Search Results - (((((((want OR mantis) OR dantis) OR carter) OR cantor) OR anne) OR start) OR martin) algorithms.

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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

    Published 2018
    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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  7. 47

    Hands-on recommendation systems with Python : start building powerful and personalized, recommendation engines with Python by Banik, Rounak

    Published 2018
    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

    Published 2017
    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

    Published 2012
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    Aha! Solutions by Erickson, Martin

    Published 2012
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    Turing's vision : the birth of computer science by Bernhardt, Chris

    Published 2016
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    Introduction to identity-based encryption by Martin, Luther

    Published 2008
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    Equine neurology

    Published 2015
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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

    Published 2016
    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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    Computing the homology of the lambda algebra by Tangora, Martin C.

    Published 1985
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    Robotic navigation and mapping with radar

    Published 2012
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