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From 0 to 1 Data Structures & Algorithms in Java - The Directed And Undirected Graph
Learn how to model using either Directed or Undirected graphs. This clip is from the chapter "Graphs" of the series "From 0 to 1: Data Structures & Algorithms in Java".The author introduces you to various types of graphs such as directed...
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From 0 to 1 Data Structures & Algorithms in Java - The Binary Heap - Logically A Tree Really An Array
Learn the most efficient way to implement the Binary Heap using an array. This clip is from the chapter "Heaps" of the series "From 0 to 1: Data Structures & Algorithms in Java".In this section, we learn about Heap data structure, build...
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Java Programming for Complete Beginners - Java 16 - Step 05 - Need for ConcurrentMap
In this session, we will learn about need for ConcurrentMap. This clip is from the chapter "More Concurrency with Concurrent Collections and Atomic Operations" of the series "Java Programming for Complete Beginners - Java 16".In this...
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Practical Data Science using Python - History of Machine Learning
This video explains the history of machine learning. This clip is from the chapter "Machine Learning" of the series "Practical Data Science Using Python".This section explains machine learning.
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Data Structures and Algorithms The Complete Masterclass - Performance Analysis
This video explains the concept of performance analysis in data structure. This clip is from the chapter "Algorithm: Sorting Elementary" of the series "Data Structures and Algorithms: The Complete Masterclass".This section introduces you...
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Data Structures and Algorithms The Complete Masterclass - Memory
This video explains memory in data structures. This clip is from the chapter "Essential Concepts - I" of the series "Data Structures and Algorithms: The Complete Masterclass".This is the first part of the two-part section that introduces...
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From 0 to 1 Data Structures & Algorithms in Java - Heapify!
Learn to ensure that when we add an element or remove an element from an existing heap, so that the heap property and shape property is maintained. This clip is from the chapter "Heaps" of the series "From 0 to 1: Data Structures &...
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Spring Framework Master Class - Java Spring the Modern Way - Step 13 - Autowiring in Depth - @Qualifier Annotation
This video demonstrates how to work with the @Qualifier annotation. This clip is from the chapter "Spring Level 2 - Spring Framework in Depth" of the series "Spring Framework Master Class - Java Spring the Modern Way".This section...
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Data Structures and Algorithms The Complete Masterclass - Why Are Tries Important?
This video explains the importance of tries. This clip is from the chapter "Data Structures – Tries" of the series "Data Structures and Algorithms: The Complete Masterclass".This section introduces you to the concept of a trie, which is...
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Data Structures and Algorithms The Complete Masterclass - Static versus Dynamic Array - Common Operations – Part 3
This is the third part of the three-part video that highlights the difference between static and dynamic array. This clip is from the chapter "Data Structure - Arrays" of the series "Data Structures and Algorithms: The Complete...
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From 0 to 1 Data Structures & Algorithms in Java - Insertion Sort
Let's see how exactly it works and why it's preferred in many cases. This clip is from the chapter "Sorting and Searching" of the series "From 0 to 1: Data Structures & Algorithms in Java".Learn about various sorting and searching...
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From 0 to 1 Data Structures & Algorithms in Java - Heap Sort Phase I-Heapify
The Heap Sort uses a heap to transform an unsorted array into a sorted array. This clip is from the chapter "Revisiting Sorting - The Heap Sort" of the series "From 0 to 1: Data Structures & Algorithms in Java".The Heap Sort uses a heap...
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Practical Data Science using Python - Random Forest - Ensemble Techniques Bagging and Random Forest
This video introduces you to ensemble techniques bagging and random forest. This clip is from the chapter "Ensemble Methods – Random Forest" of the series "Practical Data Science Using Python".This section explains classification using...
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Data Structures and Algorithms The Complete Masterclass - Trie - II
This is the second part of the two-part video that explains how to implement a trie. This clip is from the chapter "Data Structures – Tries" of the series "Data Structures and Algorithms: The Complete Masterclass".This section introduces...
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Data Structures and Algorithms The Complete Masterclass - Designing a Linked List – Part 3
This is the third part of the three-part video that explains how to add a node to any position. This clip is from the chapter "Question 4: Design of a Linked List" of the series "Data Structures and Algorithms: The Complete...
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Mastering Swift 2 Programming (Video 52)
Swift 2 is a multi-paradigm programming language that has expressive features familiar to modern functional languages, and does not forget the object-oriented features of Objective-C. Things that took a block of code in Objective-C are...
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SSL Complete Guide 2021: HTTP to HTTPS - MD5 Hashing Algorithm
In this video, we'll learn about the MD5 hashing algorithm. This clip is from the chapter "Encryption and Hashing Overview" of the series "SSL Complete Guide 2021: HTTP to HTTPS".This section will help you learn about encryption and...
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Web Security: Common Vulnerabilities And Their Mitigation - A little bit about hashing
Credentials Management: A little bit about hashing This clip is from the chapter "Credentials Management" of the series "Web Security: Common Vulnerabilities And Their Mitigation".In this section, very common source of security breaches...
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Practical Data Science using Python - Decision Tree - Hyperparameter Tuning
This video explains decision tree - hyperparameter tuning. This clip is from the chapter "Classification using decision trees" of the series "Practical Data Science Using Python".This section explains classification using decision trees.
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Deep Learning CNN Convolutional Neural Networks with Python - Convergence Animation
This video explores convergence animation. This clip is from the chapter "Deep Neural Network Overview" of the series "Deep Learning CNN: Convolutional Neural Networks with Python".This section focuses on the overview of the deep neural...
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Python In Practice - 15 Projects to Master Python - What Is Artificial Intelligence?
This video explains Artificial Intelligence.
This clip is from the chapter "Artificial Intelligence" of the series "Python in Practice - 15 Projects to Master Python".This section focuses on Artificial Intelligence.
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Reinforcement Learning and Deep RL Python Theory and Projects - Introduction to Stable Baseline
This video provides an introduction to Stable Baseline. This clip is from the chapter "Stable Baselines Cartpole Solution" of the series "Reinforcement Learning and Deep RL Python (Theory and Projects)".This section focuses on the Stable...
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Data Structures and Algorithms The Complete Masterclass - Trie - I
This is the first part of the two-part video that provides an introduction to the concept of a trie where we can store a character. This clip is from the chapter "Data Structures – Tries" of the series "Data Structures and Algorithms:...
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Data Structures and Algorithms The Complete Masterclass - Trees - Part 1
This is the first part of the two-part video that explains nonlinear data structure called trees. This clip is from the chapter "Data Structures - Trees" of the series "Data Structures and Algorithms: The Complete Masterclass".This...