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Machine Learning courses

1795 Courses

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California Institute of Technology egghead.io

Natural Language Processing in JavaScript with Natural

Embark on a journey through the realm of Natural Language Processing (NLP) in JavaScript with our comprehensive course, brought to you exclusively by egghead.io. Dive into the intricacies of Natural's API, a powerful tool for processing text through JavaScript. This course is meticulously designed to teach you the essentials of manipulating languag.
provider egghead.io
sessions On-Demand
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California Institute of Technology Microsoft Learn

Scale AI in your organization

Title: Scale AI in your organization. Description: Learn how to effectively scale AI in your organization with our comprehensive, free online course offered by Microsoft Learn. This course is divided into two essential modules: Module 1: Enterprise AI Management - This module delves into the fundamentals of scaling AI across your enterprise. Key.
provider Microsoft Learn
sessions On-Demand
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California Institute of Technology Udemy

Microsoft Azure Cognitive Services Crash Course

Enroll in our crash course on Microsoft Azure Cognitive Services offered by Udemy, and unlock the potential to create intelligent applications in mere minutes. This comprehensive course covers everything you need to know about Azure's Cognitive Services, including Vision, Language, Speech, Decision, and Search services. Whether you're interested in.
provider Udemy
sessions On-Demand
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California Institute of Technology Udacity  Nanodegree

AI Engineer using Microsoft Azure

The AI Engineer using Microsoft Azure Nanodegree program, offered in partnership with Udacity, aims to arm learners with the essential expertise to pursue careers as Azure AI engineers or AI engineers specializing in Azure's AI and machine learning capabilities. This comprehensive program covers the implementation of machine learning models, the de.
provider Udacity  Nanodegree
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California Institute of Technology Pluralsight

Literacy Essentials: Core Concepts Recurrent Neural Networks

Embark on a journey to master the essence of Recurrent Neural Networks (RNN) with our comprehensive course, "Literacy Essentials: Core Concepts Recurrent Neural Networks," offered through Pluralsight. This meticulously designed program is your gateway to understanding not just what Recurrent Neural Networks are but also how they compare and contras.
provider Pluralsight
sessions On-Demand
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California Institute of Technology LinkedIn Learning

Transformers: Text Classification for NLP Using BERT

Discover the power of transformers in "Transformers: Text Classification for NLP Using BERT", a comprehensive course brought to you by LinkedIn Learning. This course delves into the world of transformers, currently the leading architecture for addressing a variety of tasks within Natural Language Processing (NLP) and computer vision. Designed for e.
provider LinkedIn Learning
sessions On-Demand
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California Institute of Technology Udemy

Natural Language Processing (NLP) with BERT

```html Unlock the power of Natural Language Processing (NLP) with BERT in this comprehensive online course offered by Udemy. Dive deep into the world of movies reviews semantic analysis using BERT, one of the most advanced NLP models. Whether you're a beginner or an experienced professional, this course is designed to enhance your skills in Python.
provider Udemy
sessions On-Demand
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California Institute of Technology Microsoft Learn

Integrate Azure Synapse Analytics with Azure Data and AI services

Title: Integrate Azure Synapse Analytics with Azure Data and AI Services Description: Enhance your data analytics skills by learning how to integrate Azure Synapse Analytics with Azure Data and AI services. This course, offered by Microsoft Learn, covers crucial elements of utilizing Azure Synapse Analytics to its full potential. Module Highlights:.
provider Microsoft Learn
sessions On-Demand
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California Institute of Technology Coursera

CNNs with TensorFlow: Basics of Machine Learning

Join our comprehensive course, "CNNs with TensorFlow: Basics of Machine Learning," available on Coursera, and embark on a 90-minute, project-based journey into the world of machine learning. This course is meticulously designed for individuals eager to delve into the practical aspects of utilizing TensorFlow to craft and manage neural network model.
provider Coursera
sessions On-Demand
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California Institute of Technology Coursera

Data Balancing with Gen AI: Credit Card Fraud Detection

Discover the power of Generative AI in combating credit card fraud with our 2-hour guided project titled "Data Balancing with Gen AI: Credit Card Fraud Detection". Offered by Coursera, this project is in collaboration with SecureTrust Financial Services, aiming to showcase how Generative Adversarial Networks (GANs) can be used to generate synthetic.
provider Coursera
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!