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  • Oreilly - Hands-On Problem Solving for Machine Learning

    Oreilly - Hands-On Problem Solving for Machine Learning by Rudy Lai | Publisher: Packt Publishing...


    Intuitive strategies to deal with messy data, weak models, and leaky machine-learning pipelinesAbout This VideoResolve challenges in supervised learning: misbehaving classifiers and wrong regressors.Practical solutions for building production-ready machine-learning pipelines that don't breakIntuition-driven practical tour through machine learning, packed with step-by-step instructions, working examples, and helpful advice.In DetailMachine learning is...


  • Oreilly - Machine Learning - Linear and Logistic Regression

    Oreilly - Machine Learning - Linear and Logistic Regression by Loonycorn | Publisher: Total Training...


    Build robust models in Excel, R, and Python! This Linear and Logistic Regression online training course will teach you how to build robust linear models and do logistic regressions that will stand up to scrutiny when you apply them to real world situations. You will learn about topics such as:...


  • Oreilly - Machine Learning Fundamentals with Amazon SageMaker on AWS

    Oreilly - Machine Learning Fundamentals with Amazon SageMaker on AWS by Asli Bilgin | Publisher:...


    Sneak PeekThe Sneak Peek program provides early access to Pearson video products and is exclusively available to Safari subscribers. Content for titles in this program is made available throughout the development cycle, so products may not be complete, edited, or finalized, including video post-production editing. Introduction Machine Learning Fundamentals with...


  • Oreilly - AWS Certified Machine Learning-Specialty (ML-S)

    Oreilly - AWS Certified Machine Learning-Specialty (ML-S) by Noah Gift | Publisher: Pearson IT Certification...


    More Than 7 Hours of Video Instruction Overview This course covers the essentials of Machine Learning on AWS and prepares a candidate to sit for the AWS Machine Learning-Specialty (ML-S) Certification exam. Four main categories are covered: Data Engineering, EDA (Exploratory Data Analysis), Modeling, and Operations. Description This 7+ hour...


  • Udemy - The Complete Supervised Machine Learning Models in Python

    Udemy - The Complete Supervised Machine Learning Models in Python https://www.udemy.com/course/the-complete-supervised-machine-learning-models-in-python/ In this course, you...


    Description In this course, you are going to learn all types of Supervised Machine Learning Models implemented in Python. The Math behind every model is very important. Without it, you can never become a Good Data Scientist. That is the reason, I have covered the Math behind every model in...


  • Lynda - Leveraging Cloud-Based Machine Learning on Azure: Real-World Applications

    Leveraging Cloud-Based Machine Learning on Azure: Real-World Applications English | 1h 31m | Video 720p...


    Topics include: AI processing and knowledge creation on Azure The use of AI systems in cloud computing The basics of the Microsoft Azure IaaS public cloud AI use cases in finance, law enforcement, and education Building, training, and deploying AML models How Azure Search (AS) works Designing your AI system...


  • 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...


  • Oreilly - Hands-On Machine Learning Using Amazon SageMaker

    Oreilly - Hands-On Machine Learning Using Amazon SageMaker by Pavlos Mitsoulis Ntompos | Publisher: Packt...


    Convert your Machine Learning project ideas into highly scalable solutions instantly with Amazon SageMakerAbout This VideoTrain, evaluate, and deploy Machine Learning and Deep Learning models without the need to code custom solutionsFocus on real-world applications of Machine Learning and Deep Learning by leveraging SageMakerUse SageMaker to build reproducible and testable...


  • Python Data Science: The Ultimate Crash Course, Tips, and Tricks to Learn Data Analytics, Machine Learning

    Python Data Science: The Ultimate Crash Course, Tips, and Tricks to Learn Data Analytics, Machine...


    Data science is one of the biggest buzzwords in the business right now, garnering the attention of companies through various industries in the world. And for good reason. With the help of this process, it is easier than ever to reach your customers, figure out the next product to bring...


  • AI Crash Course: A fun and hands-on introduction to machine learning, reinforcement learning

    AI Crash Course: A fun and hands-on introduction to machine learning, reinforcement learning, deep learning,...


    Through his best-selling video courses, Hadelin de Ponteves has taught hundreds of thousands of people to write AI software. Now, for the first time, his hands-on, energetic approach is available as a book. Taking a graduated approach that starts with the basics before easing readers into more complicated formulas and...


  • Lynda - Building a Recommendation System with Python Machine Learning & AI

    Lynda - Building a Recommendation System with Python Machine Learning & AI Discover how to...


    Table of ContentsIntroduction1. Simple Approaches to Recommendation Systems2. Machine Learning Recommendation SystemsConclusion


  • Lynda - Building Recommender Systems with Machine Learning and AI

    Lynda - Building Recommender Systems with Machine Learning and AI Automated recommendations are everywhere: Netflix,...


    Table of Contents1. Getting Started2. Introduction to Python3. Evaluating Recommender Systems4. A Recommender Engine Framework5. Content-Based Filtering6. Neighborhood-Based Collaborative Filtering7. Matrix Factorization Methods8. Introduction to Deep Learning9. Deep Learning for Recommender Systems10. Scaling It Up11. Real-World Challenges of Recommender Systems12. Case Studies13. Hybrid ApproachesConclusion


  • Lynda - Azure Machine Learning Development: 3 Deploying and Managing Models

    Lynda - Azure Machine Learning Development: 3 Deploying and Managing Models Azure Machine Learning Studio...


    Table of ContentsIntroduction1. Azure Machine Learning Basics2. Deploying Services3. Using Machine Learning with API ManagementConclusion


  • Lynda - Azure Machine Learning Development: 1 Basic Concepts

    Lynda - Azure Machine Learning Development: 1 Basic Concepts Data science is opening up exciting...


    Table of ContentsIntroduction1. The Landscape of AI2. What Is Machine Learning?3. Data Science for Absolute Beginners4. Machine Learning AlgorithmsConclusion


  • Lynda - Azure Machine Learning Development: 2 Learning ML Studio

    Lynda - Azure Machine Learning Development: 2 Learning ML Studio You don't need to have...


    Table of ContentsIntroduction1. Introduction to Machine Learning Studio2. Create and use an experiment3. Deploy and Use the ExperimentConclusion


  • Lynda - AWS Machine Learning by Example

    Lynda - AWS Machine Learning by Example Take a deeper dive into machine learning with...


    Table of ContentsIntroduction1. Introduction to Machine Learning2. Binary Model3. Multiclass Model4. Regression Model5. Overview of Other AWS CapabilitiesConclusion


  • Lynda - Artificial Intelligence Foundations: Machine Learning

    Lynda - Artificial Intelligence Foundations: Machine Learning Machine learning is one of the liveliest areas...


    Table of ContentsIntroduction1. What Is Machine Learning?2. Different Ways a Machine Learns3. Popular Machine Learning Algorithms4. Applying Algorithms5. Common ChallengesConclusion


  • Lynda - Applied Machine Learning: Algorithms

    Lynda - Applied Machine Learning: Algorithms In the first installment of the Applied Machine Learning...


    Table of ContentsIntroduction1. Review of Foundations2. Logistic Regression3. Support Vector Machines4. Multi-layer Perceptron5. Random Forest6. Boosting7. SummaryConclusion


  • Lynda - Applied Machine Learning: Foundations

    Lynda - Applied Machine Learning: Foundations Anyone who can write basic Python is capable of...


    Table of ContentsIntroduction1. Machine Learning Basics2. Exploratory Data Analysis and Data Cleaning3. Measuring Success4. Optimizing a Model5. End-to-End PipelineConclusion


  • Python for Data Science and Machine Learning Bootcamp (Updated 9/2019)

    Python for Data Science and Machine Learning Bootcamp English | 22:29:08 | Video 720p |...


    What you'll learn Use Python for Data Science and Machine Learning Use Spark for Big Data Analysis Implement Machine Learning Algorithms Learn to use NumPy for Numerical Data Learn to use Pandas for Data Analysis Learn to use Matplotlib for Python Plotting Learn to use Seaborn for statistical plots Use...