Machine Learning courses

1656 Courses

Udemy

Amazon Bedrock Masterclass: The Ultimate Generative AI Guide

Unlock the secrets of Generative Artificial Intelligence with the newly updated Amazon Bedrock Masterclass. Dive into the comprehensive guide that now includes the advanced Claude 3.5 Sonnet v2. Whether you're starting from the basics or looking to refine your skills, this course provides a robust learning experience on AWS. Offered by Udemy,.

Udemy

Data Mining for Business Analytics & Data Analysis in Python

Embark on a comprehensive learning journey with the "Data Mining for Business Analytics & Data Analysis in Python" course offered by Udemy. This course is tailored for enthusiasts and professionals eager to explore the depths of data mining, business analytics, and the intriguing world of explainable AI through Python. Dive into the essentia.

Udemy

Generative Adversarial Networks (GANs): Complete Guide

Embark on a journey into the innovative world of Generative Adversarial Networks (GANs) with our complete guide. This course offers an in-depth exploration of deep learning and computer vision, empowering you to implement transformative projects utilizing GANs, a pivotal technology reshaping the digital landscape. Offered by Udemy, this course.

Udemy

Intro to Natural Language Processing (NLP) in Python for AI

Intro to Natural Language Processing (NLP) in Python for AI Delve into the fascinating world of Natural Language Processing (NLP) and explore its pivotal role in AI technologies, including cutting-edge tools like ChatGPT. This comprehensive online course on Udemy equips you with the skills needed to understand, generate, and cl.

Udemy

Artificial Intelligence and Machine Learning: Complete Guide

Artificial Intelligence and Machine Learning: Complete Guide Are you eager to dive into the world of Artificial Intelligence but unsure where to begin? Our comprehensive guide is designed just for you. You will learn everything you need to know in both theory and practical application. Offered by Udemy, this course covers a wide range of catego.

Udemy

Artificial Intelligence & ChatGPT for Cyber Security 2025

Embark on a transformative journey into the realm of Cyber Security and Ethical Hacking by leveraging the power of Artificial Intelligence. This course, offered by Udemy, provides an in-depth understanding of how AI can revolutionize the way we approach cyber threats and defenses. Learn to identify vulnerabilities, mitigate risks, and stay ahe.

Udemy

Intro to AI: A Beginner's Guide to Artificial Intelligence

Welcome to 'Intro to AI: A Beginner's Guide to Artificial Intelligence', a comprehensive course aimed at demystifying the world of AI. This course, available on Udemy, provides learners with foundational knowledge of Artificial Intelligence and insights on how to utilize this powerful technology effectively in business and career contexts. Thi.

Udemy

Artificial Intelligence: Navigating Regulations & Standards

Visit Udemy Embark on a journey through the landscape of artificial intelligence with our course, "Artificial Intelligence: Navigating Regulations & Standards." Dive deep into understanding AI risks and learn about responsible use through a comprehensive overview of essential regulations and standards. Artificial Intelligence Courses Machin.

Udemy

Artificial Intelligence with Machine Learning, Deep Learning

Delve into the world of Artificial Intelligence with our comprehensive course on Machine Learning and Deep Learning using Python. Learn to harness the power of Transfer Learning and frameworks like TensorFlow to take your AI skills to the next level. Perfect for anyone looking to deepen their understanding of Neural Networks and beyond.

Udemy

Artificial Intelligence for Finance, Accounting & Auditing

Explore the Course on Udemy Immerse yourself in the world of artificial intelligence with our comprehensive course designed specifically for professionals in finance, accounting, and auditing. This beginner-level course offers a hands-on approach to learning eight cutting-edge AI techniques without any coding prerequisites. Perfectly tail.

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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:

Voice assistant Alisa. This system, without human help, will always find the answer to any question of interest, turn on music, answer the call and much more.

Selecting relevant advertising in browsers is not an easy process for a person, but it is quick for a computer. The system will analyze the viewing data and select what a particular user will like. The same system is used on various marketplaces - products that a person viewed or purchased are offered.

Chatbots in various dialogues. For example, many banks use bots to solve customer problems. It's convenient and fast.

Data security: Machine learning models can identify data security vulnerabilities before they become breaches. By analyzing past experiences, machine learning models can predict future high-risk actions so that risk can be mitigated proactively.

Finance: Banks, trading brokers and fintech firms use machine learning algorithms to automate trading and provide financial advisory services to investors. Bank of America uses chatbot Erica to automate customer support.

Healthcare: Machine learning is used to analyze massive medical data sets to speed up the discovery of treatments and cures, improve patient outcomes, and automate routine processes to prevent human errors. For example, IBM Watson uses data mining to provide doctors with data they can use to personalize patient care.

Fraud detection: AI is used in the finance and banking sector to autonomously analyze large numbers of transactions to identify fraudulent activities in real time. Technology services company Capgemini says fraud detection systems using machine learning and analytics reduce fraud investigation time by 70% and increase detection accuracy by 90% .

Retail: AI researchers and developers are using machine learning algorithms to develop AI recommendation engines that make relevant product suggestions based on shoppers' past choices, as well as historical, geographic and demographic data.

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:

Basic knowledge of programming languages such as Python, R, Java, JavaScript, etc.

Average knowledge of statistics and probability.

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.

Understanding Calculus.

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!