Dipanjan Sarkar, Raghav Bali - książki
Tytuły autora: dostępne w księgarni Ebookpoint
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Data Engineering with Google Cloud Platform. A guide to leveling up as a data engineer by building a scalable data platform with Google Cloud - Second Edition
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Data-Centric Machine Learning with Python. The ultimate guide to engineering and deploying high-quality models based on good data
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Deciphering Data Architectures
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Data Labeling in Machine Learning with Python. Explore modern ways to prepare labeled data for training and fine-tuning ML and generative AI models
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Managing Data Integrity for Finance. Discover practical data quality management strategies for finance analysts and data professionals
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The Definitive Guide to Google Vertex AI. Accelerate your machine learning journey with Google Cloud Vertex AI and MLOps best practices
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Web Data Mining z użyciem języka Python. Odkrywaj i wyodrębniaj informacje ze stron internetowych za pomocą języka Python
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Tworzenie rozwiązań za pomocą Microsoft Power Platform. Rozwiązywanie codziennych problemów w przedsiębiorstwie
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Przetwarzanie języka naturalnego w praktyce. Przewodnik po budowie rzeczywistych systemów NLP
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Podręcznik architekta rozwiązań. Poznaj reguły oraz strategie projektu architektury i rozpocznij niezwykłą karierę. Wydanie II
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Microsoft Power BI dla bystrzaków
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Geospatial Data Analytics on AWS. Discover how to manage and analyze geospatial data in the cloud
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Graph Data Modeling in Python. A practical guide to curating, analyzing, and modeling data with graphs
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Zaufanie do systemów sztucznej inteligencji
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Potoki danych. Leksykon kieszonkowy. Przenoszenie i przetwarzanie danych na potrzeby ich analizy
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Machine Learning for High-Risk Applications
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Computer Vision on AWS. Build and deploy real-world CV solutions with Amazon Rekognition, Lookout for Vision, and SageMaker
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Quantum Machine Learning and Optimisation in Finance. On the Road to Quantum Advantage
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SQL for Data Analytics. Harness the power of SQL to extract insights from data - Third Edition
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Głębokie uczenie. Wprowadzenie
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Feature Store for Machine Learning. Curate, discover, share and serve ML features at scale
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Data Engineering with Google Cloud Platform. A practical guide to operationalizing scalable data analytics systems on GCP
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Getting Started with Elastic Stack 8.0. Run powerful and scalable data platforms to search, observe, and secure your organization
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Scalable Data Analytics with Azure Data Explorer. Modern ways to query, analyze, and perform real-time data analysis on large volumes of data
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Machine Learning with PyTorch and Scikit-Learn. Develop machine learning and deep learning models with Python
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Hands-On Data Preprocessing in Python. Learn how to effectively prepare data for successful data analytics
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Digital Transformation and Modernization with IBM API Connect. A practical guide to developing, deploying, and managing high-performance and secure hybrid-cloud APIs
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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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Power Query Cookbook. Use effective and powerful queries in Power BI Desktop and Dataflows to prepare and transform your data
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Practical Weak Supervision
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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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Tableau Strategies
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Amazon Redshift Cookbook. Recipes for building modern data warehousing solutions
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Skazany na sukces. Kariera w Data Science
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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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Hands-On Data Visualization
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Mastering PyTorch. Build powerful neural network architectures using advanced PyTorch 1.x features
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Data Pipelines Pocket Reference
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Python. Machine learning i deep learning. Biblioteki scikit-learn i TensorFlow 2. Wydanie III
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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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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 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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Hands-On Mathematics for Deep Learning. Build a solid mathematical foundation for training efficient deep neural networks
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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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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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The Applied SQL Data Analytics Workshop. Develop your practical skills and prepare to become a professional data analyst - 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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TensorFlow. 13 praktycznych projektów wykorzystujących uczenie maszynowe
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Python Machine Learning. Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2 - Third Edition
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Developer, Advocate!. Conversations on turning a passion for talking about tech into a career
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SQL for Data Analytics. Perform fast and efficient data analysis with the power of SQL
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Cloud Native. Using Containers, Functions, and Data to Build Next-Generation Applications
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Deep Learning for Natural Language Processing. Solve your natural language processing problems with smart deep neural networks
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Geospatial Data Science Quick Start Guide. Effective techniques for performing smarter geospatial analysis using location intelligence
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Machine Learning for Finance. Principles and practice for financial insiders
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Applied Deep Learning with Keras. Solve complex real-life problems with the simplicity of Keras
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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 Machine Learning with IBM Watson. Leverage IBM Watson to implement machine learning techniques and algorithms using Python
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Python. Uczenie maszynowe. Wydanie II
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Neural Network Projects with Python. The ultimate guide to using Python to explore the true power of neural networks through six projects
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Advanced MySQL 8. Discover the full potential of MySQL and ensure high performance of your database
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Ensemble Machine Learning Cookbook. Over 35 practical recipes to explore ensemble machine learning techniques using Python
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Hands-On Data Science with the Command Line. Automate everyday data science tasks using command-line tools
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Hands-On Machine Learning for Algorithmic Trading. Design and implement investment strategies based on smart algorithms that learn from data using Python
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Ripple Quick Start Guide. Get started with XRP and develop applications on Ripple's blockchain
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Python: Advanced Guide to Artificial Intelligence. Expert machine learning systems and intelligent agents using Python
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Hands-On Big Data Modeling. Effective database design techniques for data architects and business intelligence professionals
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TensorFlow Machine Learning Projects. Build 13 real-world projects with advanced numerical computations using the Python ecosystem
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Mastering Matplotlib 2.x. Effective Data Visualization techniques with Python
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Splunk 7.x Quick Start Guide. Gain business data insights from operational intelligence
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Machine Learning in Java. Helpful techniques to design, build, and deploy powerful machine learning applications in Java - Second Edition
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Apache Hadoop 3 Quick Start Guide. Learn about big data processing and analytics
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Getting Started with Haskell Data Analysis. Put your data analysis techniques to work and generate publication-ready visualizations
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Python Deep Learning Projects. 9 projects demystifying neural network and deep learning models for building intelligent systems
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IBM Watson Projects. Eight exciting projects that put artificial intelligence into practice for optimal business performance
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Mastering Puppet 5. Optimize enterprise-grade environment performance with Puppet
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Python Reinforcement Learning Projects. Eight hands-on projects exploring reinforcement learning algorithms using TensorFlow
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Data Science with SQL Server Quick Start Guide. Integrate SQL Server with data science
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Hands-On Transfer Learning with Python. Implement advanced deep learning and neural network models using TensorFlow and Keras
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Hands-On Ensemble Learning with R. A beginner's guide to combining the power of machine learning algorithms using ensemble techniques
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Hands-On Natural Language Processing with Python. A practical guide to applying deep learning architectures to your NLP applications
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Hands-On Data Science with Anaconda. Utilize the right mix of tools to create high-performance data science applications
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Machine Learning Solutions. Expert techniques to tackle complex machine learning problems using Python
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Hands-On Automated Machine Learning. A beginner's guide to building automated machine learning systems using AutoML and Python
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Implementing Splunk 7. Effective operational intelligence to transform machine-generated data into valuable business insight - Third Edition
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TensorFlow Deep Learning Projects. 10 real-world projects on computer vision, machine translation, chatbots, and reinforcement learning
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Practical Convolutional Neural Networks. Implement advanced deep learning models using Python
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Deep Learning for Computer Vision. Expert techniques to train advanced neural networks using TensorFlow and Keras
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Qlik Sense: Advanced Data Visualization for Your Organization. Create smart data visualizations and predictive analytics solutions
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Statistics for Data Science. Leverage the power of statistics for Data Analysis, Classification, Regression, Machine Learning, and Neural Networks
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MySQL 8 for Big Data. Effective data processing with MySQL 8, Hadoop, NoSQL APIs, and other Big Data tools
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Modern R Programming Cookbook. Recipes to simplify your statistical applications
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Python Machine Learning. Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow - Second Edition
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Statistical Application Development with R and Python. Develop applications using data processing, statistical models, and CART - Second Edition
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Mastering Predictive Analytics with R. Machine learning techniques for advanced models - Second Edition
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Mastering Apache Storm. Real-time big data streaming using Kafka, Hbase and Redis
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SQL Server on Linux. Configuring and administering your SQL Server solution on Linux
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Big Data Analytics with Java. Data analysis, visualization & machine learning techniques
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Python Natural Language Processing. Advanced machine learning and deep learning techniques for natural language processing
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Practical Data Science Cookbook. Data pre-processing, analysis and visualization using R and Python - Second Edition
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Python Web Scraping. Hands-on data scraping and crawling using PyQT, Selnium, HTML and Python - Second Edition
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Learning Social Media Analytics with R. Transform data from social media platforms into actionable business insights
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Mastering Android Game Development with Unity. Build high-end Android games with Unity's advanced features
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Mastering OpenCV 3. Get hands-on with practical Computer Vision using OpenCV 3 - Second Edition
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Zapytania w języku T-SQL w Microsoft SQL Server 2014 i SQL Server 2012
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Big Data Visualization. Bring scalability and dynamics to your Big Data visualization
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Scientific Computing with Python 3. Click here to enter text
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Python: Real World Machine Learning. Take your Python Machine learning skills to the next level
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Analiza biznesowa. Praktyczne modelowanie organizacji
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R: Unleash Machine Learning Techniques. Smarter data analytics
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Introduction to R for Business Intelligence. Profit optimization using data mining, data analysis, and Business Intelligence
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Large Scale Machine Learning with Python. Click here to enter text
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R: Data Analysis and Visualization. Click here to enter text
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Data Analytics with Hadoop. An Introduction for Data Scientists
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R Machine Learning By Example. Understand the fundamentals of machine learning with R and build your own dynamic algorithms to tackle complicated real-world problems successfully
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Python for Algorithmic Trading Cookbook. Recipes for designing, building, and deploying algorithmic trading strategies with Python
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Cloud Analytics with Microsoft Azure. Build modern data warehouses with the combined power of analytics and Azure
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Tableau 10 Bootcamp. Intensive training for data visualization and dashboarding