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Machine Learning courses

1795 Courses

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California Institute of Technology University of Oxford

Machine Learning for Data Analysis

Delve into the future of data analysis with the University of Oxford's "Machine Learning for Data Analysis" course, available on Coursera. This course is your gateway to predicting future trends and outcomes with your data. Machine learning stands at the forefront of this endeavor, offering a suite of predictive algorithms designed to unlock the pa.
provider Coursera
sessions On-Demand
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California Institute of Technology Coursera

Artificial Creativity

Title: Artificial Creativity Description: Dive into the intriguing intersection of artificial intelligence (AI) and creativity with the June 2021 release of Artificial Creativity, exclusively on Coursera. This comprehensive course delves into the rapidly evolving realm of creative AI, drawing on insights from both computer science and various creat.
provider Coursera
sessions On-Demand
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California Institute of Technology openSAP

SAP Data Intelligence for Enterprise AI

Unlock the potential of artificial intelligence in your enterprise with the SAP Data Intelligence for Enterprise AI course offered by openSAP. This comprehensive course serves as a primer to SAP's innovative AI/data science platform, designed to address complex data landscapes, establish scalable data pipelines, and oversee the complete data scienc.
provider openSAP
sessions On-Demand
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California Institute of Technology Coursera

Build Decision Trees, SVMs, and Artificial Neural Networks

Discover the final frontier in machine learning algorithms in our comprehensive course, "Build Decision Trees, SVMs, and Artificial Neural Networks," offered exclusively on Coursera. This intensive program marks the culmination of the Certified Artificial Intelligence Practitioner (CAIP) series, a professional certificate aimed at expanding your ex.
provider Coursera
sessions On-Demand
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California Institute of Technology Coursera

Bank Loan Approval Prediction With Artificial Neural Nets

Unlock the future of banking with our comprehensive online course titled "Bank Loan Approval Prediction With Artificial Neural Nets" available on Coursera. This project-based course is specifically designed to teach you how to construct and train a straightforward deep neural network to accurately predict personal loan approvals. Delve into a range.
provider Coursera
sessions On-Demand
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California Institute of Technology Coursera

Predicting the Weather with Artificial Neural Networks

Embark on a fascinating journey into the future of meteorology with our exclusive online course, "Predicting the Weather with Artificial Neural Networks," offered through Coursera. Over the span of an hour-long, project-based learning experience, participants will dive deep into a real-world challenge by utilizing a comprehensive dataset provided b.
provider Coursera
sessions On-Demand
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California Institute of Technology Coursera

AI For Everyone

Title: AI For Everyone Description: Discover the transformative power of Artificial Intelligence (AI) regardless of your professional background with our enriching course, "AI For Everyone," offered exclusively on Coursera. This captivating program is meticulously designed to deconstruct AI for non-technicians, aiming to enhance organizational comp.
provider Coursera
sessions On-Demand
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California Institute of Technology Udemy

Learn Artificial Neural Network From Scratch in Python

Embark on a comprehensive journey through the realm of artificial neural networks (ANN) with our in-depth Python course. This course is meticulously designed to provide you with the most extensive insights into neural network theory, coupled with hands-on experience in coding using Python and Numpy. What You Will Learn: How to code a neural networ.
provider Udemy
sessions On-Demand
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California Institute of Technology University of Illinois at Urbana-Champaign

Nearest Neighbor Collaborative Filtering

Discover the power of personalized recommendations with our course on Nearest Neighbor Collaborative Filtering, offered through Coursera by the University of Illinois at Urbana-Champaign. This course delves deep into the realm of making tailored suggestions using nearest-neighbor techniques. You'll start by mastering user-user collaborative filteri.
provider Coursera
sessions On-Demand
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California Institute of Technology Stanford University

Rethinking the AI-UX Boundary for Designing Human-AI Experiences

Delve into the complexities of designing AI-powered user experiences in this insightful talk. Discover the evolving boundary between AI and UX design, a realm where traditional distinctions blur, and collaboration becomes key. This presentation, delivered by a leading expert, explores the challenges and possibilities at the intersection of human-ce.
provider YouTube
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!