Machine Learning courses

1656 Courses

Udemy

ChatGPT for Data Science and Machine Learning

Welcome to "ChatGPT for Data Science and Machine Learning" - a comprehensive course available on Udemy. Ideal for both beginners and advanced users, this course delves into various ChatGPT applications in the fields of data science and machine learning. In this course, you will explore: Hypothesis Testing: Learn how to leverage ChatGPT for t.

Udemy

Mastering Ollama: Build Private Local LLM Apps with Python

Unlock the potential of Ollama's large language models by learning to build private local apps using Python. This course offers a practical approach, allowing you to run custom Ollama LLMs directly on your system with an intuitive ChatGPT-like user interface. Experience hands-on projects that require no cloud infrastructure or additional cos.

Udemy

Master Vertex AI: Leveraging LLMs with Text-Embeddings API

Unlock the potential of Google Cloud Vertex AI with our comprehensive course on leveraging LLMs and the Text-Embeddings API. This course is designed to help you build sophisticated AI solutions that can generate insightful data-driven results. Join forces with industry leaders on Udemy and dive into the world of advanced AI technologies. Enh.

Udemy

Malware Forensics Mastery v3: AI Advanced Predict & Analysis

Embark on a transformative journey into malware analysis with our esteemed course, "Malware Forensics Mastery v3: AI Advanced Predict & Analysis." Offered through Udemy, this course empowers you with the cutting-edge techniques in artificial intelligence and ChatGPT to effectively decipher and counteract advanced malware threats. As.

Udemy

AI-Driven Market Analysis & Prediction

Udemy

Generative AI for .NET Developers with Azure AI Services

Unleash the potential of modern technology by learning to create intelligent .NET applications using the formidable capabilities of generative AI. This Udemy course, "Generative AI for .NET Developers with Azure AI Services," offers an in-depth exploration into integrating AI modules into your projects. Dive into machine learning, neural netw.

Udemy

LLM - Fine tune with custom data

Unlock the potential of GPT 3.5 Turbo models by learning how to fine-tune them with your own data using state-of-the-art platforms like OpenAI and Gradient. This comprehensive course on Udemy is perfect for those eager to dive into the intricacies of machine learning and enhance their skills in model training. Whether it's data prepar.

Udemy

Python in 3 Hours! [+ Machine Learning & Deep Learning]

Join our intensive course and switch to Python in just three hours! Dive into the fundamentals of Machine Learning and embark on your journey by developing Deep Learning models using TensorFlow. This streamlined curriculum is perfect for beginners and those looking to upskill quickly. Learn and apply essential tools like Matplotlib, NumPy,.

CourseHorse

Introduction To Programming for Citizen Developers (Live Online)

Welcome to our comprehensive 1-day course on the Introduction to Programming for Citizen Developers! Tailored for non-technical professionals, this class lays a solid foundation in programming concepts and skills. Discover how programming can be a powerful tool to enhance your problem-solving skills and automate daily tasks, even if you're a c.

CourseHorse

Artificial Intelligence (AI) Business Essentials Certificate Program (Live Online)

Discover the significant influence of Artificial Intelligence (AI) on business and how it parallels historic innovations such as electricity. This live online program will deepen your understanding of AI technology, its current applications in your business, and the vast opportunities it brings for professional and societal impact. Upon completi.

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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!