Deep Learning with Python

With a machine learning approach and less focus on linguistic details, this gentle introduction to natural language processing develops fundamental mathematical and deep learning models for NLP under a unified framework. NLP problems are systematically organised by their machine learning nature, including classification, sequence labelling, and sequence-to-sequence problems. Topics covered include statistical machine learning and deep learning models, text classification and structured prediction models, generative and discriminative models, supervised and unsupervised learning with latent variables, neural networks, and transition-based methods. Rich connections are drawn between concepts throughout the book, equipping students with the tools needed to establish a deep understanding of NLP solutions, adapt existing models, and confidently develop innovative models of their own. Featuring a host of examples, intuition, and end of chapter exercises, plus sample code available as an onli

This book introduces artificial neural networks to students and professionals. It covers the theory and applications in statistical learning methods with concrete Python code examples.

This book introduces Raspberry Pi, using real world applications in computer vision, machine learning, and deep learning. It provides a detailed, step-by-step, approach to application development for

With new jungle friends to meet, colours to name, things to spot and lots to count, this peek-through book is perfect to share with little ones.Toddlers are learning new things all the time, and these

With its intuitive yet rigorous approach to machine learning, this text provides students with the fundamental knowledge and practical tools needed to conduct research and build data-driven products. The authors prioritize geometric intuition and algorithmic thinking, and include detail on all the essential mathematical prerequisites, to offer a fresh and accessible way to learn. Practical applications are emphasized, with examples from disciplines including computer vision, natural language processing, economics, neuroscience, recommender systems, physics, and biology. Over 300 color illustrations are included and have been meticulously designed to enable an intuitive grasp of technical concepts, and over 100 in-depth coding exercises (in Python) provide a real understanding of crucial machine learning algorithms. A suite of online resources including sample code, data sets, interactive lecture slides, and a solutions manual are provided online, making this an ideal text both for grad

Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficien

Create descriptors and see ideas and examples of how to use descriptors effectively. In this short book, you’ll explore descriptors in general, with a deep explanation of what descriptors are, how the

Deploy deep learning applications into production across multiple platforms. You will work on computer vision applications that use the convolutional neural network (CNN) deep learning model and Pytho

Learn the fundamentals of Cython to extend the legacy of your applicationsAbout This BookLearn how to extend C applications with pure Python codeGet more from Python – you'll not only learn Cython, yo

Learn to code like a professional with Python – an open source, versatile and powerful programming languageAbout This BookLearn the fundamentals of programming with Python – one of the best languages

What type of questioning invigorates and sustains productive discussions?That's what Jackie Acree Walsh and Beth Dankert Sattes ask as they begin a passionate exploration of questioning as the beating heart of thoughtful discussions. Questioning and discussion are important components of classroom instruction that work in tandem to push learning forward and move students from passive participants to active meaning-makers.Walsh and Sattes argue that the skills students develop through questioning and discussion are critical to academic achievement, career success, and active citizenship in a democratic society. They also have great potential to engage students at the highest levels of thinking and learning.The extent to which this potential is realized, of course, depends on individual teachers who embrace these practices, make them their own, and realize that this process requires a true partnership with students.With that in mind, Questioning for Classroom Discussion presents and anal

If you're a Python, JavaScript, or C# developer and want to learn the basics of object-oriented programming with real-world examples, then this book is for you.

A parent with ASD can provide his or her children with deep love and devoted support, along with a perspective on the world that is wonderfully unique. At the same time, the emotional and physical dem

Do you have a biological question that could be readily answered by computational techniques, but little experience in programming? Do you want to learn more about the core techniques used in computational biology and bioinformatics? Written in an accessible style, this guide provides a foundation for both newcomers to computer programming and those interested in learning more about computational biology. The chapters guide the reader through: a complete beginners' course to programming in Python, with an introduction to computing jargon; descriptions of core bioinformatics methods with working Python examples; scientific computing techniques, including image analysis, statistics and machine learning. This book also functions as a language reference written in straightforward English, covering the most common Python language elements and a glossary of computing and biological terms. This title will teach undergraduates, postgraduates and professionals working in the life sciences how t

Along with updating all chapters and Python code examples, the second edition of this bestseller includes new chapters on Gaussian processes, Boltzmann machines, and deep belief networks. It also revi

With chapters based on real situations outlining practical strategies, this guide shows you how formative teaching, learning and assessment can enrich day-to-day teaching, and ensure deep and sustaine

With chapters based on real situations outlining practical strategies, this guide shows you how formative teaching, learning and assessment can enrich day-to-day teaching, and ensure deep and sustaine

Will artificial intelligence usher in a new age of prosperity, or are we sowing the seeds of our own destruction? Some scientists have long feared that AI will lead to human extinction, as ever more ruthless and capable machines elbow us aside. In certain circles it has even become fashionable to stockpile supplies in underground bunkers to prepare for a dystopian future. Optimists argue that AI will be a terrific boon, not least to science and medicine. For instance, MIT researchers have used a deep learning model to identify a chemical compound to treat E. Coli infections. And the 2024 Nobel Prize in Chemistry was awarded to the developers of Google DeepMind for mapping proteins far quicker than previously possible. Toby Walsh has worked in AI since before most people had a computer. In God AI, he guides us with humour and humanity through the claims and the counter-claims – and helps us make up our own minds about one of the biggest issues of our time.

Meet Isadora Moon's mermaid friend, Emerald! Emerald is learning how to be a mermaid princess, but there are just so many rules. She loves having fun with her friends and exploring her underwater world with her pet octopus, Inkibelle, she doesn't want to be stuck in the palace with everyone looking at her and checking that she's doing things the proper, royal way. The morning after a big storm, Emerald discovers a shimmery egg in Dad's back garden.A baby sea dragon hatches from the egg! It is sooo cute! When the cheeky little sea dragon hitches a lift with Emerald back to Mum's, everyone at the royal palace is enchanted. Emerald knows deep down that they need to find its real family and so Emerald, Delphina, and Mum set out on an exciting ocean adventure to do just that. Illustrated throughout in sea green and black, Emerald is perfect for readers who are looking for a first chapter book with a splash of wildness and wonder.

Data Mining: Practical Machine Learning Tools and Techniques, Fifth Edition, offers a thorough grounding in machine learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated new edition of the most acclaimed work on data mining and machine learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches. Extensive updates reflect the technical changes and modernizations that have taken place in the field since the last edition, including more recent deep learning content on such topics as GANs, transformers, BERT, GPT, VAE, adversarial examples, pre-training and fine-tuning, as well as a comprehensive treatment of ethical and responsible artificial intelligence topics. Authors Ian H. Witten, Eibe Frank, Mark A. Hall, and Christopher J. Pal, along with new

From the New York Times bestselling author of Girl in Pieces comes a novel about love and loss and learning how to continue when it feels like you're surrounded by darkness that Karen M. McManus, the New York Times bestselling author of One of Us Is Lying, calls rare and powerful. Here is what happens when your mother dies. It's the brightest day of summer and it's dark outside. It's dark in your house, dark in your room, and dark in your heart. You feel like the darkness is going to split you apart. That's how it feels for Tiger. It's always been Tiger and her mother against the world. Then, on a day like any other, Tiger's mother dies. And now it's Tiger, alone. Here is how you learn to make friends with the dark. Stunning and beautifully written.-HelloGiggles A rare and powerful novel, How to Make Friends with the Dark dives deep into the heart of grief and healing with honesty, empathy, and grace. --Karen M. McManus, New York Times bestselling author of One of Us Is Lying and Two C

國內外最具代表性案例，9大專題實戰、15個分類實例 Google Colab、Microsoft Azure兩大雲端應用，人臉辨識、自然語言、文字識別、語音轉換、分析預測、物件自動標示、影像辦識真正實練，從資料收集整理、模型訓練調整，檢測修正到產出全面解秘！ 資料科學(Data Science)技術崛起後，人工智慧(Artificial Intelligence)、機器學習(Machine Learning)與深度學習(Deep Learning)儼然成為電腦科學最熱門的話題。其實，人工智慧的應用早已出現在我們生活周遭，如即時車牌影像辨識，以及智慧型手機中的臉部指紋辨識解鎖、影像轉文字翻譯、智慧語音助理…等。 在人工智慧領域中最重要也最適合作為入門的程式語言非Python莫屬。本書就以TensorFlow、Keras為基底，運用Python進行實作，深入人工智慧技術，掌握機器學習與深度學習的真正強大應用。 程式人、工程師挑戰人工智慧最佳學習地圖由類神經網路基礎到AI應用實戰訓練、模型、預測、辨識、分析與驗證全面深入機器學習與深度學習技術核心 ■打造專屬Python、TensorFlow與Keras最強開發環境。 ■圖解簡化複雜難懂的類神經網路觀念，涵蓋多層感知器(MLP)、卷積神經網路(CNN)與循環神經網路(RNN)。 ■整合最夯的人工智慧雲端開發平台：Google Colab，應用雲端提供的充沛資源，全面提升運算效能。 ■加碼最新的機器學習雲端應用平台：Microsoft Azure，連結功能強大、方向多元的Web API，豐富專業應用領域。 ■顛覆只重視理論或產生結果的傳統機器學習內容，實際挑戰從資料收集與準備、模型訓練與調整、檢測修正到結果產出的最完整機器學習實戰流程。 ■全面深入不同應用面向：印刷文字辨識、手寫文字辨識、遠端圖片分析、本機圖片分析、辨識圖片地標或名人、臉部辨識、人臉比對、語言識別、文字翻譯、黑白照片上色、人臉情緒偵測、圖片物件偵測、人工智慧製作縮圖、圖片場景偵測、汽車型號及年份偵測、自動標示物件、資料走勢預測… ■網羅國內外最具代表性案例：手寫文字辨識、圖片分類、即時匯率分析、文字雲與文章自動摘要、YouTube影片加上字幕、股票走勢分析、臉部辨識登入系統、擷取車牌、即時車牌影像辨識…等，進行有系統而扎實的真正演練。 ■一次領略機器學習與深