Machine Learning courses

1003 Courses

Complete Machine Learning & Data Science with Python| ML A-Z

Title: Complete Machine Learning & Data Science with Python| ML A-Z Description: Master the essentials of machine learning and data science with our comprehensive course on Udemy. Dive into Python essentials like Numpy, Pandas, Matplotlib, and Seaborn, along with advanced topics like Scipy, Supervised & Unsupervised Machine Learning A-Z, and featur.
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provider Udemy
pricing Paid Course
duration 11 hours 14 minutes
sessions On-Demand

Communicating Insights from Microsoft Azure to the Business

Title: Communicating Insights from Microsoft Azure to the Business Description: Enterprises are constantly seeking ways to gain a competitive advantage by leveraging the vast reserves of big data at their disposal. This comprehensive course equips you with the skills needed to analyze large volumes of data and communicate essential business insight.
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provider Pluralsight
pricing Free Trial Available
duration 2-3 hours
sessions On-Demand

Fundamentals of Machine Learning on AWS

Title: Fundamentals of Machine Learning on AWS Description: Dive into the dynamic world of machine learning with our comprehensive course, "Fundamentals of Machine Learning on AWS," offered by Pluralsight. This course is perfect for individuals looking to understand and apply machine learning technologies to real-world business problems using Amazo.
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provider Pluralsight
pricing Free Trial Available
duration 2-3 hours
sessions On-Demand

Python Programming: Machine Learning, Deep Learning | Python

Title: Python Programming: Machine Learning, Deep Learning | Python Description: Dive into the world of Python with a focus on Machine Learning and Deep Learning. This comprehensive course, available on Udemy, covers Data Analysis, Artificial Intelligence, Object-Oriented Programming (OOP), and hands-on Python Projects. Enhance your skills and know.
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provider Udemy
pricing Paid Course
duration 21 hours 15 minutes
sessions On-Demand

Complete Machine Learning & Data Science with Python | A-Z

Embark on a comprehensive journey in Complete Machine Learning & Data Science with Python | A-Z. Discover the power of Python for data science and machine learning, utilizing tools like Scikit, NumPy, Pandas, Matplotlib, and Seaborn. Whether you're learning supervised or unsupervised learning or delving into specific methodologies like linear r.
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provider Udemy
pricing Paid Course
duration 8 hours 42 minutes
sessions On-Demand

5 Machine Learning Projects from Dataisgood / Great Reviews

Title: 5 Machine Learning Projects from Dataisgood with Excellent Reviews Description: Enroll in the Complete Machine Learning Bootcamp with Python offered by Udemy and build five comprehensive real-world Machine Learning projects. This course is designed to give you hands-on experience and equip you with the skills needed to apply Machine Learning.
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provider Udemy
pricing Paid Course
duration 1 day 2 hours 13 minutes
sessions On-Demand

Implementing Multi-layer Neural Networks with TFLearn

Title: Implementing Multi-layer Neural Networks with TFLearn Description: Dive into the world of deep learning with this comprehensive course from Pluralsight, focused on implementing multi-layer neural networks using TFLearn, a highly intuitive library built on top of TensorFlow. This course is designed for machine learning engineers looking to le.
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provider Pluralsight
pricing Free Trial Available
duration 2-3 hours
sessions On-Demand

Data Science and Machine Learning Masterclass with R

Join the Data Science and Machine Learning Masterclass with R, provided by Udemy and tailored by experienced instructors from IIT. This comprehensive course covers crucial topics such as Data Manipulation, Data Visualization, and Data Analytics, all within the realm of Data Science. Perfect for students and professionals eager to enhance their skil.
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provider Udemy
pricing Paid Course
duration 15 hours
sessions On-Demand

Leveraging Cloud-Based Machine Learning on Google Cloud Platform: Real World Applications

Title: Leveraging Cloud-Based Machine Learning on Google Cloud Platform: Real World Applications Description: Dive into the fundamentals of using Google Cloud Platform to develop AI-centric applications in this comprehensive course. Gain hands-on experience with the platform's tools and learn the best practices for their effective use. University:.
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provider LinkedIn Learning
pricing Free Trial Available
duration 1-2 hours
sessions On-Demand

iOS 12: Learn to Code & Build Real iOS 12 Apps in Swift 4.2

Title: iOS 12: Learn to Code & Build Real iOS 12 Apps in Swift 4.2 Description: Dive into iOS 12 development in this comprehensive course designed to teach you how to code using Swift 4.2. Gain the skills to create full-stack applications from scratch, integrating the latest technological advancements in Core ML 2 and ARKit 2. This is your path.
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provider Udemy
pricing Paid Course
duration 52 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!