Kaelen Medeiros - książki
Tytuły autora: dostępne w księgarni Ebookpoint
-
Mastering Ethereum. Implement advanced blockchain applications using Ethereum-supported tools, services, and protocols
-
Salesforce CRM - The Definitive Admin Handbook. Build, configure, and customize Salesforce CRM and mobile solutions - Fifth Edition
-
Applied Deep Learning with Keras. Solve complex real-life problems with the simplicity of Keras
-
Mastering IOT. Build modern IoT solutions that secure and monitor your IoT infrastructure
-
Machine Learning with R. Expert techniques for predictive modeling - Third Edition
-
E-commerce na platformach ofertowych Allegro, eBay, Amazon
-
Zawód front-end developer. 11 kroków do zostania webmasterem
-
Data Science for Marketing Analytics. Achieve your marketing goals with the data analytics power of Python
-
Hands-On Deep Learning for Games. Leverage the power of neural networks and reinforcement learning to build intelligent games
-
Mastering MongoDB 4.x. Expert techniques to run high-volume and fault-tolerant database solutions using MongoDB 4.x - Second Edition
-
Mobile Artificial Intelligence Projects. Develop seven projects on your smartphone using artificial intelligence and deep learning techniques
-
Python Machine Learning Cookbook. Over 100 recipes to progress from smart data analytics to deep learning using real-world datasets - Second Edition
-
Hands-On Big Data Analytics with PySpark. Analyze large datasets and discover techniques for testing, immunizing, and parallelizing Spark jobs
-
Hands-On Machine Learning with IBM Watson. Leverage IBM Watson to implement machine learning techniques and algorithms using Python
-
Mastering OpenCV 4 with Python. A practical guide covering topics from image processing, augmented reality to deep learning with OpenCV 4 and Python 3.7
-
R Statistics Cookbook. Over 100 recipes for performing complex statistical operations with R 3.5
-
Deep Learning with Microsoft Cognitive Toolkit Quick Start Guide. A practical guide to building neural networks using Microsoft's open source deep learning framework
-
Applied Unsupervised Learning with R. Uncover hidden relationships and patterns with k-means clustering, hierarchical clustering, and PCA
-
Legendarny osobomiesiąc. Opowieści o inżynierii oprogramowania. Wydanie II
-
Python. Uczenie maszynowe. Wydanie II
-
Building Computer Vision Projects with OpenCV 4 and C++. Implement complex computer vision algorithms and explore deep learning and face detection
-
Deep Learning. Praca z językiem Python i biblioteką Keras
-
Deep Learning. Praca z językiem R i biblioteką Keras
-
Hands-On Dashboard Development with QlikView. Practical guide to creating interactive and user-friendly business intelligence dashboards
-
Mastering Collaboration. Make Working Together Less Painful and More Productive
-
Lean Branding. Creating Dynamic Brands to Generate Conversion
-
Data Wrangling with Python. Creating actionable data from raw sources
-
Hands-On Business Intelligence with Qlik Sense. Implement self-service data analytics with insights and guidance from Qlik Sense experts
-
Hands-On Unsupervised Learning with Python. Implement machine learning and deep learning models using Scikit-Learn, TensorFlow, and more
-
Learn Chart.js. Create interactive visualizations for the Web with Chart.js 2
-
Mastering Microsoft Dynamics 365 Customer Engagement. An advanced guide to developing and customizing CRM solutions to improve your business applications - Second Edition
-
Mastering Tableau 2019.1. An expert guide to implementing advanced business intelligence and analytics with Tableau 2019.1 - Second Edition
-
Neural Network Projects with Python. The ultimate guide to using Python to explore the true power of neural networks through six projects
-
Neural Networks with Keras Cookbook. Over 70 recipes leveraging deep learning techniques across image, text, audio, and game bots
-
Python Machine Learning By Example. Implement machine learning algorithms and techniques to build intelligent systems - Second Edition
-
Hands-On Java Deep Learning for Computer Vision. Implement machine learning and neural network methodologies to perform computer vision-related tasks
-
The Enterprise Big Data Lake. Delivering the Promise of Big Data and Data Science
-
Wprowadzenie do systemów baz danych. Wydanie VII
-
SOCIAL MEDIA MARKETING DLA POCZĄTKUJĄCYCH I NIE TYLKO
-
Advanced MySQL 8. Discover the full potential of MySQL and ensure high performance of your database
-
Apache Spark Quick Start Guide. Quickly learn the art of writing efficient big data applications with Apache Spark
-
Hands-On Data Science with the Command Line. Automate everyday data science tasks using command-line tools
-
Hands-On Deep Learning with Apache Spark. Build and deploy distributed deep learning applications on Apache Spark
-
Machine Learning with the Elastic Stack. Expert techniques to integrate machine learning with distributed search and analytics
-
Mastering Machine Learning with R. Advanced machine learning techniques for building smart applications with R 3.5 - Third Edition
-
Python Machine Learning Blueprints. Put your machine learning concepts to the test by developing real-world smart projects - Second Edition
-
Tableau 2019.x Cookbook. Over 115 recipes to build end-to-end analytical solutions using Tableau
-
Go Web Scraping Quick Start Guide. Implement the power of Go to scrape and crawl data from the web
-
Blockchain w biznesie. Możliwości i zastosowania łańcucha bloków
-
Zarządzanie ludźmi w zespołach IT. Zabawne historie z życia menedżera
-
Blockchain for Business 2019. A user-friendly introduction to blockchain technology and its business applications
-
Natural Language Processing with PyTorch. Build Intelligent Language Applications Using Deep Learning
-
Python Deep Learning. Exploring deep learning techniques and neural network architectures with PyTorch, Keras, and TensorFlow - Second Edition
-
Nexus czyli skalowalny Scrum
-
Storytelling danych. Poradnik wizualizacji danych dla profesjonalistów
-
Python w uczeniu maszynowym
-
AI Blueprints. How to build and deploy AI business projects
-
Hands-On Machine Learning for Algorithmic Trading. Design and implement investment strategies based on smart algorithms that learn from data using Python
-
Hands-On Machine Learning for Cybersecurity. Safeguard your system by making your machines intelligent using the Python ecosystem
-
Keras 2.x Projects. 9 projects demonstrating faster experimentation of neural network and deep learning applications using Keras
-
Machine Learning for Mobile. Practical guide to building intelligent mobile applications powered by machine learning
-
Ripple Quick Start Guide. Get started with XRP and develop applications on Ripple's blockchain
-
Computer Vision Projects with OpenCV and Python 3. Six end-to-end projects built using machine learning with OpenCV, Python, and TensorFlow
-
Hands-On Predictive Analytics with Python. Master the complete predictive analytics process, from problem definition to model deployment
-
Odoo 12 Development Essentials. Fast-track your Odoo development skills to build powerful business applications - Fourth Edition
-
Apache Kafka Quick Start Guide. Leverage Apache Kafka 2.0 to simplify real-time data processing for distributed applications
-
Blockchain Quick Start Guide. A beginner's guide to developing enterprise-grade decentralized applications
-
QlikView: Advanced Data Visualization. Discover deeper insights with Qlikview by building your own rich analytical applications from scratch
-
Julia Programming Projects. Learn Julia 1.x by building apps for data analysis, visualization, machine learning, and the web
-
Principles of Data Science. Understand, analyze, and predict data using Machine Learning concepts and tools - Second Edition
-
Tableau 10 Complete Reference. Transform your business with rich data visualizations and interactive dashboards with Tableau 10
-
Apache Spark 2: Data Processing and Real-Time Analytics. Master complex big data processing, stream analytics, and machine learning with Apache Spark
-
Microsoft Power BI Complete Reference. Bring your data to life with the powerful features of Microsoft Power BI
-
Numerical Computing with Python. Harness the power of Python to analyze and find hidden patterns in the data
-
Python: Advanced Guide to Artificial Intelligence. Expert machine learning systems and intelligent agents using Python
-
Apache Superset Quick Start Guide. Develop interactive visualizations by creating user-friendly dashboards
-
Blockchain By Example. A developer's guide to creating decentralized applications using Bitcoin, Ethereum, and Hyperledger
-
Go Machine Learning Projects. Eight projects demonstrating end-to-end machine learning and predictive analytics applications in Go
-
Hands-On Big Data Modeling. Effective database design techniques for data architects and business intelligence professionals
-
Hands-On Data Science with R. Techniques to perform data manipulation and mining to build smart analytical models using R
-
Hands-On Image Processing with Python. Expert techniques for advanced image analysis and effective interpretation of image data
-
Practical Site Reliability Engineering. Automate the process of designing, developing, and delivering highly reliable apps and services with SRE
-
Recurrent Neural Networks with Python Quick Start Guide. Sequential learning and language modeling with TensorFlow
-
Hands-On Data Science with SQL Server 2017. Perform end-to-end data analysis to gain efficient data insight
-
Julia 1.0 Programming Cookbook. Over 100 numerical and distributed computing recipes for your daily data science work?ow
-
Mastering Matplotlib 2.x. Effective Data Visualization techniques with Python
-
PostgreSQL 11 Server Side Programming Quick Start Guide. Effective database programming and interaction
-
Splunk 7.x Quick Start Guide. Gain business data insights from operational intelligence
-
Blockchain. Podstawy technologii łańcucha bloków w 25 krokach
-
Mind mapping z komputerem. Uporządkuj swoje myśli
-
Advanced Deep Learning with Keras. Apply deep learning techniques, autoencoders, GANs, variational autoencoders, deep reinforcement learning, policy gradients, and more
-
Apache Hadoop 3 Quick Start Guide. Learn about big data processing and analytics
-
Applied Data Science with Python and Jupyter. Use powerful industry-standard tools to unlock new, actionable insights from your data
-
Getting Started with Haskell Data Analysis. Put your data analysis techniques to work and generate publication-ready visualizations
-
Hands-On Machine Learning with Azure. Build powerful models with cognitive machine learning and artificial intelligence
-
Keras Deep Learning Cookbook. Over 30 recipes for implementing deep neural networks in Python
-
Machine Learning Projects for Mobile Applications. Build Android and iOS applications using TensorFlow Lite and Core ML
-
Python Deep Learning Projects. 9 projects demystifying neural network and deep learning models for building intelligent systems
-
Machine Learning for Healthcare Analytics Projects. Build smart AI applications using neural network methodologies across the healthcare vertical market
-
Machine Learning with scikit-learn Quick Start Guide. Classification, regression, and clustering techniques in Python
-
Data science od podstaw. Analiza danych w Pythonie
-
Deep Learning. Uczenie głębokie z językiem Python. Sztuczna inteligencja i sieci neuronowe
-
CompTIA Security+ Certification Guide. Master IT security essentials and exam topics for CompTIA Security+ SY0-501 certification
-
Hands-On Neural Network Programming with C#. Add powerful neural network capabilities to your C# enterprise applications
-
IBM Watson Projects. Eight exciting projects that put artificial intelligence into practice for optimal business performance
-
Keras Reinforcement Learning Projects. 9 projects exploring popular reinforcement learning techniques to build self-learning agents
-
Mastering Predictive Analytics with scikit-learn and TensorFlow. Implement machine learning techniques to build advanced predictive models using Python
-
Mastering Puppet 5. Optimize enterprise-grade environment performance with Puppet
-
Python Reinforcement Learning Projects. Eight hands-on projects exploring reinforcement learning algorithms using TensorFlow
-
Redash v5 Quick Start Guide. Create and share interactive dashboards using Redash
-
Voicebot and Chatbot Design. Flexible conversational interfaces with Amazon Alexa, Google Home, and Facebook Messenger
-
CompTIA Project+ Certification Guide. Learn project management best practices and successfully pass the CompTIA Project+ PK0-004 exam
-
Getting Started with Tableau 2018.x. Get up and running with the new features of Tableau 2018 for impactful data visualization
-
MicroStrategy Quick Start Guide. Data analytics and visualizations for Business Intelligence
-
MongoDB 4 Quick Start Guide. Learn the skills you need to work with the world's most popular NoSQL database
-
Python Data Science Essentials. A practitioner’s guide covering essential data science principles, tools, and techniques - Third Edition
-
D3.js Quick Start Guide. Create amazing, interactive visualizations in the browser with JavaScript
-
Learning Microsoft Cognitive Services. Use Cognitive Services APIs to add AI capabilities to your applications - Third Edition
-
R Programming Fundamentals. Deal with data using various modeling techniques
-
Big Data Processing with Apache Spark. Efficiently tackle large datasets and big data analysis with Spark and Python