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Vadim
Data Recovery Team
Software Developer
As part of the Apriorit team, I aim at providing firsthand insights on tech and business, focusing on the true value of technologies and concepts and discussing pros and cons of applying them in IT projects.
More articles from author
AI and ML for Fraud Detection: Top Use Cases, Approaches, and Technologies
Explore how you can use AI and ML for fraud detection to enhance your software’s data security and see what techniques and approaches to choose.
Developing an AI-based Learning Management System: Benefits, Limitations, and Best Practices to Follow
Learn which AI technologies to use to develop an AI-based LMS and which limitations to take into account.
How to Develop Smart Chatbots Using Python: Examples of Developing AI- and ML-Driven Chatbots
The Apriorit experts share the best practices on building a Python AI chatbot. Use our code examples to make ML-based smart chatbots for your project...
Benefits of AI in Healthcare: How to Enhance Your Software and Improve Patient Care
Learn about the benefits of artificial intelligence in healthcare and how you can tailor your software to the needs of doctors and patients with the h...
Can You Rely on GPT-3 in AI Development Projects?
Explore how to use GPT-3 in AI development, the pros and cons of doing so, and Python code samples for various GPT-3 use cases.
Anomaly Detection on Social Media: How to Build an AI-Powered SaaS Platform with Python Tools
Learn how you can benefit from detecting anomalies on social media and which AI and Python tools you can use to build an anomaly detection solution.
C# vs Python vs C Comparison Guide: Key Differences, Benefits, and Challenges
C# vs Python vs C: Learn the pros and cons of these languages, use cases for them, and differences between them. Explore how they perform based on a p...
How to Effectively Compress Images with Keras (with Practical Examples)
Learn how to effectively compress data using AI methods and the Keras framework. See an example of image compression using deep learning models.
Accomplishing Speaker Recognition Tasks with Machine Learning and Deep Learning — Practical Evaluation of Tools, Techniques, and Models
Explore key approaches to speech recognition when building a speaker recognition solution.
