Search Results - (((((((want OR mantis) OR dantis) OR carter) OR cantor) OR anne) OR start) OR martin) algorithms.
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A guide to creating a successful algorithmic trading strategy
Published 2016Full text (MFA users only)
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Discrete Algebraic Methods : Arithmetic, Cryptography, Automata and Groups
Published 2016Full text (MFA users only)
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Natural Language Processing with Python Quick Start Guide : Going from a Python Developer to an Effective Natural Language Processing Engineer.
Published 2018Table 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
Published 2018Table 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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Mastering machine learning with R : advanced prediction, algorithms, and learning methods with R 3.x
Published 2017Full text (MFA users only)
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Adventures in Raspberry Pi
Published 2017Table 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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Turing's vision : the birth of computer science
Published 2016Full text (MFA users only)
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Intelligence emerging : adaptivity and search in evolving neural systems
Published 2015Full text (MFA users only)
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Introduction to identity-based encryption
Published 2008Full text (MFA users only)
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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
Published 2016Table 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
Published 2013Full text (MFA users only)
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Computing the homology of the lambda algebra
Published 1985Full text (MFA users only)
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Radial basis functions : theory and implementations
Published 2003Full text (MFA users only)
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Robotic navigation and mapping with radar
Published 2012Full text (MFA users only)
Electronic eBook