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AWS Serverless Microservices with Patterns and Best Practices - AWS as an Application Development Framework
This video explains AWS as an application development framework. This clip is from the chapter "Thinking AWS Serverless for Event-Driven Microservices Architecture" of the series "AWS Serverless Microservices with Patterns and Best...
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Google Docs Fundamentals - Translate Features
A quick overview on Google Docs translate feature.
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Snowflake - Build and Architect Data Pipelines Using AWS - Snowflake - Different Billing Components
This video demonstrates about the different billing components in Snowflake. This clip is from the chapter "Introduction to Snowflake and AWS" of the series "Snowflake - Build and Architect Data Pipelines Using AWS".This section focuses...
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AWS Serverless Microservices with Patterns and Best Practices - Main Features of API Gateway
This video explores the main features of API Gateway. This clip is from the chapter "API Gateway RESTful API Development with Synchronous Lambda Event Sources" of the series "AWS Serverless Microservices with Patterns and Best...
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Deep Learning - Deep Neural Network for Beginners Using Python - Theory of Perceptron
In this video, we will discuss about the theory of perceptron. This clip is from the chapter "Basics of Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will cover the...
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Deep Learning - Deep Neural Network for Beginners Using Python - Testing (NN Implementation)
In this video, you will learn how to test our neural network. This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will dive deeper into deep...
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Deep Learning - Deep Neural Network for Beginners Using Python - Splitting the Data (NN Implementation)
In this video, you will learn how to implement splitting the data in our neural network. This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we...
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Deep Learning - Deep Neural Network for Beginners Using Python - Sigmoid Function
In this video, you will learn about the Sigmoid function. This clip is from the chapter "Basics of Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will cover the basics of...
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Deep Learning - Deep Neural Network for Beginners Using Python - N-Dimensional Space
In this video, we will discuss about N-dimensional space. This clip is from the chapter "Basics of Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will cover the basics of...
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Deep Learning - Deep Neural Network for Beginners Using Python - L1 and L2 Regularization
In this video, we will discuss L1 and L2 regularization. This clip is from the chapter "Optimizations" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will cover optimizations of a...
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Deep Learning - Deep Neural Network for Beginners Using Python - Implementing Basic Perceptron
In this video, you will learn how to implement the basic perceptron in our notebook. This clip is from the chapter "Basics of Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section,...
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Deep Learning - Deep Neural Network for Beginners Using Python - Final Project Part 4
In this part, we will work on predict, accuracy, and neural network functions. This clip is from the chapter "Final Project" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this last section, we will be...
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Deep Learning - Deep Neural Network for Beginners Using Python - Final Project Part 2
In this part, we will work on the initialization functions and the feedforward. This clip is from the chapter "Final Project" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this last section, we will be...
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Deep Learning - Deep Neural Network for Beginners Using Python - Coding Perceptron Algo (Perceptron Step)
In this video, we will work on the perceptron algorithm and learn how to code for perceptron step. This clip is from the chapter "Basics of Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In...
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Complete SAS Programming Guide - Learn SAS and Become a Data Ninja - Feature Engineering
This video explains feature engineering. This clip is from the chapter "SAS Predictive Modeling, Evaluation Metrics" of the series "Complete SAS Programming Guide - Learn SAS and Become a Data Ninja".This section focuses on SAS...
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Deep Learning - Deep Neural Network for Beginners Using Python - Neural Network Architecture
In this video, you will learn about neural network architecture. This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will dive deeper into deep...
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Deep Learning - Deep Neural Network for Beginners Using Python - Layers and DEEP Networks
In this video, you will learn about layers and DEEP networks. This clip is from the chapter "Deep Learning" of the series "Deep Learning - Deep Neural Network for Beginners Using Python".In this section, we will dive deeper into deep...
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Data Science and Machine Learning (Theory and Projects) A to Z - Features in Data Science: Why Dimensionality Reduction
In this video, we will understand why dimensionality reduction is needed. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning...
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Data Science and Machine Learning (Theory and Projects) A to Z - Features in Data Science: Features Dimensions
In this video, we will cover features dimensions. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to...
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Data Science and Machine Learning (Theory and Projects) A to Z - Features in Data Science: Feature Space
In this video, we will cover feature space. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to Z".In...
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Data Science and Machine Learning (Theory and Projects) A to Z - Features in Data Science: Feature Dimensionality Reduction Methods
In this video, we will cover feature dimensionality reduction methods. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning...
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Data Science and Machine Learning (Theory and Projects) A to Z - Feature Selection: Wrapper Methods
In this video, we will cover wrapper methods. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and Projects) A to...
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Data Science and Machine Learning (Theory and Projects) A to Z - Feature Selection: Similarity Based Methods Introduction
In this video, we will cover similarity based methods introduction. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory...
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Data Science and Machine Learning (Theory and Projects) A to Z - Feature Selection: Similarity Based Methods Criteria
In this video, we will cover similarity based methods criteria. This clip is from the chapter "Machine Learning: Feature Engineering and Dimensionality Reduction with Python" of the series "Data Science and Machine Learning (Theory and...