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- 資料種別
- 図書
- タイトル
- 出版事項
- 出版地(国名コード)
- uk
- 対象利用者
- 一般
- 関連情報
- Machine learning for finance : principles and practice for financial insidersDeep reinforcement learning hands-on : apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and moreAI blueprints : how to build and deploy AI business projectsAdvanced deep learning with TensorFlow 2 and Keras : apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and moreExtreme C : taking you to the limit in concurrency, OOP, and the most advanced capabilities of CJavaScript from beginner to professional : learn JavaScript quickly by building fun, interactive, and dynamic web apps, games, and pagesTransformers for natural language processing : build, train, and fine-tune deep neural network architectures for NLP with Python, Hugging Face, and OpenAI's GPT-3, ChatGPT, and GPT-4Python for finance cookbook : over 80 powerful recipes for effective financial data analysisPython machine learning : machine learning and deep learning with Python, scikit-learn, and TensorFlowThoughtful data science : a programmer's toolset for data analysis and artificial intelligence with Python, Jupyter Notebook, and PixieDustMastering blockchain : distributed ledger technology, decentralization, and smart contracts explainedDeep learning with TensorFlow 2 and Keras : Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras APITransformers for natural language processing : build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and moreNode.js design patterns : design and implement production-grade Node.js applications using proven patterns and techniquesArtificial intelligence by example : acquire advanced AI, machine learning, and deep learning design skillsThe economics of data, analytics, and digital transformation : the theorems, laws, and empowerments to guide your organization's digital transformationPractical data science with Python : learn tools and techniques from hands-on examples to extract insights from dataMachine learning for time-series with Python : forecast, predict, and detect anomalies with state-of-the-art machine learning methodsDancing with qubits : how quantum computing works and how it can change the worldPython machine learning : machine learning and deep learning with Python, scikit-learn, and TensorFlowResponsive web design with HTML5 and CSS : develop future-proof responsive websites using the latest HTML5 and CSS techniquesLearning C# by developing games with Unity 2021 : kickstart your C# programming and Unity journey by building 3D games from scratchMachine learning with PyTorch and Scikit-Learn : develop machine learning and deep learning models with PythonMachine learning with R : expert techniques for predictive modelingHands-on explainable AI (XAI) with Python : interpret, visualize, explain, and integrate reliable AI for fair, secure, and trustworthy AI appsDeep reinforcement learning hands-on : apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web automation, and moreiOS 16 programming for beginners : kickstart your iOS app development journey with a hands-on guide to Swift 5.7 and Xcode 14Generative AI with Python and TensorFlow 2 : create images, text, and music VAEs, GANs, LSTMs, GPT models and morePython machine learning by example : build intelligent systems using Python, TensorFlow 2, PyTorch, and scikit-learnC++ high performance : master the art of optimizing the functioning of your C++ codeMachine learning for algorithmic trading : predictive models to extract signals from market and alternative data for systematic trading strategies with PythonPython machine learning : machine learning and deep learning with Python, scikit-learn, and TensorFlow 2
- 連携機関・データベース
- 国立情報学研究所 : CiNii Research
- 提供元機関・データベース
- CiNii Books
- NACSIS書誌ID(NCID)
- https://ci.nii.ac.jp/ncid/BB2464061X : BB2464061X