Pluralsight Path. Machine Learning Literacy (2021)

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文件数目：523个文件
文件大小：1.69 GB
收录时间：2022-05-07
访问次数：3
相关内容：PluralsightPathMachineLearningLiteracy2021
文件meta
  • A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/6. Implementing Your Regression Solution/09. Demo - Deploying and Testing the Model - Part 1.mp4
    18.61 MB
  • B2. Creating Machine Learning Models (Janani Ravi, 2019)/5. Understanding and Implementing Clustering Model/09. Demo - Agglomerative Clustering.mp4
    18.2 MB
  • C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/5. Deploying Machine Learning Models to Google AI Platform/09. Demo - Monitoring Deployed Models Using Stackdriver.mp4
    18.04 MB
  • A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/6. Implementing Feature Selection/2. Feature Correlations.mp4
    17.28 MB
  • C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/6. Deploying Deep Learning Models to AWS SageMaker/08. Demo - Distributed Training Using the SageMaker Tensor Flow Estimator.mp4
    17.27 MB
  • A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/6. Implementing Feature Selection/7. Feature Selection Using Wrapper Methods.mp4
    16.17 MB
  • C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/3. Deploying Machine Learning Models to Flask/03. Demo - Serializing and Deserializing Models Using JSON.mp4
    15.96 MB
  • A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/6. Implementing Your Regression Solution/10. Demo - Deploying and Testing the Model - Part 2.mp4
    15.76 MB
  • B2. Creating Machine Learning Models (Janani Ravi, 2019)/5. Understanding and Implementing Clustering Model/08. Demo - Clustering Using Labeled Data.mp4
    15.61 MB
  • C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/6. Deploying Deep Learning Models to AWS SageMaker/07. Demo - Tensor Flow Script for Distributed Training.mp4
    15.59 MB
  • A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/4. Transforming Continuous and Categorical Data/07. Label Encoding and One-hot Encoding.mp4
    15.24 MB
  • B2. Creating Machine Learning Models (Janani Ravi, 2019)/3. Understanding and Implementing Regression Models/03. Demo - Linear Regression Using Numeric Features.mp4
    15.19 MB
  • B1. Designing a Machine Learning Model (Janani Ravi, 2019)/5. Building Simple Machine Learning Solutions/09. Clustering Using K-means.mp4
    15.06 MB
  • A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/3. Implementing Data Cleaning and Transformation/03. Cleaning Data.mp4
    15.02 MB
  • A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/3. Implementing Data Cleaning and Transformation/06. Univariate Feature Imputation Using the Simple Imputer.mp4
    14.99 MB
  • A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/3. Implementing Data Cleaning and Transformation/05. Building a Regression Model.mp4
    14.85 MB
  • C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/6. Deploying Deep Learning Models to AWS SageMaker/09. Demo - Deploying the Model for Predictions.mp4
    14.75 MB
  • C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/6. Deploying Deep Learning Models to AWS SageMaker/05. Demo - Creating a SageMaker Notebook Instance.mp4
    14.59 MB
  • B1. Designing a Machine Learning Model (Janani Ravi, 2019)/7. Building Ensemble Solutions and Neural Network Solutions/6. Regression Using Neural Networks.mp4
    14.34 MB
  • A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/4. Understanding the Overall Data Trends/06. Demo - Descriptive Stats - Part One.mp4
    14.14 MB
  • A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/6. Implementing Feature Selection/6. Univariate Feature Selection Using Chi2 and ANOVA.mp4
    14.09 MB
  • C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/4. Deploying Machine Learning Models to Serverless Cloud Environments/5. Demo - Deploying a Model to Google Cloud Functions.mp4
    13.53 MB
  • B2. Creating Machine Learning Models (Janani Ravi, 2019)/4. Understanding and Implementing Classification Models/07. Demo - Building Classification Models Using Multiple Techniques.mp4
    13.24 MB
  • B1. Designing a Machine Learning Model (Janani Ravi, 2019)/5. Building Simple Machine Learning Solutions/11. Dimensionality Reduction Using Manifold Learning.mp4
    13.19 MB
  • C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/3. Deploying Machine Learning Models to Flask/09. Demo - Deploying a Model for Prediction Using Flask.mp4
    13.1 MB
  • A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/6. Implementing Feature Selection/5. Features Selection Using Missing Values Threshold and Variance Threshold.mp4
    13.08 MB
  • B1. Designing a Machine Learning Model (Janani Ravi, 2019)/3. Choosing the Right Machine Learning Problem/3. Supervised and Unsupervised Learning.mp4
    13.05 MB
  • A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/3. Implementing Data Cleaning and Transformation/02. Handling Missing Values.mp4
    12.87 MB
  • B2. Creating Machine Learning Models (Janani Ravi, 2019)/4. Understanding and Implementing Classification Models/09. Demo - Performing Multiclass Classification on Text Data.mp4
    12.84 MB
  • A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/4. Understanding the Overall Data Trends/04. Univariant Numerical Analysis.mp4
    12.54 MB
  • C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/5. Deploying Machine Learning Models to Google AI Platform/05. Demo - Scheduling an Evaluation Job to Sample Prediction Instances.mp4
    12.34 MB
  • A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/exercise.7z
    12.27 MB
  • A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/4. Transforming Continuous and Categorical Data/04. Normalizing and Binarizing Features.mp4
    12.24 MB
  • A2. Preparing Data for Machine Learning (Janani Ravi, 2019)/3. Implementing Data Cleaning and Transformation/07. Multivariate Feature Imputation Using the Iterative Imputer.mp4
    12.14 MB
  • C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/3. Deploying Machine Learning Models to Flask/05. Demo - Checkpointing Models and Resuming Training from a Checkpoint.mp4
    11.91 MB
  • B2. Creating Machine Learning Models (Janani Ravi, 2019)/4. Understanding and Implementing Classification Models/04. Demo - Building and Training a Binary Classification Model.mp4
    11.85 MB
  • A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/4. Understanding the Overall Data Trends/09. Demo - Data Visualization - Part One.mp4
    11.67 MB
  • C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/3. Deploying Machine Learning Models to Flask/06. Demo - Serializing Pre-processors and Models.mp4
    11.36 MB
  • B1. Designing a Machine Learning Model (Janani Ravi, 2019)/7. Building Ensemble Solutions and Neural Network Solutions/2. Classification Using Hard Voting and Soft Voting.mp4
    11.33 MB
  • B2. Creating Machine Learning Models (Janani Ravi, 2019)/2. Understanding Approaches to Machine Learning/03. Rule-based vs. ML-based Learning.mp4
    11.32 MB
  • A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/2. Getting Your Feet Ready to Run/5. Learning Types.mp4
    11.29 MB
  • C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/4. Deploying Machine Learning Models to Serverless Cloud Environments/4. Demo - Uploading Pickle Files to Cloud Storage.mp4
    11.28 MB
  • A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/5. Making Your Data Ready for the ML Model/03. Data Scaling - The Problem.mp4
    11.24 MB
  • B1. Designing a Machine Learning Model (Janani Ravi, 2019)/3. Choosing the Right Machine Learning Problem/4. Reinforcement Learning.mp4
    10.86 MB
  • C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/5. Deploying Machine Learning Models to Google AI Platform/08. Demo - Invoking the Predictions API Using cURL.mp4
    10.67 MB
  • A1. Building Your First Machine Learning Solution (Mohammed Osman, 2021)/4. Understanding the Overall Data Trends/08. Data Visualization.mp4
    10.63 MB
  • B1. Designing a Machine Learning Model (Janani Ravi, 2019)/5. Building Simple Machine Learning Solutions/04. Simple Regression Using Analytical and Machine Learning Techniques.mp4
    10.61 MB
  • C1. Deploying Machine Learning Solutions (Janani Ravi, 2019)/3. Deploying Machine Learning Models to Flask/04. Demo - Using Pickle and Joblib to Serialize and Deserialize Models.mp4
    10.57 MB
  • B1. Designing a Machine Learning Model (Janani Ravi, 2019)/5. Building Simple Machine Learning Solutions/07. Classification Using Logistic Regression.mp4
    10.48 MB
  • B2. Creating Machine Learning Models (Janani Ravi, 2019)/3. Understanding and Implementing Regression Models/09. Demo - Multiple Types of Regression.mp4
    10.48 MB
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