Machine Learning courses

1656 Courses

Introduction to Neural Networks

Practical Methodology and Ethics in AI

Discover the comprehensive course "Practical Methodologies and Ethics in AI" offered by Johns Hopkins University on Coursera. This program is designed to furnish you with vital skills to develop, evaluate, and deploy deep learning models, while thoroughly exploring ethical considerations in AI. Engage in hands-on projects and case studies to.

Udemy

Fundamentals of Financial Automation

Fundamentals of Financial Automation - Udemy Discover the essential elements of automating financial processes in the Fundamentals of Financial Automation course on Udemy. This course will provide you with insights and techniques to effectively streamline financial tasks using diverse technological solutions. Whether you're.

Udemy

GenAI & Cybersecurity: Learn OpenAI Text Embedding

Delve into the revolutionary synergy of artificial intelligence and cybersecurity with our comprehensive course, "GenAI & Cybersecurity: Learn OpenAI Text Embedding." This course is designed to take you from the foundational understanding to mastering advanced threat detection techniques. Offered by Udemy, this curriculum covers a breadth o.

Udemy

The Ultimate Beginners Guide to Python Virtual Assistants

Provider: Udemy Embark on a journey to create your own Python-powered virtual assistant. This comprehensive guide is tailored for beginners eager to delve into the world of speech recognition and voice synthesis. Enhance your skills with practical, step-by-step instructions. Categories: Python Courses, Machine Learning Courses, TensorFlow Cours.

Udemy

ChatGPT for Data Science and Machine Learning

Discover how to effectively utilize ChatGPT to boost your Data Science and Machine Learning workflows in this comprehensive course offered by Udemy. Perfect for students and professionals aiming to fortify their expertise in Data Analysis, AI, and more. Enroll now to explore cutting-edge techniques in Python and unravel the power of data visu.

Udemy

Microsoft Applied Skills: Build an Azure AI Vision solution

Unlock the power of Azure AI Vision with our comprehensive course, Microsoft Applied Skills: Build an Azure AI Vision Solution, available exclusively on Udemy. This course, coded APL-3004, is your gateway to mastering image analysis by learning how to analyze images and develop custom image analysis models effectively. Perfect for those int.

Udemy

Zero to Hero in Ollama: Create Local LLM Applications

Embark on your journey from Zero to Hero in Ollama by mastering the art of creating local LLM applications. This comprehensive course on Udemy equips you with the skills to run customized Large Language Models (LLM) securely on your system. Dive into a learning experience that mimics a ChatGPT-like interface and guides you through building p.

Udemy

Introduction to Financial Modeling with Gen AI

Join the "Introduction to Financial Modeling with Gen AI" course on Udemy and embark on a journey to master the art of financial modeling using cutting-edge generative AI tools like ChatGPT. This course offers a deep dive into the essential aspects of financial analysis, covering everything from researching financial data to building complex mo.

Udemy

ChatGPT for Data Analysis in Python from A-Z

Discover how to analyze and visualize data effectively in Python with the help of ChatGPT. This complete guide walks you through all essential aspects, offering a detailed and comprehensive learning experience from A-Z. Perfect for enthusiasts and professionals aiming to boost their data analysis skills. Offered by Udemy, this course provides a.

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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!