Old Search System: Machine Learning with Jupyter Notebooks in Amazon




  • Oreilly - Amazon Machine Learning

    Oreilly - Amazon Machine Learning by Asli Bilgin | Released March 2019 | ISBN: 013485067X...


    More Than 3 Hours of Video Instruction Overview Amazon Machine Learning LiveLessons is designed to provide a solid foundational understanding of the data preparation and evaluation that's necessary to run predictive analysis with Machine Learning models. The course covers the concepts necessary to understand Amazon Machine Learning and teaches the...


  • Machine Learning Nanodegree

    Machine Learning Nanodegree Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 48000...


    What you'll learn استخدم بايثون لعلوم البيانات والتعلم الآلي تنفيذ خوارزميات تعلم الآلة ريادة الأعمال بأستخدام الذكاء الاصطناعي كيفية صنع بيئة عمل أفتراضية للتأهيل لسوق العمل العقلية التحليلة NumPy for Numerical Data تعلم ال Pandas for Data Analysis تعلم ال SciKit-Learn for Machine Learning Tasks استخدام ال K-Means Clustering Logistic...


  • Machine Learning en Python y Matlab: mapas auto-organizados

    Machine Learning en Python y Matlab: mapas auto-organizadosGenre: eLearning | MP4 | Video: h264, 1280x720...


    What you\'ll learn
    Aprender a programar Machine Learning en Python
    Aprender a programar Machine Learning en MATLAB
    Bases de Machine Learning y Data Science
    Qué es el aprendizaje no supervisado
    Qué es un mapa auto-organizado o Self Organizing Map (SOM/SOFM)
    Cómo funcionan las redes neuronales
    Cómo implementar un algoritmo de Machine Learning para agrupar conjuntos según determinadas...


  • AWS Machine Learning Certification In ONE HOUR

    AWS Machine Learning Certification In ONE HOUR MP4 | Video: h264, 1280x720 | Audio: AAC,...


    AWS Machine Learning Certification In ONE HOUR!



  • Complete Machine Learning 11 in 1 course

    Complete Machine Learning 11 in 1 course MP4 | Video: h264, 1280x720 | Audio: AAC,...


    Machine Learning: Beginner to Expert What you'll learn: Machine Learning Supervised learning Unsupervised learning Model and cost function Parameter learning Linear algebra Linear regression Linear regression with multiple variables Gradient descent Features and polynomial regression Computing parameters analytically Logistic regression Classification and representation Hypothesis representation Decision boundary Multi class classification...