Your cart is currently empty!
Tag: supervised learning
GRAPH-BASED SEMI-SUPERVISED LEARNING (SYNTHESIS LECTURES By Amarnag Subramanya
GRAPH-BASED SEMI-SUPERVISED LEARNING (SYNTHESIS LECTURES By Amarnag Subramanya
Price : 63.95
Ends on : N/A
View on eBayGraph-based semi-supervised learning is a powerful technique that leverages the relationships between data points to make predictions on unlabeled data. In his comprehensive synthesis lecture, Amarnag Subramanya delves into the intricacies of this method, providing a thorough overview of the principles, algorithms, and applications in the field.
This lecture is essential for anyone looking to deepen their understanding of semi-supervised learning and its practical implications. Subramanya’s expertise shines through as he breaks down complex concepts into easily digestible pieces, making this a valuable resource for researchers, practitioners, and students alike.
Whether you’re new to the world of semi-supervised learning or looking to expand your knowledge, this synthesis lecture is a must-read. Dive into the world of graph-based semi-supervised learning with Amarnag Subramanya and unlock its full potential in your own projects.
#GRAPHBASED #SEMISUPERVISED #LEARNING #SYNTHESIS #LECTURES #Amarnag #Subramanya![Semi-Supervised Learning [Adaptive Computation and Machine Learning series] , ,](https://ziontechgroup.com/wp-content/uploads/2024/12/1735323372_s-l500.jpg)
Semi-Supervised Learning [Adaptive Computation and Machine Learning series] , ,
Semi-Supervised Learning [Adaptive Computation and Machine Learning series] , ,
Price : 52.90
Ends on : N/A
View on eBay
Semi-Supervised Learning [Adaptive Computation and Machine Learning series]Semi-supervised learning is a powerful technique in the field of machine learning that combines labeled and unlabeled data to improve the performance of predictive models. In this book, the authors provide a comprehensive overview of semi-supervised learning, covering both theoretical foundations and practical applications.
The book starts with an introduction to semi-supervised learning, explaining the key concepts and motivations behind this approach. It then delves into the various algorithms and methods used in semi-supervised learning, including self-training, co-training, and graph-based techniques.
Throughout the book, the authors emphasize the importance of adaptability in semi-supervised learning, highlighting how models can be continuously updated and improved as new data becomes available. They also discuss the challenges and limitations of semi-supervised learning, and provide strategies for overcoming them.
Overall, this book is a valuable resource for researchers, practitioners, and students interested in leveraging unlabeled data to enhance the performance of machine learning models. It offers a comprehensive and up-to-date overview of semi-supervised learning, making it an essential addition to the Adaptive Computation and Machine Learning series.
#SemiSupervised #Learning #Adaptive #Computation #Machine #Learning #series
Learning-focused Supervision: Developing Professional Expertise in Standa – GOOD
Learning-focused Supervision: Developing Professional Expertise in Standa – GOOD
Price : 4.12
Ends on : N/A
View on eBay
Learning-focused Supervision: Developing Professional Expertise in Standards-based EducationIn today’s fast-paced and ever-changing educational landscape, it is essential for educators to continuously develop their professional expertise in order to meet the demands of standards-based education. Learning-focused supervision is a powerful tool that can help educators improve their practice and enhance student learning outcomes.
By focusing on learning and growth, rather than simply evaluating performance, learning-focused supervision encourages educators to reflect on their practice, set goals for improvement, and collaborate with colleagues to achieve excellence. This approach emphasizes ongoing professional development and supports educators in implementing best practices that align with standards and research-based strategies.
Through learning-focused supervision, educators have the opportunity to receive feedback, engage in meaningful dialogue, and collaborate with supervisors to enhance their teaching skills and knowledge. This process not only benefits individual educators, but also contributes to a culture of continuous improvement within schools and districts.
As we strive to provide the best possible education for all students, it is essential that educators engage in learning-focused supervision to develop their professional expertise and ensure that they are meeting the standards of excellence in education. By embracing this approach, educators can enhance their teaching practice, improve student outcomes, and ultimately make a positive impact on the lives of those they serve.
#Learningfocused #Supervision #Developing #Professional #Expertise #Standa #GOOD
Supervised Machine Learning For Kids (Tinker Toddlers)
Supervised Machine Learning For Kids (Tinker Toddlers)
Price : 20.69
Ends on : N/A
View on eBay
Supervised Machine Learning For Kids (Tinker Toddlers)Are you looking for a fun and interactive way to introduce your little ones to the world of machine learning? Look no further than Tinker Toddlers, a program designed to teach young children the basics of supervised machine learning.
Through hands-on activities and games, Tinker Toddlers helps kids understand how machines can learn from data and make predictions. By using simple and engaging tools, children can learn how to label data, train models, and test their predictions.
With Tinker Toddlers, kids can develop critical thinking skills, problem-solving abilities, and a curiosity for technology at an early age. Whether your child is a future data scientist or just curious about how machines work, Tinker Toddlers is the perfect introduction to supervised machine learning.
So why wait? Enroll your child in Tinker Toddlers today and watch them embark on an exciting journey into the world of machine learning!
#Supervised #Machine #Learning #Kids #Tinker #Toddlers
Teacher Supervision and Evaluation : Theory into Practice, Paperback by Nolan…
Teacher Supervision and Evaluation : Theory into Practice, Paperback by Nolan…
Price : 188.87
Ends on : N/A
View on eBay
In “Teacher Supervision and Evaluation: Theory into Practice,” author Nolan offers a comprehensive guide to effectively supervise and evaluate teachers in educational settings. This paperback book delves into the theoretical underpinnings of teacher supervision and evaluation, providing practical strategies and tools for school administrators and leaders.Nolan’s book emphasizes the importance of creating a supportive and collaborative environment for teachers, where feedback and professional development are key components of the evaluation process. By integrating theory with practical applications, this book equips educators with the knowledge and skills needed to enhance teacher performance and improve student outcomes.
Whether you are a new or experienced school leader, “Teacher Supervision and Evaluation: Theory into Practice” is a valuable resource that will help you navigate the complexities of teacher evaluation and supervision. Pick up your copy today and transform theory into practice in your school or district.
#Teacher #Supervision #Evaluation #Theory #Practice #Paperback #Nolan..
Robert Munro Human-in-the-Loop Machine Learning (Paperback)
Robert Munro Human-in-the-Loop Machine Learning (Paperback)
Price : 85.26
Ends on : N/A
View on eBay
Introducing “Robert Munro Human-in-the-Loop Machine Learning” – A must-read for anyone interested in the intersection of human intelligence and machine learning. In this groundbreaking book, Robert Munro explores the powerful combination of human expertise and machine learning algorithms to create more accurate and efficient AI systems.From practical case studies to theoretical insights, Munro delves into the ways in which human-in-the-loop machine learning can revolutionize industries ranging from healthcare to finance. By harnessing the unique strengths of both humans and machines, organizations can achieve unprecedented levels of accuracy and scalability in their AI applications.
Whether you’re a data scientist, AI enthusiast, or simply curious about the future of technology, “Robert Munro Human-in-the-Loop Machine Learning” is a must-have addition to your library. Order your paperback copy today and embark on a journey to unlock the full potential of human-in-the-loop machine learning!
#Robert #Munro #HumanintheLoop #Machine #Learning #Paperback
Community work: Learning and supervision (National Institute social services li
Community work: Learning and supervision (National Institute social services li
Price : 21.96
Ends on : N/A
View on eBay
Community work: Learning and supervision at the National Institute of Social ServicesAt the National Institute of Social Services, community work is a core component of our mission to support and empower individuals and families in need. Through our community work programs, we provide essential services and resources to those facing challenges such as poverty, homelessness, and mental health issues.
One key aspect of our community work programs is learning and supervision. We believe that ongoing education and support are essential for our staff and volunteers to effectively serve our community. Through regular training sessions, workshops, and mentorship programs, we ensure that our team is equipped with the knowledge and skills needed to make a positive impact.
Supervision is also a crucial component of our community work. Our supervisors provide guidance, feedback, and support to our staff and volunteers, helping them navigate challenging situations and make informed decisions. By fostering a culture of open communication and collaboration, we ensure that everyone involved in our community work programs feels supported and valued.
Through our commitment to learning and supervision, we strive to continuously improve our community work programs and deliver the highest quality of service to those in need. We are proud to be a part of a team that is dedicated to making a difference in the lives of others and building a stronger, more resilient community.
#Community #work #Learning #supervision #National #Institute #social #services
Accountability for Learning: How Te…, Reeves, Douglas
Accountability for Learning: How Te…, Reeves, Douglas
Price : 7.69
Ends on : N/A
View on eBay
Accountability for Learning: How Teachers Can Foster Responsibility in StudentsIn his book “Accountability for Learning,” education expert Douglas Reeves explores the importance of instilling a sense of responsibility in students for their own learning outcomes. Reeves argues that when students are held accountable for their academic progress, they are more likely to take ownership of their education and strive for success.
One key way that teachers can foster accountability in students is by setting clear expectations and goals. By clearly outlining what is expected of them and what they need to achieve, students are better able to understand their role in the learning process. Teachers can also provide regular feedback and assessments to help students track their progress and make adjustments as needed.
Another important aspect of accountability is creating a supportive learning environment where students feel empowered to take risks and learn from their mistakes. Teachers can encourage students to reflect on their learning process, set goals for improvement, and take responsibility for their actions.
Overall, accountability for learning is essential for helping students develop the skills and mindset needed for success in school and beyond. By fostering a sense of responsibility in students, teachers can empower them to take control of their education and reach their full potential.
#Accountability #Learning #Te.. #Reeves #Douglas
Jo – Machine Learning Foundations Supervised Unsupervised and Adv – T9000z
Jo – Machine Learning Foundations Supervised Unsupervised and Adv – T9000z
Price : 222.83
Ends on : N/A
View on eBay
Jo – Machine Learning Foundations: Supervised, Unsupervised, and Advanced – T9000zIn this post, we will delve into the world of machine learning and explore the foundational concepts of supervised and unsupervised learning, as well as advanced techniques using the powerful T9000z model.
Supervised learning is a type of machine learning where the algorithm is trained on a labeled dataset, meaning that the input data is paired with the correct output. This allows the algorithm to learn from the labeled examples and make predictions on new, unseen data. Common algorithms used in supervised learning include linear regression, decision trees, and support vector machines.
Unsupervised learning, on the other hand, involves training the algorithm on an unlabeled dataset. The algorithm must find patterns and relationships in the data without any guidance from labeled examples. Clustering algorithms, such as k-means and hierarchical clustering, are commonly used in unsupervised learning to group similar data points together.
Moving on to advanced machine learning techniques, the T9000z model is a cutting-edge neural network that utilizes deep learning algorithms to perform complex tasks. This model is capable of handling large amounts of data and can learn intricate patterns and features in the data to make accurate predictions.
In conclusion, understanding the basics of supervised and unsupervised learning is crucial for building a strong foundation in machine learning. By exploring advanced techniques like the T9000z model, we can push the boundaries of what is possible with machine learning and unlock new opportunities for innovation and discovery. So dive into the world of machine learning and unleash the power of T9000z!
#Machine #Learning #Foundations #Supervised #Unsupervised #Adv #T9000z
Supervision As Collaboration In The Human Services: Building A Learning Cul…
Supervision As Collaboration In The Human Services: Building A Learning Cul…
Price : 200.52
Ends on : N/A
View on eBay
tureSupervision in the human services field is often viewed as a hierarchical relationship, with the supervisor holding authority over the supervisee. However, a more effective and empowering approach to supervision is to view it as a collaboration between colleagues working towards a common goal of improving client outcomes and professional development.
Building a learning culture within a human services organization can greatly enhance the effectiveness of supervision and ultimately benefit the clients being served. By creating a culture of continuous learning and growth, supervisors and supervisees can engage in ongoing dialogue, reflection, and feedback that promotes personal and professional development.
Supervisors can support this collaborative approach by providing opportunities for supervisees to engage in self-assessment, goal setting, and reflective practice. By fostering a culture of openness and trust, supervisors can create an environment where supervisees feel empowered to share their thoughts, ideas, and challenges without fear of judgment.
Additionally, supervisors can model a commitment to lifelong learning by actively seeking out opportunities for their own professional development and sharing new knowledge and skills with their supervisees. By demonstrating a dedication to learning and growth, supervisors can inspire supervisees to do the same.
Ultimately, supervision as collaboration in the human services field is about creating a supportive and empowering environment where all team members are committed to continuous learning and improvement. By building a culture of collaboration and learning, human services organizations can better support their staff and ultimately enhance the quality of care provided to clients.
#Supervision #Collaboration #Human #Services #Building #Learning #Cul..
