Postgraduate certificate Machine Learning in the Company

This high-level course discusses the types of learning that exist and examines the different algorithms used for each type of learning depending on the objective we have in our data mining process. In this program we will deepen in an important part of Artificial Intelligence such as machine learning. The objective of this program is to develop the entire data mining process with a focus on the machine learning process. The final topics focus on a particular method of machine learning, namely neural networks and their evolution to deep learning and their implementation in real applications.

University certificate

duration

6 weeks

Modality

Online

Schedule

At your own pace

Exams

Online

start date

Credits

6 ECTS

financing up to

3 months

Price(first year)

See price

The world's largest school of business”

Syllabus

The Postgraduate certificate in Machine Learning in the Company is a tailor-made program that is delivered in a 100% online format so that the student can choose the time and place that best suits his or her availability, schedule and interests. A program that takes place over 6 weeks and is intended to be a unique and stimulating experience that will lay the foundations for professional success.

In this Postgraduate certificate you will be able to combine 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"

Syllabus

The Postgraduate certificate in Machine Learning in the Company of TECH Global University is an intensive program that prepares the student to face challenges and business decisions in the field of Machine Learning in the Company .

The content of the Postgraduate certificate in Machine Learning in the Company is designed to promote the development of skills that enable more rigorous decision making in uncertain environments.

Over the course of 150 hours, the student analyzes a plethora of practical cases through individual and teamwork. It is, therefore, an authentic immersion in real business situations.

This Postgraduate certificate deals in depth with the world of computer science in the business environment, and is designed to train professionals who understand the Diploma in Machine Learning in the Company from a strategic, international and innovative perspective.

A plan designed for students, focused on their professional improvement and that prepares them to achieve excellence in the field of business management and administration. A program that understands both yours and your company's needs through innovative content based on the latest trends, and supported by the best educational methodology and an exceptional faculty, which will provide you with the skills to solve critical situations, creatively and efficiently.

This Postgraduate certificate takes place over 2 weeks and is divided into 1 module:

Module 1. Automatic Learning

Where, When and How is it Taught?

It can be done completely online, from wherever and whenever you want and in a connected way, attending workshops and virtual conferences.

Module 1. Automatic Learning

1.1. Knowledge in Databases

1.1.1. Data Pre-Processing
1.1.2. Analysis
1.1.3. Interpretation and Evaluation of the Results

1.2. Machine Learning

1.2.1. Supervised and Unsupervised Learning
1.2.2. Reinforcement Learning
1.2.3. Semi-Supervised Learning Other Learning Models

1.3. Classification

1.3.1. Decision Trees and Rule-Based Learning
1.3.2. Support Vector Machines (SVM) and K-Nearest Neighbour (KNN) Algorithms
1.3.3. Metrics for Sorting Algorithms

1.4. Regression

1.4.1. Linear and Logistic Regression
1.4.2. Non-Linear Regression Models
1.4.3. Time Series Analysis
1.4.4. Metrics for Regression Algorithms

1.5. Clustering

1.5.1. Hierarchical Grouping
1.5.2. Partitional Grouping
1.5.3. Metrics for Clustering Algorithms

1.6. Association Rules

1.6.1. Measures of Interest
1.6.2. Rule Extraction Methods
1.6.3. Metrics for Association Rule Algorithms

1.7. Multiclassifiers

1.7.1. Bootstrap Aggregation or Bagging
1.7.2. Random Forests Algorithm
1.7.3. Boosting Algorithm

1.8. Probabilistic Reasoning Models

1.8.1. Probabilistic Reasoning
1.8.2. Bayesian Networks or Belief Networks
1.8.3. Hidden Markov Models

1.9. Multilayer Perceptron

1.9.1. Neural Network:
1.9.2. Machine Learning with Neural Networks
1.9.3. Gradient Descent, Backpropagation and Activation Functions
1.9.4. Implementation of an Artificial Neural Network

1.10. Deep Learning

1.10.1. Deep Neural Networks. Introduction
1.10.2. Convolutional Networks
1.10.3. Sequence Modeling
1.10.4. Tensorflow and Pytorch

Comprehensive yet specific, this program will take you to the concrete knowledge that the computer engineer needs to compete among the best in the industry"

Teaching Objectives

This program is designed to strengthen capacities in Machine Learning in the Company , in addition to developing new competencies and skills that will be essential in professional development. After the program, you will be equipped to make global decisions with an innovative perspective and an international vision.

A complete course of high interest for the IT professional, which will allow you to compete among the best prepared in the sector"

TECH makes the objectives of its students its own.
We work together to achieve them.

The Postgraduate certificate in Machine Learning in the Company enables students to:

Examine the data mining process
Substantiate the types of machine learning
Analyze the appropriate machine learning techniques for each type of problem
Examine the current paradigms of Artificial Intelligence
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
Demonstrate knowledge of different machine learning algorithms

Postgraduate Certificate in Machine Learning in Business

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.