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Learning, Unlearning and Re-Learning Curves
Learning, Unlearning and Re-learning Curves (Volume IV of the Working Guides to Estimating & Forecasting series) focuses in on Learning Curves, and the various tried and tested models of Wright, Crawford, DeJong, Towill-Bevis and others.It explores the differences and similarities between the various models and examines the key properties that Estimators and Forecasters can exploit. A discussion about Learning Curve Cost Drivers leads to the consideration of a little used but very powerful technique of Learning Curve modelling called Segmentation, which looks at an organisation’s complex learning curve as the product of multiple shallower learning curves.Perhaps the biggest benefit is that it simplifies the calculations in Microsoft Excel where there is a change in the rate of learning observed or expected.The same technique can be used to model and calibrate discontinuities in the learning process that result in setbacks and uplifts in time or cost.This technique is compared with other, better known techniques such as Anderlohr’s.Equivalent Unit Learning is another, relative new technique that can be used alongside traditional completed unit learning to give an early warning of changes in the rates of learning.Finally, a Learning Curve can be exploited to estimate the penalty of collaborative working across multiple partners.Supported by a wealth of figures and tables, this is a valuable resource for estimators, engineers, accountants, project risk specialists, as well as students of cost engineering.
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What's the point of learning this, anyway?
Learning is important because it helps us understand the world around us, develop critical thinking skills, and adapt to new situations. It also allows us to grow and improve ourselves, both personally and professionally. By learning new things, we can expand our knowledge, gain new perspectives, and contribute to the betterment of society. Ultimately, learning is a lifelong process that enriches our lives and helps us reach our full potential.
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Will learning languages become unnecessary at some point?
While advancements in technology like translation apps and devices have made it easier to communicate across languages, learning languages will likely never become completely unnecessary. Language is deeply tied to culture, identity, and human connection, and being able to speak multiple languages can open up opportunities for personal and professional growth. Additionally, learning a new language can enhance cognitive abilities and improve brain function, making it a valuable skill to have.
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Why deep learning compared to machine learning?
Deep learning is a subset of machine learning that uses neural networks to learn from data. It is more powerful than traditional machine learning techniques because it can automatically discover and learn from complex patterns and features in the data without the need for explicit feature engineering. Deep learning can handle large amounts of data and is capable of learning from unstructured data such as images, audio, and text, making it more versatile and effective for a wide range of applications. Additionally, deep learning models can continuously improve their performance with more data, making them more adaptable and scalable compared to traditional machine learning models.
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What is the point of learning Latin in school today?
Learning Latin in school today has several benefits. Firstly, it helps students to understand the roots of many modern languages, which can improve their vocabulary and language skills. Secondly, it provides a deeper understanding of ancient Roman culture, history, and literature, which can be valuable in understanding the foundations of Western civilization. Lastly, studying Latin can also improve critical thinking and problem-solving skills, as it requires students to analyze complex grammatical structures and translate texts. Overall, learning Latin can provide students with a well-rounded education and a deeper appreciation for the origins of language and culture.
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Learning and Behavior : Active Learning Edition
Examine learning through an evolutionary lens as Chance/Furlong's LEARNING AND BEHAVIOR, 8E demonstrates how learning has evolved as a biological mechanism to aid in survival.This clear, engaging presentation embraces a scientific approach to studying behavior with updated content, numerous learning features and current examples to capture your interest and strengthen your understanding.Timely research demonstrates the relevance of what you are studying as you examine concepts such as "nature via nurture" and the co-dependency of ontogeny and phylogeny.New learning objectives direct your attention to important concepts for study and review while helpful Concept Checks ensure you understand concepts before progressing.In addition, all content corresponds with the latest 7th Edition of the APA Publication Manual.Trust this book's unique approach as you master concepts behind learning, behavior and change and apply this to everyday life.
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Learning to Fly, Learning to Love
There is little doubt that back in the 1950's being a fighter pilot was seen as being amongst the most glamorous occupations.These 'knights of the sky' were on a par with modern day pop idols or film stars.To some extent this kudos continues even to this day.However, it was then also one of the most dangerous occupations with many RAF aircrew killed each year due simply to accidents and mechanical equipment failures.No punches are pulled in this book, with much of the text containing detailed and explicit descriptions of flying, some intense sexual activity and the psychological confusion which can arise from falling in love.The story is based on the actual experiences of a real person who lived through these events.
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Learning Tensorflow.js : Powerful Machine Learning in JavaScript
Given the demand for AI and the ubiquity of JavaScript, TensorFlow.js was inevitable.With this Google framework, seasoned AI veterans and web developers alike can help propel the future of AI-driven websites.In this guide, author Gant Laborde--Google Developer Expert in machine learning and the web--provides a hands-on end-to-end approach to TensorFlow.js fundamentals for a broad technical audience that includes data scientists, engineers, web developers, students, and researchers. You'll begin by working through some basic examples in TensorFlow.js before diving deeper into neural network architectures, DataFrames, TensorFlow Hub, model conversion, transfer learning, and more.Once you finish this book, you'll know how to build and deploy production-ready deep learning systems with TensorFlow.js. Explore tensors, the most fundamental structure of machine learningConvert data into tensors and back with a real-world exampleCombine AI with the web using TensorFlow.jsUse resources to convert, train, and manage machine learning dataBuild and train your own training models from scratch
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Is distance learning as recognized as traditional learning?
Distance learning is becoming increasingly recognized and accepted as a legitimate form of education, especially with the advancements in technology and the widespread availability of online courses. However, traditional learning still holds a higher level of recognition and credibility in many circles, such as certain industries or academic institutions. Ultimately, the recognition of distance learning versus traditional learning can vary depending on the context and the perceptions of individuals or organizations.
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Is distance learning worse than on-campus learning?
The effectiveness of distance learning versus on-campus learning depends on individual preferences, learning styles, and the specific course or program. Distance learning can offer flexibility and convenience for those with busy schedules or other commitments, while on-campus learning may provide more opportunities for in-person interaction and hands-on experiences. Both modalities have their own set of advantages and disadvantages, and the quality of the learning experience ultimately depends on the resources, support, and engagement available to the student in either setting.
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Can digital learning videos replace textbooks and traditional learning?
While digital learning videos can be a valuable supplement to traditional learning methods, they may not be able to fully replace textbooks and traditional learning. Textbooks provide a comprehensive and structured approach to learning, while digital videos may lack depth and detail. Additionally, some students may struggle with self-regulation and focus when using digital resources. A combination of both digital learning videos and traditional learning methods may be the most effective approach to cater to different learning styles and preferences.
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Is distance learning as good as in-person learning?
Distance learning can be as good as in-person learning in certain circumstances. It offers flexibility and convenience for students who may have other commitments or need to work at their own pace. However, in-person learning provides opportunities for hands-on experiences, face-to-face interaction with teachers and peers, and a more structured learning environment. Ultimately, the effectiveness of distance learning versus in-person learning depends on the individual student's learning style and the quality of the educational resources and support available.
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