Blogs

Freelance blogs on Deep Learning & Computer Vision.

Lakera AI:

  1. Comprehensive Guide to Large Language Model (LLM) Security
  2. AI Risks: Exploring the Critical Challenges of Artificial Intelligence

v7 Labs:

  1. The Complete Guide to Ensemble Learning
  2. The Essential Guide to Zero-Shot Learning [2022]
  3. The Beginner's Guide to Self-Supervised Learning
  4. The Beginner's Guide to Contrastive Learning
  5. Domain Adaptation in Computer Vision: Everything You Need to Know
  6. AI-Generated Art: From Text to Images & Beyond [Examples]
  7. Deep Learning for Image Super-Resolution [incl. Architectures]
  8. Knowledge Distillation: Principles & Algorithms [+Applications]
  9. Image Processing: Techniques, Types, & Applications [2022]
  10. Active Learning in Machine Learning [Guide & Examples]
  11. Confusion Matrix: How To Use It & Interpret Results [Examples]
  12. Precision vs. Recall: Differences, Use Cases & Evaluation
  13. Multi-Task Learning in ML: Optimization & Use Cases [Overview]
  14. F1 Score in Machine Learning: Intro & Calculation
  15. YOLO: Algorithm for Object Detection Explained [+Examples]
  16. Video Segmentation: Intro, Methods, Tutorial
  17. Video Classification: Methods, Use Cases, Tutorial
  18. A Practical Guide to Video Recognition [Overview and Tutorial]
  19. AI in Drug Discovery: 10 Cutting-Edge Applications
  20. Large Language Models (LLMs): Challenges, Predictions, Tutorial
  21. Foundation Models: The Benefits, Risks, and Applications
  22. Segment Anything Model (SAM): Intro, Use Cases, V7 Tutorial

DataHeroes:

  1. 5 Data Cleaning Techniques for Better ML Models
  2. Machine Learning Model Training: Best Practices and Techniques for Efficient Training
  3. MLOps and Data Drift Detection: Ensuring Accurate ML Model Performance
  4. 10 Tips for Effective Model Tuning in Machine Learning
  5. The Top Anomaly Detection Techniques You Need to Know
  6. Data Drift Gone: Keep Your ML Model Constantly Updated, 90% Cheaper and Faster
  7. Data Drift vs. Concept Drift: Differences and How to Detect and Address Them
  8. Understanding the Power of Data-Centric AI
  9. Unleashing the Power of ML: The Art of Training Models and Its Vital Significance

Heartbeat:

  1. A Guide to Non-Traditional Ensemble Learning
  2. COVID-19 Detection Using Deep Learning
  3. Few-Shot Learning
  4. Super-Resolution
  5. Deep Learning for Human Action Recognition
  6. A Guide to Generative Adversarial Networks (GANs)

Paperspace:

  1. Everything you need to know about Few-Shot Learning
  2. Deep Learning for Image Dehazing- The What, Why, and How

TheSequence:

  1. Toloka App Services Aims to Make Data Labeling Easier for AI Startups
  2. A Deep Dive Into Aporia, the ML Observability Platform