
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provider Udemy
pricing Free Online Course
duration 2 hours 32 minutes
sessions On-Demand

Machine Learning A-Z: AI, Python & R + ChatGPT Prize [2024]

Title: Machine Learning A-Z: AI, Python & R + ChatGPT Prize [2024] Description: Master the art of crafting machine learning algorithms with our comprehensive course led by seasoned data science experts. This insightful program on Udemy covers both Python and R, providing useful code templates to enhance your learning experience. Jumpstart your jour.
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provider Udemy
pricing Paid Course
duration 1 day 18 hours 40 minutes
sessions On-Demand

From Data to Insights with Google Cloud

Discover the power of big data analysis with the "From Data to Insights with Google Cloud" specialization offered online through Coursera. This comprehensive four-course program is specifically designed for Data Analysts, Business Intelligence professionals, and Cloud Data Engineers seeking to enhance their skills in scalable data solutions using G.
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provider Coursera  Specialization
pricing Paid Course
duration 22 weeks, 2 hours a week

University Admission Prediction Using Multiple Linear Regression

University Admission Prediction Using Multiple Linear RegressionJoin us in this interactive project on Coursera where we delve into the practical applications of regression models to predict university admissions. Learn how to calculate the acceptance probability of a student to a specific university based on their profile. This project aims to equ.
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provider Coursera
pricing Paid Course
duration 1-2 hours
sessions On-Demand

From Developer to Entrepreneur

Title: From Developer to Entrepreneur Description: Currently, millions of students are enrolling in machine learning courses, with many aspiring to launch their own ventures. Sramana Mitrah, a staunch advocate for democratizing entrepreneurship and entrepreneurial capitalism, envisions a future where wealth creation reaches the middle of the pyrami.
provider Swayam
pricing Free Online Course
sessions On-Demand

Interpretable machine learning applications: Part 3

Title: Interpretable Machine Learning Applications: Part 3 Description: Join our intensive 50-minute project-based course, titled "Interpretable Machine Learning Applications: Part 3", available on Coursera. This course is designed to equip participants with the ability to apply sophisticated explanation techniques and algorithms for interpreting p.
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provider Coursera
pricing Paid Course
duration 1-2 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!