Online or onsite, instructor-led live Random Forest training courses demonstrate through interactive hands-on practice how to use Random Forest to build machine learning algorithms for large datasets.
Random Forest training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Random Forest trainings in Cambridge can be carried out locally on customer premises or in NobleProg corporate training centres.
Learn Random Forest in our training center in Cambridge. Vision Park is within easy reach of
Cambridge city centre and has the
advantage of excellent links with the
M11 and A14.
Trains from London Kings Cross arrive every 30 minutes, with a 15 minute journey by taxi to the Park. Histon Railway Station is on the boundary of Vision Park, which provides high quality, frequent local transport from St Ives to Cambridge.
Guided Bus
Vision Park lies alongside the Cambridgeshire Guided Bus which offers fast and frequent buses from Histon to... Read more
Testimonials
★★★★★
★★★★★
The trainer was so knowledgeable and included areas I was interested in.
Mohamed Salama
Course: Data Mining & Machine Learning with R
So much breadth and topics covered. I felt it was a huge subject to try and cover in 3 days - the trainer did what they could to cover everything almost exactly on time!
Rock Solid Knowledge Ltd
Course: Machine Learning – Data science
Even with having to miss a day due to customer meetings, I feel I have a much clearer understanding of the processes and techniques used in Machine Learning and when I would use one approach over another. Our challenge now is to practice what we have learned and start to apply it to our problem domain
Richard Blewett - Rock Solid Knowledge Ltd
Course: Machine Learning – Data science
All like it
蒙 李
Course: Machine Learning Fundamentals with Python
Machine Translated
like it all
lisa xie
Course: Artificial Neural Networks, Machine Learning, Deep Thinking
Machine Translated
Communication with lecturers
文欣 张
Course: Artificial Neural Networks, Machine Learning, Deep Thinking
This instructor-led, live training in Cambridge (online or onsite) is aimed at data scientists and software engineers who wish to use Random Forest to build machine learning algorithms for large datasets.
By the end of this training, participants will be able to:
- Set up the necessary development environment to start building machine learning models with Random forest. - Understand the advantages of Random Forest and how to implement it to resolve classification and regression problems. - Learn how to handle large datasets and interpret multiple decision trees in Random Forest. - Evaluate and optimize machine learning model performance by tuning the hyperparameters.
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