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【影视】 [Udemy] Apache Kafka Series - Kafka Connect Hands-on Learning (2021) [En]

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08 Writing your own Kafka Connector/011 Source Task.mp4 218.1 MB
09 Advanced Concepts/001 Setting up Kafka Connect in Production (1_2).mp4 215.6 MB
08 Writing your own Kafka Connector/005 Config Definitions.mp4 163.0 MB
07 Kafka Connect Sink - Hands On/004 Kafka Connect REST API.mp4 148.0 MB
06 Kafka Connect Source - Hands On/007 Twitter Source Connector - Distributed Mode - Part 2.mp4 110.9 MB
08 Writing your own Kafka Connector/009 Writing our GitHub API HTTP Client.mp4 104.9 MB
07 Kafka Connect Sink - Hands On/005 JDBC Sink Connector - Distributed Mode.mp4 98.5 MB
08 Writing your own Kafka Connector/007 Writing a schema.mp4 87.8 MB
06 Kafka Connect Source - Hands On/003 FileStream Source Connector - Standalone Mode - Part 2.mp4 87.5 MB
09 Advanced Concepts/002 Setting up Kafka Connect in Production (2_2).mp4 80.1 MB
08 Writing your own Kafka Connector/014 Deploying our Connector on the Landoop cluster.mp4 76.5 MB
08 Writing your own Kafka Connector/006 Connector Class.mp4 73.7 MB
07 Kafka Connect Sink - Hands On/003 ElasticSearch Sink Connector - Distributed Mode - Part 2.mp4 71.0 MB
08 Writing your own Kafka Connector/008 Data Model for our Objects.mp4 70.7 MB
06 Kafka Connect Source - Hands On/004 FileStream Source Connector - Distributed Mode.mp4 68.3 MB
06 Kafka Connect Source - Hands On/006 Twitter Source Connector - Distributed Mode - Part 1.mp4 67.4 MB
04 Setup and Launch Kafka Connect Cluster/004 Docker on Linux (Ubuntu as an example).mp4 64.5 MB
08 Writing your own Kafka Connector/003 Description of the GitHub Issues API.mp4 56.8 MB
08 Writing your own Kafka Connector/012 Building and running a Connector in Standalone Mode.mp4 55.4 MB
01 Course Introduction/004 About Your Instructor.mp4 54.4 MB

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【影视】 [FreeAllCourse.Com] Udemy - Python for Data Science and Machine Learning Bootcamp

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25 Neural Nets and Deep Learning/151 Tensorboard.mp4 151.2 MB
25 Neural Nets and Deep Learning/144 Keras Project Solutions - Dealing with Missing Data.mp4 150.6 MB
25 Neural Nets and Deep Learning/136 TF Regression Code Along - Exploratory Data Analysis.mp4 143.6 MB
25 Neural Nets and Deep Learning/147 Keras Project Solutions - Data PreProcessing.mp4 131.0 MB
25 Neural Nets and Deep Learning/141 TF Classification - Dealing with Overfitting and Evaluation.mp4 116.7 MB
25 Neural Nets and Deep Learning/145 Keras Project Solutions - Dealing with Missing Data - Part Two.mp4 101.5 MB
26 Big Data and Spark with Python/158 EC2 Instance Set-Up.mp4 90.7 MB
25 Neural Nets and Deep Learning/146 Keras Project Solutions - Categorical Data.mp4 89.5 MB
25 Neural Nets and Deep Learning/134 TF Syntax Basics - Part Two - Creating and Training the Model.mp4 88.4 MB
14 Introduction to Machine Learning/078 Evaluating Performance - Classification Error Metrics.mp4 86.7 MB
25 Neural Nets and Deep Learning/143 TensorFlow 2.0 Project Notebook Overview.mp4 84.4 MB
02 Environment Set-Up/004 Python Environment Setup.mp4 80.1 MB
25 Neural Nets and Deep Learning/137 TF Regression Code Along - Exploratory Data Analysis - Continued.mp4 79.9 MB
25 Neural Nets and Deep Learning/130 Cost Functions and Gradient Descent.mp4 79.7 MB
18 K Nearest Neighbors/097 KNN Project Solutions.mp4 74.3 MB
26 Big Data and Spark with Python/163 RDD Transformations and Actions.mp4 74.2 MB
26 Big Data and Spark with Python/160 PySpark Setup.mp4 74.0 MB
25 Neural Nets and Deep Learning/139 TF Regression Code Along - Model Evaluation and Predictions.mp4 72.3 MB
25 Neural Nets and Deep Learning/135 TF Syntax Basics - Part Three - Model Evaluation.mp4 67.9 MB
25 Neural Nets and Deep Learning/150 Keras Project Solutions - Model Evaluation.mp4 66.2 MB

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【影视】 [FreeCoursesOnline.Me] [Packt] Learning GitLab [FCO]

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01.Why GitLab and How to Install it/0103.Installing GitLab with Docker.mp4 67.0 MB
03.DevOps Continuous Integration (CI)/0301.Create a Pipeline.mp4 57.9 MB
03.DevOps Continuous Integration (CI)/0302.Work with Branches.mp4 57.5 MB
01.Why GitLab and How to Install it/0102.Why Should I Use GitLab.mp4 40.8 MB
04.DevOps Continuous Deployment and Cycle Analytics (CD and CA)/0403.Measure the Times of Each Stage and the Total Time.mp4 37.1 MB
02.Creating Your First Project, and Managing it with Issue Board/0204.Templates for Your Issues and Using Milestones.mp4 35.2 MB
07.GitLab Pages – Show Your Project to the World/0702.Define Pipelines to Your Page.mp4 34.8 MB
04.DevOps Continuous Deployment and Cycle Analytics (CD and CA)/0402.Deploy Your Application.mp4 30.8 MB
01.Why GitLab and How to Install it/0101.The Course Overview.mp4 29.6 MB
02.Creating Your First Project, and Managing it with Issue Board/0205.Configuring the Issue Board.mp4 23.0 MB
02.Creating Your First Project, and Managing it with Issue Board/0201.Create Your First Project.mp4 22.1 MB
06.GitLab with Prometheus/0601.Configure GitLab to Receive Prometheus Data.mp4 21.8 MB
05.Configuring Prometheus/0501.Install Prometheus in Your Clusters.mp4 20.1 MB
05.Configuring Prometheus/0502.Understanding Prometheus Query Language.mp4 16.0 MB
06.GitLab with Prometheus/0603.Set Up Alerts for Prometheus Metrics.mp4 13.1 MB
03.DevOps Continuous Integration (CI)/0303.Configure Pipeline Notifications.mp4 12.4 MB
04.DevOps Continuous Deployment and Cycle Analytics (CD and CA)/0401.Define Environments.mp4 12.4 MB
07.GitLab Pages – Show Your Project to the World/0701.Create the First Page.mp4 11.5 MB
07.GitLab Pages – Show Your Project to the World/0703.Define a Domain.mp4 10.4 MB
02.Creating Your First Project, and Managing it with Issue Board/0203.Define Labels.mp4 7.5 MB

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【影视】 [Lynda] Applied Machine Learning - Foundations

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[Lynda] Applied Machine Learning - Foundations/3.2. Exploratory Data Analysis and Data Cleaning/12.Exploring continuous features.mp4 25.4 MB
[Lynda] Applied Machine Learning - Foundations/6.5. End-to-End Pipeline/35.Final model selection and evaluation on test set.mp4 25.3 MB
[Lynda] Applied Machine Learning - Foundations/1.Introduction/01.Leveraging machine learning.mp4 20.1 MB
[Lynda] Applied Machine Learning - Foundations/6.5. End-to-End Pipeline/34.Evaluate results on validation set.mp4 19.4 MB
[Lynda] Applied Machine Learning - Foundations/6.5. End-to-End Pipeline/33.Tune hyperparameters.mp4 19.0 MB
[Lynda] Applied Machine Learning - Foundations/3.2. Exploratory Data Analysis and Data Cleaning/13.Plotting continuous features.mp4 18.7 MB
[Lynda] Applied Machine Learning - Foundations/3.2. Exploratory Data Analysis and Data Cleaning/15.Exploring categorical features.mp4 15.9 MB
[Lynda] Applied Machine Learning - Foundations/3.2. Exploratory Data Analysis and Data Cleaning/14.Continuous data cleaning.mp4 15.8 MB
[Lynda] Applied Machine Learning - Foundations/6.5. End-to-End Pipeline/32.Fit a basic model using cross-validation.mp4 15.6 MB
[Lynda] Applied Machine Learning - Foundations/3.2. Exploratory Data Analysis and Data Cleaning/16.Plotting categorical features.mp4 15.0 MB
[Lynda] Applied Machine Learning - Foundations/6.5. End-to-End Pipeline/29.Clean continuous features.mp4 14.5 MB
[Lynda] Applied Machine Learning - Foundations/4.3. Measuring Success/19.Split data for train_validation_test set.mp4 13.6 MB
[Lynda] Applied Machine Learning - Foundations/2.1. Machine Learning Basics/07.Why Python.mp4 12.7 MB
[Lynda] Applied Machine Learning - Foundations/3.2. Exploratory Data Analysis and Data Cleaning/17.Categorical data cleaning.mp4 11.6 MB
[Lynda] Applied Machine Learning - Foundations/6.5. End-to-End Pipeline/30.Clean categorical features.mp4 11.1 MB
[Lynda] Applied Machine Learning - Foundations/2.1. Machine Learning Basics/09.Demos of machine learning in real life.mp4 11.1 MB
[Lynda] Applied Machine Learning - Foundations/6.5. End-to-End Pipeline/31.Split data into train_validation_test set.mp4 10.2 MB
[Lynda] Applied Machine Learning - Foundations/5.4. Optimizing a Model/26.Hyperparameter tuning.mp4 10.1 MB
[Lynda] Applied Machine Learning - Foundations/4.3. Measuring Success/18.Why do we split up our data.mp4 9.9 MB
[Lynda] Applied Machine Learning - Foundations/4.3. Measuring Success/20.What is cross-validation.mp4 9.5 MB

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【影视】 Calculus for Machine Learning

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[TutsNode.com] - Calculus for Machine Learning/21 - 3.8 Exercises.mp4 689.8 MB
[TutsNode.com] - Calculus for Machine Learning/33 - 5.5 Fitting a Line with Machine Learning.mp4 612.1 MB
[TutsNode.com] - Calculus for Machine Learning/36 - 6.2 Partial Derivative Exercises.mp4 596.2 MB
[TutsNode.com] - Calculus for Machine Learning/35 - 6.1 Derivatives of Multivariate Functions.mp4 592.7 MB
[TutsNode.com] - Calculus for Machine Learning/46 - 7.4 Gradient of Mean Squared Error.mp4 544.2 MB
[TutsNode.com] - Calculus for Machine Learning/12 - 2.5 Exercises.mp4 467.2 MB
[TutsNode.com] - Calculus for Machine Learning/56 - 8.6 Exercises.mp4 441.0 MB
[TutsNode.com] - Calculus for Machine Learning/53 - 8.3 Indefinite Integrals.mp4 410.5 MB
[TutsNode.com] - Calculus for Machine Learning/38 - 6.4 Geometrical Exercises.mp4 383.5 MB
[TutsNode.com] - Calculus for Machine Learning/32 - 5.4 Directed Acyclic Graph of a Line Equation.mp4 345.4 MB
[TutsNode.com] - Calculus for Machine Learning/41 - 6.7 Chain Rule Exercises.mp4 342.8 MB
[TutsNode.com] - Calculus for Machine Learning/44 - 7.2 Partial Derivatives of Quadratic Cost.mp4 331.8 MB
[TutsNode.com] - Calculus for Machine Learning/6 - 1.4 Modern Applications.mp4 331.1 MB
[TutsNode.com] - Calculus for Machine Learning/14 - 3.1 Delta Method.mp4 293.9 MB
[TutsNode.com] - Calculus for Machine Learning/3 - 1.1 Differential versus Integral Calculus.mp4 291.9 MB
[TutsNode.com] - Calculus for Machine Learning/5 - 1.3 Calculus of the Infinitesimals.mp4 281.0 MB
[TutsNode.com] - Calculus for Machine Learning/43 - 7.1 Single-Point Regression.mp4 262.9 MB
[TutsNode.com] - Calculus for Machine Learning/37 - 6.3 Geometrical Examples.mp4 226.2 MB
[TutsNode.com] - Calculus for Machine Learning/52 - 8.2 The Confusion Matrix and ROC Curve.mp4 216.7 MB
[TutsNode.com] - Calculus for Machine Learning/4 - 1.2 A Brief History.mp4 214.4 MB

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【影视】 Deep Learning with TensorFlow 2.0

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[TutsNode.com] - Deep Learning with TensorFlow 2.0/14 Appendix_ Linear Algebra Fundamentals/104 Why is Linear Algebra Useful_.mp4 151.3 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/01 Welcome! Course introduction/001 Meet your instructors and why you should study machine learning_.mp4 110.9 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/13 Business case/085 Preprocessing the data.mp4 88.4 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/13 Business case/082 Exploring the dataset and identifying predictors.mp4 69.5 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/13 Business case/090 Setting an early stopping mechanism.mp4 52.2 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/14 Appendix_ Linear Algebra Fundamentals/096 Linear Algebra and Geometry.mp4 52.2 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/14 Appendix_ Linear Algebra Fundamentals/103 Dot Product of Matrices.mp4 51.8 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/12 The MNIST example/074 Preprocess the data - shuffle and batch the data.mp4 43.6 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/12 The MNIST example/078 Learning.mp4 42.9 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/02 Introduction to neural networks/016 N-parameter gradient descent.mp4 41.4 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/03 Setting up the working environment/023 Installing TensorFlow 2.mp4 40.6 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/02 Introduction to neural networks/010 The linear model. Multiple inputs and multiple outputs.mp4 40.1 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/14 Appendix_ Linear Algebra Fundamentals/101 Transpose of a Matrix.mp4 39.9 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/05 TensorFlow - An introduction/035 Model layout - inputs, outputs, targets, weights, biases, optimizer and loss.mp4 36.4 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/14 Appendix_ Linear Algebra Fundamentals/095 Scalars and Vectors.mp4 35.5 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/14 Appendix_ Linear Algebra Fundamentals/094 What is a Matrix_.mp4 35.2 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/05 TensorFlow - An introduction/031 TensorFlow outline.mp4 35.2 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/14 Appendix_ Linear Algebra Fundamentals/099 Addition and Subtraction of Matrices.mp4 34.2 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/03 Setting up the working environment/018 Why Python and why Jupyter_.mp4 33.6 MB
[TutsNode.com] - Deep Learning with TensorFlow 2.0/13 Business case/089 Learning and interpreting the result.mp4 32.7 MB

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【影视】 [UdemyCourseDownloader] Complete Data Science & Machine Learning Bootcamp – Python 3

收录时间:2021-04-07 文档个数:377 文档大小:15.2 GB 最近下载:2025-05-15 人气:304 磁力链接

04. Introduction to Optimisation and the Gradient Descent Algorithm/8. [Python] - Advanced Functions and the Pitfalls of Optimisation (Part 1).mp4 305.5 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/6. [Python] - Loops and the Gradient Descent Algorithm.mp4 301.4 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/12. Model Evaluation and the Confusion Matrix.mp4 264.1 MB
05. Predict House Prices with Multivariable Linear Regression/32. Build a Valuation Tool (Part 3) Docstrings & Creating your own Python Module.mp4 256.0 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/10. Understanding the Learning Rate.mp4 248.1 MB
03. Python Programming for Data Science and Machine Learning/10. [Python] - Module Imports.mp4 243.4 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/9. [Python] - Tuples and the Pitfalls of Optimisation (Part 2).mp4 229.7 MB
05. Predict House Prices with Multivariable Linear Regression/14. Working with Seaborn Pairplots & Jupyter Microbenchmarking Techniques.mp4 224.8 MB
11. Use Tensorflow to Classify Handwritten Digits/12. Different Model Architectures Experimenting with Dropout.mp4 224.1 MB
08. Test and Evaluate a Naive Bayes Classifier Part 3/6. Visualising the Decision Boundary.mp4 215.3 MB
08. Test and Evaluate a Naive Bayes Classifier Part 3/11. A Naive Bayes Implementation using SciKit Learn.mp4 204.6 MB
04. Introduction to Optimisation and the Gradient Descent Algorithm/11. How to Create 3-Dimensional Charts.mp4 202.9 MB
10. Build an Artificial Neural Network to Recognise Images using Keras & Tensorflow/9. Use Regularisation to Prevent Overfitting Early Stopping & Dropout Techniques.mp4 200.8 MB
03. Python Programming for Data Science and Machine Learning/18. How to Make Sense of Python Documentation for Data Visualisation.mp4 179.8 MB
05. Predict House Prices with Multivariable Linear Regression/11. Visualising Correlations with a Heatmap.mp4 176.8 MB
03. Python Programming for Data Science and Machine Learning/17. [Python] - Objects - Understanding Attributes and Methods.mp4 164.4 MB
11. Use Tensorflow to Classify Handwritten Digits/11. Name Scoping and Image Visualisation in Tensorboard.mp4 162.9 MB
03. Python Programming for Data Science and Machine Learning/9. [Python & Pandas] - Dataframes and Series.mp4 160.7 MB
05. Predict House Prices with Multivariable Linear Regression/26. Residual Analysis (Part 2) Graphing and Comparing Regression Residuals.mp4 160.4 MB
05. Predict House Prices with Multivariable Linear Regression/27. Making Predictions (Part 1) MSE & R-Squared.mp4 160.1 MB

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【影视】 [FreeCourseSite.com] Udemy - Master statistics and machine learning intuition math code

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06 Descriptive statistics/039 Code_ data from different distributions.mp4 318.3 MB
16 Clustering and dimension-reduction/193 Code_ dbscan.mp4 302.7 MB
12 Correlation/140 Code_ correlation matrix.mp4 296.5 MB
06 Descriptive statistics/047 Code_ Computing dispersion.mp4 279.5 MB
10 The t-test family/126 Code_ permutation testing.mp4 253.0 MB
16 Clustering and dimension-reduction/189 Code_ k-means clustering.mp4 241.9 MB
12 Correlation/137 Code_ correlation coefficient.mp4 225.1 MB
10 The t-test family/119 Code_ Two-samples t-test.mp4 221.9 MB
12 Correlation/152 Code_ Kendall correlation.mp4 193.4 MB
13 Analysis of Variance (ANOVA)/163 Code_ One-way ANOVA (independent samples).mp4 181.3 MB
14 Regression/175 Code_ Multiple regression.mp4 179.6 MB
08 Probability theory/098 Code_ Law of Large Numbers in action.mp4 174.0 MB
10 The t-test family/122 Code_ Signed-rank test.mp4 170.0 MB
10 The t-test family/116 Code_ One-sample t-test.mp4 165.9 MB
08 Probability theory/092 Code_ sampling variability.mp4 162.7 MB
11 Confidence intervals on parameters/130 Code_ compute confidence intervals by formula.mp4 156.9 MB
13 Analysis of Variance (ANOVA)/156 ANOVA intro, part1.mp4 144.6 MB
07 Data normalizations and outliers/070 Code_ z-score for outlier removal.mp4 143.9 MB
08 Probability theory/081 Code_ compute probabilities.mp4 143.8 MB
11 Confidence intervals on parameters/132 Code_ bootstrapping confidence intervals.mp4 143.4 MB

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【影视】 Learning Assembly Language

收录时间:2021-04-07 文档个数:131 文档大小:562.0 MB 最近下载:2025-05-15 人气:4822 磁力链接

[TutsNode.com] - Learning Assembly Language/04 Coding in Assembler_ II/001 Calling subprograms.mp4 31.4 MB
[TutsNode.com] - Learning Assembly Language/03 Coding in Assembler_ I/002 Understanding registers and memory.mp4 24.7 MB
[TutsNode.com] - Learning Assembly Language/03 Coding in Assembler_ I/005 The move and exchange instructions.mp4 24.7 MB
[TutsNode.com] - Learning Assembly Language/03 Coding in Assembler_ I/008 Arithmetic operators.mp4 24.1 MB
[TutsNode.com] - Learning Assembly Language/05 Completing the Enigmatic Encryptor/003 Ciphering the data.mp4 23.3 MB
[TutsNode.com] - Learning Assembly Language/05 Completing the Enigmatic Encryptor/002 Reading and writing the Enigmatic configuration.mp4 22.0 MB
[TutsNode.com] - Learning Assembly Language/03 Coding in Assembler_ I/004 Using data structures.mp4 19.3 MB
[TutsNode.com] - Learning Assembly Language/04 Coding in Assembler_ II/010 Reading data files.mp4 19.0 MB
[TutsNode.com] - Learning Assembly Language/02 Preparing Your Assembler Environment/003 Setting up GoAsm in the IDE.mp4 18.5 MB
[TutsNode.com] - Learning Assembly Language/05 Completing the Enigmatic Encryptor/004 Leveraging the x64 AES instructions.mp4 18.4 MB
[TutsNode.com] - Learning Assembly Language/03 Coding in Assembler_ I/007 Logical or bitwise operators.mp4 18.3 MB
[TutsNode.com] - Learning Assembly Language/03 Coding in Assembler_ I/009 Controlling the assembler flow.mp4 18.1 MB
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