Bruce Schneier - książki
Tytuły autora: dostępne w księgarni Ebookpoint
-
Machine Learning for Healthcare Analytics Projects. Build smart AI applications using neural network methodologies across the healthcare vertical market
-
R Graphics Cookbook. Practical Recipes for Visualizing Data. 2nd Edition
-
Matplotlib 3.0 Cookbook. Over 150 recipes to create highly detailed interactive visualizations using Python
-
Data science od podstaw. Analiza danych w Pythonie
-
Deep Learning. Uczenie głębokie z językiem Python. Sztuczna inteligencja i sieci neuronowe
-
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
-
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
-
Python Data Science Essentials. A practitioner’s guide covering essential data science principles, tools, and techniques - Third Edition
-
Hands-On Markov Models with Python. Implement probabilistic models for learning complex data sequences using the Python ecosystem
-
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
-
Blockchain for Enterprise. Build scalable blockchain applications with privacy, interoperability, and permissioned features
-
Become a Python Data Analyst. Perform exploratory data analysis and gain insight into scientific computing using Python
-
Data Science with SQL Server Quick Start Guide. Integrate SQL Server with data science
-
Hands-On Artificial Intelligence with Java for Beginners. Build intelligent apps using machine learning and deep learning with Deeplearning4j
-
Hands-On Dashboard Development with Shiny. A practical guide to building effective web applications and dashboards
-
Hands-On Transfer Learning with Python. Implement advanced deep learning and neural network models using TensorFlow and Keras
-
Mastering Python Design Patterns. A guide to creating smart, efficient, and reusable software - Second Edition
-
Artificial Intelligence for Robotics. Build intelligent robots that perform human tasks using AI techniques
-
Machine Learning Algorithms. Popular algorithms for data science and machine learning - Second Edition
-
Hands-On Convolutional Neural Networks with TensorFlow. Solve computer vision problems with modeling in TensorFlow and Python
-
R Deep Learning Essentials. A step-by-step guide to building deep learning models using TensorFlow, Keras, and MXNet - Second Edition
-
Blockchain Quick Reference. A guide to exploring decentralized blockchain application development
-
Building Machine Learning Systems with Python. Explore machine learning and deep learning techniques for building intelligent systems using scikit-learn and TensorFlow - Third Edition
-
Hands-On Intelligent Agents with OpenAI Gym. Your guide to developing AI agents using deep reinforcement learning
-
Healthcare Analytics Made Simple. Techniques in healthcare computing using machine learning and Python
-
Mastering Kibana 6.x. Visualize your Elastic Stack data with histograms, maps, charts, and graphs
-
Python Artificial Intelligence Projects for Beginners. Get up and running with Artificial Intelligence using 8 smart and exciting AI applications
-
Microsoft Power BI Quick Start Guide. Build dashboards and visualizations to make your data come to life
-
Deep Learning. Praktyczne wprowadzenie
-
Hands-On Natural Language Processing with Python. A practical guide to applying deep learning architectures to your NLP applications
-
Apache Spark Deep Learning Cookbook. Over 80 best practice recipes for the distributed training and deployment of neural networks using Keras and TensorFlow
-
Getting Started with Kudu. Perform Fast Analytics on Fast Data
-
Hands-On Computer Vision with Julia. Build complex applications with advanced Julia packages for image processing, neural networks, and Artificial Intelligence
-
Hands-On Data Analysis with NumPy and Pandas. Implement Python packages from data manipulation to processing
-
Natural Language Processing and Computational Linguistics. A practical guide to text analysis with Python, Gensim, spaCy, and Keras
-
PySpark Cookbook. Over 60 recipes for implementing big data processing and analytics using Apache Spark and Python
-
Hands-On Cybersecurity with Blockchain. Implement DDoS protection, PKI-based identity, 2FA, and DNS security using Blockchain
-
Hands-On Reinforcement Learning with Python. Master reinforcement and deep reinforcement learning using OpenAI Gym and TensorFlow
-
Machine Learning with Core ML. An iOS developer's guide to implementing machine learning in mobile apps
-
Big Data Architect's Handbook. A guide to building proficiency in tools and systems used by leading big data experts
-
Hands-On Blockchain with Hyperledger. Building decentralized applications with Hyperledger Fabric and Composer
-
Deep Learning Cookbook. Practical Recipes to Get Started Quickly
-
Visualizing Streaming Data. Interactive Analysis Beyond Static Limits
-
Artificial Intelligence By Example. Develop machine intelligence from scratch using real artificial intelligence use cases
-
Beginning Swift. Master the fundamentals of programming in Swift 4
-
Big Data Analytics with Hadoop 3. Build highly effective analytics solutions to gain valuable insight into your big data
-
Hands-On Data Science with Anaconda. Utilize the right mix of tools to create high-performance data science applications
-
Hands-On Data Warehousing with Azure Data Factory. ETL techniques to load and transform data from various sources, both on-premises and on cloud
-
Implementing Oracle API Platform Cloud Service. Design, deploy, and manage your APIs in Oracle’s new API Platform
-
Natural Language Processing with TensorFlow. Teach language to machines using Python's deep learning library
-
SAS for Finance. Forecasting and data analysis techniques with real-world examples to build powerful financial models
-
Splunk Operational Intelligence Cookbook. Over 80 recipes for transforming your data into business-critical insights using Splunk - Third Edition
-
Mastering Machine Learning Algorithms. Expert techniques to implement popular machine learning algorithms and fine-tune your models
-
Artificial Intelligence for Big Data. Complete guide to automating Big Data solutions using Artificial Intelligence techniques
-
Hands-On Machine Learning on Google Cloud Platform. Implementing smart and efficient analytics using Cloud ML Engine
-
Mastering Geospatial Analysis with Python. Explore GIS processing and learn to work with GeoDjango, CARTOframes and MapboxGL-Jupyter
-
Hands-On Automated Machine Learning. A beginner's guide to building automated machine learning systems using AutoML and Python
-
Reinforcement Learning with TensorFlow. A beginner's guide to designing self-learning systems with TensorFlow and OpenAI Gym
-
Solidity Programming Essentials. A beginner's guide to build smart contracts for Ethereum and blockchain
-
Microsoft Excel 2013. Analiza i modelowanie danych biznesowych
-
Cloud Analytics with Google Cloud Platform. An end-to-end guide to processing and analyzing big data using Google Cloud Platform
-
Practical Tableau. 100 Tips, Tutorials, and Strategies from a Tableau Zen Master
-
Modern Big Data Processing with Hadoop. Expert techniques for architecting end-to-end big data solutions to get valuable insights
-
Implementing Splunk 7. Effective operational intelligence to transform machine-generated data into valuable business insight - Third Edition
-
Seven NoSQL Databases in a Week. Get up and running with the fundamentals and functionalities of seven of the most popular NoSQL databases
-
Splunk 7 Essentials. Demystify machine data by leveraging datasets, building reports, and sharing powerful insights - Third Edition
-
TensorFlow Deep Learning Projects. 10 real-world projects on computer vision, machine translation, chatbots, and reinforcement learning
-
Learning AWK Programming. A fast, and simple cutting-edge utility for text-processing on the Unix-like environment
-
Feature Engineering for Machine Learning. Principles and Techniques for Data Scientists
-
Mapping with ArcGIS Pro. Design accurate and user-friendly maps to share the story of your data
-
Introduction to Machine Learning with R. Rigorous Mathematical Analysis
-
TensorFlow for Deep Learning. From Linear Regression to Reinforcement Learning
-
Deep Learning By Example. A hands-on guide to implementing advanced machine learning algorithms and neural networks
-
Machine Learning with Swift. Artificial Intelligence for iOS
-
Building Smart Drones with ESP8266 and Arduino. Build exciting drones by leveraging the capabilities of Arduino and ESP8266
-
Fixing Bad UX Designs. Master proven approaches, tools, and techniques to make your user experience great again
-
Practical Convolutional Neural Networks. Implement advanced deep learning models using Python
-
SQL Server 2017 Machine Learning Services with R. Data exploration, modeling, and advanced analytics
-
Deep Learning with PyTorch. A practical approach to building neural network models using PyTorch
-
Mastering Apache Solr 7.x. An expert guide to advancing, optimizing, and scaling your enterprise search
-
MySQL 8 Administrator's Guide. Effective guide to administering high-performance MySQL 8 solutions
-
Teradata Cookbook. Over 85 recipes to implement efficient data warehousing solutions
-
Spark: The Definitive Guide. Big Data Processing Made Simple
-
IPython Interactive Computing and Visualization Cookbook. Over 100 hands-on recipes to sharpen your skills in high-performance numerical computing and data science in the Jupyter Notebook - Second Edition
-
Mastering PostgreSQL 10. Expert techniques on PostgreSQL 10 development and administration
-
Regression Analysis with R. Design and develop statistical nodes to identify unique relationships within data at scale
-
Deep Learning for Computer Vision. Expert techniques to train advanced neural networks using TensorFlow and Keras
-
Feature Engineering Made Easy. Identify unique features from your dataset in order to build powerful machine learning systems
-
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
-
Practical Big Data Analytics. Hands-on techniques to implement enterprise analytics and machine learning using Hadoop, Spark, NoSQL and R
-
Cacti Beginner's Guide. Leverage Cacti to design a robust network operations center - Second Edition
-
Qlik Sense: Advanced Data Visualization for Your Organization. Create smart data visualizations and predictive analytics solutions
-
IBM SPSS Modeler Essentials. Effective techniques for building powerful data mining and predictive analytics solutions
-
Apache Kafka 1.0 Cookbook. Over 100 practical recipes on using distributed enterprise messaging to handle real-time data
-
Blender 3D Printing by Example. Learn to use Blender's modeling tools for 3D printing by creating 4 projects
-
Learning Elastic Stack 6.0. A beginner’s guide to distributed search, analytics, and visualization using Elasticsearch, Logstash and Kibana
-
Learning Google BigQuery. A beginner's guide to mining massive datasets through interactive analysis
-
Making Data Visual. A Practical Guide to Using Visualization for Insight
-
SciPy Recipes. A cookbook with over 110 proven recipes for performing mathematical and scientific computations
-
Learning PostgreSQL 10. A beginner’s guide to building high-performance PostgreSQL database solutions - Second Edition
-
Microsoft Excel 2016 Analiza i modelowanie danych biznesowych
-
Stream Analytics with Microsoft Azure. Real-time data processing for quick insights using Azure Stream Analytics
-
Learning Apache Apex. Real-time streaming applications with Apex
-
ROS Robotics By Example. Learning to control wheeled, limbed, and flying robots using ROS Kinetic Kame - Second Edition
-
Python. Uczenie maszynowe
-
Machine Learning with TensorFlow 1.x. Second generation machine learning with Google's brainchild - TensorFlow 1.x
-
Mastering MongoDB 3.x. An expert's guide to building fault-tolerant MongoDB applications
-
R Data Analysis Projects. Build end to end analytics systems to get deeper insights from your data
-
Statistics for Data Science. Leverage the power of statistics for Data Analysis, Classification, Regression, Machine Learning, and Neural Networks
-
Practical Data Wrangling. Expert techniques for transforming your raw data into a valuable source for analytics
-
Neural Network Programming with Tensorflow. Unleash the power of TensorFlow to train efficient neural networks
-
Dane i Goliat. Ukryta bitwa o Twoje dane i kontrolę nad światem