Machine Learning courses

1335 Courses

LinkedIn Learning

Generative AI and Predictive AI in the Cloud: Foundational Concepts and Scenarios

Generative AI and Predictive AI in the Cloud: Foundational Concepts and Scenarios Discover this easy-to-understand course for beginners that teaches the fundamentals of generative AI and predictive AI, as well as how they can relate to cloud computing. Provider: LinkedIn Learning Categories: Artificial Intelligence Courses, Machine Learning C.

LinkedIn Learning

Using Microsoft SharePoint Syntex for AI Document Management

Using Microsoft SharePoint Syntex for AI Document Management Learn how to build an AI-driven document recognition system using Microsoft SharePoint Syntex. This course is offered by LinkedIn Learning and categorized under Artificial Intelligence Courses, Machine Learning Courses, Microsoft 365 Courses, Data Extraction Courses, and Docume.

LinkedIn Learning

Inside the Mind of an Aspiring Data Scientist

Inside the Mind of an Aspiring Data Scientist Embark on a journey to understand the world of data science with our comprehensive guide. Whether you're just starting out or looking to enhance your skill set, this course offers valuable insights into becoming a data scientist. Explore the potential of a data science career path and find out what c.

LinkedIn Learning

Becoming an AI-First Product Leader

Becoming an AI-First Product Leader | LinkedIn Learning University: Provider: LinkedIn Learning Become a successful product leader by adopting an AI-first mindset. Learn the product fundamentals of operating, managing, and leading AI-driven products. Categories: Artificial Intelligence Courses, Machine Learning Courses, Data Sci.

LinkedIn Learning

Introducing Robotic Process Automation

Introducing Robotic Process Automation Join us in exploring the essentials of Robotic Process Automation (RPA). This course will delve into the key benefits and best practices for implementing RPA in your organization. Provider: LinkedIn Learning Categories: Artificial Intelligence Courses Machine Learning Courses Digital Transformati.

LinkedIn Learning

Introduction to Generative Adversarial Networks (GANs)

Introduction to Generative Adversarial Networks (GANs) Gain a better understanding of Generative Adversarial Networks (GANs). Learn how GANs are created, trained, and their capability to generate new media. This course is offered by LinkedIn Learning through the university platform. Categories: Arti.

LinkedIn Learning

AI Fundamentals for Data Professionals

AI Fundamentals for Data Professionals | LinkedIn Learning Discover the fundamental skills, tools, and concepts of AI in this course designed for data professionals. Gain expertise in the core areas of Artificial Intelligence, including Machine Learning, Reinforcement Learning, Deep Learning, Supervised Learning, Unsupervised Learni.

LinkedIn Learning

Generative AI Imaging: What Creative Pros Need to Know

Generative AI Imaging: What Creative Pros Need to Know Explore the world of generative AI imaging and discover the essential tools and knowledge creative professionals need to thrive in this evolving field. This course, provided by LinkedIn Learning, covers a wide range of topics from Artificial Intelligence and Machine Learning to Digital Art,.

Udemy

Learn to Build Custom GPT: The Complete Guide to Custom GPTs

Learn to Build Custom GPT: The Complete Guide to Custom GPTs Course Provider: Udemy Categories: Artificial Intelligence Courses, Machine Learning Courses, Generative AI Courses, ChatGPT Courses, Zapier Courses Unlock the potential of Custom GPTs with our comprehensive guide on Udemy. In this course, you will master the art of GPT customization.

Udemy

Data Science Career Path

Data Science Career Path Elevate your career by mastering the art of Data Science with Udemy’s specialized courses. Dive deep into tackling Big Data challenges and unlock the potential of data-driven decision making. Our comprehensive syllabus spans across: Artificial Intelligence Courses Python Courses Machine Learning.

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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!