Machine Learning courses

1003 Courses

Responsible AI for Developers: Privacy & Safety

Join the Responsible AI for Developers: Privacy & Safety course to delve into critical aspects of AI privacy and safety. This comprehensive course covers practical methods and tools for implementing recommended practices in AI privacy and safety using Google Cloud products and open-source tools. Enhance your understanding and skills in AI et.
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Generative AI - Your Personal Code Reviewer

Generative AI - Your Personal Code Reviewer Generative AI - Your Personal Code Reviewer Dive into the forefront of coding evolution with our comprehensive course, "Generative AI - Your Personal Code Reviewer." This immersive course is tailored for learners seeking to unlock the full potential of generative AI in the world of code review and.
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MathWorks Computer Vision Engineer

MathWorks Computer Vision Engineer Prepare for a career in the rapidly expanding field of computer vision. The ability to extract meaningful information from visual data is crucial for efficiently developing smart monitoring systems, enhancing medical diagnostics, and powering the next generation of autonomous vehicles. This program is designed.
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Data Science Foundations: Knowledge Graphs

Data Science Foundations: Knowledge Graphs Enhance your information management skills with our comprehensive course on knowledge graphs. Available on LinkedIn Learning, this course delves into various knowledge graph tools, techniques for networking databases, and methods to construct a robust digital knowledge base. University: Provider: Lin.
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Advanced Machine Learning with ENCOG

Advanced Machine Learning with ENCOG In this course, you will delve into advanced topics related to machine learning, focusing on enhancing the accuracy of neural network predictive models. Explore the different types of neural networks and their implementations using the open-source machine learning framework ENCOG. Are you concerned about you.
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Introduction to Machine Learning with ENCOG 3

Introduction to Machine Learning with ENCOG 3 This machine-learning course is dedicated to the implementation and applications of various methods using ENCOG 3. Initiate your free trial today! While the domain of machine learning is extensive, this course narrows its focus to neural networks. We begin by building a foundation, explaining machin.
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Intro to Snowflake for Devs, Data Scientists, Data Engineers

Intro to Snowflake for Devs, Data Scientists, Data Engineers Unlock the potential of Snowflake with our comprehensive course designed for developers, data scientists, and data engineers. This course introduces you to Snowflake as a powerful platform for building applications, creating data pipelines, and developing AI models and workflows. You'll.
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Advanced Microsoft Power BI

Welcome to Advanced Microsoft Power BI, where you'll embark on a journey to acquire practical expertise in data handling and machine learning to harness the power of Microsoft Power BI for data visualization and decision-making skills. Throughout this course, you'll explore industry-specific applications of Power BI and use advanced Power BI fea.
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Analyze Taylor Swift Lyrics with Python Case Study

Analyze Taylor Swift Lyrics with Python Case Study Use sentiment analysis and natural language processing to analyze Taylor Swift's lyrics. If you're looking to analyze large amounts of text and gain deeper insight into music, try this case study. You will put your natural language processing and machine learning skills to use.

AWS で始める生成系 AI for Entry (Japanese ONLY) (Na) 日本語実写版

AWS で始める生成系 AI for Entry (Japanese ONLY) (Na) 日本語実写版 これから生成系 AI を業務で活用していく上で、そもそも生成系 AI とは何なのか、どのような技術的背景や、種類があり、業務で活用する上でのユースケースや課題を学習します。また、それらの課題に対して、AWS がどのように活用できるかを学習します。本コースは、AWS における生成系 AI の学習の第一歩.
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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!