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Illegal Argument

Mark Derricutt, Greg Amer and Richard Vowles

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Greg, Mark and Richard get together weekly and talk about things of interest in the Java community. Greg works for SimWorks (http://www.simworks.com) who specialize in mobile phone software. Mark works for SecureMX (www.smx.co.nz). Richard works for Blue Train Software (http://www.bluetrainsoftware.com)
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Inside Java

Chad Arimura, David Delabassee

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Inside Java is a podcast for Java Developers brought to you directly from the people that make Java at Oracle. We'll discuss the language, the JVM, OpenJDK, platform security, innovation projects like Loom and Panama, and everything in between.
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Multifamily Excellence explores the ever-evolving world of the multifamily industry. In each episode, WithMe, Inc. CEO Jonathan Treble leads an insightful interview with a world-class multifamily leader to discover how top minds in multifamily are continuously pushing the boundaries for excellence. Guests will provide perspective on their career journeys, share their personal leadership philosophies and offer strategies for achieving operational excellence.
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The No Fluff Just Stuff (NFJS) Software Symposium Tour has delivered over 400 events with over 65,000 attendees. NFJS speakers are well-known developers, authors, and project leaders from the software development community. Join us for news and discussion around software development. Current topics include: Java, JavaScript, Scala, Groovy, Clojure, Cloud, Docker, Software Architecture, HTML 5, CSS, NoSQL, Spring, and other development technologies.
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Welcome to "The AI Chronicles", the podcast that takes you on a journey into the fascinating world of Artificial Intelligence (AI), AGI, GPT-5, GPT-4, Deep Learning, and Machine Learning. In this era of rapid technological advancement, AI has emerged as a transformative force, revolutionizing industries and shaping the way we interact with technology. I'm your host, GPT-5, and I invite you to join me as we delve into the cutting-edge developments, breakthroughs, and ethical implications of A ...
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The Cattle Call Podcast, hosted by Curtis Ohlde will tell the story of America’s Pioneers in the Beef Cattle Industry past and current. Primarily focusing on those in Commercial Production and Seed-Stock Production, Curtis will go on a journey with podcast guest from the starting of the Ranch or Farm through the ups and downs to current operation status. In the United States Beef Cattle Production is relatively new compared to other parts of the world. Recording those 1st, 2nd or 3rd generat ...
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The Java Virtual Machine (JVM) is a crucial component of the Java ecosystem, enabling Java applications to run on any device or operating system that supports it. Developed by Sun Microsystems (now Oracle Corporation), the JVM is responsible for executing Java bytecode, providing a platform-independent execution environment. This "write once, run a…
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In this episode of Multifamily Excellence, Steve Boyack, COO of JVM Realty and President of JVM Management, chronicles his fascinating journey from the Peace Corps to real estate, highlighting the pivotal experiences that shaped his leadership style and business acumen. Steve candidly delves into how his early entrepreneurial endeavors and perilous…
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The Python Package Index (PyPI) is the official repository for Python software packages, serving as a central platform where developers can publish, share, and discover a wide range of Python libraries and tools. Managed by the Python Software Foundation (PSF), PyPI plays a critical role in the Python ecosystem, enabling the easy distribution and i…
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The Distributed Bag of Words (DBOW) is a variant of the Doc2Vec algorithm, designed to create dense vector representations of documents. Introduced by Mikolov et al., DBOW focuses on learning document-level embeddings, capturing the semantic content of entire documents without relying on word order or context within the document itself. This approa…
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Automatic Speech Recognition (ASR) is a transformative technology that enables machines to understand and process human speech. By converting spoken language into text, ASR facilitates natural and intuitive interactions between humans and machines. This technology is integral to various applications, from virtual assistants and transcription servic…
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Self-learning AI refers to systems that have the ability to learn and improve from experience without explicit human intervention. Unlike traditional AI systems that rely on pre-programmed rules and supervised training with labeled data, self-learning AI autonomously explores, experiments, and adapts its behavior based on the feedback it receives f…
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FastText is a library developed by Facebook's AI Research (FAIR) lab for efficient text classification and representation learning. Designed to handle large-scale datasets with speed and accuracy, FastText is particularly valuable for tasks such as word representation, text classification, and sentiment analysis. By leveraging shallow neural networ…
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Logistic regression is a widely-used statistical method for binary classification that models the probability of a binary outcome based on one or more predictor variables. Despite its name, logistic regression is a classification algorithm rather than a regression technique. It is valued for its simplicity, interpretability, and effectiveness, maki…
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Term Frequency-Inverse Document Frequency (TF-IDF) is a widely-used statistical measure in text mining and natural language processing (NLP) that helps determine the importance of a word in a document relative to a collection of documents (corpus). By combining the frequency of a word in a specific document with the inverse frequency of the word ac…
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Few-Shot Learning (FSL) is a cutting-edge approach in machine learning that focuses on training models to recognize and learn from only a few examples. Unlike traditional machine learning models that require large amounts of labeled data to achieve high performance, FSL aims to generalize effectively from limited data. This paradigm is particularly…
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Transformer models represent a groundbreaking advancement in the field of natural language processing (NLP). Introduced in the 2017 paper "Attention is All You Need" by Vaswani et al., Transformers have redefined how machines understand and generate human language. These models leverage a novel architecture based on self-attention mechanisms, allow…
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The Java Runtime Environment (JRE) is a crucial component of the Java ecosystem, providing the necessary environment to run Java applications. Developed by Sun Microsystems, which was later acquired by Oracle Corporation, the JRE encompasses a set of software tools that facilitate the execution of Java programs on any device or operating system tha…
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Cloud computing and artificial intelligence (AI) are two transformative technologies reshaping modern computing and business operations. Cloud computing provides on-demand access to computing resources, enabling scalable, flexible, and cost-effective IT infrastructure. AI leverages advanced algorithms to create intelligent systems that learn, adapt…
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JavaScript is a high-level, dynamic programming language that is a cornerstone of web development. Created by Brendan Eich in 1995 while at Netscape, JavaScript has evolved into one of the most versatile and widely-used languages in the world. It enables developers to create interactive and dynamic web pages, enhancing user experience and functiona…
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Distributed Memory (DM) is a computational architecture in which each processor in a multiprocessor system has its own private memory. This contrasts with shared memory systems where all processors access a common memory space. In DM systems, processors communicate by passing messages through a network, which allows for high scalability and is well…
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One-Shot Learning (OSL) is a powerful machine learning paradigm that aims to recognize and learn from a single or very few training examples. Traditional machine learning models typically require large datasets to achieve high accuracy and generalization. Core Concepts of One-Shot Learning Siamese Networks: Siamese networks are a popular architectu…
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Gensim, short for "Generate Similar," is an open-source library designed for unsupervised topic modeling and natural language processing (NLP). Developed by Radim Řehůřek, Gensim is particularly well-suited for handling large text corpora and building scalable and efficient models for extracting semantic structure from documents. It provides a robu…
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TypeScript is a statically typed superset of JavaScript that brings optional static typing, robust tooling, and advanced language features to JavaScript development. Developed and maintained by Microsoft, TypeScript aims to improve the development experience and scalability of JavaScript projects, especially those that grow large and complex. By co…
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OpenJDK (Open Java Development Kit) is a free and open-source implementation of the Java Platform, Standard Edition (Java SE). Initially released by Sun Microsystems in 2007 and now overseen by the Oracle Corporation along with the Java community, OpenJDK provides a robust, high-performance platform for developing and running Java applications. As …
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OpenCV (Open Source Computer Vision Library) is a highly regarded open-source software library used extensively in the fields of computer vision and image processing. Developed initially by Intel in 1999 and now maintained by an active community, OpenCV provides a robust and efficient framework for developing computer vision applications. With a co…
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Just-In-Time (JIT) compilation is a powerful technique used in computing to improve the runtime performance of programs by compiling code into machine language just before it is executed. This approach blends the advantages of both interpreted and compiled languages, offering the flexibility of interpretation with the execution speed of native mach…
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Doc2Vec, an extension of the Word2Vec model, is a powerful technique for representing entire documents as fixed-length vectors in a continuous vector space. Developed by Mikolov and Le in 2014, Doc2Vec addresses the need to capture the semantic meaning of documents, rather than just individual words. By transforming text into meaningful document em…
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Canva is an innovative online design platform that democratizes graphic design, making it accessible to everyone, regardless of their design expertise. Founded in 2012 by Melanie Perkins, Cliff Obrecht, and Cameron Adams, Canva provides a versatile and intuitive interface that allows users to create stunning visuals for a variety of purposes. From …
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Probability spaces form the foundational framework of probability theory, providing a rigorous mathematical structure to analyze random events and quantify uncertainty. A probability space is a mathematical construct that models real-world phenomena where outcomes are uncertain. Understanding probability spaces is crucial for delving into advanced …
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Probability distributions are essential tools in statistics and probability theory, helping to describe and analyze the likelihood of different outcomes in random processes. These distributions come in two main types: discrete and continuous. Understanding both discrete and continuous probability distributions is crucial for modeling and interpreti…
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Conditional probability is a fundamental concept in probability theory and statistics that quantifies the likelihood of an event occurring given that another event has already occurred. This concept is crucial for understanding and modeling real-world phenomena where events are interdependent. Mastering conditional probability enables one to analyz…
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Quantum technology is poised to revolutionize the field of cryptography, introducing both unprecedented opportunities and significant challenges. Quantum computers, which leverage the principles of quantum mechanics, have the potential to perform complex calculations at speeds far beyond the capabilities of classical computers. This leap in computa…
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Word2Vec is a groundbreaking technique in natural language processing (NLP) that revolutionized how words are represented and processed in machine learning models. Developed by a team of researchers at Google led by Tomas Mikolov, Word2Vec transforms words into continuous vector representations, capturing semantic meanings and relationships between…
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Statistical Machine Translation (SMT) is a methodology in computational linguistics that translates text from one language to another by leveraging statistical models derived from bilingual text corpora. Unlike rule-based methods, which rely on linguistic rules and dictionaries, SMT uses probability and statistical techniques to determine the most …
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Numba is a powerful Just-In-Time (JIT) compiler that translates a subset of Python and NumPy code into fast machine code at runtime using the LLVM compiler infrastructure. Developed by Anaconda, Inc., Numba allows Python developers to write high-performance functions directly in Python, bypassing the need for manual optimization and leveraging the …
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Self-attention mechanisms have become a cornerstone of modern deep learning, particularly in the fields of natural language processing (NLP) and computer vision. This innovative technique enables models to dynamically focus on different parts of the input sequence when computing representations, allowing for a more nuanced and context-aware underst…
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IronPython is an implementation of the Python programming language targeting the .NET Framework and Mono. Developed by Jim Hugunin and later maintained by the open-source community, IronPython allows Python developers to take full advantage of the .NET ecosystem, enabling seamless integration with .NET libraries and tools. By compiling Python code …
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CPython is the reference implementation and the most widely-used version of the Python programming language. Developed and maintained by the Python Software Foundation, CPython is written in C and serves as the de facto standard for Python interpreters. It compiles Python code into bytecode before interpreting it, enabling Python’s high-level langu…
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Cython is a powerful programming language that serves as a bridge between Python and C, enabling Python developers to write C extensions for Python code. By compiling Python code into highly optimized C code, Cython significantly enhances the performance of Python applications, making it an indispensable tool for developers who need to leverage the…
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PyCharm is a comprehensive Integrated Development Environment (IDE) designed specifically for Python programming, developed by JetBrains. Known for its robust toolset, PyCharm supports Python development in a variety of contexts, including web development, data science, artificial intelligence, and more. By integrating essential tools such as code …
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Hugging Face Transformers is a groundbreaking open-source library that provides a comprehensive suite of state-of-the-art pre-trained models for Natural Language Processing (NLP). As a leading tool in the AI community, it facilitates easy access to models like BERT, GPT, T5, and others, which are capable of performing a variety of NLP tasks includi…
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Neural Machine Translation (NMT) is a breakthrough approach in the field of machine translation that leverages deep neural networks to translate text from one language to another. Unlike traditional statistical machine translation methods, NMT models the entire translation process as a single, integrated neural network that learns to convert sequen…
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Attention mechanisms have revolutionized the field of machine learning, particularly in natural language processing (NLP) and computer vision. By enabling models to focus selectively on relevant parts of the input data, attention mechanisms improve the interpretability and efficiency of neural networks. These mechanisms are crucial in tasks where t…
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Hidden Markov Models (HMM) are a class of statistical models that play a pivotal role in the analysis of sequential data, where the states of the process generating the data are hidden from observation. HMMs are particularly renowned for their applications in time series analysis, speech recognition, and bioinformatics, among other fields. By model…
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Sentiment analysis, a key branch of natural language processing (NLP), involves the computational study of opinions, sentiments, and emotions expressed in text. It is used to determine whether a given piece of writing is positive, negative, or neutral, and to what degree. This technology empowers businesses and researchers to gauge public sentiment…
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PyPy is an alternative implementation of the Python programming language, designed to be fast and efficient. Unlike CPython, which is the standard and most widely-used implementation of Python, PyPy focuses on performance, utilizing Just-In-Time (JIT) compilation to significantly increase the execution speed of Python programs. Core Features of PyP…
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Temporal Difference (TD) Learning represents a cornerstone of modern artificial intelligence, particularly within the domain of reinforcement learning (RL). This method combines ideas from Monte Carlo methods and dynamic programming to learn optimal policies based on incomplete sequences, without needing a model of the environment. TD Learning stan…
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Stanford NLP (Natural Language Processing) represents the forefront of research and development in the field of computational linguistics. Based at Stanford University, one of the world's leading institutions for research and higher education, the Stanford NLP group is renowned for its groundbreaking contributions to language understanding and mach…
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Julia is a high-level, high-performance programming language for technical computing, with syntax that is familiar to users of other technical computing environments. Designed to address the needs of high-performance numerical and scientific computing, Julia blends the speed of compiled languages like C with the usability of dynamic scripting langu…
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RPython, short for Restricted Python, is a highly efficient programming language framework designed to facilitate the development of fast and flexible language interpreters. Originally part of the PyPy project, which is a fast, compliant alternative implementation of Python, RPython has been crucial in enabling the translation of simple and high-le…
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Jython is an implementation of the Python programming language designed to run on the Java platform. It seamlessly integrates Python's simplicity and elegance with the robust libraries and enterprise-level capabilities of Java, allowing developers to blend the best of both worlds in their applications. By compiling Python code into Java bytecode, J…
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Apache OpenNLP is a machine learning-based toolkit for the processing of natural language text, designed to support the most common NLP tasks such as tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing, and coreference resolution. As part of the Apache Software Foundation, OpenNLP offers a flexibl…
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Machine Translation (MT) is a pivotal technology within the field of computational linguistics that enables the automatic translation of text or speech from one language to another. By leveraging advanced algorithms and vast databases of language data, MT helps break down communication barriers, facilitating global interaction and access to informa…
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Flask is a lightweight and powerful web framework for Python, known for its simplicity and fine-grained control. It provides the tools and technologies needed to build web applications quickly and efficiently, without imposing the more cumbersome default structures and dependencies that come with larger frameworks. Since its release in 2010 by Armi…
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The Nelder-Mead Simplex Algorithm, often simply referred to as the simplex algorithm or Nelder-Mead methode, is a widely used technique for performing nonlinear optimization tasks that do not require derivatives. Developed by John Nelder and Roger Mead in 1965, this algorithm is particularly valuable in real-world scenarios where derivative informa…
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