Machine Learning, Deep Learning and Data Science Practical Applications is your gateway to thriving in the rapidly evolving field of data-driven technologies. As industries across the globe increasingly rely on data to drive innovation and decision-making, the demand for skilled professionals in machine learning, deep learning, and data science has never been higher. This course, delivered entirely online for maximum flexibility, empowers you to gain crucial skills in understanding and implementing complex algorithms, mastering data analysis, and applying these techniques to real-world scenarios. By participating, you position yourself at the forefront of a booming sector, ready to tackle challenges and seize opportunities with confidence. Embrace the future of technology and unlock your potential with this comprehensive and engaging programme.
Machine learning, deep learning and data science practical applications
This course is aimed at professionals and graduates in the field seeking to expand their knowledge in machine learning, deep learning, and data science. Ideal for those interested in practical applications and real-world case studies, it provides valuable insights without requiring advanced prior expertise, making it accessible yet enriching for those eager to update their skills.
40 hours
Desarrollo de IA
Course objectives
- To understand fundamental machine learning concepts and their practical applications.
- To explore deep learning techniques and neural network architectures.
- To analyse data using data science tools and methodologies.
- To implement machine learning models for real-world scenarios.
- To evaluate the performance of deep learning algorithms effectively.
- To apply data science principles in case study applications.
- To integrate machine learning, deep learning, and data science solutions.
What does it prepare you for?
This course equips you with the skills to implement machine learning models, understand deep learning algorithms, and apply data science techniques to real-world scenarios. You'll be able to analyse complex datasets, build predictive models, and derive actionable insights. Through practical case studies, you'll learn to tackle industry-relevant problems, enhancing your ability to innovate and make data-driven decisions in your professional environment.
Teaching units
UNIT 1. MACHINE LEARNING
Linear regression
Logistic regression
Basic Neural Network
Clustering
Principal Component Analysis (PCA)
UNIT 2. DEEP LEARNING
Deep learning
Optimization
Convolutional Neural Network
Recurrent Neural Network
Natural Language Processing (NLP)
UNIT 3. DATA SCIENCE
Creating tables and Reports
Transformation and filtering data
Data visualization
Relation between data tables
Dashboard
UNIT 4. CASE STUDY APPLICATION
Object detection in images
Object classification in images
Facial recognition
Word detection
Business Intelligence application