Old Search System: Machine Learning with Jupyter Notebooks in Amazon



  • Advanced Machine Learning with Spark 2.x

    nagy

    Advanced Machine Learning with Spark 2.x

    Advanced Machine Learning with Spark 2.xMP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch...


    The aim of this course is to provide a practical understanding of advanced Machine Learning algorithms in Apache Spark to make predictions and recommendation and derive insights from large distributed datasets. This course starts with an introduction to the key concepts and data types that are fundamental to understanding distributed...

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  • Fundamentals of Machine Learning with scikit-learn

    nagy

    Fundamentals of Machine Learning with scikit-learn

    Fundamentals of Machine Learning with scikit-learnMP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch...


    As the amount of data continues to grow at an almost incomprehensible rate, being able to understand and process data is becoming a key differentiator for competitive organizations. Machine Learning applications are everywhere, from self-driving cars, spam detection, document searches, and trading strategies, to speech recognition. This makes machine learning...

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  • Hands-On Machine Learning with Python and Scikit-Learn

    nagy

    Hands-On Machine Learning with Python and Scikit-Learn

    Hands-On Machine Learning with Python and Scikit-LearnMP4 | Video: AVC 1280x720 | Audio: AAC 44KHz...


    Machine learning and artificial intelligence are the new big data—at least as far as buzzwords in the workplace go. The scikit-learn library is one of the most popular platforms for everyday Machine Learning and data science because it is built upon Python, a fully featured programming language. This course will...

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  • Mastering Machine Learning with R - Second Edition

    Broknote

    Mastering Machine Learning with R - Second Edition

    Cory Lesmeister, "Mastering Machine Learning with R - Second Edition"English | ISBN: 1787287475 | 2017...



    Key Features
    Understand and apply machine learning methods using an extensive set of R packages such as XGBOOST
    Understand the benefits and potential pitfalls of using machine learning methods such as Multi-Class Classification and Unsupervised Learning
    Implement advanced concepts in machine learning with this example-rich guide
    Book Description
    This book will teach you advanced techniques...

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  • Machine Learning With R Cookbook - 110 Recipes for Building Powerful Predictive Models with R

    Broknote

    Machine Learning With R Cookbook - 110 Recipes for Building Powerful Predictive Models with R

    Chiu (David Chiu) Yu-Wei, "Machine Learning With R Cookbook - 110 Recipes for Building Powerful...



    Key Features
    Apply R to simplify predictive modeling with short and simple code
    Use machine learning to solve problems ranging from small to big data
    Build a training and testing dataset from the churn dataset, applying different classification methods
    Book Description
    The R language is a powerful open source functional programming language. At its core,...

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  • Machine Learning with Go

    nagy

    Machine Learning with Go

    Machine Learning with GoMP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration:...


    The mission of this course is to turn you into a productive, innovative data analyst who can leverage Go to build robust and valuable applications. To this end, the course clearly introduces the technical aspects of building predictive models in Go, but also helps you understand how machine learning workflows...

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  • Machine Learning with Scikit-learn

    nagy

    Machine Learning with Scikit-learn

    Machine Learning with Scikit-learnMP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration:...


    Machine learning is the buzzword bringing computer science and statistics together to build smart and efficient models. Using powerful algorithms and techniques offered by machine learning, you can automate any analytical model. This course examines a variety of machine learning models including popular machine learning algorithms such as k-nearest neighbors,...

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  • Machine Learning with C++

    nagy

    Machine Learning with C++

    Machine Learning with C++MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration:...


    ML has become a fundamental part of the 21st century; from Netflix recommendations to fraud detection, ML is ever- present in our daily lives. At its roots, ML effectively applies statistics and pattern recognition, we will use these ideas to help solve a range of modern-day problems. C++ is a...

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  • Mastering Machine Learning with MATLAB

    nagy

    Mastering Machine Learning with MATLAB

    Mastering Machine Learning with MATLABMP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch |...


    MATLAB is the language of choice for many researchers and mathematics experts for Machine Learning. This video course will help you build a foundation in Machine Learning using MATLAB. You'll start by performing data fitting, pattern recognition, and clustering analysis. Then, you'll explore feature selection and extraction techniques for dimensionality...

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  • Getting Started with Machine Learning with R

    nagy

    Getting Started with Machine Learning with R

    Getting Started with Machine Learning with RMP4 | Video: AVC 1280x720 | Audio: AAC 44KHz...


    Machine learning is a subfield of computer science that gives computers the ability to learn without being explicitly programmed. It explores the study and construction of algorithms that can learn from, and make predictions on, data. The R language is widely used among statisticians and data miners to develop statistical...

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  • Machine Learning with Open CV and Python

    nagy

    Machine Learning with Open CV and Python

    Machine Learning with Open CV and PythonMP4 | Video: AVC 1280x720 | Audio: AAC 44KHz...


    OpenCV is a library of programming functions mainly aimed at real-time computer vision. This course will show you how machine learning is great choice to solve real-word computer vision problems and how you can use the OpenCV modules to implement the popular machine learning concepts.
    The video will teach you how...

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  • Data Science and Machine Learning with Python - Hands On

    nagy

    Data Science and Machine Learning with Python - Hands On

    Data Science and Machine Learning with Python - Hands OnMP4 | Video: AVC 1280x720 |...


    The job of a data scientist is one of the most lucrative jobs out there today – it involves analyzing large amounts of data, and gathering actionable business insights from it using a variety of tools. This course will help you take your first steps in the world of data...

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  • Machine Learning Techniques and Industry Applications

    speedzodiac

    Machine Learning Techniques and Industry Applications

    Machine Learning Techniques and Industry Applicationsby Srivastava PramodEnglish | 2024 | ISBN: 9798369352717 | 327...



    In today\'s rapidly evolving world, the exponential growth of data poses a significant challenge. As data volumes increase, traditional methods of analysis and decision-making become inadequate. This surge in data complexity calls for innovative solutions that efficiently extract meaningful insights. Machine learning has emerged as a powerful tool to address...

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  • MLOps with Red Hat OpenShift: A cloud-native approach to machine learning operations

    speedzodiac

    MLOps with Red Hat OpenShift: A cloud-native approach to machine learning operations

    MLOps with Red Hat OpenShiftby Ross Brigoli, Faisal MasoodEnglish | 2024 | ISBN: 1805120239 |...


    Build and manage MLOps pipelines with this practical guide to using Red Hat OpenShift Data Science, unleashing the power of machine learning workflows
    Key Features
    Grasp MLOps and machine learning project lifecycle through concept introductions
    Get hands on with provisioning and configuring Red Hat OpenShift Data Science
    Explore model training, deployment,...

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  • MATLAB for Machine Learning: Unlock the power of deep learning for swift and enhanced results, 2nd Edition

    speedzodiac

    MATLAB for Machine Learning: Unlock the power of deep learning for swift and enhanced results, 2nd Edition

    MATLAB for Machine Learningby Giuseppe CiaburroEnglish | 2024 | ISBN: 1835087698 | 374 pages |...


    Master MATLAB tools for creating machine learning applications through effective code writing, guided by practical examples showcasing the versatility of machine learning in real-world applications
    Key Features
    Work with the MATLAB Machine Learning Toolbox to implement a variety of machine learning algorithms
    Evaluate, deploy, and operationalize your custom models, incorporating bias...

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  • Machine Learning, Data Science and Generative AI with Python

    Gamystyle

    Machine Learning, Data Science and Generative AI with Python

    Last updated 4/2024Duration: 18h50m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch |...


    What you'll learn
    Build artificial neural networks with Tensorflow and Keras
    Implement machine learning at massive scale with Apache Spark's MLLib
    Classify images, data, and sentiments using deep learning
    Make predictions using linear regression, polynomial regression, and multivariate regression
    Data Visualization with MatPlotLib and Seaborn
    Understand reinforcement learning - and how to build a Pac-Man bot
    Classify...

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  • Complete Machine Learning Course With Python

    Gamystyle

    Complete Machine Learning Course With Python

    Published 4/2024MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHzLanguage: English | Size: 8.35...


    What you'll learn
    Around 15+ Machine learning algorithms explanation with different datasets and 15+ assignment for practice
    Supervised and Unsupervised learning models,PRINCIPLE COMPONENT ANALYSIS(PCA)
    Solve any problem in your business, job or personal life with powerful Machine Learning models
    Train machine learning algorithms to predict house prices, identify handwriting, detect cancer cells & more
    Requirements
    Basic...

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  • Basic Customization Of Openai\'S Machine Learning Models

    LENYA

    Basic Customization Of Openai\'S Machine Learning Models

    https://www.udemy.com/course/basic-customization-of-openais-machine-learning-modelsMastering Web Data Integration: Customizing OpenAI Models with Python for Enhanced Machine Learning


    What you\'ll learn
    Learn to scrape web data in text form using Python
    Explore techniques for processing web data to prepare it for OpenAI machine learning

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  • Metaheuristics for Machine Learning: Algorithms and Applications

    speedzodiac

    Metaheuristics for Machine Learning: Algorithms and Applications

    Metaheuristics for Machine Learningby Kanak Kalita, Narayanan Ganesh and S. BalamuruganEnglish | 2024 | ISBN:...



    METAHEURISTICS for MACHINE LEARNING
    The book unlocks the power of nature-inspired optimization in machine learning and presents a comprehensive guide to cutting-edge algorithms, interdisciplinary insights, and real-world applications.
    The field of metaheuristic optimization algorithms is experiencing rapid growth, both in academic research and industrial applications. These nature-inspired algorithms, which draw on phenomena...

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  • Internet of Things-Based Machine Learning in Healthcare: Technology and Applications

    speedzodiac

    Internet of Things-Based Machine Learning in Healthcare: Technology and Applications

    Internet of Things-Based Machine Learning in Healthcare: Technology and Applicationsby Edited by Prasenjit DeyEnglish |...


    The Internet of Medical Things (IoMT) is a system that collects data from patients with the help of different sensory inputs, e.g., an accelerometer, electrocardiography, and electroencephalography. This text presents both theoretical and practical concepts related to the application of machine learning and Internet of Things (IoT) algorithms in analyzing...

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