Machine Learning courses

1775 Courses

edX

Fundamentos de Inteligencia Artificial

El mundo de la Inteligencia Artificial (IA) ya no es ciencia ficción. La IA está penetrando rápidamente todas las industrias e impactando cada aspecto de nuestra vida diaria. Desarrollar una comprensión fundamental de la IA es crítico y transformará tu carrera profesional. Este programa está diseñado para quienes tienen poca o ninguna experienci.

Harvard University

Learning Python for Data Science

Data science is an ever-evolving field, driven by advances in technologies and algorithms. To excel in this domain, staying updated with cutting-edge programming languages like Python is essential. This Professional Certificate in Learning Python for Data Science from Harvard University comprises three courses emphasizing hands-on practice. Dev.

AWS Skill Builder

AWS Flash - AWS AI/ML Essentials

New York University (NYU)

Foundations of Digital Marketing

Embark on a transformative journey with the Foundations of Digital Marketing Specialization, designed to equip you with the essential skills and knowledge needed to excel in the digital marketing landscape. This comprehensive program covers key topics such as: Fundamentals of Digital Marketing: Learn the core principles and strategies. Di.

Udemy

Applied Generative AI: Mastering Fundamentals to Expertise

Delve into the world of generative AI with Udemy's course, "Applied Generative AI: Mastering Fundamentals to Expertise." This program offers an in-depth understanding of the latest AI technologies, such as GPT-4, Chatgpt, Vision, MidJourney, Murf, LeonardoAI, MusicLM, and AutoGPT. Designed for those aspiring to excel in this innovative field,.

Udemy

SAT Certified Practitioner Exam Prep

Prepare to succeed on your first attempt with the SAT Certified Practitioner Exam Prep, brought to you by Udemy. This course is expertly designed to guide you through the intricacies of the SAT certification, equipping you with the knowledge and skills you need in this rapidly evolving field. Dive deep into essential disciplines such as Arti.

Udemy

AI for Everyone: Understanding and Applying the Basics

Embark on your AI adventure with our engaging course, 'AI for Everyone: Understanding and Applying the Basics.' This course offers a unique opportunity to dive into the world of Artificial Intelligence without requiring a tech background. Designed for beginners, this comprehensive course covers essential aspects of AI, including Machine Learni.

Udemy

Philosophy and Foundations of Artificial Intelligence (AI)

Join our comprehensive course on the Philosophy and Foundations of AI, brought to you by Udemy. Explore the ethical, logical, and conceptual elements that form the bedrock of artificial intelligence technologies. Gain insights into how these innovations impact society and shape the future. Dive into topics such as algorithmic bias, consciousn.

Udemy

Artificial Intelligence in Health Care

Join us to explore the transformative impact of Artificial Intelligence in the healthcare industry. This course, offered by Udemy, delves into the cutting-edge integration of AI technologies in medicine. You'll gain insights into key areas such as Machine Learning, Predictive Analytics, Data Analytics, and Telemedicine. Discover how these adv.

Udemy

AI Agents for Everyone and Artificial Intelligence Bootcamp

Immerse yourself in the world of AI with the comprehensive AI Agents for Everyone and Artificial Intelligence Bootcamp. Offered by Udemy, this course empowers you to build and deploy AI agents through practical, hands-on projects. Gain essential skills and understanding in deploying cutting-edge AI technologies in real-world scenarios. This b.

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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!