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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Automate Everyday Tasks in Jira. A practical, no-code approach for Jira admins and power users to automate everyday processes
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Building Cross-Platform GUI Applications with Fyne. Create beautiful, platform-agnostic graphical applications using Fyne and the Go programming language
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Machine Learning Using TensorFlow Cookbook. Create powerful machine learning algorithms with TensorFlow
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Mastering PyTorch. Build powerful neural network architectures using advanced PyTorch 1.x features
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Automated Machine Learning. Hyperparameter optimization, neural architecture search, and algorithm selection with cloud platforms
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Becoming a PMP(R) Certified Professional. A study guide to mastering project management for the PMP® exam
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AWS Certified Machine Learning Specialty: MLS-C01 Certification Guide. The definitive guide to passing the MLS-C01 exam on the very first attempt
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Interpretable Machine Learning with Python. Learn to build interpretable high-performance models with hands-on real-world examples
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Automated Machine Learning with Microsoft Azure. Build highly accurate and scalable end-to-end AI solutions with Azure AutoML
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Scalable Data Streaming with Amazon Kinesis. Design and secure highly available, cost-effective data streaming applications with Amazon Kinesis
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Machine Learning Automation with TPOT. Build, validate, and deploy fully automated machine learning models with Python
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Implementing Order to Cash Process in SAP. An end-to-end guide to understanding the OTC process and its integration with SAP CRM, SAP APO, SAP TMS, and SAP LES
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Microsoft Dynamics 365 Project Operations. Deliver profitable projects with effective project planning and productive operational workflows
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Engineering MLOps. Rapidly build, test, and manage production-ready machine learning life cycles at scale
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Interactive Dashboards and Data Apps with Plotly and Dash. Harness the power of a fully fledged frontend web framework in Python – no JavaScript required
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Automated Machine Learning with AutoKeras. Deep learning made accessible for everyone with just few lines of coding
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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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Quantum Computing with Silq Programming. Get up and running with quantum computing with the simplicity of this new high-level programming language
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Expert Data Modeling with Power BI. Get the best out of Power BI by building optimized data models for reporting and business needs
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Machine Learning with BigQuery ML. Create, execute, and improve machine learning models in BigQuery using standard SQL queries
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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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Distributed Data Systems with Azure Databricks. Create, deploy, and manage enterprise data pipelines
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Graph Machine Learning. Take graph data to the next level by applying machine learning techniques and algorithms
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Machine Learning with the Elastic Stack. Gain valuable insights from your data with Elastic Stack's machine learning features - Second Edition
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DevOps Adoption Strategies: Principles, Processes, Tools, and Trends. Embracing DevOps through effective culture, people, and processes
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Amazon Redshift Cookbook. Recipes for building modern data warehousing solutions
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Becoming a Salesforce Certified Technical Architect. Prepare for the review board by practicing example-led architectural strategies and best practices
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Hands-On Data Analysis with Pandas. A Python data science handbook for data collection, wrangling, analysis, and visualization - Second Edition
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Cleaning Data for Effective Data Science. Doing the other 80% of the work with Python, R, and command-line tools
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Managing Microsoft Teams: MS-700 Exam Guide. Configure and manage Microsoft Teams workloads and achieve Microsoft 365 certification with ease
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Software Architecture Patterns for Serverless Systems. Architecting for innovation with events, autonomous services, and micro frontends
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Effortless App Development with Oracle Visual Builder. Boost productivity by building web and mobile applications efficiently using the drag-and-drop approach
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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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Power Query Cookbook. Use effective and powerful queries in Power BI Desktop and Dataflows to prepare and transform your data
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LaTeX Beginner's Guide. Create visually appealing texts, articles, and books for business and science using LaTeX - Second Edition
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Data Engineering with Apache Spark, Delta Lake, and Lakehouse. Create scalable pipelines that ingest, curate, and aggregate complex data in a timely and secure way
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Essential PySpark for Scalable Data Analytics. A beginner's guide to harnessing the power and ease of PySpark 3
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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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Digital Transformation with Dataverse for Teams. Become a citizen developer and lead the digital transformation wave with Microsoft Teams and Power Platform
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Microsoft Power BI Cookbook. Gain expertise in Power BI with over 90 hands-on recipes, tips, and use cases - Second Edition
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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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Salesforce Data Architecture and Management. A pragmatic guide for aspiring Salesforce architects and developers to manage, govern, and secure their data effectively
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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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Empowering Organizations with Power Virtual Agents. A practical guide to building intelligent chatbots with Microsoft Power Platform
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Effective Platform Product Management. An effortless strategy and execution guide for product managers who want to scale their platform business model and grow their customer base
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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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Building Expert Business Solutions with Zoho CRM. An indispensable guide to developing future-proof CRM solutions and growing your business exponentially
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Data Analytics Made Easy. Analyze and present data to make informed decisions without writing any code
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Practical Threat Intelligence and Data-Driven Threat Hunting. A hands-on guide to threat hunting with the ATT&CK™ Framework and open source tools
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3D Graphics Rendering Cookbook. A comprehensive guide to exploring rendering algorithms in modern OpenGL and Vulkan
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Exploring GPT-3. An unofficial first look at the general-purpose language processing API from OpenAI
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Machine Learning Engineering with MLflow. Manage the end-to-end machine learning life cycle with MLflow
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Salesforce B2C Solution Architect's Handbook. Design scalable and cohesive business-to-consumer experiences with Salesforce Customer 360
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Data Processing with Optimus. Supercharge big data preparation tasks for analytics and machine learning with Optimus using Dask and PySpark
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Modern DevOps Practices. Implement and secure DevOps in the public cloud with cutting-edge tools, tips, tricks, and techniques
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Building Data-Driven Applications with Danfo.js. A practical guide to data analysis and machine learning using JavaScript
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Building Data Science Applications with FastAPI. Develop, manage, and deploy efficient machine learning applications with Python
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IBM Cloud Pak for Data. An enterprise platform to operationalize data, analytics, and AI
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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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Machine Learning for Time-Series with Python. Forecast, predict, and detect anomalies with state-of-the-art machine learning methods
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Technical Program Manager's Handbook. Empowering managers to efficiently manage technical projects and build a successful career path
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Up and Running with Affinity Designer. A practical, easy-to-follow guide to get up to speed with the powerful features of Affinity Designer 1.10
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Hands-On Reinforcement Learning for Games. Implementing self-learning agents in games using artificial intelligence techniques
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CompTIA Security+ Practice Tests SY0-501. Practice tests in 4 different formats and 6 cheat sheets to help you pass the CompTIA Security+ exam
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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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Hands-On Music Generation with Magenta. Explore the role of deep learning in music generation and assisted music composition
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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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Deep Learning with R Cookbook. Over 45 unique recipes to delve into neural network techniques using R 3.5.x
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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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Hands-On Exploratory Data Analysis with Python. Perform EDA techniques to understand, summarize, and investigate your data
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Hands-On Machine Learning with ML.NET. Getting started with Microsoft ML.NET to implement popular machine learning algorithms in C#
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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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Securing Blockchain Networks like Ethereum and Hyperledger Fabric. Learn advanced security configurations and design principles to safeguard Blockchain networks
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Hands-On Deep Learning with R. A practical guide to designing, building, and improving neural network models using R
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Federated Learning with Python. Design and implement a federated learning system and develop applications using existing frameworks
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Mastering Azure Machine Learning. Perform large-scale end-to-end advanced machine learning in the cloud with Microsoft Azure Machine Learning
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Modern Computer Architecture and Organization. Learn x86, ARM, and RISC-V architectures and the design of smartphones, PCs, and cloud servers
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Responsive Web Design with HTML5 and CSS. Develop future-proof responsive websites using the latest HTML5 and CSS techniques - Third Edition
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The Infinite Retina. Spatial Computing, Augmented Reality, and how a collision of new technologies are bringing about the next tech revolution
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Hands-On RTOS with Microcontrollers. Building real-time embedded systems using FreeRTOS, STM32 MCUs, and SEGGER debug tools
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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 Machine Learning with C++. Build, train, and deploy end-to-end machine learning and deep learning pipelines
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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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Salesforce for Beginners. A step-by-step guide to creating, managing, and automating sales and marketing processes
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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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Xamarin.Forms Projects. Build multiplatform mobile apps and a game from scratch using C# and Visual Studio 2019 - Second Edition
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Microsoft 365 and SharePoint Online Cookbook. Over 100 practical recipes to help you get the most out of Office 365 and SharePoint Online
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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 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 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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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 Natural Language Processing Workshop. Confidently design and build your own NLP projects with this easy-to-understand practical guide
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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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Hands-On Graph Analytics with Neo4j. Perform graph processing and visualization techniques using connected data across your enterprise
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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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Scaling Scrum Across Modern Enterprises. Implement Scrum and Lean-Agile techniques across complex products, portfolios, and programs in large organizations
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Learning Microsoft Project 2019. Streamline project, resource, and schedule management with Microsoft's project management software
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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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Fundamentals of CRM with Dynamics 365 and Power Platform. Enhance your customer relationship management by extending Dynamics 365 using a no-code approach
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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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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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Learn TensorFlow Enterprise. Build, manage, and scale machine learning workloads seamlessly using Google's TensorFlow Enterprise