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  • Oreilly - Machine Learning with scikit-learn and Tensorflow

    Coktum

    Oreilly - Machine Learning with scikit-learn and Tensorflow

    Oreilly - Machine Learning with scikit-learn and Tensorflow by Nick Locascio | Released March 2018...


    Learn everything you need to know about Machine learning with Tensorflow and Scikit-Learn About This VideoA comprehensive but fast and friendly guide to using Machine Learning with Scikit-Learn and Tensorflow.Get insights into essential concepts, from machine learning algorithms to deep neural networksReal-world professional projects that are a perfect blend of...

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  • Oreilly - Advanced Machine Learning with Spark 2.x

    Coktum

    Oreilly - Advanced Machine Learning with Spark 2.x

    Oreilly - Advanced Machine Learning with Spark 2.x by Emmanuel Asimadi, Tomasz Lelek | Released...


    Get in-depth knowledge of Machine Learning libraries, analytics, and prediction with Apache SparkAbout This VideoLearn the best practices involved in building, evaluating, tuning, and deploying Spark pipelines.Stream applications to provide real-time insights and predictionsyou're your business.Perform Natural Language Processing and Deep Learning in Spark.In DetailThe aim of this course is...

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  • Oreilly - Machine Learning with Core ML in iOS 11

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    Oreilly - Machine Learning with Core ML in iOS 11

    Oreilly - Machine Learning with Core ML in iOS 11 by Paul DeFilippi | Released...


    CoreML Framework: A branch of artificial intelligence based on the idea that machines should be able to learn and adapt through experienceAbout This VideoMaster the tools needed to get up and running with machine learning functionality in iOS 11 using the new Core ML framework.Efficiently and robustly build and implement...

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  • Oreilly - Improving Machine Learning with Continuous Learning Models

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    Oreilly - Improving Machine Learning with Continuous Learning Models

    Oreilly - Improving Machine Learning with Continuous Learning Models by Rahul Chandnani | Released September...


    Machine learning models are exposed to a variety of different tasks and are required to perform well on these tasks over time. However, what if the datasets change dramatically over time? For example, in an image classification system, the machine learning model was trained on one distribution yet over time,...

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  • Machine Learning with ML.Net for Absolute Beginners

    Broknote

    Machine Learning with ML.Net for Absolute Beginners

    Machine Learning with ML.Net for Absolute BeginnersVideo: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100...


    What you'll learn
    Create a Machine Learning app with C#
    Use TensorFlow or ONNX model with dotnet app
    Using Machine Learning model in ASP dotnet
    Use AutoML to generate ML dotnet model
    Requirements
    Basic C# development
    Basic concept of Machine Learning
    Visual Studio 2019
    Description
    Note: This course is designed with ML.Net 1.5.0-preview2
    Machine...

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  • DataCamp Track - Unsupervised Machine Learning with R

    Coktum

    DataCamp Track - Unsupervised Machine Learning with R

    DataCamp Track - Unsupervised Machine Learning with R https://www.datacamp.com/tracks/unsupervised-machine-learning-with-r R | 16 hours | 4...




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  • Oreilly - Machine Learning with scikit-learn LiveLessons

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    Oreilly - Machine Learning with scikit-learn LiveLessons

    Oreilly - Machine Learning with scikit-learn LiveLessons by David Mertz | Released January 2019 |...


    6+ Hours of Video Instruction Learn the main concepts and techniques used in modern machine learning through numerous examples written in scikit-learn Overview Machine Learning with scikit-learn LiveLessons is your guide to the scikit-learn library, which provides a wide range of algorithms in machine learning that are unified under a...

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  • Oreilly - Applied Machine Learning With R

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    Oreilly - Applied Machine Learning With R

    Oreilly - Applied Machine Learning With R by Eduonix | Released February 2019 | ISBN:...


    Learn machine learning and implement practical algorithms using R programmingAbout This VideoBasic knowledge of R is required to complete this courseIn DetailMachine learning is here and it is changing the way businesses work! From the Netflix recommendation engine to Google's self-driving car, it's all machine learning. Machine learning explores the...

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  • Oreilly - Hands-on Supervised Machine Learning with Python

    Coktum

    Oreilly - Hands-on Supervised Machine Learning with Python

    Oreilly - Hands-on Supervised Machine Learning with Python by Taylor Smith | Released August 2018...


    Teach your machine to think for itself!About This VideoTake a deep dive into supervised learning and grasp how a machine “learns” from dataFollow detailed and thorough coding examples to implement popular machine learning algorithms from scratch, developing a deep understanding along the wayWork your Python muscle! This course will help...

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  • Machine Learning with Watson and Azure

    Solid

    Machine Learning with Watson and Azure

    Machine Learning with Watson and Azure English | 04:45:58 | Video 720p | Subtitles Explore...


    What you'll learn Cognitive Computing and how Watson changes the game On completion of this course you would be able to develop and deploy your applications over IBM Cloud- Bluemix. and having command over the Watson services and tools available. Using Watson Visual Recognition to tag and classify visual content...

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  • SkillShare - Data Science and Machine Learning with Python - Hands On!

    Coktum

    SkillShare - Data Science and Machine Learning with Python - Hands On!

    SkillShare - Data Science and Machine Learning with Python - Hands On! Intermediate level https://www.skillshare.com/classes/Data-Science-and-Machine-Learning-with-Python-Hands-On/1263657127


    About This Class Data Scientists enjoy one of the top-paying jobs, with an average salary of $120,000 according to Glassdoor and Indeed. That's just the average! And it's not just about money - it's interesting work too! If you've got some programming or scripting experience, this course will teach you...

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  • Machine Learning with Python

    Broknote

    Machine Learning with Python

    Machine Learning with PythonVideo: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch |...


    What you'll learn
    Make predictions using linear regression, polynomial regression, and multivariate regression
    Master Machine Learning on Python
    Make robust Machine Learning models
    Have a great intuition of many Machine Learning models
    Requirements
    Python programming Language
    Description
    We will walk you step-by-step into the World of Machine Learning. With every tutorial you will...

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  • MACHINE LEARNING WITH PYTHON: Step by Step methods to master Machine Learning with Python

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    MACHINE LEARNING WITH PYTHON: Step by Step methods to master Machine Learning with Python

    MACHINE LEARNING WITH PYTHON: Step by Step methods to master Machine Learning with Pythonby Alexander...




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  • Hybrid Imaging and Visualization: Employing Machine Learning with Mathematica - Python

    Coktum

    Hybrid Imaging and Visualization: Employing Machine Learning with Mathematica - Python

    Hybrid Imaging and Visualization: Employing Machine Learning with Mathematica - Python 406 pages | English...




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  • Machine Learning with Python : Hands-on Machine Learning

    Broknote

    Machine Learning with Python : Hands-on Machine Learning

    Machine Learning with Python : Hands-on Machine LearningVideo: .mp4 (1280x720, 30 fps(r)) | Audio: aac,...


    What you'll learn
    Python installation on Windows and Linux System
    Learn Python basic Datatypes - Number, String, Boolean
    Different collection in Python
    List, Dictionary Data Type
    Create custom function in Python
    Manage Module in Python
    Three data science library Numpy, Pandas and Matplotlib for visualization
    End to end machine learning...

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  • Machine Learning with Spark and Python: Essential Techniques for Predictive Analytics

    Coktum

    Machine Learning with Spark and Python: Essential Techniques for Predictive Analytics

    Machine Learning with Spark and Python: Essential Techniques for Predictive Analytics English | ISBN-10: 1119561930...




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  • Oreilly - Beginning Machine Learning with AWS

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    Oreilly - Beginning Machine Learning with AWS

    Oreilly - Beginning Machine Learning with AWS by Ruze Richards, Kesha Williams, Jeffrey Jackovich |...


    Explore the power of cloud services for your machine learning and artificial intelligence projectsAbout This VideoExplore popular AI and ML services with their underlying algorithmsUse the AWS environment to manage your AI workflowReinforce key concepts with hands-on demos using real-world datasetsIn DetailMachine Learning with AWS is the right place to...

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  • Machine Learning with Spark and Python: Essential Techniques for Predictive Analytics, 2nd Edition

    osheemex

    Machine Learning with Spark and Python: Essential Techniques for Predictive Analytics, 2nd Edition

    Machine Learning with Spark and Python: Essential Techniques for Predictive Analytics, 2nd Edition by Michael...


    Machine Learning with Spark and Python Essential Techniques for Predictive Analytics, Second Edition simplifies ML for practical uses by focusing on two key algorithms. This new second edition improves with the addition of Spark—a ML framework from the Apache foundation. By implementing Spark, machine learning students can easily process much...

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  • Machine Learning with Python

    Solid

    Machine Learning with Python

    Machine Learning with Python English | 05:35:21 | Video 720p | Subtitles Learn Hands On


    What you'll learn Machine Learning, Deep Learning, AI and Data Science Basic Concepts Applications of ML/AI/DS and Job prospects Supervised, Un-supervised Learning Environment Setup : Anaconda and Jupyter Notebook Python package "Numpy" for numerical computation, Python package "Matplotlib" for visualization and plotting, Python package "pandas" for data analysis Basics of...

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  • TinyML: Machine Learning with TensorFlow on Arduino and Ultra-Low Power Micro-Controllers [Early Release]

    osheemex

    TinyML: Machine Learning with TensorFlow on Arduino and Ultra-Low Power Micro-Controllers [Early Release]

    TinyML: Machine Learning with TensorFlow on Arduino and Ultra-Low Power Micro-Controllers by Pete WardenEnglish |...


    Neural networks are getting smaller. Much smaller. The OK Google team, for example, has run machine learning models that are just 14 kilobytes in size—small enough to work on the digital signal processor in an Android phone. With this practical book, you'll learn about TensorFlow Lite for Microcontrollers, a miniscule...

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