Płać w 4 ratach w dowolnym miejscu dzięki rozszerzeniu do Chrome.

Kupuj, płać i śledź szybciej w aplikacji.

Zapisz się, aby otrzymywać wiadomości e-mail z informacjami dotyczącymi usług i promocji firmy Klarna oraz ofertami partnerów Klarna. Możesz wypisać się w dowolnym momencie.

Poznaj naszą wyszukiwarkę i dowiedz się jak sortujemy wyniki.

Dlaczego to widzisz?

Legimi

This book provides comprehensive coverage of combined Artificial Intelligence (AI) and Machine Learning (ML) theory and applications. Rather than looking at the field from only a theoretical or only a practical perspective, this book unifies both perspectives to give holistic understanding. The first part introduces the concepts of AI and ML and their origin and current state. The second and third parts delve into conceptual and theoretic aspects of static and dynamic ML techniques. The forth part describes the practical applications where presented techniques can be applied. The fifth part introduces the user to some of the implementation strategies for solving real life ML problems.  The book is appropriate for students in graduate and upper undergraduate courses in addition to researchers and professionals. It makes minimal use of mathematics to make the topics more intuitive and accessible.   Presents a full reference to artificial intelligence and machine learning techniques - in 

Machine Learning and Artificial Intelligence

Build the foundational data science skills necessary to work with and better understand complex data science algorithms. This example-driven book provides complete Python coding examples to complement and clarify data science concepts, and enrich the learning experience. Coding examples include visualizations whenever appropriate. The book is a necessary precursor to applying and implementing machine learning algorithms.     The book is self-contained. All of the math, statistics, stochastic, and programming skills required to master the content are covered. In-depth knowledge of object-oriented programming isn’t required because complete examples are provided and explained.     Data Science Fundamentals with Python and MongoDB is an excellent starting point for those interested in pursuing a career in data science. Like any science, the fundamentals of data science are a prerequisite to competency. Without proficiency in mathematics, statistics, data manipulation, and coding, the path

Data Science Fundamentals for Python and MongoDB

ENbook.pl

This book provides an accessible introduction to the foundations of machine learning and deep learning in medicine for medical students, researchers, and professionals who are not necessarily initiated in advanced mathematics but yearn for a better understanding of this disruptive technology and its impact on medicine.

Fundamentals of Machine Learning and Deep Learning in Medicine | Borhani Reza | Paperback | Twarda

Phase transitions typically occur in combinatorial computational problems and have important consequences, especially with the current spread of statistical relational learning as well as sequence learning methodologies. In Phase Transitions in Machine Learning the authors begin by describing in detail this phenomenon, and the extensive experimental investigation that supports its presence. They then turn their attention to the possible implications and explore appropriate methods for tackling them. Weaving together fundamental aspects of computer science, statistical physics and machine learning, the book provides sufficient mathematics and physics background to make the subject intelligible to researchers in AI and other computer science communities. Open research issues are also discussed, suggesting promising directions for future research.

Phase Transitions in Machine Learning | Saitta Lorenza | Twarda | Twarda

The fields of Artificial Intelligence and Machine Learning have grown dramatically in recent years, with an increasingly impressive spectrum of successful applications. This book represents a key reference for anybody interested in the intersection between Mathematics and AIML and provides an overview of the current research streams.

Engineering Mathematics and Artificial Intelligence | Kunze Herb | Twarda

pUsing a novel integration of mathematics and Python codes, this book illustrates the fundamental concepts that link probability, statistics, and machine learning, so that the reader can not only employ statistical and machine learning models using modern Python modules, but also understand their relative strengths and weaknesses. To clearly connect theoretical concepts to practical implementations, the author provides many worked-out examples along with Programming Tips that encourage the reader to write quality Python code. The entire text, including all the figures and numerical results, is reproducible using the Python codes provided, thus enabling readers to follow along by experimenting with the same code on their own computers.pp Modern Python modules like Pandas, Sympy, Scikit-learn, Statsmodels, Scipy, Xarray, Tensorflow, and Keras are used to implement and visualize important machine learning concepts like the biasvariance trade-off, cross-validation, interpretability, and re

Python for Probability, Statistics, and Machine Learning | Unpingco Jos | Paperback | Twarda

pThe fields of Artificial Intelligence AI and Machine Learning ML have grown dramatically in recent years, with an increasingly impressive spectrum of successful applications. This book represents a key reference for anybody interested in the intersection between mathematics and AIML and provides an overview of the current research streams.ppemEngineering Mathematics and Artificial Intelligence Foundations, Methods, and Applicationsem discusses the theory behind ML and shows how mathematics can be used in AI. The book illustrates how to improve existing algorithms by using advanced mathematics and offers cutting-edge AI technologies. The book goes on to discuss how ML can support mathematical modeling and how to simulate data by using artificial neural networks. Future integration between ML and complex mathematical techniques is also highlighted within the book.ppThis book is written for researchers, practitioners, engineers, and AI consultants.p

pstrongIntroducing Practical Smart Agents Development using Python, PyTorch, and TensorFlowstrongpp ppstrongKEY FEATURES strongpp9679 Exposure to well-known RL techniques, including Monte-Carlo, Deep Q-Learning, Policy Gradient, and Actor-Critical.pp9679 Hands-on experience with TensorFlow and PyTorch on Reinforcement Learning projects.pp9679 Everything is concise, up-to-date, and visually explained with simplified mathematics.pp ppstrongDESCRIPTION strongppReinforcement learning is a fascinating branch of AI that differs from standard machine learning in several ways. Adaptation and learning in an unpredictable environment is the part of this project. There are numerous real-world applications for reinforcement learning these days, including medical, gambling, human imitation activity, and robotics.pp ppThis book introduces readers to reinforcement learning from a pragmatic point of view. The book does involve mathematics, but it does not attempt to overburden the reader, who is a beg

Practical Deep Reinforcement Learning with Python | Gridin Ivan | Twarda

pThis book provides a step-by-step methodology and derivation of deep learning algorithms as Long Short-Term Memory LSTM and Convolution Neural Network CNN, especially for estimating parameters, with back-propagation as well as examples with real datasets of hydrometeorology e.g. streamflow and temperature and environmental science e.g. water quality. ppDeep learning is known as part of machine learning methodology based on the artificial neural network. Increasing data availability and computing power enhance applications of deep learning to hydrometeorological and environmental fields. However, books that specifically focus on applications to these fields are limited.ppMost of deep learning books demonstrate theoretical backgrounds and mathematics. However, examples with real data and step-by-step explanations to understand the algorithms in hydrometeorology and environmental science are very rare.pp ppThis book focuses on the explanation of deep learning techniques and their applica

Deep Learning for Hydrometeorology and Environmental Science | Lee Taesam | Paperback | Twarda

pThis book highlights the contribution of artificial intelligence for mathematics education. It provides concrete ideas supported by mathematical work obtained through dynamic international collaboration, and discusses the flourishing of new mathematics in the contemporary world from a sustainable development perspective. p pOver the past thirty years, artificial intelligence has gradually infiltrated all facets of society. When it is deployed in interaction with the human designer or user, AI certainly raises new ethical questions. But as soon as it aims to augment intelligence in a kind of human-machine partnership, it goes to the heart of knowledge development and the very performance of work. The proposed themes and the sections of the book address original issues relating to the creation of AI milieus to work on mathematics, to the AI-supported learning of mathematics and to the coordination of usual paperpencil techniques and new AI-aided educational working spaces. The authors o

Mathematics Education in the Age of Artificial Intelligence | Richard Philippe R. | Twarda

bBest Book on GAN bbrbr bKey FeaturesbliUnderstanding the deep learning landscape and GAN's relevance lili Learning basics of GANliliLearning how to build GAN from scratch lili Understanding mathematics and limitations of GANlili Understanding GAN applications for Retail, Healthcare, Telecom, Media and EduTechliliUnderstanding the important GAN papers such as pix2pixGAN, styleGAN, cycleGAN, DCGAN liliLearning how to build GAN code for industrial applications liliUnderstanding the difference between varieties of GAN librbDescriptionbbr This book aims at simplifying GAN for everyone. This book is very important for machine learning engineers, researchers, students, professors, and professionals. Universities and online course instructors will find this book very interesting for teaching advanced deep learning, specially Generative Adversarial NetworksGAN. Industry professionals, coders, and data scientists can learn GAN from scratch. They can learn how to build GAN codes for industrial a

Generative Adversarial Networks with Industrial Use Cases | Manaswi Navin K. | Twarda

This friendly guide is the companion you need to convert pure mathematics into understanding and facility with a host of probabilistic tools. The book provides a high-level view of probability and its most powerful applications. It begins with the basic rules of probability and quickly progresses to some of the most sophisticated modern techniques in use, including Kalman filters, Monte Carlo techniques, machine learning methods, Bayesian inference and stochastic processes. It draws on thirty years of experience in applying probabilistic methods to problems in computational science and engineering, and numerous practical examples illustrate where these techniques are used in the real world. Topics of discussion range from carbon dating to Wasserstein GANs, one of the most recent developments in Deep Learning. The underlying mathematics is presented in full, but clarity takes priority over complete rigour, making this text a starting reference source for researchers and a readable overv

The Probability Companion for Engineering and Computer Science | Prgel | Bennett Adam | Twarda | Twarda

pThis innovative textbook brings together modern concepts in mathematical epidemiology, computational modeling, physics-based simulation, data science, and machine learning to understand one of the most significant problems of our current time, the outbreak dynamics and outbreak control of COVID-19. It teaches the relevant tools to model and simulate nonlinear dynamic systems in view of a global pandemic that is acutely relevant to human health.p pIf you are a student, educator, basic scientist, or medical researcher in the natural or social sciences, or someone passionate about big data and human health This book is for you! It serves as a textbook for undergraduates and graduate students, and a monograph for researchers and scientists. It can be used in the mathematical life sciences suitable for courses in applied mathematics, biomedical engineering, biostatistics, computer science, data science, epidemiology, health sciences, machine learning, mathematical biology, numerical method

Computational Epidemiology | Kuhl Ellen | Twarda

Decision-making in the face of uncertainty is a significant challenge in machine learning, and the multi-armed bandit model is a commonly used framework to address it. This comprehensive and rigorous introduction to the multi-armed bandit problem examines all the major settings, including stochastic, adversarial, and Bayesian frameworks. A focus on both mathematical intuition and carefully worked proofs makes this an excellent reference for established researchers and a helpful resource for graduate students in computer science, engineering, statistics, applied mathematics and economics. Linear bandits receive special attention as one of the most useful models in applications, while other chapters are dedicated to combinatorial bandits, ranking, non-stationary problems, Thompson sampling and pure exploration. The book ends with a peek into the world beyond bandits with an introduction to partial monitoring and learning in Markov decision processes.

Bandit Algorithms | Lattimore Tor | Twarda | Twarda

pThis book includes a spectrum of concepts, such as performance, productivity, operations research, econometrics, and data science, for the practically and theoretically important areas of 'productivity analysisdata envelopment analysis' and 'data sciencebig data'. Data science is defined as the collection of scientific methods, processes, and systems dedicated to extracting knowledge or insights from data and it develops on concepts from various domains, containing mathematics and statistical methods, operations research, machine learning, computer programming, pattern recognition, and data visualisation, among others.p pExamples of data science techniques include linear and logistic regressions, decision trees, Na ve Bayesian classifier, principal component analysis, neural networks, predictive modelling, deep learning, text analysis, survival analysis, and so on, all of which allow using the data to make more intelligent decisions. On the other hand, it is without a doubt that nowad

Data Science and Productivity Analytics | Charles Vincent | Twarda | Twarda

pstrongDiscover easy-to-follow solutions and techniques to help you to implement applied mathematical concepts such as probability, calculus, and equations using Python's numeric and scientific librariesstrongppstrongKey Featuresstrongp ul liCompute complex mathematical problems using programming logic with the help of step-by-step recipesli liLearn how to utilize Python's libraries for computation, mathematical modeling, and statisticsli liDiscover simple yet effective techniques for solving mathematical equations and apply them in real-world statisticsli ul pstrongBook Descriptionstrongp pPython, one of the world's most popular programming languages, has a number of powerful packages to help you tackle complex mathematical problems in a simple and efficient way. These core capabilities help programmers pave the way for building exciting applications in various domains, such as machine learning and data science, using knowledge in the computational mathematics domain.p pThe book teach

Applying Math with Python | Morley Sam | Twarda

Optimization on Riemannian manifolds-the result of smooth geometry and optimization merging into one elegant modern framework-spans many areas of science and engineering, including machine learning, computer vision, signal processing, dynamical systems and scientific computing. This text introduces the differential geometry and Riemannian geometry concepts that will help applied mathematics, computer science and engineering students and researchers gain a firm mathematical grounding to use these tools confidently in their research. Its chart-last approach will prove more intuitive from an optimizer's viewpoint, and all definitions and theorems are motivated to build time-tested optimization algorithms. Starting from first principles, the text goes on to cover current research on topics including worst-case complexity and geodesic convexity. Readers will appreciate the tricks of the trade for conducting research and for numerical implementations sprinkled throughout the book.

An Introduction to Optimization on Smooth Manifolds | Boumal Nicolas | Paperback | Twarda

pArtificial Intelligence, or AI, is no doubt one of the hottest buzz words at the moment. AI has penetrated into many aspects of our lives. To know AI and to be able to use AI will bring enormous benefits to our work and life. However, to learn AI is a daunting task for many people, largely due to the complex mathematics and sophisticated coding. This book aims to demystify AI and teach readers about AI from scratch, by using simple, plain, languages and simple, illustrative, code examples. This book is divided into three parts.br br In part one, readers will follow an easy to read introduction about AI, including the history, the types of AI, the current status and possible future trend. It then introduces Python, A widely used programming tool for AI. In part two, we introduce Machine Learning aspect of AI, topics include classifications, regressions, and Clustering. It also includes the most popular Reinforcement Learning. In part three, it introduces Deep Learning aspect of AI, top

Artificial Intelligence Programming with Python | Xiao Perry | Twarda

Brandosa

Naprawdę wygodne majtki z miękkiego i elastycznego materiału z efektywnym odprowadzaniem wilgoci, które zapewnia suchość i ciepło. Dzięki bezszwowej konstrukcji i dopasowaniu pasuje jak ulał.Materiał: 65% nylon, 30% poliester, 5% spandex.

Inez Pants Blue, Female, Odzież, podstawowe warstwy, Niebieski, XS/S

Caliroots

Mammoth Large Night Camo/black, Unisex, Ekwipunek, Torby, Czarny, ONESIZE

Trampki Jenny Fairy Kremowy Aż do 120 dni na zwrot  dla Klubowiczów!

Trampki Jenny Fairy

E.M.P.

KIHILIST by KILLSTAR - T-Shirt - Moonlit Reaper T-Shirt - 100% bawełna - XS, S, M, L, XL, XXL, 3XL, 4XL - czarny - duży nadruk z przodu - dekolt: okrągły - krój: regularny

Koszulka KIHILIST by KILLSTAR - T-shirt Moonlit Reaper T-Shirt - Mężczyźni - czarny

pHow can music withstand the death and destruction brought on by war Global conflicts of the 20th century fundamentally transformed not only national boundaries, power relations, and global economies, but also the arts and culture of every nation involved. An important, unacknowledged aspect of these conflicts is that they have unique musical soundtracks. iMusic in World War IIi explores how music and sound took on radically different dimensions in the United States and Europe before, during, and after World War II. Additionally, the collection examines the impact of radio and film as the disseminators of the war's musical soundtrack. Contributors contend that the European and American soundtrack of World War II was largely one of escapism rather than the lofty, solemn, heroic, and celebratory mode of war music in the past. Furthermore, they explore the variety of experiences of populations forced from their homes and interned in civilian and POW camps in Europe and the United States, 

Music in World War II | Potter Pamela M. | Twarda

ENdisc.pl

EAN: 0134120182022 "Kev Brown" Redefinition Records

"Homework" ("Kev Brown") (Vinyl / 12" Album)

EYERIm

Ray-Ban RB3445 002/58 Polarized, Spolaryzowane, Czarne, Materiał 1, Męskie okulary przeciwsłoneczne

Okulary przeciwsłoneczne > Męskie > Rectangular > Ray-Ban, RB3445 002/58 Polarized

Footway

Buty w swobodnym, sportowym stylu dla aktywnych.Wybierz buty adidas i ruszaj pobiegać po parku, a potem wyskocz na kawę z przyjaciółmi. Cholewka z siateczki zapewnia przewiewność i gwarantuje komfort przez cały dzień. Trwała gumowa podeszwa zewnętrzna stanowi solidną podstawę, która sprawdzi się bez względu na to, jak bardzo zabiegany jest Twój dzień.Standardowy krójModel sznurowanyCholewka z warstwowej siateczkiPoczucie lekkiego i przewiewnego komfortuPodeszwa środkowa z pianki EVAWspierająca, bezszwowa pięta

Runfalcon 2.0 Grey Five/silver Met./grey Two, Female, Buty, Sneakersy, buty sportowe, Szary/Niebieski, EU 42

Horze

Oficerki Verona są nie tylko eleganckie, ale także praktyczne - idealne na zawody, kiedy musisz wyglądać wspaniale i dać z siebie w wszystko.Obie odpinane lamówki posiadają małą, srebrną przypinkę z logo Horze.Gładka skóra po zewnętrznej stronie i tłoczona skóra po wewnętrznej stronie łączą się tworząc wysoce profesjonalne oficerki.Elastyczna wstawka, która biegnie wzdłuż cholewki sprawia, że oficerki leżą jak ulał.Stopa ozdobiona jest paskiem z dziurkami, elastycznymi, zamocowanymi na stałe sznurowadłami i posiada przydatną podpórkę na ostrogę.Skórzane paski zapinane na zatrzask na górze i dole suwaka gwarantują skuteczne zapięcie oficerek.

Oficerki damskie skórzane Horze Verona

NA-KD

Ta góra bikini ma kwadratowy dekolt i zdejmowane wyściełane miseczki. Ma szerokie ramiączka i regulowaną haftkę z tyłu.

NA-KD Gzęsty top od bikini z kwadratowym dekoltem - Bikini - Różowy - M (EU 38-40) - NA-KD / NAKD

Runforest

Wydajna cholewka z siateczki zapewnia lekkość i przewiewność Piankowa wyściółka umieszczona wokół kołnierza kostki i pod językiem zapewnia niewiarygodnie wygodne dopasowanie i czucie Wkładka z pianki Deluxe dopasowuje się do stopy, zapewniając dodatkowy komfort pod stopami Podeszwa środkowa Charged Cushioning® wykorzystuje formowaną kompresyjnie piankę, zapewniając najwyższą responsywność i trwałość Trwały wzór podeszwy zewnętrznej zapewnia elastyczność i przyczepność

Ua Charged Pursuit 3 White, Male, Buty, Sneakersy, Sneakersy, Biały, EU 40

Sportamore

Uzyskaj osłonę, której potrzebujesz, wychodząc na całość w staniku sportowym Nike Trophy. Ten niezbędny na co dzień jest zasilany technologią Dri-FIT, dzięki czemu możesz grać z pewnością siebie.

Trophy Bra Junior Pink, Unisex, Odzież, Tops, Trening, Różowy, M

StreetStyle24

Spodnie męskie Lacoste Tracksuit Trousers Bottom XH9624-CCA – szare Męskie spodnie dresowe Lacoste Tracksuit Trousers Bottom. Zostały wykonane z wysokiej jakości materiału, który gwarantuje komfort użytkowania. Odzież posiada klasyczny krój z elastyczną, regulowaną za pomocą sznurka talią. Nogawki zakończone ściągaczem świetnie wyeksponują Twoje buty i zapewnią optymalne dopasowanie, a boczne kieszenie zmieszczą niezbędne drobiazgi. Męskie spodnie dresowe zadowolą fanów miejskiego stylu. Model ten świetnie dopełni męskie bluzy. W takim zestawie będziesz mógł wyruszyć na podbój miejskiej dżungli. Specyfikacja: - materiał: 84% bawełna, 16% poliester - klasyczny krój - elastyczna talia regulowana za pomocą sznurka - boczne kieszenie - nogawki zakończone ściągaczem - branding producentaPodmiot odpowiedzialny: Devanlay Polska Spółka z o. o. ul. Złota 59, 00-120 Warszawa, Polska

mathematics for machine learning