eBooki
W kategorii eBooki znajdziesz książki w postaci elektronicznej, w formie PDF, ePub oraz mobi. Po zakupie e-booka będzie on dostępny w Bibliotece na koncie użytkownika. Książki przeczytasz na laptopie, tablecie, smartfonie lub czytniku ebooków (Kindle, Pocketbook, inkBOOK, Prestigio i innych). Więcej na temat wykorzystania i zabezpieczenia eBooków znajdziesz na stronie "Przewodnik po eBookach".
Ebooki dostępne w księgarni Ebookpoint
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Generative AI with Python and TensorFlow 2. Create images, text, and music with VAEs, GANs, LSTMs, Transformer models
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Data Science Projects with Python. A case study approach to gaining valuable insights from real data with machine learning - Second Edition
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Scientific Computing with Python. High-performance scientific computing with NumPy, SciPy, and pandas - Second Edition
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Designing Professional Websites with Odoo Website Builder. Create and customize state-of-the-art websites and e-commerce apps for your modern business needs
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Mastering spaCy. An end-to-end practical guide to implementing NLP applications using the Python ecosystem
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Data Science for Marketing Analytics. A practical guide to forming a killer marketing strategy through data analysis with Python - Second Edition
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Python for Geeks. Build production-ready applications using advanced Python concepts and industry best practices
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Dancing with Python. Learn to code with Python and Quantum Computing
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Maximizing Tableau Server. A beginner's guide to accessing, sharing, and managing content on Tableau Server
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Machine Learning Engineering with Python. Manage the production life cycle of machine learning models using MLOps with practical examples
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Python Microservices Development. Build efficient and lightweight microservices using the Python tooling ecosystem - Second Edition
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Algorithmic Short Selling with Python. Refine your algorithmic trading edge, consistently generate investment ideas, and build a robust long/short product
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Practical Data Science with Python. Learn tools and techniques from hands-on examples to extract insights from data
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Deep Learning with fastai Cookbook. Leverage the easy-to-use fastai framework to unlock the power of deep learning
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Machine Learning with Amazon SageMaker Cookbook. 80 proven recipes for data scientists and developers to perform machine learning experiments and deployments
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Privilege Escalation Techniques. Learn the art of exploiting Windows and Linux systems
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Enterprise DevOps for Architects. Leverage AIOps and DevSecOps for secure digital transformation
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Getting Started with Streamlit for Data Science. Create and deploy Streamlit web applications from scratch in Python
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Serverless Analytics with Amazon Athena. Query structured, unstructured, or semi-structured data in seconds without setting up any infrastructure
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Exploring GPT-3. An unofficial first look at the general-purpose language processing API from OpenAI
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Mastering Transformers. Build state-of-the-art models from scratch with advanced natural language processing techniques
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Building Data Science Applications with FastAPI. Develop, manage, and deploy efficient machine learning applications with Python
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Extending Power BI with Python and R. Ingest, transform, enrich, and visualize data using the power of analytical languages
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Python Network Programming Techniques. 50 real-world recipes to automate infrastructure networks and overcome networking challenges with Python
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Python GUI Programming with Tkinter. Design and build functional and user-friendly GUI applications - Second Edition
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Machine Learning for Time-Series with Python. Forecast, predict, and detect anomalies with state-of-the-art machine learning methods
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Natural Language Processing with AWS AI Services. Derive strategic insights from unstructured data with Amazon Textract and Amazon Comprehend
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Learn Python Programming. An in-depth introduction to the fundamentals of Python - Third Edition
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Hands-On Reinforcement Learning for Games. Implementing self-learning agents in games using artificial intelligence techniques
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Cyber Minds. Insights on cybersecurity across the cloud, data, artificial intelligence, blockchain, and IoT to keep you cyber safe
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Python Feature Engineering Cookbook. Over 70 recipes for creating, engineering, and transforming features to build machine learning models
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The Data Science Workshop. A New, Interactive Approach to Learning Data Science
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Mastering Python Networking. Your one-stop solution to using Python for network automation, programmability, and DevOps - Third Edition
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Hands-On Music Generation with Magenta. Explore the role of deep learning in music generation and assisted music composition
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Python for Finance Cookbook. Over 50 recipes for applying modern Python libraries to financial data analysis
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Hands-On Genetic Algorithms with Python. Applying genetic algorithms to solve real-world deep learning and artificial intelligence problems
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Deep Reinforcement Learning Hands-On. Apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web automation, and more - Second Edition
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Mastering Machine Learning Algorithms. Expert techniques for implementing popular machine learning algorithms, fine-tuning your models, and understanding how they work - Second Edition
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Learning OpenCV 4 Computer Vision with Python 3. Get to grips with tools, techniques, and algorithms for computer vision and machine learning - Third Edition
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Artificial Intelligence By Example. Acquire advanced AI, machine learning, and deep learning design skills - Second Edition
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The Supervised Learning Workshop. Predict outcomes from data by building your own powerful predictive models with machine learning in Python - Second Edition
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OpenCV 4 with Python Blueprints. Build creative computer vision projects with the latest version of OpenCV 4 and Python 3 - Second Edition
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Django 3 Web Development Cookbook. Actionable solutions to common problems in Python web development - Fourth Edition
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Hands-On Exploratory Data Analysis with Python. Perform EDA techniques to understand, summarize, and investigate your data
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Django 3 By Example. Build powerful and reliable Python web applications from scratch - Third Edition
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Quantum Computing and Blockchain in Business. Exploring the applications, challenges, and collision of quantum computing and blockchain
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Mobile Deep Learning with TensorFlow Lite, ML Kit and Flutter. Build scalable real-world projects to implement end-to-end neural networks on Android and iOS
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Hands-On One-shot Learning with Python. Learn to implement fast and accurate deep learning models with fewer training samples using PyTorch
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Interactive Data Visualization with Python. Present your data as an effective and compelling story - Second Edition
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MicroPython Projects. A do-it-yourself guide for embedded developers to build a range of applications using Python
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Network Automation Cookbook. Proven and actionable recipes to automate and manage network devices using Ansible
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Python Image Processing Cookbook. Over 60 recipes to help you perform complex image processing and computer vision tasks with ease
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Mastering Computer Vision with TensorFlow 2.x. Build advanced computer vision applications using machine learning and deep learning techniques
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Hands-On Python Deep Learning for the Web. Integrating neural network architectures to build smart web apps with Flask, Django, and TensorFlow
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Hands-On Web Penetration Testing with Metasploit. The subtle art of using Metasploit 5.0 for web application exploitation
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Blender 3D By Example. A project-based guide to learning the latest Blender 3D, EEVEE rendering engine, and Grease Pencil - Second Edition
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Python Automation Cookbook. 75 Python automation recipes for web scraping; data wrangling; and Excel, report, and email processing - Second Edition
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Artificial Intelligence with Python. Your complete guide to building intelligent apps using Python 3.x - Second Edition
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40 Algorithms Every Programmer Should Know. Hone your problem-solving skills by learning different algorithms and their implementation in Python
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Hands-On Mathematics for Deep Learning. Build a solid mathematical foundation for training efficient deep neural networks
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Practical Data Analysis Using Jupyter Notebook. Learn how to speak the language of data by extracting useful and actionable insights using Python
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Hands-On Python Natural Language Processing. Explore tools and techniques to analyze and process text with a view to building real-world NLP applications
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Raspberry Pi Computer Vision Programming. Design and implement computer vision applications with Raspberry Pi, OpenCV, and Python 3 - Second Edition
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Hands-On Natural Language Processing with PyTorch 1.x. Build smart, AI-driven linguistic applications using deep learning and NLP techniques
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Hands-On Artificial Intelligence for Banking. A practical guide to building intelligent financial applications using machine learning techniques
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Hands-On Simulation Modeling with Python. Develop simulation models to get accurate results and enhance decision-making processes
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The Applied Artificial Intelligence Workshop. Start working with AI today, to build games, design decision trees, and train your own machine learning models
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The Deep Learning with PyTorch Workshop. Build deep neural networks and artificial intelligence applications with PyTorch
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The Machine Learning Workshop. Get ready to develop your own high-performance machine learning algorithms with scikit-learn - Second Edition
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The Applied Data Science Workshop. Get started with the applications of data science and techniques to explore and assess data effectively - Second Edition
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Hands-On Machine Learning with scikit-learn and Scientific Python Toolkits. A practical guide to implementing supervised and unsupervised machine learning algorithms in Python
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The Computer Vision Workshop. Develop the skills you need to use computer vision algorithms in your own artificial intelligence projects
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The Applied AI and Natural Language Processing Workshop. Explore practical ways to transform your simple projects into powerful intelligent applications
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The Data Visualization Workshop. A self-paced, practical approach to transforming your complex data into compelling, captivating graphics
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The Data Wrangling Workshop. Create your own actionable insights using data from multiple raw sources - Second Edition
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The Deep Learning with Keras Workshop. Learn how to define and train neural network models with just a few lines of code
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The Unsupervised Learning Workshop. Get started with unsupervised learning algorithms and simplify your unorganized data to help make future predictions
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The Applied TensorFlow and Keras Workshop. Develop your practical skills by working through a real-world project and build your own Bitcoin price prediction tracker
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Modern Python Cookbook. 133 recipes to develop flawless and expressive programs in Python 3.8 - Second Edition
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Hands-On Explainable AI (XAI) with Python. Interpret, visualize, explain, and integrate reliable AI for fair, secure, and trustworthy AI apps
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The Deep Learning Workshop. Learn the skills you need to develop your own next-generation deep learning models with TensorFlow and Keras
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Machine Learning for Algorithmic Trading. Predictive models to extract signals from market and alternative data for systematic trading strategies with Python - Second Edition
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The Data Analysis Workshop. Solve business problems with state-of-the-art data analysis models, developing expert data analysis skills along the way
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The Artificial Intelligence Infrastructure Workshop. Build your own highly scalable and robust data storage systems that can support a variety of cutting-edge AI applications
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The Natural Language Processing Workshop. Confidently design and build your own NLP projects with this easy-to-understand practical guide
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The Statistics and Calculus with Python Workshop. A comprehensive introduction to mathematics in Python for artificial intelligence applications
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Applied Deep Learning and Computer Vision for Self-Driving Cars. Build autonomous vehicles using deep neural networks and behavior-cloning techniques
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The Reinforcement Learning Workshop. Learn how to apply cutting-edge reinforcement learning algorithms to a wide range of control problems
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Python Algorithmic Trading Cookbook. All the recipes you need to implement your own algorithmic trading strategies in Python
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The Data Science Workshop. Learn how you can build machine learning models and create your own real-world data science projects - Second Edition
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Deep Learning for Beginners. A beginner's guide to getting up and running with deep learning from scratch using Python
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Hands-on JavaScript for Python Developers. Leverage your Python knowledge to quickly learn JavaScript and advance your web development career
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ETL with Azure Cookbook. Practical recipes for building modern ETL solutions to load and transform data from any source
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Deep Reinforcement Learning with Python. Master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow - Second Edition
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Hands-On Gradient Boosting with XGBoost and scikit-learn. Perform accessible machine learning and extreme gradient boosting with Python
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Data Engineering with Python. Work with massive datasets to design data models and automate data pipelines using Python
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Python Machine Learning By Example. Build intelligent systems using Python, TensorFlow 2, PyTorch, and scikit-learn - Third Edition
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Microsoft Power BI Quick Start Guide. Bring your data to life through data modeling, visualization, digital storytelling, and more - Second Edition
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Artificial Intelligence with Python Cookbook. Proven recipes for applying AI algorithms and deep learning techniques using TensorFlow 2.x and PyTorch 1.6
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Essential Statistics for Non-STEM Data Analysts. Get to grips with the statistics and math knowledge needed to enter the world of data science with Python
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Quantum Computing in Practice with Qiskit(R) and IBM Quantum Experience(R). Practical recipes for quantum computer coding at the gate and algorithm level with Python
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Robotic Process Automation with Automation Anywhere. Techniques to fuel business productivity and intelligent automation using RPA
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Codeless Deep Learning with KNIME. Build, train, and deploy various deep neural network architectures using KNIME Analytics Platform
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Applied Computational Thinking with Python. Design algorithmic solutions for complex and challenging real-world problems
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Mastering Reinforcement Learning with Python. Build next-generation, self-learning models using reinforcement learning techniques and best practices
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Odoo 14 Development Cookbook. Rapidly build, customize, and manage secure and efficient business apps using Odoo's latest features - Fourth Edition
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Hands-On Vision and Behavior for Self-Driving Cars. Explore visual perception, lane detection, and object classification with Python 3 and OpenCV 4
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Modern Computer Vision with PyTorch. Explore deep learning concepts and implement over 50 real-world image applications
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Learn Quantum Computing with Python and IBM Quantum Experience. A hands-on introduction to quantum computing and writing your own quantum programs with Python
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Node Cookbook. Discover solutions, techniques, and best practices for server-side web development with Node.js 14 - Fourth Edition
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Applying Math with Python. Practical recipes for solving computational math problems using Python programming and its libraries
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Hands-On Image Generation with TensorFlow. A practical guide to generating images and videos using deep learning
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Python Data Cleaning Cookbook. Modern techniques and Python tools to detect and remove dirty data and extract key insights
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Practical Python Programming for IoT. Build advanced IoT projects using a Raspberry Pi 4, MQTT, RESTful APIs, WebSockets, and Python 3
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Big Data Analysis with Python. Combine Spark and Python to unlock the powers of parallel computing and machine learning
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Hands-On Q-Learning with Python. Practical Q-learning with OpenAI Gym, Keras, and TensorFlow
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Python Reinforcement Learning. Solve complex real-world problems by mastering reinforcement learning algorithms using OpenAI Gym and TensorFlow
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Python Data Mining Quick Start Guide. A beginner's guide to extracting valuable insights from your data
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Network Science with Python and NetworkX Quick Start Guide. Explore and visualize network data effectively
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Applied Supervised Learning with Python. Use scikit-learn to build predictive models from real-world datasets and prepare yourself for the future of machine learning