Machine Learning
Chapter 8 -FIND-S Algorithm Chapter Outline Chapter Outline Quick Recap Research Cycle Representing Training Examples and Hypothesis for FIND-S Machine Learning Algorithm FIND-S Algorithm – Machine Learning Cycle Chapter Summary Quick Recap Quick Recap – Concept Learning and Hypothesis Representation Learning is a Searching Problem Research is defined as a systematic investigation of sources and […]
Machine Learning
Chapter 6 – Treating a Problem as a Machine Learning Problem – Step by Step Examples Chapter Outline Chapter Outline Quick Recap Steps – Treating a Real-world Problem as a Machine Learning Problem GPA Prediction System – Treating a Real-world Problem as a Supervised Machine Learning Problem Emotion Prediction System – Treating a Real-world Problem […]
Machine Learning
Chapter 5 – Data and Annotation Step – by – Step Example Chapter Outline Chapter Outline Quick Recap Main Steps for Data Annotation Developing Gold Standard Annotated Corpus using Data Sources with Annotations Developing Gold Standard Annotated Corpus using Data Sources without Annotations Chapter Summary Quick Recap Quick Recap – Data and Annotations A Real-world […]
Machine Learning
Chapter 4 – Data and Annotation Chapter Outline Chapter Outline Quick Recap Identifying Most Suitable Solution to a Real-world Problem Corpus / Dataset Data and Annotations Chapter Summary Quick Recap Quick Recap – Basics of Machine Learning Before learning / doing a Task, it is essential to know its ultimate goal The ultimate goal of […]
Introduction to Python
Chapter 13 – Software Deployment Authors Ms. Samavi Salman Dr. Rao Muhammad Adeel Nawab Supporting Material Download Supporting Material (Code): here Quick Recap Quick Recap – Software Debugging In the previous Chapter, I presented the following main concepts: Bug A bug refers to an error, fault or flaw in any computer program or a hardware […]
Machine Learning
Chapter 3 – Basics of Machine Learning Chapter Outline Chapter Outline Quick Recap What is Machine Learning? Learning Input-Output Functions – General Settings Steps to Build Efficient Machine Learning Models Treating Real-world Problems as Learning Input-Output Functions Types of Machine Learning Machine Learning Cycle Machine Learning – Training Regimes Chapter Summary Quick Recap Quick Recap […]
Machine Learning
Chapter 1 – Introduction to Authors and Book Author Dr. Rao Muhammad Adeel Nawab chapter outline The power of smile and appreciation How to achieve excellence in both Technical Skills and Human Engineering through this Book? A brief introduction of the authors of the Book Book contents, book aims and book learning outcomes Book development […]
Introduction to Python
Chapter 32 – Dictionaries in Python Authors Ms. Samavi Salman Dr. Rao Muhammad Adeel Nawab Supporting Material Download Supporting Material (Code): here Quick Recap Quick Recap – Lists in Python In previous Chapter, I presented List A List is defined as an ordered collection of items, which may or may not have same data types […]
Introduction to Python
Chapter 31 – Lists in Python Authors Ms. Samavi Salman Dr. Rao Muhammad Adeel Nawab Supporting Material Download Supporting Material (Code): here Quick Recap Quick Recap – Strings in Python In previous Chapter, I presented String A string is defined as a sequence of characters String Methods String Methods are special functions used to manipulate […]
Introduction to Python
Chapter 33 – Tuples Authors Ms. Samavi Salman Dr. Rao Muhammad Adeel Nawab Supporting Material Download Supporting Material (Code): here Quick Recap Quick Recap – Dictionaries in Python In previous Chapter, I presented Dictionary Definition 1 In Python, Dictionary is a data structure which stores data as a set of unique identifiers, each of which […]