Nataraj Dasgupta - książki
Tytuły autora: dostępne w księgarni Ebookpoint
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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 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 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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Building Analytics Teams. Harnessing analytics and artificial intelligence for business improvement
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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 Mathematics for Deep Learning. Build a solid mathematical foundation for training efficient deep neural networks
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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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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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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 Machine Learning with ML.NET. Getting started with Microsoft ML.NET to implement popular machine learning algorithms in C#
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Człowiek na rozdrożu. Sztuczna inteligencja 25 punktów widzenia
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Język R. Receptury. Analiza danych, statystyka i przetwarzanie grafiki. Wydanie II
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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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Data science od podstaw. Analiza danych w Pythonie. Wydanie II
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Algorytmy dla bystrzaków
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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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Tableau Desktop Certified Associate: Exam Guide. Develop your Tableau skills and prepare for Tableau certification with tips from industry experts
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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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Microsoft Excel 2019 Przetwarzanie danych za pomocą tabel przestawnych
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Java Deep Learning Cookbook. Train neural networks for classification, NLP, and reinforcement learning using Deeplearning4j
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Google BigQuery: The Definitive Guide. Data Warehousing, Analytics, and Machine Learning at Scale
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Developer, Advocate!. Conversations on turning a passion for talking about tech into a career
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Practical Machine Learning with R. Define, build, and evaluate machine learning models for real-world applications
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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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R Cookbook. Proven Recipes for Data Analysis, Statistics, and Graphics. 2nd Edition
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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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Deep learning Głęboka rewolucja. Kiedy sztuczna inteligencja spotyka się z ludzką
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Deep Learning with R for Beginners. Design neural network models in R 3.5 using TensorFlow, Keras, and MXNet
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Hands-On Data Analysis with Scala. Perform data collection, processing, manipulation, and visualization with Scala
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Hands-On Machine Learning with Microsoft Excel 2019. Build complete data analysis flows, from data collection to visualization
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Machine Learning for Data Mining. Improve your data mining capabilities with advanced predictive modeling
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Applied Deep Learning with Keras. Solve complex real-life problems with the simplicity of Keras
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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 Machine Learning with IBM Watson. Leverage IBM Watson to implement machine learning techniques and algorithms using Python
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R Statistics Cookbook. Over 100 recipes for performing complex statistical operations with R 3.5
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Learning Tableau 2019. Tools for Business Intelligence, data prep, and visual analytics - Third Edition
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Python. Uczenie maszynowe. Wydanie II
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Building Computer Vision Projects with OpenCV 4 and C++. Implement complex computer vision algorithms and explore deep learning and face detection
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Deep Learning. Praca z językiem R i biblioteką Keras
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Data Wrangling with Python. Creating actionable data from raw sources
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Hands-On Business Intelligence with Qlik Sense. Implement self-service data analytics with insights and guidance from Qlik Sense experts
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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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Hands-On Blockchain for Python Developers. Gain blockchain programming skills to build decentralized applications using Python
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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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Generative Adversarial Networks Cookbook. Over 100 recipes to build generative models using Python, TensorFlow, and Keras
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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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Machine Learning with Apache Spark Quick Start Guide. Uncover patterns, derive actionable insights, and learn from big data using MLlib
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Deep Learning with PyTorch Quick Start Guide. Learn to train and deploy neural network models in Python
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Tableau 10 Complete Reference. Transform your business with rich data visualizations and interactive dashboards with Tableau 10
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Apache Spark 2: Data Processing and Real-Time Analytics. Master complex big data processing, stream analytics, and machine learning with Apache Spark
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Python: Advanced Guide to Artificial Intelligence. Expert machine learning systems and intelligent agents using Python
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Apache Ignite Quick Start Guide. Distributed data caching and processing made easy
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Blockchain By Example. A developer's guide to creating decentralized applications using Bitcoin, Ethereum, and Hyperledger
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Hands-On Big Data Modeling. Effective database design techniques for data architects and business intelligence professionals
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Hands-On Data Science with R. Techniques to perform data manipulation and mining to build smart analytical models using R
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Practical Site Reliability Engineering. Automate the process of designing, developing, and delivering highly reliable apps and services with SRE
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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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Hands-On Machine Learning with Azure. Build powerful models with cognitive machine learning and artificial intelligence
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Keras Deep Learning Cookbook. Over 30 recipes for implementing deep neural networks in Python
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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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Machine Learning with scikit-learn Quick Start Guide. Classification, regression, and clustering techniques in Python
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Data science od podstaw. Analiza danych w Pythonie
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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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CompTIA Project+ Certification Guide. Learn project management best practices and successfully pass the CompTIA Project+ PK0-004 exam
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Mastering Arduino. A project-based approach to electronics, circuits, and programming
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Data Science with SQL Server Quick Start Guide. Integrate SQL Server with data science
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Ethereum Cookbook. Over 100 recipes covering Ethereum-based tokens, games, wallets, smart contracts, protocols, and Dapps
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Hands-On Artificial Intelligence with Java for Beginners. Build intelligent apps using machine learning and deep learning with Deeplearning4j
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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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Qlik Sense Cookbook. Over 80 recipes on data analytics to solve business intelligence challenges - Second Edition
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Hands-On Convolutional Neural Networks with TensorFlow. Solve computer vision problems with modeling in TensorFlow and Python
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R Deep Learning Essentials. A step-by-step guide to building deep learning models using TensorFlow, Keras, and MXNet - Second Edition
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Python Artificial Intelligence Projects for Beginners. Get up and running with Artificial Intelligence using 8 smart and exciting AI applications
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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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fastText Quick Start Guide. Get started with Facebook's library for text representation and classification
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Deep Learning. Praktyczne wprowadzenie
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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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Getting Started with Kudu. Perform Fast Analytics on Fast Data
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Hands-On Computer Vision with Julia. Build complex applications with advanced Julia packages for image processing, neural networks, and Artificial Intelligence
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Hands-On Cybersecurity with Blockchain. Implement DDoS protection, PKI-based identity, 2FA, and DNS security using Blockchain
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Machine Learning with Core ML. An iOS developer's guide to implementing machine learning in mobile apps
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Hands-On Data Visualization with Bokeh. Interactive web plotting for Python using Bokeh
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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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Splunk Operational Intelligence Cookbook. Over 80 recipes for transforming your data into business-critical insights using Splunk - Third Edition
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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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Splunk 7 Essentials. Demystify machine data by leveraging datasets, building reports, and sharing powerful insights - 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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Mastering Qlik Sense. Expert techniques on self-service data analytics to create enterprise ready Business Intelligence solutions
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Practical Convolutional Neural Networks. Implement advanced deep learning models using Python
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SQL Server 2017 Machine Learning Services with R. Data exploration, modeling, and advanced analytics
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Teradata Cookbook. Over 85 recipes to implement efficient data warehousing solutions
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Cloud Native Development Patterns and Best Practices. Practical architectural patterns for building modern, distributed cloud-native systems
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Mastering PostgreSQL 10. Expert techniques on PostgreSQL 10 development and administration
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Deep Learning Essentials. Your hands-on guide to the fundamentals of deep learning and neural network modeling
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Deep Learning for Computer Vision. Expert techniques to train advanced neural networks using TensorFlow and Keras
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OpenCV 3.x with Python By Example. Make the most of OpenCV and Python to build applications for object recognition and augmented reality - Second Edition
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Practical Big Data Analytics. Hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R
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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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Deep learning Głęboka rewolucja. Kiedy sztuczna inteligencja spotyka się z ludzką