Machine Learning courses

1589 Courses

Udemy

A CEO's Generative AI Playbook

Discover the essential playbook for CEOs looking to integrate Generative AI into their business strategy. Offered by Udemy, this course offers a comprehensive guide to mastering the use of AI in a strategic context. You'll learn about Generative AI, Retrieval Augmented Generation (RAG), AI agents, and the integration of these advanced technolog.

Udemy

Mastering AI on AWS: Training AWS Certified AI-Practitioner

Embark on a transformative journey with Udemy's "Mastering AI on AWS: Training AWS Certified AI-Practitioner." This course meticulously covers the development of AI and Machine Learning solutions using a range of AWS services, offering a deep dive from basic principles to achieving certification success. Leverage this opportunity to enhance you.

Udemy

Harnessing AI and Machine Learning for Geospatial Analysis

Explore the fascinating world of artificial intelligence and machine learning as applied to geospatial analysis through our expertly crafted course. Enhance your skills in AI, deep learning, and machine learning techniques tailored for geospatial data. Offered by Udemy, this course dives deep into the intersection of these cutting-edge technol.

Udemy

Snowflake Cortex Masterclass Hands-On

Elevate your Snowflake skills with the "Snowflake Cortex Masterclass Hands-On" designed specifically for intermediate learners. Guided by a world-renowned Snowflake expert, this course is available on Udemy, a trusted platform for online learning. Explore an in-depth curriculum covering essential topics in: Artificial Intelligence Pytho.

Udemy

Malware Forensics v5:AI &ChatGPT Mastery in Malware Analysis

Udemy

Intro to Generative AI for Business Professionals

Udemy Delve into the world of Generative AI with our comprehensive course specifically tailored for business professionals. Learn how to harness AI technologies to drive innovation and streamline your business operations. This practical guide covers essential AI concepts and tools, including: Generative Adversarial Networks (GAN) Variat.

Coursera

GenAI for Personalized Marketing at Scale

Join the comprehensive course on "GenAI for Personalized Marketing at Scale" to elevate your marketing strategies using advanced Generative AI technologies. Learn how to create customized content tailored for various customer segments across multiple platforms, including social media and websites. This course suits marketing professionals,.

Coursera

GenAI for Financial Forecasting and Planning

Join our course designed to empower financial professionals with the transformative capabilities of Generative AI in forecasting and planning. Discover how AI-driven tools can streamline processes, enhance accuracy, and optimize strategic decision-making. By completing this course, you'll be able to automate financial predictions and validate.

Indian Institute of Technology Guwahati

Applied AI for Engineers and Scientists: Foundations

More details of this specialization can be found in this video.

Udemy

7 Days of Hands-On AI Development Bootcamp and Certification

Embark on a transformative journey with the 7 Days of Hands-On AI Development Bootcamp and Certification. Designed for beginners, this immersive program guides you through the fundamentals of building and deploying AI projects. Hosted by Udemy, this bootcamp is your gateway to mastering pivotal technologies in the AI domain. Throughout the we.

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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!