Machine Learning courses

1334 Courses

XuetangX

Principles and Practice of Artificial Intelligence

In July 2017, China's State Council unveiled the "New Generation Artificial Intelligence Development Plan," a pivotal move that positioned AI advancement as a national strategic focus. As AI drives high-quality development, it reshapes the concept of new productive forces and stands as a measure of a nation's technological innovation and prowess in.

XuetangX

Introduction to Artificial Intelligence

Gain a comprehensive understanding of artificial intelligence with our extensive course, incorporating knowledge from diverse fields such as philosophy, brain science, mathematics, and computing. This program delves into various AI types, including perceptual, cognitive, language, and behavioral intelligence. Discover fundamental concepts and st.

Udemy

The Complete Artificial Intelligence and ChatGPT Course

Embark on a transformative journey with "The Complete Artificial Intelligence and ChatGPT Course" offered by Udemy. This course is designed to provide an extensive understanding of artificial intelligence, featuring diverse elements such as ChatGPT and its alternatives—Google Bard and Bing Chat. Participants will gain insights into th.

Udemy

Artificial Intelligence & Machine Learning for Business

Unlock the potential of Artificial Intelligence and Machine Learning in your business with our top-notch course designed specifically for CxOs, managers, team leaders, and entrepreneurs. Enhance your skills in AI and ML, and integrate innovative business strategies to propel your organization forward. Taught by industry experts and hosted.

Udemy

Artificial Intelligence Risk and Cyber Security Course

Unlock the full potential of Artificial Intelligence and Machine Learning by understanding how to effectively govern and secure these advanced technologies. This essential course, available on Udemy, delves into the intricacies of AI and cybersecurity, offering you the tools to manage risks and enhance AI governance. This is an ideal oppor.

Udemy

Algorithmic Trading with Python: Machine Learning strategies

Algorithmic Trading with Python: Machine Learning Strategies - Udemy Course Discover the power of algorithmic trading with our comprehensive course on 'Algorithmic Trading with Python: Machine Learning Strategies'. This course is designed to equip you with advanced skills in Artificial Intelligence and Machine Learning tailored for the trading la.

Udemy

Machine Learning Interview Questions & Answers

Udemy Equip yourself with the essential Machine Learning interview questions and answers, designed to help you become a leading Data Scientist or ML Engineer. This course on Udemy offers comprehensive insights into the topics most frequently covered in job interviews. Enhance your understanding and prepare effectively with this expertly curat.

Udemy

Data Science Interview Questions & Answers

Enhance your preparation for Data Scientist and Machine Learning Engineer interviews with Udemy's comprehensive course on frequently asked interview questions. University: Available on Udemy Course Categories: Machine Learning Courses Data Science Courses Linear Regression Courses Confusion Matrix Courses Logistic Regression Course.

Udemy

(MEVN Stack) build a PWA & Machine Learning E-Commerce APP

Udemy Unleash the power of the MEVN stack to create a Progressive Web App with integrated Machine Learning algorithms. This comprehensive course teaches you how to build a shopping cart application using cutting-edge technologies like Vue.js, Vuex, Node.js, Express, MongoDB, and Brain.js. Gain hands-on experience with both unit and integration.

Udemy

Kaggle: Veri Bilimi ve Makine Öğrenimi Topluluğu

Kaggle: Veri Bilimi ve Makine Öğrenimi Topluluğu Veri bilimi ve makine öğreniminde derinlemesine bilgi sahibi olmak isteyenler için Kaggle, mükemmel bir başlangıç noktası. Python ve R gibi güçlü programlama dilleriyle gerçek dünyadaki problemleri çözerek veri bilimi alanında uzmanlaşabilirsiniz. Kaggle, size bu alanda kapsamlı bir bilgi biriki.

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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!