Channel name was changed to «Artificial Intellegence && Deep Learning»
Top 8 Sources For Machine Learning and Analytics Datasets
1. Kaggle datasets
2. Amazon datasets
3. UCI Machine Learning Repository
4. Google Datasets Search Engine
5. Microsoft Research Open Data
6. Awesome Public Datasets Collection
... https://t.co/X3e7JEqvTf
1. Kaggle datasets
2. Amazon datasets
3. UCI Machine Learning Repository
4. Google Datasets Search Engine
5. Microsoft Research Open Data
6. Awesome Public Datasets Collection
... https://t.co/X3e7JEqvTf
Medium
Top 8 Sources For Machine Learning and Analytics Datasets
Your Ultimate Guide For Finding Machine Learning and Analytics Datasets
Reinforcement Learning with Python
A Deep Introduction and a programming approach to Reinforcement Learning Using Python.
A Deep Introduction and a programming approach to Reinforcement Learning Using Python.
Hot topic for project, thesis and research -- Machine Learning
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Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data
https://becominghuman.ai/cheat-sheets-for-ai-neural-networks-machine-learning-deep-learning-big-data-678c51b4b463
https://becominghuman.ai/cheat-sheets-for-ai-neural-networks-machine-learning-deep-learning-big-data-678c51b4b463
Becoming Human
Cheat Sheets for AI, Neural Networks, Machine Learning, Deep Learning & Big Data
The Most Complete List of Best AI Cheat Sheets
FOUNDATIONS OF MACHINE LEARNING
This book is a general introduction to machine learning that can serve as a textbook for students and researchers in the field.
It covers fundamental modern topics in machine learning while providing theoretical basis and conceptual tools needed for the discussion and justification algorithm.
👇👇👇
@DeepLearning_AI
This book is a general introduction to machine learning that can serve as a textbook for students and researchers in the field.
It covers fundamental modern topics in machine learning while providing theoretical basis and conceptual tools needed for the discussion and justification algorithm.
👇👇👇
@DeepLearning_AI
This book covers:
Chapter 1, Getting Started with OpenCV.
Chapter 2, An Introduction to the Basics of OpenCV.
Chapter 3, Learning the Graphical User Interface and Basic Filtering.
Chapter 4, Delving into Histograms and Filters.
Chapter 5, Automated Optical Inspection, Object Segmentation, and Detection.
Chapter 6, Learning Object Classification
Chapter 7, Detecting Face Parts and Overlaying Masks,
Chapter 8, Video Surveillance, Background Modeling, and Morphological Operations,
Chapter 9, Learning Object Tracking
Chapter 10, Developing Segmentation Algorithms for Text Recognition,
Chapter 11, Text Recognition with Tesseract
👇👇👇
@DeepLearning_AI
Chapter 1, Getting Started with OpenCV.
Chapter 2, An Introduction to the Basics of OpenCV.
Chapter 3, Learning the Graphical User Interface and Basic Filtering.
Chapter 4, Delving into Histograms and Filters.
Chapter 5, Automated Optical Inspection, Object Segmentation, and Detection.
Chapter 6, Learning Object Classification
Chapter 7, Detecting Face Parts and Overlaying Masks,
Chapter 8, Video Surveillance, Background Modeling, and Morphological Operations,
Chapter 9, Learning Object Tracking
Chapter 10, Developing Segmentation Algorithms for Text Recognition,
Chapter 11, Text Recognition with Tesseract
👇👇👇
@DeepLearning_AI
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