Andy Pandharikar, Frederik Bussler - książki
Tytuły autora: dostępne w księgarni Ebookpoint
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Getting Started with DuckDB. A practical guide for accelerating your data science, data analytics, and data engineering workflows
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Developing Kaggle Notebooks. Pave your way to becoming a Kaggle Notebooks Grandmaster
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Cracking the Data Engineering Interview. Land your dream job with the help of resume-building tips, over 100 mock questions, and a unique portfolio
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Google Analytics od podstaw. Analiza wpływu biznesowego i wyznaczanie trendów
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Machine Learning in Microservices. Productionizing microservices architecture for machine learning solutions
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Python Feature Engineering Cookbook. Over 70 recipes for creating, engineering, and transforming features to build machine learning models - Second Edition
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Praktyczne uczenie maszynowe w języku R
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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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AI-Powered Commerce. Building the products and services of the future with Commerce.AI
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Software Architecture Patterns for Serverless Systems. Architecting for innovation with events, autonomous services, and micro frontends
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Statystyka praktyczna w data science. 50 kluczowych zagadnień w językach R i Python. Wydanie II
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Automated Machine Learning. Hyperparameter optimization, neural architecture search, and algorithm selection with cloud platforms
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Analiza danych w zarządzaniu projektami
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Python dla DevOps. Naucz się bezlitośnie skutecznej automatyzacji
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Learn Quantum Computing with Python and IBM Quantum Experience. A hands-on introduction to quantum computing and writing your own quantum programs with Python
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Practical Synthetic Data Generation. Balancing Privacy and the Broad Availability of Data
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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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Człowiek na rozdrożu. Sztuczna inteligencja 25 punktów widzenia
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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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Deep Learning for Natural Language Processing. Solve your natural language processing problems with smart deep neural networks
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Machine Learning for Data Mining. Improve your data mining capabilities with advanced predictive modeling
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QlikView: Advanced Data Visualization. Discover deeper insights with Qlikview by building your own rich analytical applications from scratch
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Machine Learning for Healthcare Analytics Projects. Build smart AI applications using neural network methodologies across the healthcare vertical market
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MicroStrategy Quick Start Guide. Data analytics and visualizations for Business Intelligence
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R Programming Fundamentals. Deal with data using various modeling techniques
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Building Machine Learning Systems with Python. Explore machine learning and deep learning techniques for building intelligent systems using scikit-learn and TensorFlow - Third Edition
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Apache Spark Deep Learning Cookbook. Over 80 best practice recipes for the distributed training and deployment of neural networks using Keras and TensorFlow
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Big Data Architect's Handbook. A guide to building proficiency in tools and systems used by leading big data experts
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Natural Language Processing with TensorFlow. Teach language to machines using Python's deep learning library
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Deep Learning By Example. A hands-on guide to implementing advanced machine learning algorithms and neural networks
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Building Smart Drones with ESP8266 and Arduino. Build exciting drones by leveraging the capabilities of Arduino and ESP8266
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IBM SPSS Modeler Essentials. Effective techniques for building powerful data mining and predictive analytics solutions
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Machine Learning with TensorFlow 1.x. Second generation machine learning with Google's brainchild - TensorFlow 1.x
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Modern R Programming Cookbook. Recipes to simplify your statistical applications
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Learning TensorFlow. A Guide to Building Deep Learning Systems
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Learning SAP Analytics Cloud. Collaborate, predict and solve business intelligence problems with cloud computing
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Practical Data Science Cookbook. Data pre-processing, analysis and visualization using R and Python - Second Edition
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Mastering OpenCV 3. Get hands-on with practical Computer Vision using OpenCV 3 - Second Edition
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Deep Learning with TensorFlow. Explore neural networks with Python
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Practical Business Intelligence. Optimize Business Intelligence for Efficient Data Analysis
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Naczelny Algorytm. Jak jego odkrycie zmieni nasz świat
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R: Data Analysis and Visualization. Click here to enter text
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OpenStack Sahara Essentials. Integrate, deploy, rapidly configure, and successfully manage your own big data-intensive clusters in the cloud using OpenStack Sahara
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Python Business Intelligence Cookbook. Leverage the computational power of Python with more than 60 recipes that arm you with the required skills to make informed business decisions
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Getting Started with Python Data Analysis. Learn to use powerful Python libraries for effective data processing and analysis
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Sharing Big Data Safely. Managing Data Security
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Metody i techniki odkrywania wiedzy. Narzędzia CAQDAS w procesie analizy danych jakościowych
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Interactive Applications Using Matplotlib
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Real-World Hadoop
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Mastering R for Quantitative Finance. Use R to optimize your trading strategy and build up your own risk management system
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R Graphs Cookbook. Over 70 recipes for building and customizing publication-quality visualizations of powerful and stunning R graphs
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Using Flume. Flexible, Scalable, and Reliable Data Streaming
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Practical Machine Learning: Innovations in Recommendation
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Practical Machine Learning: A New Look at Anomaly Detection
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Optimizing Hadoop for MapReduce. This book is the perfect introduction to sophisticated concepts in MapReduce and will ensure you have the knowledge to optimize job performance. This is not an academic treatise; it’s an example-driven tutorial for the real world
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Anonymizing Health Data. Case Studies and Methods to Get You Started
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ZooKeeper. Distributed Process Coordination
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Building Machine Learning Systems with Python. Expand your Python knowledge and learn all about machine-learning libraries in this user-friendly manual. ML is the next big breakthrough in technology and this book will give you the head-start you need
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QlikView for Developers Cookbook. Take your QlikView training to the next level with this brilliant book that's packed with recipes which progress from intermediate to advanced. The step-by step-approach makes learning easy and enjoyable
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Disruptive Possibilities: How Big Data Changes Everything
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Big Data Now: 2012 Edition. 2nd Edition
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Planning for Big Data
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Becoming a Data Analyst. A beginner's guide to kickstarting your data analysis journey
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Learn Quantum Computing with Python and IBM Quantum. Write your own practical quantum programs with Python - Second Edition
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Data Analysis with Polars. Get up and running with Polars to perform effective data analysis in Rust
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Building Machine Learning Systems with Python