Deep Learning Neural Network with R

The world of machine learning and data analysis is rapidly evolving, and the demand for skilled professionals is soaring. If you're looking to level up your skills in this field, then this Deep Learning Neural Network with R course is just what you need. This course is designed to help you master the fundamentals of deep learning neural networks, with a specific focus on R programming.

Through this course, you'll learn how to build single-layer and multi-layer neural networks, which are critical for many machine learning applications. You'll start by diving into single-layer neural networks for agricultural projects, where you'll learn how to develop models to predict crop yields. Then, you'll move on to multi-layer neural networks for war casualties analysis, where you'll learn how to identify patterns and make predictions.

With hands-on projects and real-world examples, you'll gain the practical experience and theoretical understanding you need to take on complex deep learning projects. Whether you're an experienced data analyst or just starting in the field, this course is perfect for anyone looking to expand their knowledge and expertise in deep learning neural networks with R.

Learning Outcomes:

• Understanding of single-layer and multi-layer neural networks
• Knowledge of R programming for neural network applications
• Implementation of neural networks in real-world projects
• Familiarity with agriculture and war datasets for neural network modelling
• Ability to evaluate neural network model accuracy and performance

Certificate of completion

Digital certificate - £9

Certificate of completion

Hard copy certificate - £15

The Deep Learning Neural Network with R course is designed to provide learners with a comprehensive understanding of how to build and evaluate neural networks using R programming language. The course includes four modules that cover single-layer and multi-layer neural networks applied to agriculture and war datasets. Each module contains practical hands-on projects that allow learners to gain real-world experience in neural network development and evaluation. By the end of the course, learners will have a solid understanding of neural network concepts, R programming language, and practical experience with real-world datasets.

⊱⊱Deep Learning Neural Network with R Course Curriculum ⊰⊰

• Section 01: Single Layer Neural Networks Project - Agriculture (Part - 1)
• Section 02: Single Layer Neural Networks Project - Agriculture (Part - 2)
• Section 03: Multi-Layer Neural Networks Project - Deaths in wars (Part - 1)
• Section 04: Multi-Layer Neural Networks Project - Deaths in wars (Part - 2)

How is the course assessed?

Upon completing an online module, you will immediately be given access to a specifically crafted MCQ test. For each test, the pass mark will be set to 60%.

Exam & Retakes:
It is to inform our learners that the initial exam for this online course is provided at no additional cost. In the event of needing a retake, a nominal fee of £9.99 will be applicable.

Certification
Upon successful completion of the assessment procedure, learners can obtain their certification by placing an order and remitting a fee of __ GBP. £9 for PDF Certificate and £15 for the Hardcopy Certificate within the UK ( An additional £10 postal charge will be applicable for international delivery).

• Data analysts and scientists seeking to expand their knowledge of neural networks and R programming
• Professionals interested in applying neural networks to agriculture or war datasets
• Students and researchers interested in deep learning and machine learning techniques
• Anyone looking to enhance their skills in data analysis and modelling using neural networks and R programming

There are no formal entry requirements for the course, with enrollment open to anyone!

• Data Analyst
• Machine Learning Engineer
• Data Scientist
• Artificial Intelligence Developer
• Research Scientist

Entry-level positions such as Data Analysts can expect to earn between £25,000 to £35,000 per annum, whereas senior-level positions such as Machine Learning Engineers can earn upwards of £70,000 per annum.

Currently there are no Q&As for this course. Be the first to ask a question.