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alt="Download code icon" /> <span class="tabs-label">Download Code</span> </a> </div> <section class="product-book-content-details"> <span> <h2 class="content-header h5 mb-2">Key benefits</h2> <ul class="content-text mb-2" > <li> Dive into the advanced algorithms such as hyper-parameter tuning and deep learning, and putting your models into production </li> <li> Practical, solid, real-world examples that will help you get acquainted with the various stages of machine learning using the R language </li> <li> Explore important machine learning concepts such as neural network, hyper parameter, unsupervised learning </li> </ul> </span> <span> <h2 class="content-header h5 mb-2">Description</h2> <div class="content-text mb-2">Machine learning is the subfield of computer science that gives computers the ability to learn without being explicitly programmed. It explores the study and construction of algorithms that can learn from and make predictions on data. The R language is widely used among statisticians and data miners to develop statistical software and data analysis. Machine Learning is a cross-functional domain that uses concepts from statistics, math, software engineering, and more. In this course, you’ll get to know the advanced techniques for Machine Learning with R, such as hyper-parameter turning, deep learning, and putting your models into production through solid, real-world examples. In the first example, you’ll learn all about neural networks through an example of DNA classification data. You’ll explore networks, implement them, and classify them. After that, you’ll see how to tune hyper-parameters using a data set of sonar data and you’ll get to know their properties. Next, you’ll understand unsupervised learning with an example of clustering politicians, where you’ll explore new patterns, understand unsupervised learning, and visualize and cluster the data. Moving on, we discuss some of the details of putting a model into a production system so you can use it as a part of a larger application. Finally, we’ll offer some suggestions for those who wish to practice the concepts further. </div> </span> <span> <h2 class="content-header h5 mb-2">Who is this book for?</h2> <div class="content-text mb-2">If you are an aspiring data scientist who is familiar with the basic of the R language, data frames, and some basic knowledge in statistics, this video is for you. Readers are not expected to have any knowledge of the development of Artificial Intelligence or Machine Learning systems. If you want to understand how the R programming environment and packages can be used to develop machine learning systems, then this is the perfect course for you.</div> </span> <span> <h2 class="content-header h5 mb-2">What you will learn</h2> <ul class="content-text mb-2" > <li> Work with advanced techniques in machine learning with R </li> <li> Explore advanced techniques such as hyper parameter tuning and deep learning </li> <li> Work with Neural Networks (NNs) and explore, implement, and classify documents </li> <li> Get to know hyper-parameter tuning by exploring and iterating through parameters </li> <li> Understand unsupervised learning, clustering data, and visualizing </li> <li> Know how to evaluate the performance of your models and put your model into use </li> <li> Work with a variety of real-world algorithms that suit your problem </li> </ul> </span> </section> <div class="device product-page-lhs-mobile"> <div class="product-details-section mt-2 hide"> <div 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href="https://www.packtpub.com/en-us/product/advanced-machine-learning-with-r-9781788291491/chapter/sonar-data-hyper-parameter-tuning-32362/section/the-course-overview-32366" target="_blank" class="packt-accordion-header packt-accordion-header-toc-hover no-style-anchor pl-3" > <div class="packt-accordion-header-dot"> The Course Overview </div> </a> <a href="https://www.packtpub.com/en-us/product/advanced-machine-learning-with-r-9781788291491/chapter/sonar-data-hyper-parameter-tuning-32362/section/explore-sonar-data-set-32367" target="_blank" class="packt-accordion-header packt-accordion-header-toc-hover no-style-anchor pl-3" > <div class="packt-accordion-header-dot"> Explore Sonar Data Set </div> </a> <a href="https://www.packtpub.com/en-us/product/advanced-machine-learning-with-r-9781788291491/chapter/sonar-data-hyper-parameter-tuning-32362/section/tuning-grids-32368" target="_blank" class="packt-accordion-header packt-accordion-header-toc-hover no-style-anchor pl-3" > <div class="packt-accordion-header-dot"> Tuning Grids </div> </a> <a href="https://www.packtpub.com/en-us/product/advanced-machine-learning-with-r-9781788291491/chapter/sonar-data-hyper-parameter-tuning-32362/section/iterating-improving-our-tuning-32369" target="_blank" class="packt-accordion-header packt-accordion-header-toc-hover no-style-anchor pl-3" > <div class="packt-accordion-header-dot"> Iterating – Improving our Tuning </div> </a> <a href="https://www.packtpub.com/en-us/product/advanced-machine-learning-with-r-9781788291491/chapter/sonar-data-hyper-parameter-tuning-32362/section/final-results-32370" target="_blank" class="packt-accordion-header packt-accordion-header-toc-hover no-style-anchor pl-3" > <div class="packt-accordion-header-dot"> Final Results </div> </a> </div> <div class="packt-accordion-header" role="button" data-collapse="false" > <span class="">Neural Network</span> <span class="packt-accordion-subheader "> <img src="https://www.packtpub.com/rebuild/build/assets/chevron-down-grey-D1AYdVO8.svg" class="svg-icon icon icon-4" alt="Chevron down icon" /> <img src="https://www.packtpub.com/rebuild/build/assets/chevron-up-grey-CJySprCs.svg" class="svg-icon icon icon-4 d-none" alt="Chevron up icon" /> </span> </div> <div class="packt-accordion-collapse scrollbar isOpen" > <a href="https://www.packtpub.com/en-us/product/advanced-machine-learning-with-r-9781788291491/chapter/neural-network-32363/section/neural-networks-basics-32371" target="_blank" class="packt-accordion-header packt-accordion-header-toc-hover no-style-anchor pl-3" > <div class="packt-accordion-header-dot"> Neural Networks Basics </div> </a> <a href="https://www.packtpub.com/en-us/product/advanced-machine-learning-with-r-9781788291491/chapter/neural-network-32363/section/explore-the-dna-set-32372" target="_blank" class="packt-accordion-header packt-accordion-header-toc-hover no-style-anchor pl-3" > <div class="packt-accordion-header-dot"> Explore the DNA Set </div> </a> <a href="https://www.packtpub.com/en-us/product/advanced-machine-learning-with-r-9781788291491/chapter/neural-network-32363/section/implement-a-neural-network-32373" target="_blank" class="packt-accordion-header packt-accordion-header-toc-hover no-style-anchor pl-3" > <div class="packt-accordion-header-dot"> Implement a Neural Network </div> </a> <a href="https://www.packtpub.com/en-us/product/advanced-machine-learning-with-r-9781788291491/chapter/neural-network-32363/section/multi-layer-perceptron-32374" target="_blank" class="packt-accordion-header packt-accordion-header-toc-hover no-style-anchor pl-3" > <div class="packt-accordion-header-dot"> Multi-layer Perceptron </div> </a> <a href="https://www.packtpub.com/en-us/product/advanced-machine-learning-with-r-9781788291491/chapter/neural-network-32363/section/one-hot-encoding-and-mlp-32375" target="_blank" class="packt-accordion-header packt-accordion-header-toc-hover no-style-anchor pl-3" > <div class="packt-accordion-header-dot"> One Hot Encoding and MLP </div> </a> </div> <div class="packt-accordion-header" role="button" data-collapse="false" > <span class="">Keras – Deep Learning on the GPU</span> <span class="packt-accordion-subheader "> <img src="https://www.packtpub.com/rebuild/build/assets/chevron-down-grey-D1AYdVO8.svg" class="svg-icon icon icon-4" alt="Chevron down icon" /> <img src="https://www.packtpub.com/rebuild/build/assets/chevron-up-grey-CJySprCs.svg" class="svg-icon icon icon-4 d-none" alt="Chevron up icon" /> </span> </div> <div class="packt-accordion-collapse scrollbar isOpen" > <a href="https://www.packtpub.com/en-us/product/advanced-machine-learning-with-r-9781788291491/chapter/keras-deep-learning-on-the-gpu-32364/section/overview-of-the-keras-32376" target="_blank" class="packt-accordion-header packt-accordion-header-toc-hover no-style-anchor pl-3" > <div class="packt-accordion-header-dot"> Overview of the Keras </div> </a> <a href="https://www.packtpub.com/en-us/product/advanced-machine-learning-with-r-9781788291491/chapter/keras-deep-learning-on-the-gpu-32364/section/installing-keras-32377" target="_blank" class="packt-accordion-header packt-accordion-header-toc-hover no-style-anchor pl-3" > <div class="packt-accordion-header-dot"> Installing Keras </div> </a> <a href="https://www.packtpub.com/en-us/product/advanced-machine-learning-with-r-9781788291491/chapter/keras-deep-learning-on-the-gpu-32364/section/neural-network-in-keras-32378" target="_blank" class="packt-accordion-header packt-accordion-header-toc-hover no-style-anchor pl-3" > <div class="packt-accordion-header-dot"> Neural Network in Keras </div> </a> <a href="https://www.packtpub.com/en-us/product/advanced-machine-learning-with-r-9781788291491/chapter/keras-deep-learning-on-the-gpu-32364/section/cifar10-data-set-32379" target="_blank" class="packt-accordion-header packt-accordion-header-toc-hover no-style-anchor pl-3" > <div 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class="carousel"> <div class="carousel-header"> <div class="carousel-header-left"> <h2 class="carousel-header-left-title">About the author</h2> </div> </div> <div class="carousel-body"> <div class="carousel-body-items" data-carousel-container data-visible-items="1" data-carousel-container-id="carousel-header-actions-authors" > <div class="carousel-body-items-item" data-carousel-item style="flex:0 0 100%;" data-carousel-no="1" > <div class="author-section non-carousel"> <div class="author-header-with-body"> <div class="author-section-header"> <div class="header-left"> <img src="https://www.packtpub.com/rebuild/build/assets/profile-RD2gMNMF.svg" class="svg-icon author-profile-img" alt="Profile icon" /> <span class="author-name device--sm"> Tim Hoolihan </span> </div> <span class="author-name device-sm">Tim Hoolihan</span> <div class="header-right"> </div> </div> <div class="author-section-body"> <div class="ellipsis-content product-card-content-info-text"> <div class="ellipsis" style="-webkit-line-clamp: 10; "> Tim Hoolihan currently works at DialogTech, a marketing analytics company focused on conversations. He is the Senior Director of Data Science there. Prior to that, he was CTO at Level Seven, a regional consulting company in the US Midwest. He is the organizer of the Cleveland R User Group. In his job, he uses deep neural networks to help automate of a lot of conversation classification problems. In addition, he works on some side-projects researching other areas of Artificial Intelligence and Machine Learning. Personally, he enjoys working on practice problems on Kaggle.com as well. Outside Data Science, he is interested in mathematical computation in general; he is a lifelong math learner and really enjoys applying it wherever he can. Recently, he has been spending time in financial analysis, and game development. He also knows a variety of languages: R, Python, Ruby, PHP, C/C++, and so on. 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