Artificial Intelligence for Business : Harness AI for Value, Growth and Innovation
Kamales Lardi
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Unsupervised Machine Learning for Clustering in Political and Social Research
Philip D. (University of Chicago) Waggoner
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Add to BasketImages as Data for Social Science Research : An Introduction to Convolutional Neural Nets for Image Classification
Nora (University of Illinois, Urbana-Champaign) Webb Williams
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Text Analysis in Python for Social Scientists : Discovery and Exploration
Dirk Hovy
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Add to BasketModern Dimension Reduction
Philip D. (University of Chicago) Waggoner
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Disconnected : How to Deliver Realness, Meaning, and Belonging at Work
Colleen McFarland
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Data Preprocessing with Python for Absolute Beginners : Step-by-Step Guide with Hands-on Projects and Exercises
Ai Publishing
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Statistical Data Analytics : Foundations for Data Mining, Informatics, and Knowledge Discovery, Solutions Manual
Walter W. (Department of Statistics, University of South Ca Piegorsch
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Add to BasketLeading Projects with Data : Overcome Behavioral and Cultural Barriers to Unlock the Hidden Value of Data in Projects
Marcus Glowasz
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Studyguide for Business Driven Information Systems by Baltzan, Paige, ISBN 9780073376899
Cram101 Textbook Reviews
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Ruby Data Processing : Using Map, Reduce, and Select
Jay Godse
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Visualization : The Best Visualization Techniques And Tips For Creative Visualization (Create and Achieve Your Goals Faster Than You Could Imagine)
Brittney Macdonalds
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Visualization : Learn How To Improve Your Life With Visualization Exercises (Creative Visualization Techniques You Can Use Today To Achieve Your Dreams)
August Hopkins
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Visualization : Use The Power Of Your Imagination To Create What You Want In Your Life (Visualization For Beginner)
Arthur Webster
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Python for Data Science : Step-By-Step Crash Course On How to Come Up Easily With Your First Data Science Project From Scratch In Less Than 7 Days. Includes Practical Exercises
Ted Wolf
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Python Data Analytics : The Ultimate Guide To Get Started With Data Analysis Using Python, NumPy and Pandas
Stephen Ward
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Hands-On Big Data Analytics with PySpark : Analyze large datasets and discover techniques for testing, immunizing, and parallelizing Spark jobs
Rudy Lai
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Supervised Machine Learning with Python : Develop rich Python coding practices while exploring supervised machine learning
Taylor Smith
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