University certificate
The world's largest faculty of information technology”
Description
A comprehensive program for engineering professionals, which will allow them to compete among the most prepared in the sector"
This high-level program discusses the different types of learning that exist (supervised, unsupervised, etc.) and examines the different algorithms used for each type of learning depending on the objective we have in our data mining process (classification, regression, clustering, etc.).
The last units focus on a particular Machine Learning method; namely, neural networks and their evolution to deep learning and their implementation in real applications.
In view of this situation, this postgraduate certificate in Machine Learning is offered as a comprehensive, educational program, including the most cutting-edge technologies demanded in the business world. Therefore, the combination of subjects makes thispostgraduate certificate a cutting-edge specialization course oriented toward professionals who seek to learn the most up-to-date and ubiquitous technology, or a higher level of knowledge of them.
The main objective is to enable students to apply the knowledge acquired in this course to the real world, in a work environment that reproduces the conditions that may be encountered in the future, in a rigorous and realistic manner.
As it is a 100% online program, students will not have to give up personal or professional obligations. Upon completion of the program, students will have updated their knowledge and will be in possession of an incredibly prestigious qualification that will allow them to advance both personally and professionally.
With the best developed distance learning systems, this postgraduate certificate will allow you to learn in a contextual way, learning the practical skills that you need"
This postgraduate certificate in Machine Learning contains the most complete and up-to-date educational program on the market. The most important features include:
- Practical cases presented by experts in Machine Learning
- The graphic, schematic, and practical contents with which they are created, provide scientific and practical information on the disciplines that are essential for professional practice
- Practical exercises where self-assessment can be used to improve learning
- Its special emphasis on innovative methodologies
- Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments
- Content that is accessible from any fixed or portable device with an Internet connection
Deepen your knowledge in the field of computing and computer structure by including the most advanced aspects of this field of work in your skills"
The program’s teaching staff includes professionals from the sector who contribute their work experience to this program, as well as renowned specialists from leading societies and prestigious universities.
The multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide immersive education programmed to learn in real situations.
This program is designed around Problem-Based Learning, whereby the professional must try to solve the different professional practice situations that arise during the academic year. For this purpose, the student will be assisted by an innovative interactive video system created by renowned and experienced experts.
Comprehensive yet focused; this program will provide you with the specific knowledge IT professionals need to compete among the best in the sector"
An intensive professional growth program that will allow you to intervene in a sector with a growing demand for professionals"
Objectives
The objective of this program is to prepare professionals in Machine Learning , with the necessary knowledge and skills to carry out their activity, using the most advanced protocols and techniques of the moment. Through a totally adaptable work approach, this postgraduate certificate will progressively lead students to acquire the skills that will propel them to a higher professional level. A unique program designed by professionals with extensive experience in the field.
All the subjects and areas of knowledge have been compiled in a complete and up-to-date syllabus, in order to bring students to the highest theoretical and practical level"
General Objectives
- Examine the data mining process
- Understand types of machine learning
- Analyze appropriate machine learning techniques for each type of problem
- Examine the current paradigms of Artificial Intelligence
Specific Objectives
- Evaluate the skills acquired in the process of moving from information to knowledge
- Develop the different types of machine learning
- Analyze the metrics and validation methods of different machine learning algorithms
- Compile the different implementations of the various machine learning methods
- Determine the probabilistic reasoning models
- Examine the potential of deep learning
- Demonstrate knowledge of different machine learning algorithms
In this postgraduate certificate, you will be able to balance the efficiency of the most advanced learning methods with the flexibility of a program created to adapt to your possibilities of dedication, without losing quality"
Postgraduate Certificate in Machine Learning in Business
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Automatic computer learning (AI) is a set of techniques and algorithms used to make computers learn autonomously from data provided to them. Instead of being explicitly programmed to perform a task, computers can ""learn"" to do so from examples, deriving patterns and correlations from large data sets.
In the business context, machine learning can be used to automate tasks and processes, improve efficiency and reduce costs. For example, companies can use machine learning to analyze large amounts of data, find patterns and trends, and make predictions, which can be used to improve inventory management, predict demand, personalize marketing, and improve the quality of customer service.
For machine learning to work in the enterprise, it is necessary to have a robust and well-organized data set. From this data, algorithms will be developed and analyzed by the computer to identify patterns and make predictions. This requires an initial investment of time and resources, as well as the creation of a team of data experts, data scientists and machine learning engineers.
Once patterns have been identified and the necessary algorithms have been developed, companies can implement machine learning solutions into their workflow and operations. However, it is important to continue to monitor system performance and adjust algorithms as needed to ensure the continued accuracy and relevance of machine learning.
Machine learning can be a powerful tool for improving efficiency and reducing costs in the enterprise context. However, its implementation requires a substantial investment of time and resources, as well as a wide range of technical expertise. Ultimately, the success of machine learning in business will depend on its ability to be integrated into existing processes and workflows, as well as its ability to generate accurate and meaningful results.