mp4 Master Data Structures for Optimal Solutions in Python
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Hot:828 Size:431.57 MB Created:2017-09-27 19:20:33 File Count:25
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01 Controlling the Limits of Numeric Data/77849_01_01_SC11_numeric.mov 7.74 MB
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01 Introduction to the course/001 Introduction to the course..mp4 24.36 MB
02 All about Stack/002 Introduction of Stack.mp4 7.26 MB
02 All about Stack/003 Some practical example where Stack is used..mp4 9.74 MB
02 All about Stack/004 Basic Algorithm for Stack data structure..mp4 12.65 MB
02 All about Stack/005 Implementation of Stack..mp4 15.13 MB
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02 Modeling and Machine Learning/002 Validating Models.mp4 112.59 MB
02 Modeling and Machine Learning/015 Evaluating Models.mp4 141.37 MB
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02 Modeling and Machine Learning/005 Linear Regression background.mp4 159 MB
01 Course Overview/002 Walk-through of a data science project.mp4 46.88 MB
01 Course Overview/003 Starting with R and data.mp4 93.44 MB
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№ 1 Введение в нейронные сети/Занятие № 1 Введение в нейронные сети НС PRO июль 2020.mp4 1.49 GB
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03 - Meet the Nexus Family!.mp4 126.92 MB
20 - The UCS B-Series Family.mp4 91.34 MB
15 - Fibre Channel and More Fibre Channel.mp4 82.04 MB
11 - Virtualizing Servers.mp4 78.88 MB
22 - Connecting B-Series Servers.mp4 69.77 MB
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01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/001 Outline - what did you learn previously and what will you learn in this course.mp4 4.64 MB
01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/002 Where does this course fit into your deep learning studies.mp4 5.99 MB
01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/003 How to Succeed in this Course.mp4 8.78 MB
01 Outline the MNIST dataset and Linear Logistic Regression Benchmark/004 Where to get the MNIST dataset and Establishing a Linear Benchmark.mp4 11.11 MB
02 Gradient Descent Full vs Batch vs Stochastic/005 What are full batch and stochastic gradient descent.mp4 5.83 MB
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Section 1 Intro to Course and Python/001 Course Intro.mp4 11.48 MB
Section 1 Intro to Course and Python/002 Resources for Learning Python.mp4 3.74 MB
Section 10 Machine Learning/009 Logistic Regression Part 4.mp4 97.94 MB
Section 10 Machine Learning/013 Support Vector Machines - Part 2.mp4 85.84 MB
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2. Getting Started/10. Max-Width & Min-width Explained.mp4 18.11 MB
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3. Taking the Form Designing to Next Level/12. Making the Form More Responsive.mp4 17.53 MB
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01. Introduction/01_01-Introduction.mp4 9.19 MB
02. Configure Advanced vSphere HA Features/02_01-Introduction.mp4 7.62 MB
02. Configure Advanced vSphere HA Features/02_02-Configure a Network for Use with HA Heartbeats.mp4 13.65 MB
02. Configure Advanced vSphere HA Features/02_03-Implement vSphere HA on a Virtual SAN Cluster.mp4 11.44 MB
02. Configure Advanced vSphere HA Features/02_04-Configure Virtual Machine Component Protection VMCP Settings.mp4 11.54 MB