The field of data science has gained immense popularity in recent years and R is one of the leading technologies in this field. If you are looking to gain in-depth knowledge of machine learning and deep learning, then the Learning Path: R: Complete Machine Learning & Deep Learning is just right for you. This Learning Path is designed to help you unleash the true potential of R and unlock the hidden layers of data.
Overview of the Course
The Learning Path: R: Complete Machine Learning & Deep Learning focuses on developing and implementing machine learning and deep learning algorithms using R in real-world scenarios. Packt’s Video Learning Paths are a series of individual video products put together in a logical and stepwise manner such that each video builds on the skills learned in the video before it.
The course begins with covering some basic concepts of R to refresh your knowledge before deep-diving into advanced techniques. You will start with setting up the environment and then perform data ETL in R. You will then learn important machine learning topics, including data classification, regression, clustering, association rule mining, and dimensionality reduction. Next, you will understand the basics of deep learning and artificial neural networks and then move on to exploring topics such as ANNs, RNNs, and CNNs. Finally, you will learn about the applications of deep learning in various fields and understand the practical implementations of scalability, HPC, and feature engineering. By the end of the Learning Path, you will have a solid knowledge of all these algorithms and techniques and be able to implement them efficiently in your data science projects.
Authors of the Course
Don’t worry if this seems too far-fetched right now; the course has combined the best works of esteemed authors to ensure that your learning journey is smooth. The authors of the course include:
Selva Prabhakaran: He is a data scientist with a large e-commerce organization. In his 7 years of experience in data science, he has tackled complex real-world data science problems and delivered production-grade solutions for top multinational companies.
He is the founder of LargitData, a startup company that mainly focuses on providing Big Data and machine learning products. He has previously worked for Trend Micro as a software engineer, where he was responsible for building Big Data platforms for business intelligence and customer relationship management systems. In addition to being a startup entrepreneur and data scientist, he specializes in using Spark and Hadoop to process Big Data and apply data mining techniques for data analysis.Yu-Wei, Chiu (David Chiu): He is the founder of LargitData, a startup company that mainly focuses on providing Big Data and machine learning products. He has previously worked for Trend Micro as a software engineer, where he was responsible for building Big Data platforms for business intelligence and customer relationship management systems. In addition to being a startup entrepreneur and data scientist, he specializes in using Spark and Hadoop to process Big Data and apply data mining techniques for data analysis.
Vincenzo Lomonaco: He is a deep learning PhD student at the University of Bologna and founder of ContinuousAI, an open source project aiming to connect people and reorganize resources in the context of continuous learning and AI. He is also the PhD students' representative at the Department of Computer Science of Engineering (DISI) and teaching assistant of the courses machine learning and computer architectures in the same department.
Course Rating and Reviews
The Learning Path: R: Complete Machine Learning & Deep Learning has received an aggregate rating of 4.46318 out of 5 from 171 reviews. The course has been highly praised by users for its comprehensive coverage of machine learning and deep learning algorithms using R in real-world scenarios. The users have also appreciated the stepwise approach taken by the course in building up their skills.
One user stated, “I have been using R for some time now, but this course has helped me expand my knowledge to a great extent. The explanations are clear, the examples are relevant and the topics build on each other very nicely. I would highly recommend this course to anyone who wants to learn about machine learning and deep learning using R."
Another user said, "This course is perfect for beginners in R who want to gain invaluable knowledge on machine learning and deep learning. The instructors explain everything clearly and concisely, and provide practical applications for all the concepts."
Is this Course Right for You?
If you are interested in data science or want to expand your knowledge of machine learning and deep learning using R, then the Learning Path: R: Complete Machine Learning & Deep Learning is perfect for you. The course is designed for both beginners and advanced learners and the stepwise approach taken by the authors will help you build up your skills systematically. Moreover, the knowledge gained from this course will be invaluable in real-world data science projects.
In short, the Learning Path: R: Complete Machine Learning & Deep Learning is a comprehensive course that will help you gain in-depth knowledge of machine learning and deep learning using R. With a solid knowledge of all these algorithms and techniques, you will be equipped to implement them efficiently in your data science projects.
