The Beginner’s Guide to Data Science A Journey from Data to Insight with Statistical Techniques Why The Beginner’s Guide to Data Science? …because it shows you how to tell stories from data. Whether you want to confirm your hypothesis or find new insights, data science delivers a narrative from the data. The narrative should be […]
Machine learning is an amazing tool for many tasks. OpenCV is a great library for manipulating images. It would be great if we can put them together. In this 7-part crash course, you will learn from examples how to make use of machine learning and the image processing API from OpenCV to accomplish some goals. […]
ChatGPT is a language model that you can use by talking to it. A language model in such a scale can naturally produce fluent text that is difficult to tell apart from work by humans. If you want to use it for a task, you will likely still need to provide detailed instructions. Moreover, you […]
Probability for Machine Learning Discover How To Harness Uncertainty With Python Machine Learning DOES NOT MAKE SENSE Without Probability What is Probability? …it’s about handling uncertainty Uncertainty involves making decisions with incomplete information, and this is the way we generally operate in the world. Handling uncertainty is typically described using everyday words like chance, luck, […]
Deep Learning for Computer Vision Crash Course. Bring Deep Learning Methods to Your Computer Vision Project in 7 Days. We are awash in digital images from photos, videos, Instagram, YouTube, and increasingly live video streams. Working with image data is hard as it requires drawing upon knowledge from diverse domains such as digital signal processing, […]
Deep Learning for Computer Vision Image Classification, Object Detection, and Face Recognition in Python …why deep learning? Traditionally, Computer Vision is REALLY HARD We are awash in images: photographs, videos, YouTube, Instagram, and increasingly from live video. Computer Vision, often shortened to CV, is defined as a field of study that seeks to develop techniques […]
Computer vision is perhaps one area that has been most impacted by developments in deep learning. It can be difficult to both develop and to demonstrate competence with deep learning for problems in the field of computer vision. It is not clear how to get started, what the most important techniques are, and the types […]
Statistical Methods for Machine Learning Discover how to Transform Data into Knowledge with Python Why do we need Statistics? Statistics is a collection of tools that you can use to get answers to important questions about data. You can use descriptive statistical methods to transform raw observations into information that you can understand and share. […]
Linear Algebra for Machine Learning Crash Course. Get on top of the linear algebra used in machine learning in 7 Days. Linear algebra is a field of mathematics that is universally agreed to be a prerequisite for a deeper understanding of machine learning. Although linear algebra is a large field with many esoteric theories and […]
Machine Learning Mastery With Weka Discover How To Build Predictive Models In Minutes Without The Code, Without The Math and Without the Confusion Getting Started in Applied Machine Learning is Hard …it’s hard for more reasons than you even know When you start out in applied machine learning, there is so much to learn. For example: […]
