Thanks to this Relearning-based postgraduate certificate, you will use the most innovative techniques of Machine Learning and Data Mining to solve real-world problems" 

postgraduate certificate are two areas in constant growth, with a high demand in various industries. The scientific community frequently conducts research that leads to new techniques or tools to optimize intelligent algorithms. This enables advances in areas such as healthcare, where these mechanisms are used for the interpretation of medical images, early detection of pathologies and personalization of therapeutic treatments. In this sense, Artificial Intelligence professionals require constant updating of their knowledge in order to provide the best services to their clients. At the same time, they need to obtain practical skills for the correct data processing and model evaluation.   

In this context, TECH implements a postgraduate certificate in Machine Learning and Data Mining for specialists who want to expand their career horizons. Designed by subject matter experts, the curriculum will delve into issues ranging from knowledge discovery processes to data preprocessing. This will equip students with advanced methods for classifying instances of information based on specific attributes. Likewise, the syllabus will examine the operation of Neural Networks given their importance in executing algorithms that carry out specific tasks from data. On the other hand, the didactic contents will focus on Natural Language Processing so that graduates will benefit from descriptive analysis and corpus creation.  

This program will equip students with robust skills so that they can apply them immediately to their daily practice and overcome the challenges they face in the course of their work.  All of this is supported by a first-rate teaching staff, as well as TECH's revolutionary methodology: Relearning.  This learning system is based on the repetition of key concepts to ensure that students acquire knowledge in an optimal, progressive and natural way.  

You will develop Backpropagation Algorithms through 150 hours of the best digital teaching" 

This postgraduate certificate in Machine Learning and Data Mining contains the most complete and up-to-date program on the market. The most important features include: 

• Development of 100 simulated scenarios presented by experts in Machine Learning and Data Mining 
• Its graphic, schematic and practical contents, with which they are conceived, gather scientific and practical information on Machine Learning and Data Mining
• News on the latest developments in Machine Learning and Data Mining 
• It contains practical exercises where the self-assessment process can be carried out to improve learning 
• Interactive learning system based on the case method and its application to real practice 
• All this will be complemented by 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

You will delve into Regression and Continuous Response Models to predict the behavior of continuous variables as a function of other explanatory variables"

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 students will be assisted by an innovative interactive video system created by renowned and experienced experts.

You will enrich your daily procedures with the most innovative techniques in knowledge discovery processes"

You will accomplish your goals with the help of TECH's didactic tools, including interactive summaries and specialized readings"

Through 150 teaching hours, graduates will acquire a comprehensive approach to Machine Learning and Data Mining. Thanks to this, they will nurture their daily practice with the most advanced data exploration and preprocessing methods. In addition, they will generate intelligent algorithms from state-of-the-art methods such as Decision Trees and Clustering. In addition, professionals will gain solid skills in areas such as data analysis, predictive modeling and information visualization. Therefore, they will offer a variety of innovative solutions that will open up career opportunities in fields such as technology, finance or health. 

You will reach a cutting-edge level of specialization, being able to use Natural Language Processing to evaluate users' perception of products and services" 

General Objectives

• Prepare scientifically and technologically, as well as to develop the professional practice of Intelligent Systems, with a transversal and versatile approach adapted to the new technologies and innovations in this field
• Specialize students in the use of cutting-edge tools and techniques in the field of Artificial Intelligence and intelligent systems, including the mastery of relevant programming languages 
• Develop problem solving and critical thinking skills, to evaluate different approaches in the design and implementation of Intelligent Systems 
• Stimulate creativity and innovation in both the design and development of Intelligent Systems, promoting new ideas and approaches to address challenges in the field of Artificial Intelligence 

Specific Objectives

• Introduce knowledge discovery processes and basic concepts of machine learning 
• Learn data exploration and pre-processing methods, as well as different algorithms based on decision trees 
• Understand the operation of Bayesian methods and regression and continuous response methods 
• Understand the different classification rules and the evaluation of classifiers by learning how to use confusion matrices and numerical evaluation, the Kappa statistic and the ROC curve 
• Acquire essential knowledge related to text mining and natural language processing (NLP) and clustering 
• Expand your knowledge of neural networks, from simple neural networks to recursive neural networks 

With this program you will be up to date with Bayesian Methods used to make statistical inferences and fit complex models to visualized data"