Dipanjan Sarkar, Raghav Bali - książki
Tytuły autora: dostępne w księgarni Ebookpoint
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Azure Data Engineer Associate Certification Guide. Ace the DP-203 exam with advanced data engineering skills - Second Edition
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Fundamentals of Analytics Engineering. An introduction to building end-to-end analytics solutions
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Data Engineering with Scala and Spark. Build streaming and batch pipelines that process massive amounts of data using Scala
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Automating Data Quality Monitoring
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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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Architecting Data and Machine Learning Platforms
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Building ETL Pipelines with Python. Create and deploy enterprise-ready ETL pipelines by employing modern methods
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Probabilistic Machine Learning for Finance and Investing
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Data Wrangling on AWS. Clean and organize complex data for analysis
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Data Wrangling with SQL. A hands-on guide to manipulating, wrangling, and engineering data using SQL
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Zaufanie do systemów sztucznej inteligencji
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Machine Learning for High-Risk Applications
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The Art of Data-Driven Business. Transform your organization into a data-driven one with the power of Python machine learning
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Deep Learning with TensorFlow and Keras. Build and deploy supervised, unsupervised, deep, and reinforcement learning models - Third Edition
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Serverless ETL and Analytics with AWS Glue. Your comprehensive reference guide to learning about AWS Glue and its features
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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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Simplifying Data Engineering and Analytics with Delta. Create analytics-ready data that fuels artificial intelligence and business intelligence
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Głębokie uczenie przez wzmacnianie. Praca z chatbotami oraz robotyka, optymalizacja dyskretna i automatyzacja sieciowa w praktyce. Wydanie II
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Practical Simulations for Machine Learning
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Fundamentals of Deep Learning. 2nd Edition
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Data Algorithms with Spark
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AI-Powered Commerce. Building the products and services of the future with Commerce.AI
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IBM Cloud Pak for Data. An enterprise platform to operationalize data, analytics, and AI
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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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Reliable Machine Learning
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Amazon Redshift Cookbook. Recipes for building modern data warehousing solutions
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Practical Machine Learning for Computer Vision
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Wzorce projektowe uczenia maszynowego. Rozwiązania typowych problemów dotyczących przygotowania danych, konstruowania modeli i MLOps
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Distributed Data Systems with Azure Databricks. Create, deploy, and manage enterprise data pipelines
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PyTorch Pocket Reference
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Analiza danych w zarządzaniu projektami
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Kubeflow Operations Guide
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Machine Learning Design Patterns
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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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Semantic Modeling for Data
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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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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 Deep Learning with R. A practical guide to designing, building, and improving neural network models using R
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Język R. Receptury. Analiza danych, statystyka i przetwarzanie grafiki. Wydanie II
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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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Algorytmy dla bystrzaków
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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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Google BigQuery: The Definitive Guide. Data Warehousing, Analytics, and Machine Learning at Scale
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Practical Automated Machine Learning on Azure. Using Azure Machine Learning to Quickly Build AI Solutions
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Practical Data Science with SAP. Machine Learning Techniques for Enterprise 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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R Cookbook. Proven Recipes for Data Analysis, Statistics, and Graphics. 2nd Edition
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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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PyTorch Deep Learning Hands-On. Build CNNs, RNNs, GANs, reinforcement learning, and more, quickly and easily
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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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Machine Learning with R Quick Start Guide. A beginner's guide to implementing machine learning techniques from scratch using R 3.5
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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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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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Intelligent Projects Using Python. 9 real-world AI projects leveraging machine learning and deep learning with TensorFlow and Keras
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Python Deep Learning. Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow - Second Edition
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Machine Learning for Mobile. Practical guide to building intelligent mobile applications powered by machine learning
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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 Image Processing with Python. Expert techniques for advanced image analysis and effective interpretation of image data
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Hands-On Artificial Intelligence for Beginners. An introduction to AI concepts, algorithms, and their implementation
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Hands-On Machine Learning with Azure. Build powerful models with cognitive machine learning and artificial intelligence
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Deep Learning. Uczenie głębokie z językiem Python. Sztuczna inteligencja i sieci neuronowe
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Python Reinforcement Learning Projects. Eight hands-on projects exploring reinforcement learning algorithms using TensorFlow
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Hands-On Markov Models with Python. Implement probabilistic models for learning complex data sequences using the Python ecosystem
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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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Mastering Python Design Patterns. A guide to creating smart, efficient, and reusable software - Second Edition
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Hands-On Artificial Intelligence for Search. Building intelligent applications and perform enterprise searches
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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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Blockchain Quick Reference. A guide to exploring decentralized blockchain application development
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Hands-On Intelligent Agents with OpenAI Gym. Your guide to developing AI agents using deep reinforcement learning
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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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Deep Reinforcement Learning Hands-On. Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more
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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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Artificial Intelligence for Big Data. Complete guide to automating Big Data solutions using Artificial Intelligence techniques
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Mastering Geospatial Analysis with Python. Explore GIS processing and learn to work with GeoDjango, CARTOframes and MapboxGL-Jupyter
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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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Ethereum Smart Contract Development. Build blockchain-based decentralized applications using solidity
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R Deep Learning Projects. Master the techniques to design and develop neural network models in R
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Teradata Cookbook. Over 85 recipes to implement efficient data warehousing solutions
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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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Implementing Qlik Sense. Design, Develop, and Validate BI solutions for consultants
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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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Practical Time Series Analysis. Master Time Series Data Processing, Visualization, and Modeling using Python
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Scala for Machine Learning. Build systems for data processing, machine learning, and deep learning - Second Edition
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Deep Learning. A Practitioner's Approach
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Practical Data Science Cookbook. Data pre-processing, analysis and visualization using R and Python - Second Edition
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Data Lake for Enterprises. Lambda Architecture for building enterprise data systems
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Learning Social Media Analytics with R. Transform data from social media platforms into actionable business insights
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Python Deep Learning. Next generation techniques to revolutionize computer vision, AI, speech and data analysis
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Deep Learning with Keras. Implementing deep learning models and neural networks with the power of Python
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Practical Machine Learning Cookbook. Supervised and unsupervised machine learning simplified
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Learning Quantitative Finance with R. Implement machine learning, time-series analysis, algorithmic trading and more
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Effective Business Intelligence with QuickSight. Boost your business IQ with Amazon QuickSight
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Splunk: Enterprise Operational Intelligence Delivered. Machine data made accessible
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Scala: Guide for Data Science Professionals. Build robust data pipelines with Scala
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Deep Learning with Hadoop. Distributed Deep Learning with Large-Scale Data
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Elasticsearch 5.x Cookbook. Distributed Search and Analytics - Third Edition
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Windows Server 2016 Hyper-V Cookbook. Save time and resources by getting to know the best practices and intelligence from industry experts - Second Edition
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Mastering Text Mining with R. Extract and recognize your text data
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Apache Spark for Data Science Cookbook. Solve real-world analytical problems
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Tableau 10 Business Intelligence Cookbook. Create powerful, effective visualizations with Tableau 10
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R: Unleash Machine Learning Techniques. Smarter data analytics
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Hadoop Blueprints. Click here to enter text
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Practical Data Analysis. Pandas, MongoDB, Apache Spark, and more - Second Edition
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Hadoop: Data Processing and Modelling. Data Processing and Modelling
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R: Data Analysis and Visualization. Click here to enter text
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Splunk Operational Intelligence Cookbook. Transform Big Data into business-critical insights and rethink operational Intelligence with Splunk - Second Edition
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Hadoop Real-World Solutions Cookbook. Over 90 hands-on recipes to help you learn and master the intricacies of Apache Hadoop 2.X, YARN, Hive, Pig, Oozie, Flume, Sqoop, Apache Spark, and Mahout - Second Edition
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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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Hands-On Image Processing with Python. Advanced Methods for Analyzing, Transforming, and Interpreting Digital Images with Expertise - Second Edition
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Tableau 10 Bootcamp. Intensive training for data visualization and dashboarding
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Poznajemy Sparka. Błyskawiczna analiza danych