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Machine Learning courses

1795 Courses

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California Institute of Technology Udemy

Neural Networks in Python from Scratch: Complete guide

Embark on a complete journey to understand neural networks with our course "Neural Networks in Python from Scratch." Dive into the world of Deep Learning, learning to build neural networks with Python from the ground up. Gain insights into both theory and hands-on practice, providing you with a robust understanding of deep learning methodol.
provider Udemy
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California Institute of Technology Udemy

Technology and Innovation for Legal Professionals

Are you a legal professional looking to stay ahead in the rapidly evolving legal landscape? Enroll in "Technology and Innovation for Legal Professionals" and transform your skillset. Offered by Udemy, this course is designed to provide you with essential tech knowledge. Immerse yourself in the world of Artificial Intelligence, Machine Learni.
provider Udemy
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California Institute of Technology Udemy

Causal Data Science with Directed Acyclic Graphs

Delve into the world of causal data science with a focus on directed acyclic graphs (DAGs). This comprehensive course equips you with modern tools essential for causal inference in the realms of machine learning and AI. Discover a multitude of practical examples utilizing R, enhancing both your theoretical understanding and practical skills. O.
provider Udemy
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California Institute of Technology Udemy

Machine Learning Product Management: A Practical Guide

Embark on a dynamic career path in Machine Learning Product Management with our dedicated course on Udemy. This practical guide is designed to equip you with essential skills to excel in fields such as Artificial Intelligence, Data Science, and Product Management. Delve into specialized areas including Data Transformation, Model Evaluation, M.
provider Udemy
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California Institute of Technology Udemy

The Grey Wolf Optimizer

Unlock the fascinating world of optimization with "The Grey Wolf Optimizer" course. Designed to elevate your understanding and proficiency, this Udemy course delves into the inspirations and theories behind the Grey Wolf Optimizer. Enhance your capability in mathematical modeling and practical applications as you navigate through the comprehe.
provider Udemy
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California Institute of Technology Udemy

How to easily use ANN for prediction mapping using GIS data?

Unlock the power of Artificial Neural Networks (ANNs) for Geographical Information Systems (GIS) with this comprehensive Udemy course. You'll learn how to leverage R programming to create effective prediction mapping using GIS data. This course, designed for enthusiasts and professionals alike, offers a simplified step-by-step methodology tha.
provider Udemy
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California Institute of Technology Udemy

How To Build AI / Machine Learning Startups | Sramana Mitra

Delve into the dynamic world of Artificial Intelligence and Machine Learning startups with expert guidance from Sramana Mitra. This course provides invaluable insights through case studies and showcases innovation and practical lessons from the forefront of AI and ML ventures. Available on Udemy, this learning experience is perfect for aspirin.
provider Udemy
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California Institute of Technology Udemy

Introduction to Artificial Neural Network and Deep Learning

Unlock the potential of artificial neural networks and deep learning with our comprehensive course on Udemy. Delve into the best machine learning techniques specifically tailored for data science, with practical applications in image recognition using Java and the Neuroph framework. Perfect for aspiring data scientists and developers eager t.
provider Udemy
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California Institute of Technology Coursera

GenAI for Financial Data Analysis

Dive into the world of Generative AI (GEN AI) and its remarkable impact on financial data analysis. This course offers hands-on exploration into how AI tools such as Microsoft Co-Pilot, ChatGPT, Datarobot, and Chartpixel are revolutionizing financial analytics. Designed for those with a foundational understanding of financial data and AI, t.
provider Coursera
California Institute of Technology Dartmouth College

AI in Accounting

Discover the transformative impact of Artificial Intelligence on accounting practices with our comprehensive course at Dartmouth College. Offered through Swayam, this course delves into integrating AI technologies into traditional accounting frameworks. Start with a strong foundation in accounting principles and progress towards advanced topic.
provider Swayam

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!