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【影视】 [ CourseMega.com ] Linkedin - Learning Bubble (2022)

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~Get Your Files Here !/03 - 2. Creating a Basic Grocery List App/04 - Configure the list creation interface.mp4 31.5 MB
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【影视】 Arquiteto.de.Machine.Learning

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Modulo 1 - Fundamentos de Deep Learning/Aulas práticas I/Aula Prática 6.mp4 325.6 MB
Modulo 1 - Fundamentos de Deep Learning/Aulas práticas I/Aula Prática 1.mp4 164.0 MB
Modulo 1 - Fundamentos de Deep Learning/Aula 02 - Redes Neurais Artificiais/Aula 2.3. Funcionamento básico.mp4 161.6 MB
Módulo 4 - Aplicações de Aprendizado de Máquina para IoT/AML 3.3.mp4 154.1 MB
Módulo 4 - Aplicações de Aprendizado de Máquina para IoT/AML 1.1.mp4 138.1 MB
Modulo 1 - Fundamentos de Deep Learning/Aula 01 - Introdução ao Deep Learning/Aula 1.1. Aprendizado de máquina.mkv 136.3 MB
Modulo 2 - Processamento de Linguagem Natural/Aula 1 - Introdução/Aula 1.5. Python Tutorial.mp4 135.2 MB
Módulo 4 - Aplicações de Aprendizado de Máquina para IoT/AML 1.2.mp4 133.4 MB
Módulo 4 - Aplicações de Aprendizado de Máquina para IoT/AML 2.5.mp4 129.2 MB
Módulo 4 - Aplicações de Aprendizado de Máquina para IoT/AML 2.1.mp4 127.7 MB
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Modulo 1 - Fundamentos de Deep Learning/Aula 05 - Deep Learning - Parte I/Aula 5.2. Redes Neurais Convolucionais (CNN).mp4 108.9 MB
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Modulo 1 - Fundamentos de Deep Learning/Aula 03 - Modelos de redes neurais artificiais/Aula 3.3. Algoritmo de retropagação.mp4 105.2 MB
Módulo 4 - Aplicações de Aprendizado de Máquina para IoT/AML 3.1.mp4 102.4 MB
Módulo 4 - Aplicações de Aprendizado de Máquina para IoT/AML 4.2.mp4 101.6 MB
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【影视】 LinkedIn Learning - Node.js Testing and Code Quality (2017) [CoursesGhar]

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[2] 1. Testing and Code Quality Fundamentals [CoursesGhar.Com]/[4] Unit, integration, and functional testing.mp4 16.5 MB
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[3] 2. Finding Errors with Linting [CoursesGhar.Com]/[8] Cleaning code in Atom with ESLint.mp4 10.9 MB
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[5] 4. Replacing and Inspecting with Stubs, Spies, and Mocks [CoursesGhar.Com]/[4] Stubbing a custom response.mp4 10.1 MB
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【影视】 Python for Machine Learning with Numpy, Pandas & Matplotlib

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01 Python Crash Course/001 Python Crash Course.mp4 1.7 GB
02 Numpy & Pandas for Data Science/001 Numpy & Pandas _ Part 1.mp4 968.9 MB
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【影视】 [ TutPig.com ] Skillshare - The Complete Learning Master Class - Learn How To Actually Learn

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【影视】 [ DevCourseWeb.com ] Udemy - Learning Complete PCB Design - From an Idea to a Product

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~Get Your Files Here !/5. PCB Design Example/3. ESP-12F (ESP8266) Relay Board PCB.mp4 912.8 MB
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【影视】 [ DevCourseWeb.com ] Udemy - Master Deep Learning A Step-by-Step Guide for 2022

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【影视】 [ TutGator.com ] Linkedin - Learning Windows Subsystem for Linux (2022)

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【影视】 GetFreeCourses.Co-Udemy-Machine Learning & Data Science A-Z Hands-on Python 2021

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6. Supervised Learning - Regression/8. Random Forest Model Development.mp4 258.2 MB
5. Supervised Learning - Classification/1. Supervised Learning Models - Introduction and Understanding the Data.mp4 245.1 MB
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3. Data Preprocessing/6. Missing Values2.mp4 230.0 MB
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3. Data Preprocessing/3. Statistics2.mp4 217.6 MB
6. Supervised Learning - Regression/6. Polynomial Linear Regression Model Development.mp4 217.0 MB
2. Machine Learning Useful Packages (Libraries)/13. Visualization with Matplotlib2.mp4 215.2 MB
2. Machine Learning Useful Packages (Libraries)/11. Pandas4.mp4 212.9 MB
2. Machine Learning Useful Packages (Libraries)/14. Visualization with Matplotlib3.mp4 198.0 MB
3. Data Preprocessing/12. Normalization.mp4 195.9 MB
5. Supervised Learning - Classification/13. Model Evaluation - Calculating with Python.mp4 182.5 MB
6. Supervised Learning - Regression/4. Evaluation Metrics - Implementation.mp4 167.7 MB
3. Data Preprocessing/1. Reading and Modifying a Dataset.mp4 162.1 MB
2. Machine Learning Useful Packages (Libraries)/6. NumPy5.mp4 160.1 MB
7. Unsupervised Learning - Clustering Techniques/10. Hierarchical Clustering Model Development.mp4 153.0 MB
2. Machine Learning Useful Packages (Libraries)/15. Visualization with Matplotlib4.mp4 149.9 MB
5. Supervised Learning - Classification/3. k-NN Model Development.mp4 147.5 MB
2. Machine Learning Useful Packages (Libraries)/7. NumPy6.mp4 141.0 MB
8. Hyper Parameter Optimization (Model Tuning)/4. k-NN - Model Tuning.mp4 140.1 MB

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