Machine Learning courses

1795 Courses

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.

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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.

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AWS Certified AI Practitioner: Exam Prep & AI Foundations

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CompTIA AI Essentials: Fundamentals for Business/Tech + QAs

Welcome to the CompTIA AI Essentials course: Fundamentals for Business and Tech professionals. This comprehensive guide is designed for non-technical professionals who are eager to deepen their understanding of AI concepts, applications, and ethics. Offered by Udemy, this course is perfect for those preparing for the CompTIA AI Essentials Ex.

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AI Professional - ChatGPT & Beyond For Work

Unlock the potential of AI in your professional life with the comprehensive course on "AI Professional - ChatGPT & Beyond For Work." Presented by Udemy, this course offers a detailed approach to mastering powerful AI tools like ChatGPT and Copilot. Perfect for those in Artificial Intelligence, Machine Learning, and Neural Networks sectors, th.

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Cybersecurity Defense with AI and Gen AI

Unlock the potential of artificial intelligence to bolster your cybersecurity measures with our comprehensive course offered by Udemy. Dive deep into how cutting-edge AI and Generative AI techniques can revolutionize your approach to digital security. Explore various aspects like threat detection, incident response, and SIEM to enhance your un.

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Masterclass Testing Machine Learning (AI) Models

Join our Masterclass on Testing Machine Learning (AI) Models to acquire a basic understanding of how to effectively test various AI systems, including Foundation Models, LLMs, and Chatbots. This course, offered by Udemy, will equip you with essential skills in testing AI-based solutions. Categories: Artificial Intelligence Courses Machine.

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Foundations of AWS AI Practitioner: AI & ML in the Cloud

Delve into the foundational aspects of Artificial Intelligence (AI) and Machine Learning (ML) on the AWS Cloud with our expertly designed course. Focused on imparting theoretical knowledge, this program is perfect for those who seek to understand the core concepts without the necessity of practical labs. Offered by Udemy, this course aligns w.

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[NEW] AWS Certified AI Practitioner AIF-C01

Prepare for the AWS Certified AI Practitioner AIF-C01 exam with Jairo Pirona’s comprehensive course. This Udemy course offers a complete overview of all necessary topics, along with a practice exam to ensure you're ready to pass. Gain valuable insights into Artificial Intelligence, Machine Learning, Computer Vision, and Neural Networks, with.

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ChatGPT Python Programming: AI Guided Code Mastery

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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!