Harlan d k (55 resultados)

Hardcover. Condición: Good. No Jacket. Missing dust jacket; Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Hardcover. Condición: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Condición: Fine. First Edition. Used book that is in almost brand-new condition. May contain a remainder mark. Better World Books: Buy Books. Do Good.

Condición: Good. First Edition. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Hardcover. Condición: Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority.

Condición: good. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Good condition! Any other included accessories are also in Good condition showing use. Use can include some highlighting and writing, page and cover creases as well as other types visible wear.

Hardcover. Condición: Good. Estado de la sobrecubierta: Good. Book Club Edition. There is wear around the edges of the book and jacket.

Mass Market Paperback. Condición: Good. [1st printing] Jan. 1972; #77423. Cover art is uncredited [Lehr]. Includes "Introduction"; "A Boy and His Dog" by Harlan Ellison; "Nine Lives" by Ursula K. Le Guin; "Passengers" by Robert Silverberg; "Not Long Before the End" by Larry Niven; "Time Considered as a Helix of Semi-Precious Stones" by Samuel R. Delany; "The Man Who Learned Loving" by Theodore Sturgeon; "The SF Novel in 1969" by D. Suvin; "Short SF in 1969" by Alexei Panshin; "Nebula Awards. Creasing; edge and corner wear; bumps and dings; tanning. Book.…

AUDIO CASSETTE. Condición: Very Good. 4 BRAND NEW AUDIO CASSETTES in the shrink wrap. Sealed and new. Just a bit of shelf wear to the shrink wrap. Enjoy this NEW audio cassette performance.

SingleIssueMagazine. Condición: Very Good-. Vol. 36, No. 1. Edited by Edward L. Ferman. Cover art by Gahan Wilson for "Santa Claus vs. S.P.I.D.E.R." (novelet) by Harlan Ellison. Includes "A Meeting of Minds" (novelet) by Anne McCaffrey; "Black Snowstorm" by D. F. Jones; "Unidentified Fallen Object" by Sydney van Scyoc; "How I Take Their Measure" by K. M. O'Donnell [Barry Malzberg]; "The Legend and the Chemistry" by Arthur Sellings. Features: "A Brook in Vermont" (verse) by L. Sprague de Camp; "Books" by Judith Merril; "Cartoon" by Gahan Wilson; "Films: Charly" by Samuel R. Delany; "Science: Dance of the Satellites" by Isaac Asimov; F&SF Marketplace". Tanning; creasing; edge and corner nicks and wear; minor rear cover soil. Book. …

Soft cover. Condición: Very Good. First Edition. Digest format. Very light wear with an uncreased spine. Cover art by Gahan Wilson. This issue contains: A Meeting of Minds by Anne McCaffrey; Santa Claus vs. S.P.I.D.E.R. by Harlan Ellison; Black Snowstorm by D. F. Jones; Unidentified Fallen Object by Sydney Van Scyoc; How I Take Their Measure by Barry N. Malzberg writing as K. M. O'Donnell; The Legend and the Chemistry by Arthur Sellings; A Brook in Vermont by L. Sprague de Camp; a cartoon by Gahan Wilson; and Science: Dance of the Satellites by Isaac Asimov; along with the usual features. Size: 12mo. Gahan Wilson; (ilustrador). Book.…

Soft cover. Condición: Very Good. First Edition. 130 pp. Digest format. Very light wear with an uncreased spine. Cover art by Gahan Wilson. This issue contains: Santa Claus vs. S.P.I.D.E.R. by Harlan Ellison; A Meeting of Minds by Anne McCaffrey; Black Snowstorm by D. F. Jones; Unidentified Fallen Object by Sydney Van Scyoc; How I Take Their Measure by Barry N. Malzberg writing as K. M. O'Donnell; The Legend and the Chemistry by Arthur Sellings; A Brook in Vermont - a poem by L. Sprague de Camp; a cartoon by Gahan Wilson; and Science: Dance of the Satellites by Isaac Asimov; along with the usual features. Size: 12mo. Gahan Wilson; (ilustrador). Book.…

Condición: very good. from the introduction, "Evidence is accumulating that the Snake River Plain is underlain and partly surrounded by a sequence of rhyolitic ash flow tuffs that represent the preserved deposits of large, caldera-forming eruptions." softcover, 11" x 8.5", 18 pages, illustrated, owner name stamped cover, bottom corner creased, scuff mark cover. …

Condición: Fine w datestamp on cover. 1st edition. Selection of the best stories of fantasy and science fiction, new and old. Solid Bright tight copy 5-1/2 x 7-3/4, 130 pp, b/w cartoon (Gahan Wilson). Pulp magazine in color illus wraps (Gahan Wilson).

Spiral Bound. Condición: Very Good. Spioral bound with printed blue paper covers, numerous folding and other charts, mostly unpaginated approx. 150 pages 8.5 x 11 inches, clean tight and unmarked. This appears to be a document printed for internal circulation by a university archaeology department, but there are no hints as to its origin save for the authorship, not in WorldCat. …

Soft cover. Condición: Fine. 1st Edition. First edition, first printing of this collection of short stories. SIGNED by 12 of the contributing authors on the title page including Melissa Yi, S.J. Rozan, Kenneth Wishnia, Reed Farrel Coleman (Moe), Jonathan Santlofer, Charles Ardai, Alan Gordon, S.A. Solomon. In fine condition. Signed by Author. …

Taschenbuch. Condición: Neu. Neuware - The mathematics behind AI is far easier to understand when the ideas come before the notation.Modern artificial intelligence combines linear algebra, calculus, probability, information theory and optimization. In research papers, those mathematical languages often appear together within a few lines. The result can look far more intimidating than the underlying ideas actually are.The Mathematics of AI, Made Intuitive builds those foundations from first principles and then connects them directly to machine learning, neural networks and modern AI.Rather than asking you to memorize equations, D. K. Harlan explains what each mathematical object is doing, why an equation has its particular shape and how the same structures reappear throughout AI.You will develop an intuitive understanding of: - vectors, matrices, embeddings, eigenvectors and singular values- derivatives, gradients, Jacobians, Hessians and backpropagation- probability, Bayesian reasoning, entropy and cross-entropy- gradient descent, momentum, adaptive optimization and generalization- attention, transformers and representation learning- generative models and statistical inference- reinforcement learning, search and reasoning- scaling laws, numerical computing and modern LLM trainingAt the centre of the book is one recurring learning process: Represent ? Transform ? Predict ? Measure Error ? Assign Responsibility ? Update ? RepeatOnce that structure becomes visible, unfamiliar equations stop looking like isolated symbols. A dot product becomes comparison. A gradient becomes sensitivity. Attention becomes a mechanism for deciding what information matters. Optimization becomes movement through parameter space.The goal is not merely to understand the mathematics used by today's models.It is to develop a mathematical language that remains useful as AI changes.…

Condición: Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Hardcover. Condición: new. New Copy. Customer Service Guaranteed.

Taschenbuch. Condición: Neu. Neuware - What actually happens inside a large language model after you press Enter An LLM can explain an idea, write code, translate languages, follow examples, generate arguments and solve unfamiliar problems. Yet explanations of how these systems work often collapse into one of two claims: 'It is only autocomplete.'or'It thinks like us.'Both miss the machinery that matters.LLMs, Made Intuitive builds a clear mental model of modern language models from the ground up, without requiring a machine-learning background.Beginning with next-token prediction, D. K. Harlan explains how text becomes tokens, how tokens become numerical representations, how attention moves information through a Transformer, how training turns prediction error into capability, and what happens during inference when a model generates an answer one token at a time.The book then goes further into the questions that matter when LLMs leave the laboratory and enter real work: Why do models hallucinate What changes during post-training Why can additional inference-time computation improve reasoning How do retrieval and tools alter what a model can do Why does prompting work without retraining the model What does an LLM actually 'know' How should we decide when its output can be trusted The result is a connected explanation of tokenization, embeddings, attention, Transformer architecture, training, post-training, inference, reasoning, context, hallucination, retrieval, tools, agents, prompting, verification and trust.The mathematics appears where it adds precision, but intuition comes first. The aim is not to replace technical ideas with metaphors. It is to make the real mechanisms understandable.Written for managers, researchers, students, software professionals, executives, writers and technically curious readers who want to understand modern AI without either hype or unnecessary jargon.Understand the machine behind the conversation.This description tracks the actual structure of the book, which moves from prediction and tokenization through attention, training, inference and reasoning, then into failure, systems, prompting and trust. The manuscript explicitly targets readers without a machine-learning background, including managers, researchers, students, software professionals, executives and technically curious readers.…

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condición: New. Satisfaction Guaranteed or your money back.

Taschenbuch. Condición: Neu. Neuware - A chatbot answers. An agent acts.That difference changes almost everything.AI agents can plan, use tools, retrieve information, remember across interactions and take actions in real systems. Yet explanations of agentic AI often fall into one of two traps: they stay so simple that the engineering disappears or they begin with frameworks and implementation details that become outdated almost immediately.AI AGENTS, MADE INTUITIVE takes a different approach.Starting from first principles, D. K. Harlan explains what turns a language model into an agent and how the surrounding system determines whether that agent becomes useful, reliable or dangerous.You will understand how agents: - turn goals into plans and actions- use APIs, software tools and external systems- manage context, memory and retrieval- coordinate in multi-agent systems- verify outcomes and recover from failures- balance autonomy with human control- handle reliability, safety and authorization- operate economically in production environments- become observable, testable and governableThe book moves from the basic agent loop to production-grade architectures, evaluation systems, reinforcement learning, alignment, long-running agents, human-agent collaboration and the emerging economics of agentic software.It also includes design patterns, production-readiness checklists, decision tables, debugging methods, core equations, worked architectures and formal foundations.This is not a prompt collection and it is not tied to one rapidly changing framework.It is a guide to understanding why AI agents work, where they fail and how to think clearly about building them.Written for software engineers, technical founders, AI product builders, architects, engineering leaders, researchers, advanced students and technically curious readers.…

Paperback. Condición: new. Paperback. The mathematics behind AI is far easier to understand when the ideas come before the notation.Modern artificial intelligence combines linear algebra, calculus, probability, information theory and optimization. In research papers, those mathematical languages often appear together within a few lines. The result can look far more intimidating than the underlying ideas actually are.The Mathematics of AI, Made Intuitive builds those foundations from first principles and then connects them directly to machine learning, neural networks and modern AI.Rather than asking you to memorize equations, D. K. Harlan explains what each mathematical object is doing, why an equation has its particular shape and how the same structures reappear throughout AI.You will develop an intuitive understanding of: - vectors, matrices, embeddings, eigenvectors and singular values- derivatives, gradients, Jacobians, Hessians and backpropagation- probability, Bayesian reasoning, entropy and cross-entropy- gradient descent, momentum, adaptive optimization and generalization- attention, transformers and representation learning- generative models and statistical inference- reinforcement learning, search and reasoning- scaling laws, numerical computing and modern LLM trainingAt the centre of the book is one recurring learning process: Represent Transform Predict Measure Error Assign Responsibility Update RepeatOnce that structure becomes visible, unfamiliar equations stop looking like isolated symbols. A dot product becomes comparison. A gradient becomes sensitivity. Attention becomes a mechanism for deciding what information matters. Optimization becomes movement through parameter space.The goal is not merely to understand the mathematics used by today's models.It is to develop a mathematical language that remains useful as AI changes. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

PAP. Condición: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

hardcover. Condición: New. In shrink wrap. Looks like an interesting title.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: New.

90pp. Title page and upper cover little marked from absent rusted paperclip, original stapled wrappers somewhat shelf worn, overall a good copy. 21 x 14.5cm. Four essays from prominent observers of Asia, including: Communism in China and the New American Approach to Asia by John K. Fairbank; Problems of Economic Development in the Far East by Harlan Cleveland; Japan and Korea as American Policy Problems by Edwin O. Reischauer; and The Asiatic Context of Our Far Eastern Economic Policy by William L. Holland. …