Data mining, machine learning and deep learning (Inglés)

Sectorial

Competencias Digitales

Programación

Duración

40h

PRESENTACIÓN

Step into the future of technology with our Data Mining, Machine Learning and Deep Learning course. In a time where data is the new oil, mastering these skills opens up a world of opportunities. As industries increasingly rely on data-driven insights, the demand for professionals adept in supervised and unsupervised learning, as well as deep learning, is skyrocketing. This course empowers you with the ability to extract meaningful patterns from vast datasets, drive innovation, and create smarter solutions. Delivered online, it offers you the flexibility to learn at your own pace, ensuring you stay ahead in a competitive job market. Whether you’re looking to enhance your current role or pivot to a new career, this course is your gateway to becoming a sought-after expert in an ever-evolving field. Join us to transform data into intelligence and shape the future.

Objetivos

– Understand fundamental concepts of supervised learning techniques.

– Learn to implement regression and classification models effectively.

– Explore unsupervised learning methods for data clustering.

– Grasp the basics of neural networks in deep learning contexts.

– Develop skills to evaluate model performance accurately.

– Acquire knowledge of advanced deep learning architectures.

– Apply machine learning solutions to real-world data problems.

Temario

UNIT 1. SUPERVISED LEARNING (I) 1. Introduction 2. Simple, multiple and logistic linear regression (I) 3. Simple, multiple and logistic linear regression (II) 4. Support vector machines (SVM) 5. Decision trees UNIT 2. SUPERVISED LEARNING (II) 1. KNN (k-nearest neighbors) 2. Naive Bayes 3. Evaluation of supervised models 4. Example exercise 5. Proposed exercise UNIT 3. UNSUPERVISED LEARNING 1. Introduction to clustering: purconsider and metrics 2. K-means clustering 3. Hierarchical clustering, other techniques and examples 4. Principal component analysis (PCA) 5. PCA example exercise UNIT 4. DEEP LEARNING 1. Artificial Neural Networks (ANN) (I) 2. Artificial Neural Networks (ANN) (II) 3. Artificial Neural Networks (ANN) (III) 4. Example exercise 5. Proposed exercise

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¿Los cursos de Educa PHAROS son convalidables?

Muchos cursos pueden convalidarse como asignaturas de los másteres de Structuralia. 

Datos de nuestra área

+ 1.483

Horas

+88.999

Minutos

264

Cursos

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Educa PHAROS es un modelo formativo de nueva generación que posiciona al capital humano de la empresa a la vanguardia. A través de una plataforma que se adapta a la imagen corporativa de cada empresa y con un total de más de 900 cursos se consigue una formación específica para cada organización. La tarifa plana ilimitada, proporciona a cada empresa el número de cursos que se ajuste a sus necesidades y también la posibilidad de determinar qué empleados podrán tener acceso.