Machine Learning courses

1656 Courses

Udemy

Amazon Bedrock Masterclass: The Ultimate Generative AI Guide

Unlock the secrets of Generative Artificial Intelligence with the newly updated Amazon Bedrock Masterclass. Dive into the comprehensive guide that now includes the advanced Claude 3.5 Sonnet v2. Whether you're starting from the basics or looking to refine your skills, this course provides a robust learning experience on AWS. Offered by Udemy,.

Udemy

AWS SageMaker Machine Learning Engineer in 30 Days + ChatGPT

Embark on an intensive learning journey with the "AWS SageMaker Machine Learning Engineer in 30 Days + ChatGPT" course offered by Udemy. This course is meticulously designed for those who wish to deepen their expertise in machine learning using AWS platforms. Tackle over 30 machine learning projects, propelling your skills to new heights withi.

Udemy

Machine Learning Essentials - Master core ML concepts

Explore Udemy's comprehensive course to embark on your Machine Learning journey. Master the fundamental mathematics behind key algorithms and gain hands-on experience by implementing them in Python. Course Highlights: Introduction to essential Machine Learning concepts Dive deep into mathematical foundations for robust understanding Hand.

Udemy

AI-900 Course Azure AI Fundamentals with Virtual Simulations

Udemy

End-to-End Machine Learning: From Idea to Implementation

Unlock the potential of artificial intelligence with our course, "End-to-End Machine Learning: From Idea to Implementation." Designed for both beginners and experts, this Udemy course offers a practical approach to building, managing, and deploying machine learning projects through the power of Python and MLOps. Explore the seamless integrati.

Udemy

Math for Data science,Data analysis and Machine Learning

Enhance your understanding of mathematics crucial for thriving fields like Data Science, Data Analysis, Machine Learning, and Artificial Intelligence. This expertly designed course on Udemy provides the essential mathematical knowledge needed to excel in these innovative domains. Delve into a wide variety of mathematical topics, including:.

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.

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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!