Machine Learning courses

1770 Courses

Communicating Insights from Microsoft Azure to the Business

Title: Communicating Insights from Microsoft Azure to the Business Description: Enterprises are constantly seeking ways to gain a competitive advantage by leveraging the vast reserves of big data at their disposal. This comprehensive course equips you with the skills needed to analyze large volumes of data and communicate essential business insight.
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provider Pluralsight
pricing Free Trial Available
duration 2-3 hours
sessions On-Demand

Complete Machine Learning & Data Science with Python| ML A-Z

Title: Complete Machine Learning & Data Science with Python| ML A-Z Description: Master the essentials of machine learning and data science with our comprehensive course on Udemy. Dive into Python essentials like Numpy, Pandas, Matplotlib, and Seaborn, along with advanced topics like Scipy, Supervised & Unsupervised Machine Learning A-Z, and featur.
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provider Udemy
pricing Paid Course
duration 11 hours 14 minutes
sessions On-Demand

Deep Learning with TensorFlow (beginner to expert level)

Deep Learning with TensorFlow (Beginner to Expert Level) Master the fundamentals and advanced techniques of TensorFlow in this comprehensive course provided by Udemy. Dive into key TensorFlow concepts, components, and its pipeline. Enhance your skills in Artificial Neural Networks (ANN), both Classification and Regression, Object Identification, Co.
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provider Udemy
pricing Paid Course
duration 1 day 5 hours 19 minutes
sessions On-Demand

Master statistics & machine learning: intuition, math, code

Event Title: Master Statistics & Machine Learning: Intuition, Math, Code Description: Dive into the complexities of statistics and machine learning in this comprehensive course. Offering a robust blend of theory and practical application, participants will engage in hands-on learning with Python and MATLAB to master concepts from basic to advanced.
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provider Udemy
pricing Paid Course
duration 1 day 14 hours 20 minutes
sessions On-Demand

Introduction to AWS Machine Learning Services

Event Title: Introduction to AWS Machine Learning Services Description: Dive into the world of Amazon Web Services with our course on AWS Machine Ltdarning Services. Discover the expansive capabilities of Amazon's Machine Learning and Artificial Intelligence tools that enhance functionalities across various frameworks, infrastructures, and API-driv.
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provider Pluralsight
pricing Free Trial Available
sessions On-Demand

Machine Learning Interview Questions & Answers

Title: Machine Learning Interview Questions & Answers Description: Explore the most frequently asked questions in Machine Learning Engineer job interviews, complete with detailed answers, to elevate your chances of becoming a leading Data Scientist or ML Engineer. Provider: Udemy Categories: Machine Learning Courses, Mathematics Courses
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provider Udemy
pricing Paid Course
duration 3 hours 25 minutes
sessions On-Demand

Data Science Interview Questions & Answers

Get ready to ace your Data Scientist and Machine Jearning Engineer interviews with Udemy's comprehensive course: Data Science Interview Questions & Answers. This course covers the most commonly asked interview questions and provides detailed answers to ensure your preparation is solid. Dive into key categories like Machine Learning Courses, Dat.
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provider Udemy
pricing Paid Course
duration 2 hours 38 minutes
sessions On-Demand

Decision Trees, Random Forests, AdaBoost & XGBoost in Python

Decision Trees, Random Forests, AdaBoost & XGBoost in Python Delve into the world of Decision Trees and ensemble learning methods with this comprehensive course on Udemy. Master the application of Bagging, Random Forest, Gradient Boosting Machines (GBM), AdaBoost, and XGBoost techniques using Python. Perfect for those interested in Python Courses,.
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provider Udemy
pricing Paid Course
duration 7 hours
sessions On-Demand

Data Science for Business Leaders: ML Fundamentals

Data Science for Business Leaders: ML Fundamentals - Join this enriching Udemy course specifically tailored for business leaders interested in harnessing the power of machine learning and AI. This no-code introduction empowers you to understand and leverage AI and machine learning as key business capabilities. Enhance your strategies with knowledge.
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provider Udemy
pricing Paid Course
duration 9 hours
sessions On-Demand

AWS Data Architect Bootcamp - 43 Services 500 FAQs 20+ Tools

Event Title: AWS Data Architect Bootcamp - 43 Services 500 FAQs 20+ Tools Description: Dive deep into AWS technologies with our comprehensive AWS Data Architect Bootcamp. This course includes detailed modules on AWS Databases, EMR, SageMaker, IoT, Redshift, Glue, QuickSight, RDS, Aurora, DynamoDB, Kinesis, Rekognition, and many more essential servi.
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provider Udemy
pricing Paid Course
duration 30 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!