Data Mining, Machine Learning, and Deep Learning (English)

Name: Data Mining, Machine Learning, and Deep Learning (English)
Brand: Educa PHAROS
SKU: AFO028N87
Availability: InStock

Industry-Specific

Digital Skills

Schedule

Duration

40 hours

PRESENTATION

Step into the future of technology with our Data Mining, Machine Learning, and Deep Learning course. In an era 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 skilled in supervised and unsupervised learning—as well as deep learning—is skyrocketing. This course equips you with the ability to extract meaningful patterns from vast datasets, drive innovation, and create smarter solutions. Offered online, it gives you the flexibility to learn at your own pace, ensuring you stay ahead in a competitive job market. Whether you’re looking to advance in your current role or transition to a new career, this course is your gateway to becoming a highly sought-after expert in a constantly evolving field. Join us to turn data into insights and shape the future.

Objectives

– Understand the fundamental concepts of supervised learning techniques.

– Learn to implement regression and classification models effectively.

– Explore unsupervised learning methods for data clustering.

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

– Develop skills to accurately evaluate model performance.

– Gain knowledge of advanced deep learning architectures.

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

Syllabus

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: principles 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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Are the Educa PHAROS courses eligible for credit?

Many courses can be credited toward the master's programs at Structuralia.

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+ 1.483

Hours

+88.999

Minutes

264

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Why is Educa PHAROS the best solution?

Educa PHAROS is a next-generation training model that places a company’s human capital at the forefront. Through a platform that adapts to each company’s corporate identity and offers a total of more than 900 courses, it provides tailored training for each organization. The unlimited flat-rate plan provides each company with the number of courses that best suits its needs, as well as the ability to determine which employees will have access.