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Google Cloud SQL
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Linear Regression
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Proximal Policy Optimization (PPO)
BERT
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Multi-Task Learning with Low-level Tasks
Bagged Decision Trees
Random Patches
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XGBoost
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Stochastic Gradient Boosting (SGD)
Convolutional operations
Pooling
ReLU activation
Backpropagation
Anchor boxes
Intersection over Union (IoU)
Non-maximum suppression (NMS)
R-CNN, YOLO, Faster R-CNN
Time distributed dense layers
Bidirectional RNN
GRU and LSTM units
Text classification
Named entity recognition
Machine Translation
Sentiment Analysis
Encoder-Decoder Architecture
Latent Space representation
Data denoising
Variational Autoencoders (VAEs)
Reconstruction error
One-class SVM
Isolation Forest
Generative Model
Discriminative Model
Adversarial Loss
DCGAN, Pix2Pix, StyleGAN
Label-preserving transformations
Image-to-image translation
CycleGAN
Window-based approach
Stateful LSTMs
Sequence-to-Sequence (Seq2Seq) models
Acoustic modelling
Connectionist Temporal Classification (CTC) loss
Attention-based models
Restricted Boltzmann Machines (RBMs)
Greedy layer-wise training
Fine-tuning with backpropagation
Sampling from the learned distribution
MNIST digit generation
Markov Decision Process (MDP)
Policy optimization
Value-based methods (Q-Learning)
Policy-based methods (REINFORCE)
Model-based methods
Model-free methods
Deep Reinforcement Learning (DRL)
Multi-Agent Reinforcement Learning (MARL)
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Command Query Responsibility Segregation (CQRS)
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CoAP
AMQP
LoRaWAN
Zigbee
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Text Mining
Query Expansion
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PageRank
HITS
BM25
Link Analysis
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Web Data Extraction
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Object Recognition
Image Classification
Image Analysis
Object Detection
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Image Hashing
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Image Search Optimization
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Network topology
Router configuration
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Malware
Phishing
Social engineering
Firewall
Antivirus
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Secure coding practices
Threat modelling
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API security
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Network segmentation
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Industry standards
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Mobile threat defence (MTD)
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IoT device security protocols
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Attribute-based access control (ABAC)
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User provisioning
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Compliance management
Risk assessment
Threat identification
Vulnerability analysis
Data backup and recovery
Infrastructure recovery
Application recovery
Incident response
Business process continuity
Communication and notification planning
SSL offloading
URL rewriting
Content filtering
Authentication and authorization
Load balancing
High availability
Traffic management
Content caching
Bandwidth optimization
User experience improvement
Resource utilization reduction
SSL/TLS decryption
Traffic management
Content filtering
Authentication and authorization
Security
Performance optimization
Traffic management
Geo-restriction and geo-redirection
Traffic filtering
Security policies enforcement
Secure connection
Data compression and optimization
Access control
Security policies enforcement
API usage visibility
Analytics and monitoring
Routing and orchestration
Security
Caching and rate limiting
Service discovery and registration
Security
Performance optimization
API traffic management
Mobile device-specific optimization
SQL
Oracle
Microsoft SQL Server
ER modelling
Indexing
MongoDB
Cassandra
CouchDB
Cosmos DB
JSON
BSON
Dynamic schema
Java
Python
Object-Relational Mapping (ORM)
Object-Relational Database Management System (ORDBMS)
Object Database Management System (ODBMS)
InfluxDB
TimescaleDB
KairosDB
Time series analysis
Event data management
Neo4j
OrientDB
ArangoDB
Graph theory
Link analysis
Redis
Memcached
Hazelcast
In-memory caching
Low latency data access
Apache Cassandra
Amazon Redshift
Google Bigtable
Business Intelligence (BI)
Data warehousing techniques
Apache Kafka
RabbitMQ
Apache Pulsar
Event streaming architecture
Stream processing frameworks
Amazon Relational Database Service (RDS)
Google Cloud SQL
Microsoft Azure Database
Cloud database security
Disaster recovery in cloud databases
Google Cloud Spanner
Amazon Aurora
CockroachDB
NewSQL database architecture
Data consistency in NewSQL database
Linear Regression
Logistic Regression
Ridge Regression
Lasso Regression
Elastic Net Regression
Bayesian Linear Regression
Support Vector Regression (SVR)
K-Nearest Neighbors (KNN)
Decision Trees
Random Forest
Gradient Boosting
Neural Networks
Convolutional Neural Networks (CNNs)
Multilayer Perceptron (MLP)
K-Means
Hierarchical Clustering
DBSCAN
DBSCAN
Gaussian Mixture Models (GMM)
Spectral Clustering
Affinity Propagation
Market Basket Analysis
Frequent Itemset Mining
Association Rule Mining
Fuzzy Association Rule Mining
Self-training
Co-training
Graph-based methods
Label Propagation
Q-Learning
SARSA
Deep Q-Networks (DQN)
Policy Gradients
Deep Deterministic Policy Gradients (DDPG)
Proximal Policy Optimization (PPO)
BERT
GPT
XLNet
ULMFiT
Transfer Learning
Multi-Head Attention
Multi-Task DNNs
Multi-Task Learning with Low-level Tasks
Bagged Decision Trees
Random Patches
Bagged Logistic Regression
Random Subspaces
XGBoost
LightGBM
Extreme Gradient Boosting (XGBoost)
Stochastic Gradient Boosting (SGD)
Convolutional operations
Pooling
ReLU activation
Backpropagation
Anchor boxes
Intersection over Union (IoU)
Non-maximum suppression (NMS)
R-CNN, YOLO, Faster R-CNN
Time distributed dense layers
Bidirectional RNN
GRU and LSTM units
Text classification
Named entity recognition
Machine Translation
Sentiment Analysis
Encoder-Decoder Architecture
Latent Space representation
Data denoising
Variational Autoencoders (VAEs)
Reconstruction error
One-class SVM
Isolation Forest
Generative Model
Discriminative Model
Adversarial Loss
DCGAN, Pix2Pix, StyleGAN
Label-preserving transformations
Image-to-image translation
CycleGAN
Window-based approach
Stateful LSTMs
Sequence-to-Sequence (Seq2Seq) models
Acoustic modelling
Connectionist Temporal Classification (CTC) loss
Attention-based models
Restricted Boltzmann Machines (RBMs)
Greedy layer-wise training
Fine-tuning with backpropagation
Sampling from the learned distribution
MNIST digit generation
Markov Decision Process (MDP)
Policy optimization
Value-based methods (Q-Learning)
Policy-based methods (REINFORCE)
Model-based methods
Model-free methods
Deep Reinforcement Learning (DRL)
Multi-Agent Reinforcement Learning (MARL)
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shabbir tetst
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08/01/2025 - 09/07/2025
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tset
08/01/2025 - 09/07/2025
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