Machine Learning courses

1003 Courses

Exam Tips: Microsoft Azure AI Fundamentals (AI-900)

Title: Exam Tips: Microsoft Azure AI Fundamentals (AI-900) Description: Dive into the Microsoft Azure AI Fundamentals (AI-900) certification exam with LinkedIn Learning. This course will cover all necessary topics including cognitive services, machine learning, image analysis, and natural language processing to help you grasp the full capabilities.
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provider LinkedIn Learning
pricing Free Trial Available
duration 1-2 hours
sessions On-Demand

Programming Foundations: Fuzzy Logic

Event Title: Programming Foundations: Fuzzy Logic Description: Dive deep into the world of fuzzy logic with this comprehensive course provided by LinkedIn Learning. Fuzzy logic is a unique form of logic used in artificial intelligence (AI) that enables computers to manage partial truths, thereby mimicking human reasoning more closely. This course i.
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provider LinkedIn Learning
pricing Free Trial Available
sessions On-Demand

Tech Sense

Title: Tech Sense Description: Dive into the future of technology with Tech Sense, a cutting-edge event designed to explore the latest trends in technological innovation. Discover how emerging technologies like microservices, machine learning, and minification are shaping industries by enhancing efficiency and driving business value. This insightfu.
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provider LinkedIn Learning
pricing Free Trial Available
sessions On-Demand

Python Numpy: Machine Learning & Data Science Course

Unlock the potential of machine learning and data science with our comprehensive course on Python Numpy, available on Udemy. This specialized course is designed to help you master the fundamentals of Numpy Python, an essential tool for manipulating large datasets and performing complex mathematical operations efficiently. Whether you are new to dat.
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provider Udemy
pricing Paid Course
duration 9 hours
sessions On-Demand

Machine Learning in Spatial Analysis: GIS & Remote Sensing

Embark on an enlightening journey with the "Machine Learning in Spatial Analysis: GIS & Remote Sensing" course, available on Udemy. This comprehensive course offers an extensive exploration of employing machine learning techniques within Geographic Information Systems (GIS) and Remote Sensing using tools like QGIS and Google Earth Engine. Whether y.
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provider Udemy
pricing Paid Course
duration 5 hours 57 minutes
sessions On-Demand

Machine Learning & Generative AI for CXOs & Sr. Managers

Event: Machine Learning & Generative AI for CXOs & Sr. Managers Unlock the power of AI for top-level executives with this comprehensive course tailored for CXOs and senior managers. Explore key aspects such as AI readiness assessment, the demystification of Artificial Intelligence principles, and practical insights through 8 detailed case studies i.
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provider Udemy
pricing Paid Course
duration 5 hours 8 minutes
sessions On-Demand

Data Science Real World Projects in Python

Join our Data Science Real World Projects in Python course on Udemy and gain hands-on experience in AI, ML, NLP, and Time Series Analysis. Develop comprehensive projects that will boost your skills and enhance your resume to secure a position as a Data Scientist or ML Engineer. Explore categories including Artificial Intelligence, Python Programmin.
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provider Udemy
pricing Paid Course
duration 11 hours
sessions On-Demand

iOS 12 Swift 4.2 - The Complete iOS App Development Bootcamp

Title: iOS 12 Swift 4.2 - The Complete iOS App Development Bootcamp Description: Transform from a novice to a professional iOS app developer with our comprehensive bootcamp. This course utilizes Swift 4.2 and covers extensive topics such as machine learning, augmented reality, object-oriented programming, and more, making it your one-stop-shop to m.
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provider Udemy
pricing Paid Course
duration 55 hours
sessions On-Demand

Introduction to AI, Machine Learning and Python basics

Title: Introduction to AI, Machine Learning and Python Basics Description: Dive into the dynamic world of technology with our comprehensive course on Artificial Intelligence (AI) and Machine Learning. Understand essential algorithms and get started with the basics of Python programming. This course is perfect for beginners eager to explore AI, mach.
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provider Udemy
pricing Paid Course
duration 2-3 hours
sessions On-Demand

Become a Machine Learning Engineer

Title: Become a Machine Learning Engineer Description: Embark on a transformative journey with this comprehensive learning path designed for those aiming to advance their career in machine learning. Begin with an introduction to the fundamentals of AI and machine learning, before diving into practical exercises where you'll build machine learning a.
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provider LinkedIn Learning  Path
pricing Free Trial Available

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!