"Supervised Machine Learning for Text Analysis in R"

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Book	Author(s)	Year	Publisher
Supervised Machine Learning for Text Analysis in R	Emil Hvitfeldt; Julia Silge	2021	Routledge
Machine Learning for Text	Charu C. Aggarwal	1st ed. 2018	Springer International Publishing
Machine Learning for Text	Charu C. Aggarwal	2nd ed. 2022	Springer International Publishing
R Machine Learning Projects: Implement supervised, unsupervised, and reinforcement learning techniques using R 3. 5	Dr. Sunil Kumar Chinnamgari	2019	Packt Publishing
R Machine Learning Projects: Implement supervised, unsupervised, and reinforcement learning techniques using R 3. 5	Dr. Sunil Kumar Chinnamgari	2019	Packt Publishing
Supervised machine learning: optimization framework and applications with SAS and R	Kolosova, Tanya; Berestizhevsky, Samuel	2020;2021	CRC Press
Machine Learning Foundations: Supervised, Unsupervised, and Advanced Learning	Taeho Jo	1st ed. 2021	Springer International Publishing
Behavior Analysis with Machine Learning Using R	Enrique Garcia Ceja	2021	Routledge
Practical Machine Learning in R	Fred Nwanganga	2020	John Wiley & Sons
Semi-Supervised and Unsupervised Machine Learning: Novel Strategies	Amparo Albalate	2011	John Wiley & Sons
Machine Learning in Python: for Predictive Analysis	Michael Bowles	2015	John Wiley & Sons
Statistics for Machine Learning (Python, R)	Pratap Dangeti	2017	Packt Publishing
Supervised Machine Learning in Wind Forecasting and Ramp Event Prediction	Dipankar Deb; Harsh Dhiman andValentina Emilia Balas	2020	Academic Press
R: recipes for analysis, visualization and machine learning: get savvy with R language and actualize projects aimed at analysis, visualization and machine learning /	Viswanathan, Viswa,		Packt Publishing
Machine Learning Using R	Karthik Ramasubramanian; Abhishek Singh	1st ed.	Apress
Machine Learning with R	Abhijit Ghatak	1st ed. 2017	Springer Nature Singapore
Welding and Cutting Case Studies with Supervised Machine Learning	S. Arungalai Vendan; Rajeev Kamal; Abhinav Karan; Liang Gao; Xiaodong Niu; Akhil Garg	1st ed. 2020	Springer Nature Singapore
Machine Learning for Multimedia Content Analysis	Yihong Gong; Wei Xu	2007	Springer US
Machine Learning for Big Data Analysis	Siddhartha Bhattacharyya; Hrishikesh Bhaumik; Anirban Mukherjee; Sourav De	2019	De Gruyter
Introduction to Machine Learning with R: Rigorous Mathematical Analysis	Scott V. Burger	2018	O'Reilly UK Ltd.
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Data analysis – supervised machine learning		Deep Learning By Example: A hands-on guide to implementing advanced machine learning algorithms and neural networks	Ahmed Menshawy	2018	Packt Publishing
Supervised Machine Learning		Encyclopedia of the Sciences of Learning	Norbert M. Seel	2012	Springer US
Supervised (Machine) Learning		Encyclopedia of Cancer	Manfred Schwab	3rd ed. 2012	Springer Berlin Heidelberg
Supervised (Machine) Learning		Encyclopedia of Cancer	Manfred Schwab	2nd ed. 2009	Springer Berlin Heidelberg
Supervised Machine Learning	R. Gentleman; W. Huber; V. J. Carey	Bioconductor Case Studies	Florian Hahne; Wolfgang Huber; Robert Gentleman; Seth Falcon	2008	Springer New York
Supervised Machine Learning	Jiangang Hao	Computational Psychometrics: New Methodologies for a New Generation of Digital Learning and Assessment: With Examples in R and Python	Alina A. von Davier; Robert J. Mislevy; Jiangang Hao	1st ed. 2021	Springer International Publishing
Supervised machine learning		IBM Watson Solutions for Machine Learning: Achieving Successful Results Across Computer Vision, Natural Language Processing and AI Projects Using Watson Cognitive Tools (English Edition)	Arindam Ganguly	2021	BPB Publications
Supervised Machine Learning		Python Machine Learning. A Crash Course for Beginners to Understand Machine learning, Artificial Intelligence, Neural Networks, and Deep Learning with Scikit-Learn, TensorFlow, and Keras.	Josh Hugh Learning	2019
Supervised machine learning		Practical Big Data Analytics	Nataraj Dasgupta	2018	Packt Publishing
Supervised Machine Learning		Applied Supervised Learning with Python: Use Scikit-Learn to Build Predictive Models from Real-world Datasets and Prepare Yourself for the Future of Machine Learning	Benjamin Johnston; Ishita Mathur	2019	Packt Publishing
Supervised machine learning		F# for Machine Learning Essentials	Sudipta Mukherjee	2016	Packt Publishing
Supervised machine learning		Mastering OpenCV 4 with Python: A practical guide covering topics from image processing, augmented reality to deep learning with OpenCV 4 and Python 3. 7	Alberto Fernandez Villan	2019	Packt Publishing
Supervised Machine Learning		Deep Learning for Time Series Forecasting - Predict the Future with MLPs, CNNs and LSTMs in Python	Jason Brownlee	2018
Supervised Machine Learning		Introduction to Time Series Forecasting with Python - How to Prepare Data and Develop Models to Predict the Future	Jason Brownlee	2020	v1.9
Supervised machine learning		R for data science cookbook: over 100 hands-on recipes to effectively solve real-world data problems using the most popular R packages and techniques /	Chiu, David.		Packt Publishing, Limited
Machine Learning (Supervised)	Shailesh Kumar	Essentials of Business Analytics: An Introduction to the Methodology and its Applications	Bhimasankaram Pochiraju; Sridhar Seshadri	1st ed. 2019	Springer International Publishing
Supervised Machine Learning	Pramod Singh	Learn PySpark: Build Python-based Machine Learning and Deep Learning Models	Pramod Singh	1st ed.	Apress
Supervised machine learning		Grokking Deep Learning	Andrew W. Trask	2019	Manning
Supervised Machine Learning		Grokking deep learning	Andrew trask	2018	Manning publication
Supervised Machine Learning	Jeff Palmer; Arijit Chakravarty	An Introduction to High Content Screening: Imaging Technology, Assay Development, and Data Analysisin Biology and Drug Discovery	Steven A. Haney; Douglas Bowman; Arijit Chakravarty; Anthony Davies; Caroline Shamu	2014	John Wiley & Sons
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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