Machine Learning courses

1335 Courses

A Course in Innovations of Digital Banking - a global view.

Title: A Course in Innovations of Digital Banking - A Global View Description: Dive into the 2023 basic level overview of digital banking innovations in this comprehensive Udemy course. Explore cutting-edge technologies including AI-ML (Artificial Intelligence and Machine Learning), Blockchain, Big Data Analytics, IoT (Internet of Things), Open Ban.
course image
provider Udemy
pricing Paid Course
duration 3-4 hours
sessions On-Demand

Logistic Regression in Python

Title: Logistic Regression in Python Description: Dive into the basics of logistic regression in Python with our comprehensive beginner tutorial. This course, provided by Udemy, equips you with the essential skills needed for predictive modeling using Python. Perfect for newcomers looking to excel in Python, statistics, probability, and machine lea.
course image
provider Udemy
pricing Paid Course
duration 7 hours 39 minutes
sessions On-Demand

Mathematical Foundation For Machine Learning and AI

Title: Mathematical Foundation For Machine Learning and AI Description: Dive into the essential mathematical concepts crucial for machine learning and AI, and master their implementation in R and Python. This enrich and expand your skills through this comprehensive course provided by Udemy, tailored for both beginners and experienced programmers. U.
course image
provider Udemy
pricing Paid Course
duration 4-5 hours
sessions On-Demand

Machine Learning Terminology & Process For Beginners

Event Title: Machine Learning Terminology & Process For Beginners Description: Embark on your journey into the world of machine learning with our introductory course, "Machine Learning Terminology & Process For Beginners". This course provides a thorough foundation in machine learning concepts and processes, enhanced by hands-on labs. Participants.
course image
provider Udemy
pricing Paid Course
duration 3-4 hours
sessions On-Demand

Machine Learning | Deep Learning | Explainable AI | Vertex

Title: Machine Learning | Deep Learning | Explainable AI | Vertex AI Description: This comprehensive course, available on Udemy, encompasses both foundational and advanced topics tailored for practitioners in the field. Explore key areas such as Machine Learning, Deep Learning, Unsupervised Learning, Linear Regression, and how to leverage Google Cl.
course image
provider Udemy
pricing Paid Course
duration 8 hours 32 minutes
sessions On-Demand

The Ultimate App Making Course! Master Many Coding Skills!

Join "The Ultimate App Making Course! Master Many Coding Skills!" on Udemy and elevate your coding expertise to new heights. Delve into a comprehensive learning journey covering a wide array of essential programming languages and frameworks such as Keras, Python, TensorFlow, React, Redux, and many others. Designed for developers of all skill levels.
course image
provider Udemy
pricing Paid Course
duration 4 days 14 hours 52 minutes
sessions On-Demand

Machine Learning & Deep Learning in Python & R

Machine Learning & Deep Learning in Python & R Delve into the realms of Machine Learning and Deep Learning with this comprehensive course provided by Udemy. Master essential techniques such as Regression, Decision Trees, Support Vector Machines (SVM), Neural Networks, Convolutional Neural Networks (CNN), and Time Series Forecasting using both Pytho.
course image
provider Udemy
pricing Paid Course
duration 1 day 9 hours 12 minutes
sessions On-Demand

ML for Business Managers: Build Regression model in R Studio

ML for Business Managers: Build Regression Model in R Studio Unlock your potential in Machine Learning and Econometrics with our comprehensive course titled 'ML for Business Managers: Build Regression Model in R Studio'. This course, brought to you by Udemy, focuses on both Simple and Multiple Regression techniques essential for predictive analytic.
course image
provider Udemy
pricing Paid Course
duration 6 hours 22 minutes
sessions On-Demand

Linear Regression and Logistic Regression using R Studio

Linear Regression and Logistic Regression using R Studio Embark on a journey into the essentials of Linear Regression and Logistic Regression through our comprehensive course designed for beginners. Offered through Udemy, this course aims to clarify the distinctions between Regression and Classification techniques. Covering a broad spectrum of to.
course image
provider Udemy
pricing Paid Course
duration 6 hours 13 minutes
sessions On-Demand

Complete Machine Learning with R Studio - ML for 2024

Title: Complete Machine Learning with R Studio - ML for 2024 Description: Master machine learning using R Studio with our comprehensive course. Dive into key ML methods including Linear and Logistic Regression, Decision Trees, XGBoost, SVM, and various other ML models. Perfect for those proficient in the R programming language, this course offers a.
course image
provider Udemy
pricing Paid Course
duration 12 hours
sessions On-Demand

More and more products are now being developed using artificial intelligence. To avoid being left on the sidelines of progress, managers must understand how the robot’s “brains” work

Artificial intelligence (AI) and machine learning technologies have been used for many years, but now the intensity of their use has increased significantly. For example, machine learning is being actively implemented in telecommunications, retail, marketing and e-commerce. But many still do not fully understand what it is.

Machine learning involves the system processing a large number of examples, during which it identifies patterns and uses them to predict the characteristics of new data. In other words, this is the process of giving AI ml courses “consciousness”, the ability to remember and analyze.

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:

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:

  1. Basic knowledge of programming languages such as Python, R, Java, JavaScript, etc.

  2. Average knowledge of statistics and probability.

  3. 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.

  4. Understanding Calculus.

  5. 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!