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Machine Learning courses

1795 Courses

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California Institute of Technology Udemy

100 Days of Code: Python Developer Challenge

Join the "100 Days of Code: Python Developer Challenge" on Udemy and become a Python Ninja! Enhance your programming skills daily with our comprehensive training in Python, Machine Learning, Data Analysis, and Web Development. Perfect for aspiring developers, this challenge is designed to boost your expertise one day at a time. Don't miss this oppo.
provider Udemy
sessions On-Demand
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California Institute of Technology Coursera

Follow a Machine Learning Workflow

Embark on a comprehensive journey through the machine learning workflow with the second course of the Certified Artificial Intelligence Practitioner (CAIP) professional certificate, offered exclusively on Coursera. This detailed course moves beyond basics and delves into each crucial step of the machine learning process, from the initial problem fo.
provider Coursera
sessions On-Demand
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California Institute of Technology Udemy

Machine Learning for Absolute Beginners - Level 1

Event Title: Machine Learning for Absolute Beginners - Level 1 Description: Dive into the world of AI with our introductory course, "Machine Learning for Absolute Beginners - Level 1." Offered by Udemy, this course is perfect for those seeking to understand the foundational elements of artificial intelligence and machine learning. Explore how these.
provider Udemy
sessions On-Demand
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California Institute of Technology Udemy

A Beginner's Guide To Machine Learning with Unity

Event Title: A Beginner's Guide To Machine Learning with Unity Description: Dive into the world of advanced game AI and explore how genetic algorithms, neural networks, and Q-learning can be implemented in C# using TensorFlow with Unity. This comprehensive course is perfect for those new to machine learning and game development. Provider:Udemy Cate.
provider Udemy
sessions On-Demand
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California Institute of Technology DataCamp

Modeling with Data in the Tidyverse

Title: Modeling with Data in the Tidyverse Description: Engage with various data modeling techniques in this comprehensive course provided by DataCamp, focusing on prediction and explanatory models using the Tidyverse. Participants will delve into the essentials of linear regression and learn how to assess models effectively. Models play a pivotal.
provider DataCamp
sessions On-Demand
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California Institute of Technology Pluralsight

Developing Applications with AWS Rekognition

Title: Developing Applications with AWS Rekognition Description: Dive into the world of artificial intelligence with our course on Developing Applications with AWS Rekognition. Explore how AWS's powerful image and video processing tools can enhance your applications. This in-depth course covers essential topics including facial recognition for biom.
provider Pluralsight
sessions On-Demand
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California Institute of Technology Pluralsight

Machine Learning for Business Professionals

Machine Learning for Business Professionals Curious about machine learning and its potential impact on your business? Enroll in our introductory course tailored for corporate leaders and non-technical professionals. Offered by Pluralsight, this program demystifies machine learning, showing you how to define business issues as machine learning chall.
provider Pluralsight
sessions On-Demand
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California Institute of Technology Udemy

Complete Python Programming 2020: Beginner to Advanced

Unlock the full potential of Python with the "Complete Python Programming 2020: Beginner to Advanced" course available on Udemy. This comprehensive course covers all aspects of Python programming from the basics to advanced techniques. Dive into specialized areas such as Machine Learning, Data Science, Game Development, Data Mining, and Object-Orie.
provider Udemy
sessions On-Demand
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California Institute of Technology Udemy

Deep Learning Prerequisites: Linear Regression in Python

Title: Deep Learning Prerequisites: Linear Regression in Python Description: Explore the fundamentals of data science, machine learning, and artificial intelligence with a focus on Python. This course is ideal for both students and professionals eager to deepen their understanding of linear regression techniques and gradient descent methodologies..
provider Udemy
sessions On-Demand
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California Institute of Technology Udemy

Machine Learning for Beginners with 6 Real World Projects

Title: Machine Learning for Beginners with 6 Real World Projects Description: Dive into the realm of machine learning with this comprehensive course designed for all skill levels. Whether you're just starting or looking to deepen your understanding, this course on Udemy covers everything from foundational concepts to advanced applications. You'll w.
provider Udemy
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!