Machine Learning with R
Accredited by CPD & iAP | FREE PDF Certificate Included | Unlimited Access for 365 Days | Quality Study Materials
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Overview
Advanced Machine Learning with R
Gain an insight into the advanced aspects of machine learning with R by taking this practical course in Advanced machine learning with R. This course aims to guide individuals with a basic knowledge on R programming language, statistics and data frames, on how to build machine systems in R by taking them through real-world examples. This accredited qualification might pose a great advantage for your career in data science and will provide you with skills that are sure to make you stand out from the others within the industry.
This course will start off by teaching you on how to tune hyper parameters based on the type of data to effectively solve a machine learning problem. You will be provided with an example that lets you explore sonar data, perform exploratory analysis on the dataset and improve the model through iterating. The other example will dive into the basics of neural networks by providing you an example on DNA classification. You will be guided on how to explore the DNA dataset, implement a neural network that classifies data and work with neural network algorithm directly.
The next example will pry into the keras package of R programming language to classify the DNA dataset from the previous example. You will also get to explore the CIFAR10 dataset and the convolutional Neural Network that is used in visual imagery. The final example of this course will discuss about the shiny package in R programming language that can be used to present data within a production system. By the end of this course, you will walk away with an advanced knowledge on machine learning with R to make significant progress within the industry.
* Free E-certificate (No additional cost for E-certificates)
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Description
COURSE CURRICULUM
Module 01 : Sonar Data – Hyper-Parameter Tuning
- The Course Overview
- Explore Sonar Data Set
- Tuning Grids
- Iterating – Improving our Tuning
Module 02 : Neural Network
- Neural Networks Basics
- Explore the DNA Set
- Implement a Neural Network
- Multi-layer Perceptron
- One Hot Encoding and MLP
Module 03 : Keras – Deep Learning on the GPU
- Overview of the Keras
- Installing Keras
- Neural Network in Keras
- CIFAR10 Data Set
- Convolutional Neural Network
Module 04 : Deploying Your Model
- Saving Your Model in R
- Saving Your Model for Another Language
- Shiny Web Interfaces
- Wrapping Your Model in Shiny
Access Duration
The course will be directly delivered to you, and you have 12 months access to the online learning platform from the date you joined the course. The course is self-paced and you can complete it in stages, revisiting the lectures at any time.
Method Of Assessment
The course is assessed online with a final, multiple-choice test, which is marked automatically. You will know instantly whether you have passed the course.
Certification
Those who pass this test will get a certificate in Advanced Machine Learning with R.
Other benefits
- High-quality e-learning study materials and mock exams.
- Tutorials/materials from the industry leading experts.
- 24/7 Access to the Learning Portal.
- The benefit of applying for TOTUM extra Discount Card.
- Recognised Accredited Qualification.
- Excellent customer service and administrative support
Who is this course for?
This course might interest individuals hoping to learn how R programming language can be used to build machine learning systems
Requirements
- This course requires no formal prerequisites and this certification is open to everyone
Career path
- Data analyst – £25,972 per annum
- Data scientist – £35,226 per annum
- Applications Architect – £59,869 per annum
- Statistician – £31,231 per annum
Questions and answers
Please confirm UK academic level (4-7) How many MCQ's and passing score ?
Answer:Dear Sir/Ma'am Thank you very much for your query. This is a well recognized course Accredited by The CPD Certification Service. Please contact the service provider for more details. Hurry up to grab the discount. As it ends soon. Regards, Student Support Team.
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Legal information
This course is advertised on reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.