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Table of Contents

  • Machine learning for finance : principles and practice for financial insiders

  • Deep reinforcement learning hands-on : apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more

  • AI blueprints : how to build and deploy AI business projects

  • Advanced deep learning with TensorFlow 2 and Keras : apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more

  • Extreme C : taking you to the limit in concurrency, OOP, and the most advanced capabilities of C

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図書
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Related Material
Machine learning for finance : principles and practice for financial insiders
Deep reinforcement learning hands-on : apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more
AI blueprints : how to build and deploy AI business projects
Advanced deep learning with TensorFlow 2 and Keras : apply DL, GANs, VAEs, deep RL, unsupervised learning, object detection and segmentation, and more
Extreme C : taking you to the limit in concurrency, OOP, and the most advanced capabilities of C
JavaScript from beginner to professional : learn JavaScript quickly by building fun, interactive, and dynamic web apps, games, and pages
Transformers 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-4
Python for finance cookbook : over 80 powerful recipes for effective financial data analysis
Transformers for natural language processing and computer vision : explore generative AI and large language models with Hugging Face, ChatGPT, GPT-4V, and DALL-E 3
Python machine learning : machine learning and deep learning with Python, scikit-learn, and TensorFlow
Thoughtful data science : a programmer's toolset for data analysis and artificial intelligence with Python, Jupyter Notebook, and PixieDust
Mastering blockchain : distributed ledger technology, decentralization, and smart contracts explained
Deep learning with TensorFlow 2 and Keras : Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API
Transformers for natural language processing : build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more
Node.js design patterns : design and implement production-grade Node.js applications using proven patterns and techniques
Artificial intelligence by example : acquire advanced AI, machine learning, and deep learning design skills
The economics of data, analytics, and digital transformation : the theorems, laws, and empowerments to guide your organization's digital transformation
Practical data science with Python : learn tools and techniques from hands-on examples to extract insights from data
Machine learning for time-series with Python : forecast, predict, and detect anomalies with state-of-the-art machine learning methods
Dancing with qubits : how quantum computing works and how it can change the world
Python machine learning : machine learning and deep learning with Python, scikit-learn, and TensorFlow
Responsive web design with HTML5 and CSS : develop future-proof responsive websites using the latest HTML5 and CSS techniques
Learning C# by developing games with Unity 2021 : kickstart your C# programming and Unity journey by building 3D games from scratch
Machine learning with PyTorch and Scikit-Learn : develop machine learning and deep learning models with Python
Machine learning with R : expert techniques for predictive modeling
Hands-on explainable AI (XAI) with Python : interpret, visualize, explain, and integrate reliable AI for fair, secure, and trustworthy AI apps
Deep reinforcement learning hands-on : apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web automation, and more
iOS 16 programming for beginners : kickstart your iOS app development journey with a hands-on guide to Swift 5.7 and Xcode 14
Generative AI with Python and TensorFlow 2 : create images, text, and music VAEs, GANs, LSTMs, GPT models and more
Python machine learning by example : build intelligent systems using Python, TensorFlow 2, PyTorch, and scikit-learn
C++ high performance : master the art of optimizing the functioning of your C++ code
Machine learning for algorithmic trading : predictive models to extract signals from market and alternative data for systematic trading strategies with Python
Python machine learning : machine learning and deep learning with Python, scikit-learn, and TensorFlow 2
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