Machine Learning courses

1770 Courses

Udemy

Data Science & Machine Learning: Naive Bayes in Python

Join the "Data Science & Machine Learning: Naive Bayes in Python" course on Udemy and elevate your understanding of a fundamental AI algorithm. This course is designed to significantly boost your Python programming prowess. This comprehensive program covers the Naive Bayes algorithm, a key technique in data classification and probability theo.

Udemy

5-in-1 Mega Course: Python, Javascript, React JS, CSS, AI

Embark on a transformative learning journey with the 5-in-1 Mega Course: Python, Javascript, React JS, CSS, and AI, offered by Udemy. This all-encompassing course equips you with essential web development skills while guiding you to create your own AI Assistant. Dive deep into Python, leverage machine learning, and harness the power of ChatGPT.

Udemy

Streamlit for Snowflake Masterclass Hands-On

Embark on an educational journey with the 'Streamlit for Snowflake Masterclass Hands-On,' taught by a world-renowned expert in Snowflake technology. This comprehensive course is available through Udemy, offering invaluable insights into a wide range of crucial subjects. Categorized under Python, Machine Learning, Data Analysis, ChatGPT, Data Vis.

Udemy

Data Analytics & Data Science for Executives

Enroll now in Data Analytics for Executives to unlock the transformative power of data. Elevate your leadership skills by understanding how to leverage data science, machine learning, and big data technologies for strategic business outcomes. Suitable for executives and business leaders, this comprehensive course provides in-depth knowledge in d.

Udemy

Machine Learning for Data Analysis: Classification Modeling

Embark on an exciting journey into the world of Machine Learning tailored for data analysis using the power of Excel. This course is designed for those who want to delve into classification modeling to enhance their business intelligence capabilities without needing coding experience. Offered by Udemy, this comprehensive course covers key a.

Udemy

Machine Learning & Data Science: The Complete Visual Guide

Visit Course on Udemy Delve into the world of machine learning and data science with our comprehensive visual guide. This course offers an easy-to-follow approach with straightforward demos and Excel models, ensuring a complete understanding without the need for programming skills. Ideal for beginners and those seeking a practical, visual lear.

Udemy

End to End Data Science Practicum with Knime

Embark on an informative journey into the world of data science with our "End to End Data Science Practicum with Knime" offered by Udemy. This course empowers you to master key data science concepts and techniques using Knime, supported by practical hands-on examples. Whether your interest lies in data visualization, regression analysis, clust.

Udemy

Microsoft Fabric - The Complete Guide

Explore the in-depth journey to mastering Microsoft Fabric through this all-inclusive guide designed to take you from foundational concepts to advanced expertise. Offered to you by Udemy, this course provides a thorough understanding of Microsoft Fabric, integrating critical insights into data science, machine learning, data warehousing, dat.

Udemy

Machine Learning for Data Analysis: Unsupervised Learning

Unlock the power of Machine Learning for Data Analysis with a focus on Unsupervised Learning. This course is designed to bring complex concepts into the realm of simplicity using Excel. Dive into sophisticated topics that enhance your data analysis and business intelligence capabilities. Brought to you by Udemy, this course belongs to a robust.

Udemy

Machine Learning for Interviews & Research and DL basics

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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!