APS-PGT Maths Exam PDF-Army Public School PGT Mathematics Exam-Mathematics Subject Only PDF eBook
Title | APS-PGT Maths Exam PDF-Army Public School PGT Mathematics Exam-Mathematics Subject Only PDF eBook PDF eBook |
Author | Chandresh Agrawal |
Publisher | Chandresh Agrawal |
Pages | 414 |
Release | 2023-09-21 |
Genre | Study Aids |
ISBN |
SGN.The APS-PGT Maths Exam PDF-Army Public School PGT Mathematics Exam-Mathematics Subject Only PDF eBook Covers Objective Questions With Answers.
APS-PGT (Mathematics) Exam PDF-Mathematics Subject Practice Sets eBook
Title | APS-PGT (Mathematics) Exam PDF-Mathematics Subject Practice Sets eBook PDF eBook |
Author | Chandresh Agrawal |
Publisher | Chandresh Agrawal |
Pages | 390 |
Release | 2024-09-22 |
Genre | Mathematics |
ISBN |
SGN. The APS-PGT (Mathematics) Exam PDF-Mathematics Subject Practice Sets eBook Covers Objective Questions With Answers.
Teacher Education: Concepts, Methodologies, Tools, and Applications
Title | Teacher Education: Concepts, Methodologies, Tools, and Applications PDF eBook |
Author | Management Association, Information Resources |
Publisher | IGI Global |
Pages | 1699 |
Release | 2016-05-19 |
Genre | Education |
ISBN | 1522501657 |
Educators play a significant role in the intellectual and social development of children and young adults. Next-generation teachers can only be as strong as their own educational foundation which serves to cultivate their knowledge of the learning process, uncover best practices in the field of education, and employ leadership abilities that will inspire students of all ages. Teacher Education: Concepts, Methodologies, Tools, and Applications explores the current state of pre-service teacher programs as well as continuing education initiatives for in-service educators. Emphasizing the growing role of technology in teacher skill development and training as well as key teaching methods and pedagogical developments, this multi-volume work compiles research essential to higher education professionals and administrators, educational software developers, and researchers studying pre-service and in-service teacher training.
SSB Interview: The Complete Guide, Second Edition
Title | SSB Interview: The Complete Guide, Second Edition PDF eBook |
Author | Dr. N. K. Natarajan |
Publisher | Jaico Publishing House |
Pages | 473 |
Release | 2021-07-05 |
Genre | Study Aids |
ISBN | 8184955693 |
Simplifying All The Steps: • Screening Test • Psychological Test • Group Testing • Interview • Conference Procedure With Dynamic Topics: • Service-related Information • Geopolitics • National Issues In this new and updated edition the author takes the candidates through the various stages of the SSB test. He lists out the different phases of the tests that are conducted in exact sequential order with his vast experience in this field. The content in this new edition has been divided into two parts and nine sections. The first part addresses the screening tests, which includes verbal, non-verbal, picture perception and discussion tests followed by psychological tests, group testing, interview techniques and conference procedure. The second part covers service-related information, geopolitics and national issues. KEY FEATURES • Simplified and reader-friendly approach towards all necessary steps: Screening Test, Psychological Test Series, Group Testing Series, Interview Techniques and Conference Procedure • Coverage of essential topics like Service-Related Information with Geopolitics and National Issues DR (CDR) N K NATARAJAN has an experience of over 25 years in the Indian Navy, and a three year stint as a Group Testing Officer at the Selection Center in Bhopal. In addition to serving in the navy, he also holds a degree in management and a doctorate in psychology. He has helped assess more than 1500 candidates during his term as a selection officer.
Science and Mathematics
Title | Science and Mathematics PDF eBook |
Author | Jayant V. Narlikar |
Publisher | Taylor & Francis |
Pages | 181 |
Release | 2021-11-29 |
Genre | Mathematics |
ISBN | 1000433242 |
This book offers an engaging and comprehensive introduction to scientific theories and the evolution of science and mathematics through the centuries. It discusses the history of scientific thought and ideas and the intricate dynamic between new scientific discoveries, scientists, culture and societies. Through stories and historical accounts, the volume illustrates the human engagement and preoccupation with science and the interpretation of natural phenomena. It highlights key scientific breakthroughs from the ancient to later ages, giving us accounts of the work of ancient Greek and Indian mathematicians and astronomers, as well as of the work of modern scientists like Descartes, Newton, Planck, Mendel and many more. The author also discusses the vast advancements which have been made in the exploration of space, matter and genetics and their relevance in the advancement of the scientific tradition. He provides great insights into the process of scientific experimentation and the relationship between science and mathematics. He also shares amusing anecdotes of scientists and their interactions with the world around them. Detailed and accessible, this book will be of great interest to students and researchers of science, mathematics, the philosophy of science, science and technology studies and history. It will also be useful for general readers who are interested in the history of scientific discoveries and ideas.
Foundations of Statistical Natural Language Processing
Title | Foundations of Statistical Natural Language Processing PDF eBook |
Author | Christopher Manning |
Publisher | MIT Press |
Pages | 719 |
Release | 1999-05-28 |
Genre | Language Arts & Disciplines |
ISBN | 0262303795 |
Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools. It provides broad but rigorous coverage of mathematical and linguistic foundations, as well as detailed discussion of statistical methods, allowing students and researchers to construct their own implementations. The book covers collocation finding, word sense disambiguation, probabilistic parsing, information retrieval, and other applications.
Core Concepts in Data Analysis: Summarization, Correlation and Visualization
Title | Core Concepts in Data Analysis: Summarization, Correlation and Visualization PDF eBook |
Author | Boris Mirkin |
Publisher | Springer Science & Business Media |
Pages | 402 |
Release | 2011-04-05 |
Genre | Computers |
ISBN | 0857292870 |
Core Concepts in Data Analysis: Summarization, Correlation and Visualization provides in-depth descriptions of those data analysis approaches that either summarize data (principal component analysis and clustering, including hierarchical and network clustering) or correlate different aspects of data (decision trees, linear rules, neuron networks, and Bayes rule). Boris Mirkin takes an unconventional approach and introduces the concept of multivariate data summarization as a counterpart to conventional machine learning prediction schemes, utilizing techniques from statistics, data analysis, data mining, machine learning, computational intelligence, and information retrieval. Innovations following from his in-depth analysis of the models underlying summarization techniques are introduced, and applied to challenging issues such as the number of clusters, mixed scale data standardization, interpretation of the solutions, as well as relations between seemingly unrelated concepts: goodness-of-fit functions for classification trees and data standardization, spectral clustering and additive clustering, correlation and visualization of contingency data. The mathematical detail is encapsulated in the so-called “formulation” parts, whereas most material is delivered through “presentation” parts that explain the methods by applying them to small real-world data sets; concise “computation” parts inform of the algorithmic and coding issues. Four layers of active learning and self-study exercises are provided: worked examples, case studies, projects and questions.