Introduction to Hashing Technique | Consistent Hashing | Collision in Hashing | System Design
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Introduction to Hashing Technique | Consistent Hashing | Collision in Hashing | System Design
30:00
Publish/Subscribe model( pub/sub) | Architecture | System Design | HLD #systemdesign #interview
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Publish/Subscribe model( pub/sub) | Architecture | System Design | HLD #systemdesign #interview
27:25
Single leader Replication Strategy | Database | System Design | HLD #systemdesign #databaseconcepts
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Single leader Replication Strategy | Database | System Design | HLD #systemdesign #databaseconcepts
21:26
Indexing in Database & How it's imporving the Query Performance|Hash Index and B Tree Implementation
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Indexing in Database & How it's imporving the Query Performance|Hash Index and B Tree Implementation
20:39
Introduction to Apache Kafka #kafka #apachekafka #bigdata #dataengineering
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Introduction to Apache Kafka #kafka #apachekafka #bigdata #dataengineering
1:01
CACHE AND PERSIST | Spark Optimization Technique #dataengineering #spark #interviewquestions
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CACHE AND PERSIST | Spark Optimization Technique #dataengineering #spark #interviewquestions
3:01
Dynamic Partitioning Pruning | Spark Optimization Technique #dataengineering #interviewquestions
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Dynamic Partitioning Pruning | Spark Optimization Technique #dataengineering #interviewquestions
3:01
Types of Clusters in Databricks #bigdata #databricks #dataengineering #dataengineeringessentials
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Types of Clusters in Databricks #bigdata #databricks #dataengineering #dataengineeringessentials
3:01
Slowly Changing Dimensions #bigdata #dataengineering #datamodeling #dataengineer
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Slowly Changing Dimensions #bigdata #dataengineering #datamodeling #dataengineer
1:01
Adaptive Query Execution | Optimization technique in Spark 3.O #bigdata #dataengineering #interview
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Adaptive Query Execution | Optimization technique in Spark 3.O #bigdata #dataengineering #interview
1:01
Small files problem in Hadoop and how to solve it #bigdata #interview #dataengineering
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Small files problem in Hadoop and how to solve it #bigdata #interview #dataengineering
3:01
MAXIMUM SUBARRAY SUM | KADANE'S ALGORITHM | LEETCODE 53 | CODING | INTERVIEW PREPARATION |
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MAXIMUM SUBARRAY SUM | KADANE'S ALGORITHM | LEETCODE 53 | CODING | INTERVIEW PREPARATION |
19:20
Power Set | Print all Subsets | Recursion Series | Leetcode 78 | Coding | Interview Problem | DSA |
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Power Set | Print all Subsets | Recursion Series | Leetcode 78 | Coding | Interview Problem | DSA |
20:40
Line Sweep Algorithm | Leetcode | Competitive Programming | Pseudo Code & Time Complexity | Coding
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Line Sweep Algorithm | Leetcode | Competitive Programming | Pseudo Code & Time Complexity | Coding
25:06
Fibonacci Series | Recursion | Leetcode #codinginterview #interviewpreparation #dsa #coding
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Fibonacci Series | Recursion | Leetcode #codinginterview #interviewpreparation #dsa #coding
9:55
Sum of Array | Lecture 1| Recursion Series| GFG Problem
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Sum of Array | Lecture 1| Recursion Series| GFG Problem
10:00
Introduction to Recursion | Data Structures and Algorithms #coding #interviewpreparation  #leetcode
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Introduction to Recursion | Data Structures and Algorithms #coding #interviewpreparation #leetcode
10:00
Hypothesis Testing | T test | How to approach the Problem #statistics #hypothesistesting
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Hypothesis Testing | T test | How to approach the Problem #statistics #hypothesistesting
10:00
Introduction to Hugging Face : An AI Community #artificialintelligence #shorts
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Introduction to Hugging Face : An AI Community #artificialintelligence #shorts
1:01
How to Create a Talking AI Avatar | Generative AI | Large Language Models | #artificialintelligence
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How to Create a Talking AI Avatar | Generative AI | Large Language Models | #artificialintelligence
0:57
Langchain Explained in Easy way | Language Models | Generative AI #shorts #artificialintelligence
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Langchain Explained in Easy way | Language Models | Generative AI #shorts #artificialintelligence
1:01
Decoupling in Software Development Lifecycle | Shorts | #tech #gate #engineering #shorts #basics
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Decoupling in Software Development Lifecycle | Shorts | #tech #gate #engineering #shorts #basics
1:01
Docker Commands for Beginners | Docker tutorial 2 | Devops #technology #devops #engineering #basics
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Docker Commands for Beginners | Docker tutorial 2 | Devops #technology #devops #engineering #basics
9:56
What is Docker and Why to Use Docker | Devops | Softwaredevelopment |#tech #softwareengineering
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What is Docker and Why to Use Docker | Devops | Softwaredevelopment |#tech #softwareengineering
9:15
A Easy and Intuitive Explanation of Docker : A Containerization tool | Devops #softwaredevelopment
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A Easy and Intuitive Explanation of Docker : A Containerization tool | Devops #softwaredevelopment
1:01
Difference Between Microprocessor and CPU | Computer Science | Basics  #shorts #engineering #gate
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Difference Between Microprocessor and CPU | Computer Science | Basics #shorts #engineering #gate
1:01
CLI vs Terminal vs shell vs console #terminal #commandline #console #cmd #technology #kernel
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CLI vs Terminal vs shell vs console #terminal #commandline #console #cmd #technology #kernel
1:01
Minimum Amount of Time to Collect Garbage | leetcode | DSA | Coding #coding  #gate #engineering
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Minimum Amount of Time to Collect Garbage | leetcode | DSA | Coding #coding #gate #engineering
10:00
Introduction to Kafka and It's Components | Data Science | Data engineering #artificialintelligence
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Introduction to Kafka and It's Components | Data Science | Data engineering #artificialintelligence
10:00
Introduction to Large Language Model | Data Science | Deep Learning #artificialintelligence #tech
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Introduction to Large Language Model | Data Science | Deep Learning #artificialintelligence #tech
10:00
Exploding and Vanishing Gradient Problem | Deep Learning | Machine Learning #artificialintelligence
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Exploding and Vanishing Gradient Problem | Deep Learning | Machine Learning #artificialintelligence
1:01
Importance of Anomaly Detection in Data Analysis | #artificialintelligence #datascience #shorts
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Importance of Anomaly Detection in Data Analysis | #artificialintelligence #datascience #shorts
1:01
Confusion Matrix in Data Science | Data Analysis | Machine learning #artificialintelligence #shorts
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Confusion Matrix in Data Science | Data Analysis | Machine learning #artificialintelligence #shorts
1:01
Data Augmentation : A Easy Explanation| Data Science | Deep Learning #shorts #artificialintelligence
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Data Augmentation : A Easy Explanation| Data Science | Deep Learning #shorts #artificialintelligence
1:01
What is Transfer Learning? #deeplearning  #datascience #machinelearning
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What is Transfer Learning? #deeplearning #datascience #machinelearning
1:01
Three layers of Convolutional Neural Network (CNN) | Deep Learning #artificialintelligence #shorts
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Three layers of Convolutional Neural Network (CNN) | Deep Learning #artificialintelligence #shorts
1:01
Why ANN is not being used in case of Image processing? #deeplearning #datascience
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Why ANN is not being used in case of Image processing? #deeplearning #datascience
1:01
How to handle Imbalance Datasets in Machine Learning ?#datascience
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How to handle Imbalance Datasets in Machine Learning ?#datascience
1:01
Why Activation Functions in deep learning?
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Why Activation Functions in deep learning?
1:01
Types of Activation Function in Deep Learning
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Types of Activation Function in Deep Learning
1:01
Understanding Artificial Neural Networks: A Beginner's Guide with Simple Example #deeplearning
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Understanding Artificial Neural Networks: A Beginner's Guide with Simple Example #deeplearning
1:01
How Deep Learning is impacting us?
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How Deep Learning is impacting us?
1:01
Unlocking the Power of Artificial Neural Networks: The Neuron Demystified in Minutes!| Deep Learning
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Unlocking the Power of Artificial Neural Networks: The Neuron Demystified in Minutes!| Deep Learning
1:01
What is Kernel Trick ?
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What is Kernel Trick ?
0:16
Assumptions of Linear Regression | Machine Learning | Data Science #artificialintelligence #shorts
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Assumptions of Linear Regression | Machine Learning | Data Science #artificialintelligence #shorts
1:01
Gradient Boosting |Ensemble Learning Technique |Machine Learning #artificialintelligence #shorts
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Gradient Boosting |Ensemble Learning Technique |Machine Learning #artificialintelligence #shorts
0:46
Master Multicollinearity in Just 15 Seconds! The Essential Concept for Data Analysis and Statistics.
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Master Multicollinearity in Just 15 Seconds! The Essential Concept for Data Analysis and Statistics.
0:15
Techniques to Avoid the Overfitting of Machine Learning Model|Data Science #machinelearning #shorts
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Techniques to Avoid the Overfitting of Machine Learning Model|Data Science #machinelearning #shorts
0:16
The Ultimate Guide to A/B Testing: Boost Your Website's Success with Data-Driven Experiments
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The Ultimate Guide to A/B Testing: Boost Your Website's Success with Data-Driven Experiments
0:15
Gradient Descent: The Ultimate Guide to Optimizing Your ML and Deep Learning Models #datascience
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Gradient Descent: The Ultimate Guide to Optimizing Your ML and Deep Learning Models #datascience
0:16
Why Feature Scaling is so important?
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Why Feature Scaling is so important?
0:16
Why Deep Learning is the Future: The Advantages Over Traditional Machine Learning Explained #shorts
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Why Deep Learning is the Future: The Advantages Over Traditional Machine Learning Explained #shorts
0:16
Two Sum Problem
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Two Sum Problem
21:43
Pascal Traingle
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Pascal Traingle
18:47
Eda on sports data
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Eda on sports data
12:12
Unsupervised learning  - KMeans clustering algorithm
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Unsupervised learning - KMeans clustering algorithm
29:27
Exploratory Data Analysis using python
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Exploratory Data Analysis using python
12:38
Ml model
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Ml model
10:40
random variable series (part 2)
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random variable series (part 2)
39:34
random variable
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random variable
20:49