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My professional objective includes knowledge sharing, which is why I launched this blog to share my daily tech watch with you. I hope you enjoy the content I share, and thank you for visiting.
Latest posts
Make your convolutional Neural Networks better
Enhance your Convolutional Neural Networks (CNNs) by implementing techniques such as data augmentation to create diverse training examples, using transfer learning to leverage pre-trained models, incorporating regularization methods like dropout and batch normalization to prevent overfitting, exploring different architectures, optimizing hyperparameters, considering ensemble learning for improved predictions, and addressing class imbalances in the dataset. These strategies collectively contribute to improved model performance, convergence speed, and generalization capabilities.
Sequences, Time Series and Prediction
Unlock the power of data through Sequences, Time Series, and Prediction. Master the ability to analyze, forecast, and extract insights from time-dependent data sequences. Dive into practical methods for making informed, data-driven predictions. Ideal for data scientists, economists, and statisticians. Explore the future, today!
Natural Language Processing
Natural Language Processing, or NLP, is a field of artificial intelligence that focuses on the interaction between computers and humans through natural language. The ultimate objective of NLP is to enable machines to understand, interpret, and generate human languages in a manner that is valuable and meaningful. This technology is behind various applications such as speech recognition, language translation, sentiment analysis, and chatbot development, bridging the gap between human communication and computer understanding.
Make your convolutional Neural Networks better
Enhance your Convolutional Neural Networks (CNNs) by implementing techniques such as data augmentation to create diverse training examples, using transfer learning to leverage pre-trained models, incorporating regularization methods like dropout and batch normalization to prevent overfitting, exploring different architectures, optimizing hyperparameters, considering ensemble learning for improved predictions, and addressing class imbalances in the dataset. These strategies collectively contribute to improved model performance, convergence speed, and generalization capabilities.
Sequences, Time Series and Prediction
Unlock the power of data through Sequences, Time Series, and Prediction. Master the ability to analyze, forecast, and extract insights from time-dependent data sequences. Dive into practical methods for making informed, data-driven predictions. Ideal for data scientists, economists, and statisticians. Explore the future, today!
Machine learning
Sequences, Time Series and Prediction
Unlock the power of data through Sequences, Time Series, and Prediction. Master the ability to analyze, forecast, and extract insights from time-dependent data sequences. Dive into practical methods for making informed, data-driven predictions. Ideal for data scientists, economists, and statisticians. Explore the future, today!
Natural Language Processing
Natural Language Processing, or NLP, is a field of artificial intelligence that focuses on the interaction between computers and humans through natural language. The ultimate objective of NLP is to enable machines to understand, interpret, and generate human languages in a manner that is valuable and meaningful. This technology is behind various applications such as speech recognition, language translation, sentiment analysis, and chatbot development, bridging the gap between human communication and computer understanding.
Make your convolutional Neural Networks better
Enhance your Convolutional Neural Networks (CNNs) by implementing techniques such as data augmentation to create diverse training examples, using transfer learning to leverage pre-trained models, incorporating regularization methods like dropout and batch normalization to prevent overfitting, exploring different architectures, optimizing hyperparameters, considering ensemble learning for improved predictions, and addressing class imbalances in the dataset. These strategies collectively contribute to improved model performance, convergence speed, and generalization capabilities.
Nodejs
Typescript: Decorators
TypeScript decorators are a language feature that allow you to modify the behavior of classes, methods, properties, and other declarations. They are a way to add metadata or behavior to your code by wrapping it with functions that take the target as their first argument. Decorators are a powerful tool for creating reusable code and enhancing the expressiveness of your TypeScript programs.
AWS Serverless API
AWS Serverless API is a cloud computing service that enables developers to build and deploy serverless applications and APIs on the AWS infrastructure. It uses AWS Lambda functions, API Gateway, and other AWS services to create APIs with built-in security, auto-scaling, and monitoring capabilities. Developers can focus on writing code for their applications and APIs without worrying about infrastructure management.
Nestjs - Gateway and microservices
Nestjs is a Node.js framework based on Angular for building scalable backend applications. The Gateway module allows microservices to communicate with each other seamlessly using the API Gateway pattern. It also provides features such as data aggregation and caching to improve application performance.
Java
Spring: Sleuth and Zipkin
Spring Sleuth and Zipkin are two tools commonly used for distributed tracing in Spring-based microservices architectures. Spring Sleuth adds unique identifiers to each request so that the flow of requests can be tracked across multiple services. Zipkin is a distributed tracing system that collects and analyzes trace data, providing insights into the performance of microservices and helping to identify and troubleshoot issues. Together, these tools help developers monitor and optimize the performance of their Spring-based applications
Spring: Secure your API access.
Spring is a powerful framework for building robust and scalable Java applications. With its advanced security features, it helps you secure your API access and prevent unauthorized access to your application. Whether you're building a simple REST API or a complex enterprise application, Spring has the tools you need to ensure the security of your system.
Spring: Netflix Heureka
Spring is a popular Java framework for building web applications. Netflix Heureka, also known as simply Eureka, is a service registry that is often used in conjunction with Spring for building microservices. It allows services to easily register and discover each other, making it easier to build and scale complex systems.
Security
Clickjacking (correction de l'interface utilisateur)
Clickjacking, also known as UI redressing, is a technique used by attackers to deceive users into clicking on malicious elements hidden under the appearance of legitimate buttons or links. This technique can be used to steal sensitive information or perform unauthorized actions on websites. Prevention techniques include the use of X-Frame-Options header and disabling JavaScript.
HTTP request smuggling
HTTP request smuggling is a web application attack that exploits the differences in parsing HTTP requests by front-end and back-end servers to smuggle malicious requests that bypass security measures. This vulnerability can allow an attacker to bypass authentication, perform cross-site scripting, steal sensitive data, and launch other attacks.
Security : SQL injection
SQL injection is a type of security vulnerability in which an attacker injects malicious SQL code into a web application's input fields, allowing them to access and manipulate the application's database. This can lead to unauthorized access, data loss or corruption, and other security breaches. Preventing SQL injection requires proper input validation and parameterized queries to ensure that user input is properly sanitized before being used in SQL statements.
User interface
React - Typescript by Practice - Trello - Column drag and drop
This tutorial focuses on building a React application using TypeScript and practical implementation of Trello board with drag and drop functionality for columns.
Typescript has advanced types and structural patterns.
Typescript is a superset of JavaScript that adds static typing to the language. With advanced types, Typescript provides a robust type system that allows for better code organization and fewer errors at runtime. Structural patterns are design patterns that focus on the structure of objects and how they relate to each other, enabling developers to write cleaner and more maintainable code.
Micro Frontend
Micro Frontend is an architectural approach where the frontend of a web application is broken down into smaller, self-contained units called micro frontends. Each micro frontend is developed and deployed independently, allowing for greater flexibility and scalability in large and complex web applications. The micro frontends can also be owned and maintained by separate teams, improving team autonomy and reducing coordination overhead.
Devops
AWS: Deployment Infrastructure and Management in the Cloud
Learn about AWS, Amazon's powerful cloud computing platform that offers flexible and scalable deployment infrastructure, as well as robust management tools. With AWS, you can easily manage and optimize your cloud resources, allowing you to focus on growing your business. Explore AWS today and see how it can help you streamline your operations in the cloud.
AWS: Network Services
AWS provides a range of network services to help you build scalable and highly available applications. These services include virtual private cloud (VPC), Elastic Load Balancing, Amazon Route 53, AWS PrivateLink, AWS Direct Connect, and AWS Global Accelerator. With these services, you can build secure, flexible, and resilient network architectures that meet the needs of your applications and users.
AWS: Storage services
AWS provides a range of storage services that enable businesses to store, manage, and retrieve their data reliably and cost-effectively. These services include Amazon S3 for object storage, Amazon EBS for block storage, Amazon EFS for file storage, and more. With flexible pricing options and easy integration with other AWS services, AWS storage services are popular among businesses of all sizes.
Design pattern
Design Pattern Command
The Command Design Pattern is a behavioral pattern in which an object is used to encapsulate all the information necessary to perform a specific action at a later time, allowing for decoupling between the sender and the receiver of the command. This pattern is useful when implementing undo/redo functionality, queuing tasks, or implementing macro recording and playback.
Design Pattern Adapter
The Adapter design pattern is used to convert the interface of an existing class into another interface that the client expects. This allows the classes to work together that couldn't otherwise due to incompatible interfaces. The adapter acts as a wrapper around the existing class, providing a new interface to the client code.
Design Pattern Factory
The Factory design pattern is a creational pattern that provides a way to create objects without specifying the exact class of object that will be created. The pattern delegates the responsibility of object instantiation to a factory method, which is responsible for creating the object based on a given set of parameters. This allows for more flexible and scalable code, as new classes can be added to the system without changing existing code that relies on the factory.