‘Task’, ‘Dexter Resurrection’, 'Alien Earth' and all your latest TV addictions. https://letterboxd.com/needsintro/ Deep dives into your favorite shows Mailto:[email protected] I recommend music, movies and TV and discuss current TV shows in depth. We appreciate any fandom, so let us know what topic you may want to learn more about.
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The podcast that keeps it real with NO sugar coating No fluff just REAL TALK
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An introduction
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Idk
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Poetry/Spoken word
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math 2 h
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my introduction
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Introducing myself to world.
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The Homeless Diaries: Tales of a Broken Man explores #ToxicMasculinity in 21st-century South Africa, where the dynamics are complicated by race, class, and identity in a constantly evolving society.
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Welcome to the Kannywoodfilmcritique. Introduction podcast, where amazing things happen.
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Introduction to project
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An introductionary Podcast. A mental health podcast about advocacy and breaking the stigma of mental illness
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Check out our very first podcast where we introduce ourselves and tackle perfectionism. We talk about how we met, what led us to share our chats with you all and most importantly how perfectionism has held us back from our training, our parenting journeys and even starting this podcast.
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The Introduction to Artificial Intelligence (Audio Course) provides a comprehensive, audio-first journey through the foundations, applications, and future directions of AI. Listeners will explore how machines learn, reason, and act, with episodes covering technical concepts, industry use cases, ethical issues, and global impacts. Designed for students, professionals, and career changers alike, this course delivers clear, structured insights that make AI accessible and relevant across domains ...
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A small introduction of my self.
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introduction to erp
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Introducing myself and the plans I have for this podcast👌🏾
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Une introduction pour les prochains podcasts.
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The Introduction to great things thats to follow in my coming episodes.
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Music business
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MaskOff Introduction Cover art photo provided by Javardh on Unsplash: https://unsplash.com/@_javardh_001
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This podcast is about the introduction of my pod let’s do this thing show love peeps let’s do it Cover art photo provided by Tyler Lastovich on Unsplash: https://unsplash.com/@lastly
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My introduction about myself!
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https://www.youtube.com/channel/UCGs71vsKZagvK98LYpEz40Q
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Welcome to the world of Southern Slang and common sense! Positive energy and chill ass vibes
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Lonely? Hi, nice to meet you :)
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Frequently asked questions
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Introduction
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'Task' Episode 5 'Vagrants' PLUS: 'Monsters: Ed Gein' Review
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1:01:28In this episode of 'Need Some Introduction,' hosts Victor and Sona delve into the highly anticipated and suspenseful fifth episode of HBO Max's 'Vagrant.s' They discuss key plot points including the unfolding tension between characters, the thematic elements of redemption and faith, and significant character developments. The episode reveals Grasso…
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discussion on how to take time for yourself to control stress
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Episode 24: Early Motherhood – What I Expected vs. What Really Happened
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38:31In this heartfelt episode, we reflect on the early years of motherhood—what we thought it would be like, and the reality that hit us like a sleep-deprived freight train. We talk about the biggest shocks, like the crushing lack of sleep, the feeling of losing yourself, and the constant need to adapt as your priorities shift. But also, the overwhelmi…
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An Exclusive First Listen to The Homeless Diaries: Tales of a Broken Man by Siya Mchunu, read by the Author
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4:41I have finally plucked up the courage to record a daily reading of my fictional eBook titled The Homeless Diaries: Tales of a Broken Man, which explores toxic masculinity in 21st-century South Africa, where the dynamics are complicated by class, race, and identity in a constantly evolving society.저자 heelextension
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Episode 48 — Final Thoughts — The Future Is Ours to Shape
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38:13The final episode closes the series by reflecting on AI’s future and the shared responsibility of shaping it. We begin by revisiting the transformative power of AI, from its applications in healthcare and education to its potential for climate solutions and scientific discovery. We also emphasize risks of misuse in surveillance, manipulation, and m…
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'One Battle After Another' Full Breakdown and Recap PLUS: 'The Lost Bus' Mini-Review
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1:19:56In this episode of 'Need Some Introduction,' host Victor, joined by co-host Darren, dives into an in-depth review of the new Paul Thomas Anderson film, 'One Battle After Another.' They cover the film's thematic elements, standout performances, direction, and its impact on viewers, while also making connections to Anderson's previous works. Darren s…
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Victor and Sona break down the latest episode of 'Task' on HBO Max, 'All Roads'. Despite some tonal whiplash, this episode has real consequences as the mini-series begins to set up it's finale. mailto:[email protected]저자 Needs Some Introduction
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In this episode of 'Need Some Introduction,' Victor and Darren reflect on the underwhelming season finale of 'Alien Earth,' discussing its plot contrivances, character arcs, and cliffhanger ending. They critique the show’s failure to resolve key storylines and express frustration with the lack of meaningful stakes. They prepare to see 'One Battle A…
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'Task' Episode 3 'Nobody's Stronger Than Forgiveness' Plus: 'Black Rabbit' Recommendation
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1:05:14Victor and Sona break down the latest episode of Task on HBO Max after some movie premiere announcements and a spoiler free review of 'Black Rabbit' mailto:[email protected] 00:00 Introduction and Upcoming Podcast Coverage 08:18 'Black Rabbit' Review 12:33 Episode Breakdown Begins 55:15 Final Thoughts…
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What is legal to say & not legal FREE SPEECH
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'Alien Earth' Episode 7 'Emergence' PLUS: Robert Redford Recommendations
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54:48Victor has school open house tonight so it's a solo recap of a plot filled but disappointing episode of the show, just a week away from the finale. First, he provides a short spoiler free review of 'The Long Walk'. Lastly, he reflects on the legacy of Robert Redford. mailto:[email protected] 00:00 Introduction and Upcoming Podcast Cov…
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'Task' Episode 2 'Family Statements' PLUS: Emmy Reactions
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1:09:37In this episode of 'Need, Some Introduction,' the hosts delve into the second episode of HBO’s hit series 'Task.' They begin by recapping the latest Emmy Award winners and transition into dissecting the intricate plotlines and character developments in 'Task.' Key points include an exploration of family dynamics, faith, and forgiveness, with a part…
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Victor and Darren break down all the gooey deaths and character alienation (see what I did there) in the latest episode of Alien Earth. mailto:[email protected] 00:00 - Introduction and Episode Overview 03:00 - Has Culture Stagnated in the past 24 years? 06:00 - 'Dexter' 'Task' and other HBO and Warner Brothers News 13:30 - Weekend Mo…
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Episode 47 — Building a Career in AI — Roles and Skills
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38:29AI is not just changing industries; it is also shaping careers. This episode explores the landscape of professional roles, from data scientists and machine learning engineers to AI ethics specialists and policy advisors. We cover the technical skills needed, including programming, statistics, linear algebra, and deep learning frameworks, as well as…
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Episode 46 — Global Competition in AI — U.S., China, and Beyond
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39:11AI is not just a technical field but a geopolitical one, with nations competing for leadership. This episode begins by examining the United States, with its strong base of academic research, private-sector innovation, and military investment. We then explore China’s national AI strategy, state-driven funding, and rapid adoption across industries. T…
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While AI offers opportunity, it also introduces risks ranging from immediate harms to existential threats. This episode begins with short-term issues: biased decision-making, privacy violations, job disruption, and the spread of misinformation. We then move to longer-term concerns such as structural inequality, concentration of power, and misuse of…
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Quantum computing represents a radical shift in computation that could accelerate AI research. This episode introduces the basics of qubits, superposition, and entanglement, explaining how quantum systems differ from classical binary logic. We cover quantum gates, circuits, and algorithms such as Shor’s and Grover’s, showing their relevance to sear…
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AI is being applied to one of humanity’s most pressing challenges: climate change. This episode explores how AI analyzes satellite imagery, sensor data, and weather models to predict extreme events such as hurricanes, floods, and wildfires. We examine energy grid optimization, where AI balances renewable and conventional sources, and smart building…
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Episode 42 — AI and Creativity — Music, Art, and Writing
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34:05Creativity was once thought uniquely human, but AI is increasingly active in music, art, and writing. This episode begins with early experiments in rule-based composition and visual generation, then moves to modern systems powered by deep learning and generative adversarial networks. We explore how AI composes melodies, paints digital canvases, and…
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Episode 41 — Hybrid Intelligence — Humans and Machines Together
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36:45Hybrid intelligence recognizes that humans and machines each bring unique strengths to problem-solving. This episode explores the concept in detail, beginning with human skills such as creativity, empathy, and contextual judgment, and contrasting them with machine abilities like speed, scalability, and data processing. We discuss human-in-the-loop …
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Artificial General Intelligence, or AGI, represents one of the most ambitious goals in AI research: the creation of systems that can perform a wide variety of tasks with human-level flexibility. This episode begins by distinguishing narrow AI, which excels in specialized tasks, from AGI, which seeks broad adaptability. We explore early visions of A…
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Episode 39 — Philosophical Perspectives on AI and Consciousness
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34:39Beyond technical and practical questions, AI raises profound philosophical debates. This episode begins with Alan Turing’s foundational question — can machines think? — and examines the Turing Test as an early benchmark. We contrast it with John Searle’s Chinese Room argument, which challenges whether machines truly “understand” or merely manipulat…
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AI is transforming national security strategies worldwide. This episode begins with intelligence analysis, where AI processes signals, satellite images, and vast text datasets at speeds impossible for humans. We then look at cybersecurity, where AI is used for intrusion detection, malware analysis, and automated response. Military applications incl…
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Episode 37 — AI and Law — Regulation, Liability, and Rights
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34:32As AI spreads across every sector, law is racing to keep pace. This episode begins with an overview of national and regional approaches, including the European Union’s AI Act, the United States’ sector-based regulations, and international guidelines developed by organizations such as OECD and UNESCO. We explore how laws address data protection, alg…
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Episode 36 — AI and Employment — Jobs Lost, Jobs Created
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30:23AI is reshaping the workplace as profoundly as earlier industrial revolutions. This episode begins by exploring the jobs most vulnerable to automation, including roles in manufacturing, logistics, and clerical work, where routine tasks can be replicated by machines. It also highlights categories of work less likely to be displaced, such as roles re…
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AI systems are powerful, but when their outputs cannot be understood, they risk losing trust. This episode explores transparency and explainability as core qualities for responsible AI. We begin by distinguishing between transparency — openness about how systems are designed and trained — and explainability, which focuses on how specific decisions …
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AI systems thrive on data, but the more data they use, the greater the risk to privacy. This episode begins with an overview of the types of data AI consumes: personal identifiers, biometric data, location information, and behavioral profiles. We explore risks such as mass surveillance, re-identification of anonymized data, and unauthorized sharing…
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No issue highlights AI’s societal impact more sharply than bias and fairness. This episode begins by defining bias in AI systems and tracing its sources to data, algorithms, and human choices. We explore data bias, such as underrepresentation of certain groups, and algorithmic bias, where optimization reinforces inequities. Examples include facial …
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Episode 32 — AI in Everyday Life — Virtual Assistants, Smart Homes
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27:59AI is no longer confined to labs or corporations; it lives in homes, cars, and devices people use every day. This episode introduces virtual assistants such as Siri, Alexa, and Google Assistant, which rely on natural language processing to respond to voice commands. We explore smart home hubs that connect appliances, lighting, and climate systems, …
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Entertainment and media have embraced AI in ways that are visible to millions of people every day. This episode explores recommendation engines that power streaming platforms like Netflix, YouTube, and Spotify, curating what viewers and listeners see next. We also examine AI’s role in generating personalized playlists, building news feeds, and even…
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Government and defense agencies are among the most active adopters of AI, using it to improve efficiency, security, and decision-making. This episode begins with early uses in census processing and logistics, then moves into predictive analytics for budgeting, resource allocation, and social services. We’ll examine policing applications, including …
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Education is a sector where AI promises to personalize learning at scale. This episode looks at intelligent tutoring systems, adaptive learning platforms, and automated grading tools that free teachers to focus on higher-value tasks. Natural language processing supports writing feedback, while speech recognition powers language-learning tools. Pred…
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AI has become central to how goods are made, moved, and delivered. This episode begins with predictive maintenance, where algorithms detect failures before they occur, saving costs and preventing downtime. Quality control through computer vision, process optimization, and demand forecasting illustrate AI’s reach inside the factory. In logistics, wa…
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In retail and marketing, AI’s role is visible every time you see a product recommendation or dynamic pricing change. This episode examines how customer segmentation, recommendation engines, and personalization platforms shape consumer experiences. We discuss demand forecasting, inventory management, and visual search as tools for operational effici…
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Finance has always been data-driven, making it a natural fit for AI. In this episode, we cover early uses like algorithmic trading and credit scoring before moving into today’s advanced applications. Fraud detection systems flag suspicious transactions, while risk models forecast credit and market exposure. Personalized financial services, robo-adv…
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Few fields show AI’s potential more vividly than healthcare. This episode begins with diagnostic support systems, from early expert tools like MYCIN to today’s advanced medical imaging models that detect tumors and abnormalities in X-rays and MRIs. We explore predictive analytics for patient outcomes, genomics and precision medicine for tailoring t…
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AI is not confined to the cloud — it increasingly lives in the devices around us. This episode introduces edge AI, where models run locally on Internet of Things (IoT) devices. Benefits include lower latency, improved privacy, and functionality even without network connections. We’ll explain how embedded machine learning models are compressed and o…
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Not every organization can build AI systems from scratch, and cloud AI services fill this gap by offering ready-made tools. This episode explains how major providers such as Amazon Web Services, Microsoft Azure, and Google Cloud deliver APIs for natural language processing, vision, and speech. Pre-trained models allow companies to adopt AI quickly,…
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Episode 22 — Human–AI Interaction — Interfaces and Usability
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32:46For AI to succeed, people must be able to use it effectively. This episode examines the design of interfaces that allow humans to interact with AI in ways that are intuitive, transparent, and supportive of trust. We start with dashboards, conversational agents, and voice interfaces, then explore adaptive systems that personalize recommendations and…
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AI systems are only as good as the data and assumptions that shape them, and many fail because of recurring pitfalls. This episode outlines the most common problems, starting with poor data quality, unbalanced datasets, and labeling errors. We’ll discuss sampling bias, measurement bias, and the use of proxy variables that inadvertently encode sensi…
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Knowing that an AI model works is not enough — we need to know how well it works, and under what conditions. This episode explores the frameworks and metrics used to evaluate AI performance. We begin with accuracy, precision, recall, F1 score, and confusion matrices for classification problems, then move to regression metrics like mean squared erro…
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Once data is prepared, models must be built and evaluated with rigor. This episode covers the three pillars of evaluation: training, validation, and testing. Training introduces the algorithm to data, refining weights and parameters over multiple epochs. Validation checks progress midstream, guiding hyperparameter tuning and preventing overfitting.…
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Data is not just fuel for AI; it must be carefully gathered, cleaned, and prepared to produce reliable results. This episode breaks down the full lifecycle of data preparation, from collection through preprocessing. You’ll hear about structured, semi-structured, and unstructured data, and the importance of cleaning, labeling, and augmenting dataset…
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While much of AI lives in code and data, robotics brings intelligence into the physical world. This episode examines how robots integrate sensing, reasoning, and action. We begin with perception technologies such as cameras, lidar, and tactile sensors, followed by motion planning, control systems, and kinematic models that enable movement. Manipula…
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Speech is one of the most natural ways humans communicate, and AI systems are increasingly able to listen and respond. This episode covers speech recognition, the conversion of audio into text, and speech generation, the production of lifelike voice outputs. We trace the path from early statistical methods like hidden Markov models to deep learning…
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Episode 15 — Computer Vision — Teaching Machines to See
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28:29The ability to process visual information has been a defining achievement for AI. In this episode, we explore how computer vision allows machines to interpret and analyze images and video. We start with early techniques like edge detection and feature extraction, then move into modern convolutional neural networks that revolutionized accuracy in ob…
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Episode 14 — Natural Language Processing — How Machines Understand Text
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27:02Language is one of the most human forms of intelligence, and this episode explores how AI systems learn to read, interpret, and generate text. We begin with early approaches like rule-based translation, then move into statistical models such as bag-of-words and word embeddings. Tokenization, part-of-speech tagging, syntax parsing, and semantic anal…
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Deep learning represents the cutting edge of neural networks, pushing performance far beyond earlier methods. In this episode, we define deep learning as networks with many layers capable of learning hierarchical features, supported by massive datasets and specialized hardware like GPUs. We’ll explore architectures including convolutional neural ne…
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Artificial neural networks are inspired by the structure of the human brain but simplified into mathematical models that drive today’s most powerful AI systems. In this episode, we begin with the perceptron, an early model of a single artificial neuron, then explore how weights, activation functions, and layers combine to process information. Multi…
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Episode 11 — Machine Learning Foundations — Supervised, Unsupervised, Reinforcement
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23:40Machine learning is the beating heart of modern AI, and this episode introduces its three foundational approaches: supervised, unsupervised, and reinforcement learning. We begin with supervised learning, where labeled data pairs inputs with correct outputs, powering tasks like classification and regression. We then shift to unsupervised learning, w…
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