Dr. Tirthajyoti Sarkar, Shubhadeep Roychowdhury - książki
Tytuły autora: dostępne w księgarni Ebookpoint
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Big Data on Kubernetes. A practical guide to building efficient and scalable data solutions
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Matematyka w programowaniu gier i grafice komputerowej. Tworzenie i renderowanie wirtualnych środowisk 3D oraz praca z nimi
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Mastering Python Design Patterns. Craft essential Python patterns by following core design principles - Third Edition
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LangChain in your Pocket. LangChain Essentials: From Basic Concepts to Advanced Applications
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Accelerate Model Training with PyTorch 2.X. Build more accurate models by boosting the model training process
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Bayesian Analysis with Python. A practical guide to probabilistic modeling - Third Edition
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Deep Learning with MXNet Cookbook. Discover an extensive collection of recipes for creating and implementing AI models on MXNet
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Developing Kaggle Notebooks. Pave your way to becoming a Kaggle Notebooks Grandmaster
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Python w pigułce. Podręczny przewodnik po wersjach 3.10 i 3.11
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Building Recommendation Systems in Python and JAX
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Python Nauka programowania dla każdego
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Python Data Science. Niezbędne narzędzia do pracy z danymi. Wydanie II
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The Statistics and Machine Learning with R Workshop. Unlock the power of efficient data science modeling with this hands-on guide
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A Developer's Guide to .NET in Azure. Build quick, scalable cloud-native applications and microservices with .NET 6.0 and Azure
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Head First Python. 3rd Edition
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Podstawy programowania w języku Python w przykładach z rozwiązaniami
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Programowanie zorientowane obiektowo w Pythonie. Tworzenie solidnych i łatwych w utrzymaniu aplikacji i bibliotek. Wydanie IV
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Learning Ray
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AWS dla administratorów systemów. Tworzenie i utrzymywanie niezawodnych aplikacji chmurowych
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Python Data Science Handbook. 2nd Edition
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Explainable AI for Practitioners
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Network Protocols for Security Professionals. Probe and identify network-based vulnerabilities and safeguard against network protocol breaches
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Python for Geospatial Data Analysis
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Algorytmy w Pythonie. Techniki programowania dla praktyków
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Natural Language Processing with TensorFlow. The definitive NLP book to implement the most sought-after machine learning models and tasks - Second Edition
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Finanse i Python. Łagodne wprowadzenie do teorii finansów
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Sztuczna inteligencja w finansach. Używaj języka Python do projektowania i wdrażania algorytmów AI
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Distributed .NET with Microsoft Orleans. Build robust and highly scalable distributed applications without worrying about complex programming patterns
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Python for ArcGIS Pro. Automate cartography and data analysis using ArcPy, ArcGIS API for Python, Notebooks, and pandas
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Microsoft Power BI Performance Best Practices. A comprehensive guide to building consistently fast Power BI solutions
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Data Lakehouse in Action. Architecting a modern and scalable data analytics platform
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Jak zaprogramować robota. Zastosowanie Raspberry Pi i Pythona w tworzeniu autonomicznych robotów. Wydanie II
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Agile Machine Learning with DataRobot. Automate each step of the machine learning life cycle, from understanding problems to delivering value
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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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Serverless Analytics with Amazon Athena. Query structured, unstructured, or semi-structured data in seconds without setting up any infrastructure
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Maximizing Tableau Server. A beginner's guide to accessing, sharing, and managing content on Tableau Server
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Python dla testera
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Financial Theory with Python
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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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Amazon Redshift Cookbook. Recipes for building modern data warehousing solutions
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Robust Python
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Python Object-Oriented Programming. Build robust and maintainable object-oriented Python applications and libraries - Fourth Edition
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Sztuczna inteligencja. Błyskawiczne wprowadzenie do uczenia maszynowego, uczenia ze wzmocnieniem i uczenia głębokiego
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Limitless Analytics with Azure Synapse. An end-to-end analytics service for data processing, management, and ingestion for BI and ML
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Statystyka praktyczna w data science. 50 kluczowych zagadnień w językach R i Python. Wydanie II
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Distributed Data Systems with Azure Databricks. Create, deploy, and manage enterprise data pipelines
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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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Hands-On Financial Trading with Python. A practical guide to using Zipline and other Python libraries for backtesting trading strategies
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Mastering PyTorch. Build powerful neural network architectures using advanced PyTorch 1.x features
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TensorFlow 2 Reinforcement Learning Cookbook. Over 50 recipes to help you build, train, and deploy learning agents for real-world applications
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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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Architektura aplikacji w Pythonie. TDD, DDD i rozwój mikrousług reaktywnych
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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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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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Python for Algorithmic Trading
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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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Python dla programistów. Big Data i AI. Studia przypadków
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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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Blockchain Success Stories
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Praktyczne uczenie nienadzorowane przy użyciu języka Python
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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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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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The Reinforcement Learning Workshop. Learn how to apply cutting-edge reinforcement learning algorithms to a wide range of control problems
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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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The Natural Language Processing Workshop. Confidently design and build your own NLP projects with this easy-to-understand practical guide
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Programowanie dla początkujących w 24 godziny. Wydanie IV
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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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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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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 Data Wrangling Workshop. Create your own actionable insights using data from multiple raw sources - Second Edition
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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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Hands-On Simulation Modeling with Python. Develop simulation models to get accurate results and enhance decision-making processes
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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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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 Web Penetration Testing with Metasploit. The subtle art of using Metasploit 5.0 for web application exploitation
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Czysty kod w Pythonie
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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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Python Image Processing Cookbook. Over 60 recipes to help you perform complex image processing and computer vision tasks with ease
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Practical Statistics for Data Scientists. 50+ Essential Concepts Using R and Python. 2nd Edition
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Architecture Patterns with Python. Enabling Test-Driven Development, Domain-Driven Design, and Event-Driven Microservices
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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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Programowanie w Pythonie dla bystrzaków. Wydanie II
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Algorytmy dla bystrzaków
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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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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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The Data Science Workshop. A New, Interactive Approach to Learning Data Science
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Deep Learning with TensorFlow 2 and Keras. Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API - Second Edition
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Matematyczne przygody z Pythonem
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Hands-On Neural Networks with TensorFlow 2.0. Understand TensorFlow, from static graph to eager execution, and design neural networks
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Learn Python by Building Data Science Applications. A fun, project-based guide to learning Python 3 while building real-world apps
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Hands-On Artificial Intelligence for Cybersecurity. Implement smart AI systems for preventing cyber attacks and detecting threats and network anomalies
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Master Data Science with Python. Combine Python with machine learning principles to discover hidden patterns in raw data
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Hands-On Web Scraping with Python. Perform advanced scraping operations using various Python libraries and tools such as Selenium, Regex, and others
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Principles of Strategic Data Science. Creating value from data, big and small
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Hands-On Computer Vision with TensorFlow 2. Leverage deep learning to create powerful image processing apps with TensorFlow 2.0 and Keras
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Applied Unsupervised Learning with Python. Discover hidden patterns and relationships in unstructured data with Python
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Hands-On GPU Computing with Python. Explore the capabilities of GPUs for solving high performance computational problems
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Data Science Projects with Python. A case study approach to successful data science projects using Python, pandas, and scikit-learn
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Odoo 12 Development Cookbook. 190+ unique recipes to build effective enterprise and business applications - Third Edition
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Network Science with Python and NetworkX Quick Start Guide. Explore and visualize network data effectively
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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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Data Science for Marketing Analytics. Achieve your marketing goals with the data analytics power of Python
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Mobile Artificial Intelligence Projects. Develop seven projects on your smartphone using artificial intelligence and deep learning techniques
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Python Machine Learning Cookbook. Over 100 recipes to progress from smart data analytics to deep learning using real-world datasets - Second Edition
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Hands-On Big Data Analytics with PySpark. Analyze large datasets and discover techniques for testing, immunizing, and parallelizing Spark jobs
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Hands-On Data Science for Marketing. Improve your marketing strategies with machine learning using Python and R
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Mastering Geospatial Development with QGIS 3.x. An in-depth guide to becoming proficient in spatial data analysis using QGIS 3.4 and 3.6 with Python - Third Edition
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Advanced Python Programming. Build high performance, concurrent, and multi-threaded apps with Python using proven design patterns
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Data Wrangling with Python. Creating actionable data from raw sources
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Learn Robotics Programming. Build and control cutting-edge AI robots with Raspberry Pi and Python - Third Edition
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Modern Time Series Forecasting with Python. Industry-ready machine learning and deep learning time series analysis with PyTorch and pandas - Second Edition
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LLM Engineer's Handbook. Master the art of engineering Large Language Models from concept to production
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Machine Learning and Generative AI for Marketing. Take your data-driven marketing strategies to the next level using Python
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Implementing GitOps with Kubernetes. Automate, manage, scale, and secure infrastructure and cloud-native applications on AWS and Azure
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Python for Algorithmic Trading Cookbook. Recipes for designing, building, and deploying algorithmic trading strategies with Python
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Deep Reinforcement Learning Hands-On. A practical and easy-to-follow guide to RL from Q-learning and DQNs to PPO and RLHF - Third Edition
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Adversarial AI Attacks, Mitigations, and Defense Strategies. A cybersecurity professional's guide to AI attacks, threat modeling, and securing AI with MLSecOps
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Klasyczne problemy informatyki w Pythonie