Machine Learning courses

1770 Courses

Udemy

Master AI & Business Strategy: 100 Lessons For Everyone

Dive into the essential world of AI with "Master AI & Business Strategy: 100 Lessons For Everyone" offered on Udemy. Gain comprehensive insights into machine learning, cybersecurity, neural networks, and more to empower your business strategy. In this course, learners will navigate through the intricacies of machine learning, understand the.

Udemy

AWS Certified AI Practitioner: Exam Prep & AI Foundations

Udemy

Certificate in AI Business Leadership

Certificate in AI Business Leadership | Udemy Unlock the potential of artificial intelligence within your business framework by enrolling in the 'Certificate in AI Business Leadership' course offered by Udemy. This program is meticulously designed to help professionals blend AI technologies into their business strategies, ensuring sustainable.

Udemy

PyTorch for Deep Learning Bootcamp: Zero to Mastery

Elevate your understanding of Deep Learning with the PyTorch for Deep Learning Bootcamp: Zero to Mastery. Offered by Udemy, this comprehensive course is designed for individuals eager to dive into the world of Machine Learning using the powerful PyTorch library developed by Facebook. Gain hands-on experience with practical examples that cover.

Johns Hopkins University

Introduction to Neural Networks

Johns Hopkins University

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.

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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!