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Machine Learning courses

1770 Courses

California Institute of Technology LinkedIn Learning

Azure Machine Learning Development: 2 Learning ML Studio

Azure Machine Learning Development: Learning ML Studio University: - Provider: LinkedIn Learning Categories: Machine Learning Courses, Microsoft Azure Courses, Data Analysis Courses, Data Cleaning Courses, Model Evaluation Courses, Model Training Courses
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California Institute of Technology

Foundations of Machine Learning

Foundations of Machine Learning | University | Provider Discover the foundational concepts of machine learning in this comprehensive course. You'll cover essential topics, including data representation, model building, neural networks, and the intricate learning processes that power AI. Hands-on experience with Flux.jl, a sophisticated.
California Institute of Technology Coursera

Machine Learning Essentials for Business and Technical Decision Makers

Machine Learning Essentials for Business and Technical Decision Makers | Coursera In this course, you will learn about best practices and recommendations for machine learning (ML). The course explores how to roadmap for integrating ML into your business processes, explores requirements to determine if ML is the appropriate solution to a business.
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California Institute of Technology Coursera

Developing Machine Learning Solutions

In this machine learning course, you will learn about the machine learning lifecycle and how to use AWS services at every stage. Additionally, you will discover the diverse sources for machine learning models and learn techniques to evaluate their performance. You will also understand the importance of machine learning operations (MLOps) in str.
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California Institute of Technology Coursera

Essentials of Prompt Engineering

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California Institute of Technology Coursera

Fine-tuning Language Models for Business Tasks

Fine-tuning Language Models for Business Tasks This course demystifies the concept of "LLM fine-tuning" and its critical applications in the business world. In the context of rapidly evolving AI technologies, understanding how to fine-tune Large Language Models (LLMs) is essential for businesses to stay competitive. The course covers foundationa.
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California Institute of Technology Coursera

GenAI for Data Scientists

GenAI for Data Scientists GenAI for Data Scientists is tailored for professionals eager to integrate Generative AI (GenAI) into their data science practices. This introductory course simplifies the complex realm of GenAI, illustrating its remarkable impact on data analysis, predictive modeling, and more. You will gain a thorough understanding o.
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California Institute of Technology Waseda University

Deep Learning for Bioscientists

Elevate your research with deep learning Deep learning, a popular branch of machine learning, enables computers to process data like the human brain, using similar approaches to how we believe our brains process information, to help with solving complex problems and generating highly accurate insights. On this five-week course, you’ll develop esse.
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California Institute of Technology LinkedIn Learning

Alteryx for Financial Services

Alteryx for Financial Services Unlock the power of Alteryx in the financial services sector with our comprehensive course. Designed for professionals seeking to leverage no-code/low-code data analysis software, this course provides an in-depth overview of Alteryx's capabilities. Provider: LinkedIn Learning Categories: Machine Learning Cours.
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California Institute of Technology LinkedIn Learning

Leveraging Cloud-Based Machine Learning on Azure: Real-World Applications

Leveraging Cloud-Based Machine Learning on Azure: Real-World Applications Course Title: Leveraging Cloud-Based Machine Learning on Azure: Real-World Applications Description: Learn the basics of leveraging Microsoft Azure for AI-based applications, including key tools and the processes for using them correctly. Provider: LinkedIn Learning Catego.
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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!