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Machine Learning courses

1795 Courses

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California Institute of Technology Udemy

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.
provider Udemy
sessions On-Demand
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California Institute of Technology Udemy

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.
provider Udemy
sessions On-Demand
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California Institute of Technology Udemy

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.
provider Udemy
sessions On-Demand
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California Institute of Technology Udemy

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.
provider Udemy
sessions On-Demand
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California Institute of Technology Udemy

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.
provider Udemy
sessions On-Demand
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California Institute of Technology LinkedIn Learning  Path

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.
provider LinkedIn Learning  Path
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California Institute of Technology Udemy

Linear Algebra for Data Science & Machine Learning A-Z 2023

Event Title: Linear Algebra for Data Science & Machine, Learning A-Z 2023 Description: Dive into the essentials of Linear Algebra tailored specifically for Data Science, Big Data, Machine Learning, Engineering, and Computer Science. This comprehensive course on Udemy is designed to help you master the core concepts and techniques of Linear Algebra,.
provider Udemy
sessions On-Demand
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California Institute of Technology LinkedIn Learning

Data Infrastructure and AI/ML

Title: Data Infrastructure and AI/ML Description: Dive into the synergistic sphere where big data converges with artificial intelligence and machine learning. This audio-only course, originally part of the Free the Data Podcast, is now available through LinkedIn Learning. University: Provider: LinkedIn Learning Categories: Artificial Intelligence C.
provider LinkedIn Learning
sessions On-Demand
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California Institute of Technology LinkedIn Learning

Digital Transformation in Supply Chains

Join our comprehensive course, "Digital Transformation in Supply Chains," offered by LinkedIn Learning. This program delves into prevalent issues within supply chain management and illustrates effective utilization of advanced technologies to devise innovative solutions for businesses. Categories covered include Artificial Intelligence, Machine Lea.
provider LinkedIn Learning
sessions On-Demand
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California Institute of Technology LinkedIn Learning

Data Science Foundations: Fundamentals

Title: Data Science Foundations: Fundamentals Description: Dive into the world of data science with our engaging course, "Data Science Foundations: Fundamentals." This beginner-friendly module offers a comprehensive overview of data science, tailored to provide an understanding of the foundational vocabulary, essential skills, and various job roles.
provider LinkedIn Learning
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!