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- 82% Artificial Intelligence Bootcamp in R Programming

Artificial Intelligence Bootcamp in R Programming

$17.99Track price

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8.3/10 (Our Score)
Product is rated as #58 in category Artificial Intelligence

YOUR COMPLETE GUIDE TO ARTIFICIAL NEURAL NETWORKS & DEEP LEARNING IN R:

This course covers the main aspects of neural networks and deep learning. If you take this course, you can do away with taking other courses or buying books on R based data science.

In this age of big data, companies across the globe use R to sift through the avalanche of information at their disposal. By becoming proficient in neural networks and deep learning in R, you can give your company a competitive edge and boost your career to the next level!

LEARN FROM AN EXPERT DATA SCIENTIST:

My name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment) graduate. I recently finished a PhD at Cambridge University.

I have +5 years of experience in analyzing real life data from different sources using data science related techniques and producing publications for international peer reviewed journals.

Over the course of my research I realized almost all the R data science courses and books out there do not account for the multidimensional nature of the topic .

This course will give you a robust grounding in the main aspects of practical neural networks and deep learning.

Unlike other R instructors, I dig deep into the data science features of R and give you a one–of–a–kind grounding in data science…

You will go all the way from carrying out data reading & cleaning to to finally implementing powerful neural networks and deep learning algorithms and evaluating their performance using R.

Instructor Details

Hello. I am a PhD graduate from Cambridge University where I specialized in Tropical Ecology. I am also a Data Scientist on the side. As a part of my research I have to carry out extensive data analysis, including spatial data analysis.or this purpose I prefer to use a combination of freeware tools- R, QGIS and Python.I do most of my spatial data analysis work using R and QGIS. Apart from being free, these are very powerful tools for data visualization, processing and analysis. I also hold an MPhil degree in Geography and Environment from Oxford University. I have honed my statistical and data analysis skills through a number of MOOCs including The Analytics Edge (R based statistics and machine learning course offered by EdX), Statistical Learning (R based Machine Learning course offered by Standford online). In addition to spatial data analysis, I am also proficient in statistical analysis, machine learning and data mining. I also enjoy general programming, data visualization and web development. In addition to being a scientist and number cruncher, I am an avid traveler

Specification: Artificial Intelligence Bootcamp in R Programming

Duration

10 hours

Year

2020

Level

Intermediate

Certificate

Yes

Quizzes

No

11 reviews for Artificial Intelligence Bootcamp in R Programming

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  1. Posey Parker

    A good mix of theory and application

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  2. Sunny Lamba

    I really enjoyed the theoretical lectures. They teach the basic ideas without the jargon

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  3. Anil Kumar Pandey

    Informative

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  4. John D Hazard

    Instructor assumes quite a bit of previous knowledge. I wouldn’t recommend to a beginner. MxNet won’t install on R 3.6.1.

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  5. Prity Polly

    Very thorough deep learning course in R

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  6. Monica Shah

    It is good to have a deep learning course that uses R

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  7. Selvia Jain

    Good mix of theory and practical AI lectures

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  8. sushma Pandey

    Informative and excellent

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  9. Susan Tang

    This is most detailed AI course I seen

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  10. Bryan Butler

    Overall, this was a very good course to cover a wide variety of deep learning frameworks in R including MXNet, H2o, and Keras across a variety of different uses cases. The structure is set so that there is a limited amount of theory (which I covered in previous python courses), and more code work which gets into the nuts and bolts of how to actually use these frameworks in R. My version of R (3.6.1) was newer than the one available for MXNet so I skipped those sections; in my work H2o and Keras are far more relevant. The main models focused on both ‘toy’ data like MNist and some real world data. With some of the Keras models at the end, it would have been great to take it one step further beyond the model accuracy and loss and show the final use especially in the text/fraud case.

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  11. Infine

    theoretical material is brilliant! but practical stuff is not well explained

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    Artificial Intelligence Bootcamp in R Programming
    Artificial Intelligence Bootcamp in R Programming

    $17.99

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