Old Search System: Machine Learning with Jupyter Notebooks in Amazon




  • Python for Machine Learning: The Complete Beginner\'s Course

    Python for Machine Learning: The Complete Beginner's Course https://www.udemy.com/course/python-for-machine-learning-beginners Learn to create machine learning algorithms...


    What you'll learn: Learn Python programming and Scikit learn applied to machine learning regression Understand the underlying theory behind simple and multiple linear regression techniques Learn to solve regression problems (linear regression and logistic regression) Learn the theory and the practical implementation of logistic regression using sklearn Learn the mathematics...


  • Machine Learning Engineering in Action (Final Release)

    Machine Learning Engineering in Action (Final Release) English | 2022 | ISBN: ‎ 1617298719, 978-1617298714...


    Field-tested tips, tricks, and design patterns for building Machine Learning projects that are deployable, maintainable, and secure from concept to production. Machine Learning Engineering in Action lays out an approach to building deployable, maintainable production machine learning systems. You'll adopt software development standards that deliver better code management, and make...


  • Machine Learning and AI Foundations: Prediction, Causation, and Statistical Inference

    Machine Learning and AI Foundations: Prediction, Causation, and Statistical Inference https://www.linkedin.com/learning/machine-learning-and-ai-foundations-prediction-causation-and-statistical-inference


    In the world of data science, machine learning and statistics are often lumped together, but they serve different purposes, and being versed in one doesn't mean expertise in the other. In fact, applying a statistical approach to a machine learning problem, or vice versa, can lead to confusion more than...


  • 28 Real World Data Science & Machine Learning Projects 2022

    28 Real World Data Science & Machine Learning Projects 2022 https://www.udemy.com/course/build-real-world-machine-learning-projects Practical Data Science Course:...


    What you'll learn: Learn to use NumPy for Numerical Data Learn to use Pandas for Data Analysis Clean your input data to remove outliers Master Machine Learning and use it on the job Learn how to use Scikit-learn to apply powerful machine learning algorithms. Create supervised machine learning algorithms to...


  • Machine Learning and Big Data with kdb+/q

    Machine Learning and Big Data with Kdb+/qby Novotny, Jan;Bilokon, Paul A.;Galiotos, Aris;Deleze, Frederic;English | 2020...






  • Machine Learning for Financial Risk Management with Python

    Machine Learning for Financial Risk Management with Pythonby Abdullah Karasan;English | 2022 | ISBN: ‎...






  • Machine Learning for Auditors: Automating Fraud Investigations Through Artificial Intelligence (True PDF, EPUB)

    Machine Learning for Auditors: Automating Fraud Investigations Through Artificial Intelligence (True PDF, EPUB)English | 2022...






  • Applied Machine Learning: Ensemble Learning

    Applied Machine Learning: Ensemble Learning https://www.linkedin.com/learning/applied-machine-learning-ensemble-learning Do you want to grow your skills as a...


    Review the basics of the machine learning pipeline to find out where ensemble learners sit within it. Learn about the underlying theory that drives ensemble learners, covering examples of ensemble learning in Python and then implementing models of your own. Explore concepts like boosting, bagging, and stacking, and how to...


  • Machine Learning and Artificial Intelligence Security Risk: Categorizing Attacks and Failure Modes

    Machine Learning and Artificial Intelligence Security Risk: Categorizing Attacks and Failure Modes https://www.linkedin.com/learning/machine-learning-and-artificial-intelligence-security-risk-categorizing-attacks-and-failure-modes From predicting...


    Learn about intentional failures caused by attacks and unintentional failures caused by design flaws and implementation issues. Security threats and privacy risks are serious, but with the right tools and preparation you can set yourself up to reduce them. Diana explains some of the most effective approaches and techniques for...