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Evaluate the impact of an AI application used in the real world. (case study) : Working with Flower Images: Case Study - Part 7
From the section: CNN-Industry Live Project: Playing With Real World Natural Images. This section includes a live project of working with flower images. CNN-Industry Live Project: Playing with Real World Natural Images: Working with...
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Modify a data structure : Remove Tail
From the section: Linked Lists. This section introduces Linked Lists and "Node" constructor functions along with Big O Notation and calculating the runtime of a function Linked Lists: Remove Tail
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Create a list : The List Contains Challenge
From the section: Lists. This section focuses on lists and the various functions of the list. This video presents the List Contains Challenge.
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Implement different search algorithms : BST - Deleting nodes with 2 children
From the section: Algorithms - Search and abstract data structures. This section is about Algorithms. You will learn about Bisection, Binary section etc. Delete scenario 3 - deleting nodes with both left and right child nodes
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Implement different search algorithms : BST from scratch - Search
From the section: Algorithms - Search and abstract data structures. This section is about Algorithms. You will learn about Bisection, Binary section etc. Add a search method to the BST class
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Implement a decision tree : Decision Trees
From the section: Mastering Kaggle Titanic Competition Using Random Forest. The module will cover Random Forest and thus cover decision trees and will encourage the student to make a Kaggle submission and introduce them to the online...
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Evaluate a machine learning model : Assignment – Getting Better Test Sample Results by Measuring Model Performance
From the section: Improving Model Accuracy. We start with reviewing previous day’s assignment by looking at an ideal solution and results. This module takes a pause from introducing any new model and focuses on improving the models and...
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Evaluate a machine learning model : Understanding the Results
From the section: Improving Model Accuracy. We start with reviewing previous day’s assignment by looking at an ideal solution and results. This module takes a pause from introducing any new model and focuses on improving the models and...
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Introduction to Creating Your Own Platform Game in Scratch
In this 14-part tutorial series you will learn everything about how to design and code your very own fully working platform game using the block coding system in Scratch. You’ll learn how to draw and animate sprites, design your own...
Packt
Evaluate the impact of privacy issues, cyberattacks, and malware on your AI application : The Future of AI Attacks
From the section: Summary and Future Trends. In this section, you will draw everything together, learn the approach for testing AI solutions, discuss the future of attacks and explore the latest attack examples. The aim of this video is...
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Predictive Analytics with TensorFlow 3.5: Getting Started with Tensorflow – Linear Regression and Beyond
In this example, we will take a closer look at TensorFlow's and TensorBoard's main concepts and try to do some basic operations to get you started. The model we want to implement simulates the linear regression. • Create data into 2D space
Packt
Develop an AI system to solve a real-world problem : Training, Testing, and Validation
From the section: Predicting Sales with Supervised Learning. In this section, learners will use their first machine learning techniques, including Support Vector Machines and Artificial Neural Networks. These techniques will be applied...
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Learning R for Data Visualization (Video 13)
R is on the rise and showing itself as a powerful option in many software development domains. At its core, R is a statistical programming language that provides impressive tools for data mining and analysis, creating high-level...
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Learning R for Data Visualization (Video 11)
R is on the rise and showing itself as a powerful option in many software development domains. At its core, R is a statistical programming language that provides impressive tools for data mining and analysis, creating high-level...
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Ensemble Machine Learning Techniques 6.2: Combining Different Models Together
This video aims to make the user comfortable with creating ensembles of different other ensembles. • We will see that its possible to combine two ensemble models • We will write a python code to test the result of using an ensemble of...
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Ensemble Machine Learning Techniques 1.3: Setting Up Python
In this video, we will set up our environment so that we can use python to build ensemble learning models. • Learn about Anaconda and Python • See how to install the Anaconda distribution of Python • Learn about Jupyter notebook
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Advanced Computer Vision Projects 1.3: Google Brain im2txt Captioning Model
In this video, we look at the architecture behind Google Brains im2txt model. • View TensorFlow research Github page • Understand the connection between Inception for classification and LSTMs for caption generation
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Java 11 Programming for Beginners 5.4: Using the Date, Time, and Money API
Date/Time and Money are some of the trickier pieces of data to format. We introduce some APIs that greatly help the average Joe to navigate through the complicated waters of proper formatting. • Use the Date/Time API and improve the...
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Java 11 Programming for Beginners 2.1: Understanding Mindset Prerequisites
This video tells you what mindset is required from here onwards. • A quick chat on the main mindset prerequisites • Brief description of the example problem
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Mastering Tableau 2018.1, Second Edition 8.1: Using Reference Lines
See how to add reference lines in canvas. • Understand the different types of reference lines • Add different reference lines to the canvas
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Learning D3.JS 5.0 1.1: The Course Overview
This video provides an overview of the entire course.
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Bug Bounty Program Certification 7.4: About Website Bug Bounty Program
In this video, we will learn about web bug bounty program. • Web bug bounty overview • Explore various major web attacks listing • Explanation of major web attacks
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Bug Bounty Program Certification 6.4: Create a Trojan and Infect Machines in Network
This video explores Trojan creation and infect machines. • Download and install Zirikatu framework in Kali Linux • Create a Trojan file using Zirikatu and transfer it to victim machine • Penetrate victim using the payload
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Cloud Native Development on Azure with Java 5.3: Scale and Autoscale the Application
In this video, we will learn how to scale and autoscale our application, which we deployed to Azure Kubernetes cluster. • Clone the source code for metrics server from the Kubernetes GitHub repository • Autoscale the app with more replicas