Search Results - (((((((kant OR mantis) OR wantis) OR carter) OR cantor) OR anne) OR start) OR martin) algorithms.

Machine Learning with Apache Spark Quick Start Guide : Uncover Patterns, Derive Actionable Insights, and Learn from Big Data Using MLlib. by Quddus, Jillur

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Natural Language Processing with Python Quick Start Guide : Going from a Python Developer to an Effective Natural Language Processing Engineer. by Kasliwal, Nirant

Table of Contents: “…Cover; Title Page; Copyright and Credits; About Packt; Contributors; Table of Contents; Preface; Chapter 1: Getting Started with Text Classification; What is NLP?; Why learn about NLP?…”
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Hands-on recommendation systems with Python : start building powerful and personalized, recommendation engines with Python by Banik, Rounak

Table of Contents: “…Computing the cosine similarity scoreBuilding the recommender function; Metadata-based recommender; Preparing the data; The keywords and credits datasets; Wrangling keywords, cast, and crew; Creating the metadata soup; Generating the recommendations; Suggestions for improvements; Summary; Chapter 5: Getting Started with Data Mining Techniques; Problem statement; Similarity measures; Euclidean distance; Pearson correlation; Cosine similarity ; Clustering; k-means clustering; Choosing k; Other clustering algorithms; Dimensionality reduction; Principal component analysis.…”
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Adventures in Raspberry Pi by Philbin, Carrie Anne

Table of Contents: “…Twinkle Twinkle Little Star -- Repeating Lines in a Loop -- First Electronic Track -- Using Different Synthesizer Sounds -- Using Prerecorded Samples -- Creating a Surprising Tune -- Using "rand" to Play Random Notes -- Using Algorithms -- Running Two Scripts at the Same Time -- Adding Effects -- Making a Recording of Your Music -- Further Adventures with Sonic Pi -- Adventure 8 Using the GPIO Pins on the Raspberry Pi -- Using a Raspberry Pi GPIO Pin Layout Diagram -- Electronics Basics -- Using a Python Library to Control GPIO -- Making an LED Blink -- Creating the LEDblink Python Code -- Connecting the LEDblink Components -- Running LEDblink.py in IDLE -- Using a Button to Turn on an LED -- Creating the buttonLED Python Code -- Connecting the buttonLED Components -- Running buttonLED.py in IDLE -- Using a PIR Motion Sensor to Trigger a Sound -- Creating the Motion-Sensing Python Code -- Connecting the PIRmotion Components -- Running PIRmotion.py in IDLE -- The Marshmallow Challenge -- Creating the Marshmallow Button -- Mapping Marshmallow Input to a Keyboard Key -- Scratch Marshmallow Game -- Further Adventures with GPIO Pins -- Adventure 9 Experimenting with Cameras and HATs -- Getting Started with the Raspberry Pi Camera -- Connecting the Camera to Your Raspberry Pi -- Programming the Picamera with Python -- Creating a Time-Lapse Photography Program -- Mounting Your Camera -- Making a Movie of Your Images -- Getting Started with the Explorer HAT Pro -- Connecting the HAT to Your Raspberry Pi -- Downloading and Installing the Explorer HAT Library -- Programming the LEDs -- Programming the Touch Pads -- Creating an Explorer HAT Pro Disco Trigger Trap -- Creating the Disco Trigger Trap Python Code -- Making the Aluminum Foil Trap -- Getting Started with the Sense HAT -- Programming the LED Matrix with Python.…”
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Beautiful Mathematics by Erickson, Martin

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Aha! Solutions by Erickson, Martin

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Turing's vision : the birth of computer science by Bernhardt, Chris

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Intelligence emerging : adaptivity and search in evolving neural systems by Downing, Keith L.

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Introduction to identity-based encryption by Martin, Luther

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Equine neurology

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Learning predictive analytics with python : gain practical insights into predictive modelling by implementing Predictive Analytics algorithms on public datasets with Python by Kumar, Ashish

Table of Contents: “…Cover ; Copyright; Credits; Foreword; About the Author; Acknowledgments; About the Reviewer; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Getting Started with Predictive Modelling ; Introducing predictive modelling; Scope of predictive modelling; Ensemble of statistical algorithms; Statistical tools; Historical data; Mathematical function; Business context; Knowledge matrix for predictive modelling; Task matrix for predictive modelling; Applications and examples of predictive modelling; LinkedIn's ""People also viewed"" feature; What it does?…”
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Computer simulation in physics and engineering by Steinhauser, M. O. (Martin Oliver)

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Computing the homology of the lambda algebra by Tangora, Martin C.

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Radial basis functions : theory and implementations by Buhmann, M. D. (Martin Dietrich), 1963-

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Robotic navigation and mapping with radar

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Stairs 2006 : Proceedings of the Third Starting AI Researchers' Symposium

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STAIRS 2010 : Proceedings of the Fifth Starting AI Researchers' Symposium. by Ågotnes, Thomas

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Pediatric evidence : the practice-changing studies

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Artificial transmission lines for RF and microwave applications by Martín, Ferran, 1965-

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Digital Signal Processing 101 : Everything You Need to Know to Get Started by Parker, Michael, 1963-

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