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Machine Learning courses

1003 Courses

California Institute of Technology Udemy

Python for Beginners: The Complete Python Masterclass

Python for Beginners: The Complete Python Masterclass - Unlock your coding potential with this comprehensive online course offered by Udemy. Dive deep into core Python skills essential for data science, machine learning, and more. This beginner-friendly program is enhanced with practical examples and exercises, providing a robust learning experienc.
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provider Udemy
pricing Paid Course
duration 7 hours 16 minutes
sessions On-Demand
California Institute of Technology Udemy

Data Science : Master Machine Learning Without Coding

Data Science: Master Machine Learning Without Coding Discover the core concepts of data science and machine learning without the need to code with this engaging course provided by Udemy. Utilizing the powerful RapidMiner software, this course is perfect for beginners and seasoned professionals looking to enhance their skills. Course materials, in.
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provider Udemy
pricing Paid Course
duration 2-3 hours
sessions On-Demand
California Institute of Technology Udemy

Machine Learning with Python : COMPLETE COURSE FOR BEGINNERS

Machine Learning with Python: Complete Course for Beginners Embark on your journey to mastering machine learning with our comprehensive beginner course, exclusively on Udemy. This course is meticulously designed for beginners to cover all fundamentals of Python, focusing variously on essential topics such as supervised and unsupervised learning, st.
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provider Udemy
pricing Paid Course
duration 13 hours 13 minutes
sessions On-Demand
California Institute of Technology Udemy

Algorithmic Trading with Python: Machine Learning strategies

Title: Algorithmic Trading with Python: Machine Learning Strategies Description: Explore the impact of Artificial Intelligence and Machine Learning in Algorithmic Trading. This course includes practical training using MetaTrader 5 bots. Offered by Udemy, this course is ideal for those looking to dive into the application of Python in Machine Learni.
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provider Udemy
pricing Paid Course
duration 5 hours
sessions On-Demand
California Institute of Technology Udemy

Decision Trees, Random Forests, Bagging & XGBoost: R Studio

Title: Decision Trees, Random Forests, Bagging & XGBoost: R Studio Description: Explore the world of Decision Trees along with advanced Ensembling techniques using R Studio. Master skills in Bagging, Random Forest, Gradient Boosting Machine (GBM), AdaBoost, and XGBoost with this comprehensive course provided by Udemy. University: Not applicable.
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provider Udemy
pricing Paid Course
duration 6 hours
sessions On-Demand
California Institute of Technology Udemy

Optimization problems and algorithms

Event Title: Optimization Problems and Algorithms Join our comprehensive course on Udemy to master the art of solving optimization problems using heuristic algorithms within the MATLAB environment. This course is designed for both beginners and experienced programmers who want to deepen their understanding of optimization techniques and their appli.
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provider Udemy
pricing Paid Course
duration 8 hours
sessions On-Demand
California Institute of Technology Udemy

Data Science Real-World Case Studies - Hands On Python

Title: Data Science Real-World Case Studies - Hands-On Python Description: Explore real-world projects in artificial intelligence, machine learning, natural language processing, and time series analysis. This comprehensive course offered by Udemy equips you to build practical data science skills and prepare for careers as a Data Scientist or Machin.
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provider Udemy
pricing Paid Course
duration 10 hours 21 minutes
sessions On-Demand
California Institute of Technology Udemy

Machine Learning - Regression and Classification (math Inc.)

Title: Machine Learning - Regression and Classification (Math Inc.) Description: Dive into the realms of machine learning from beginner to advanced levels with our comprehensive guide. This course, offered on Udemy, focuses on practical learning integrated with detailed mathematical theories. Perfect for those eager to master both regression and cl.
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provider Udemy
pricing Paid Course
duration 17 hours
sessions On-Demand
California Institute of Technology Udemy

Machine Learning Classification Bootcamp in Python

Join the Machine Learning Classification Bootcamp in Python, offered by Udemy. This comprehensive course is designed to advance your skills in machine learning through hands-on learning and practical projects. Engage in 10 practical projects that cover key concepts and algorithms in Python and Scikit Learn, perfect for enhancing your expertise in f.
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provider Udemy
pricing Paid Course
duration 12 hours
sessions On-Demand
California Institute of Technology Udemy

Advanced analysis of outliers in R and Matlab

Join our comprehensive course, Advanced Analysis of Outliers in R and Matlab, presented by Udemy. This training is essential for individuals eager to master robust data analysis techniques pivotal in fields like Data Mining, Statistics, and Machine Learning. Enhance your skills in some of the most powerful analytical tools used in Artificial Intell.
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provider Udemy
pricing Paid Course
duration 9 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!