- Data Structures and Algorithms for Big Databases
- Data Warehousing Using the Wal-Mart Model
- Effective SQL: 61 Specific Ways to Write Better SQL
- Head First Data Analysis
- Mathematical Models for Remote Sensing Image Processing Models and Methods for the Analysis of 2D Satellite and Aerial Images
- Monetizing Machine Learning: Quickly Turn Python ML Ideas into Web Applications on the Serverless Cloud
- Time Series Data Analysis Using EViews
- Machine Learning Models and Algorithms for Big Data Classification
- Agile Data Science 2.0: Building Full-Stack Data Analytics Applications with Spark
- AI in Marketing, Sales and Service: How Marketers without a Data Science Degree can use AI, Big Data and Bots
- Applied Biostatistical Principles and Concepts
- Bayesian Data Analysis
- Big Data: A Business and Legal Guide
- Big Data: Using Smart Big Data, Analytics and Metrics to Make Better Decisions and Improve Performance
- Big Data Demystified: How to Use Big Data, Data Science and AI to Make Better Business Decisions and Gain Competitive Advantage
- Big Data, Mining, and Analytics Components of Strategic Decision Making
- Big-Data Analytics and Cloud Computing
- Community and Quality of Life. Data Needs for Informed Decision Making
- Data Analysis and Approximate Models: Model Choice, Location-Scale, Analysis of Variance, Nonparametric Regression and Image Analysis
- Data Analysis: A Model Comparison Approach to Regression, ANOVA, and Beyond
- Data Analytics in Football
- Data Analytics with Hadoop: An Introduction for Data Scientists
- Data Analytics Models and Algorithms for Intelligent Data Analysis
- Data Mining for Business Analytics: Concepts, Techniques and Applications in R
- Data Model Patterns: A Metadata Map
- Data Model Scorecard: Applying the Industry Standard on Data Model Quality
- Data Modeling Essentials
- Data Modeling for MongoDB: Building Well-Designed and Supportable MongoDB Databases
- Data Modeling Techniques for Data Warehousing
- Data Science Algorithms in a Week
- Data Science For Dummies
- Data Science from Scratch
- Data Structures And Algorithms Made Easy
- Data Communication and Computer Network Tutorial
- Data Structures and Problem Solving Using Java
- Database Design for Smarties: Using UML for Data Modeling
- Database Modeling and Design: Logical Design
- Data-driven Modelling of Structured Populations
- Enabling Things to Talk: Designing IoT solutions with the IoT Architectural Reference Model
- Fact Oriented Modeling with FCO-IM: Capturing Business Semantics in Data Models with Fully Communication Oriented Information Modeling
- Data Mining: Concepts,Models and Techniques
- From Big Data to Big Profits: Success with Data and Analytics
- Fuzzy Modeling and Genetic Algorithms or Data Mining and Exploration
- Hadoop: Data Processing and Modelling
- Healthcare Analytics: From Data to Knowledge to Healthcare Improvement
- Introduction to Machine Learning
- Learn Keras for Deep Neural Networks: A Fast-Track Approach to Modern Deep Learning with Python
- Mastering TensorFlow 1.x
- Natural Language Processing Recipes: Unlocking Text Data with Machine Learning and Deep Learning using Python
- NoSQL and SQL Data Modeling: Bringing Together Data, Semantics, and Software
- Object-Role Modeling Workbook: Data Modeling Exercises using ORM and NORMA
- Practical Computer Vision Applications Using Deep Learning with CNNs: With Detailed Examples in Python Using TensorFlow and Kivy
- Practical Statistics for Data Scientists: 50 Essential Concepts
- Predictive Analytics
- Principles of Data Structures Using C and C++
- Quantitative Trading: Algorithms, Analytics, Data, Models, Optimization
- Regression Models for Data Science in R
- Regression: Models, Methods and Applications
- Scala for Machine Learning
- Sports Analytics and Data Science: Winning the Game with Methods and Models
- Statistical and Machine-Learning Data Mining
- Sams Teach Yourself Data Structures and Algorithms in 24 Hours
- The Art of Data Science: A Guide for Anyone Who Works with Data
- The Data Industry: The Business and Economics of Information and Big Data
- The Data Model Resource Book
- The Digital Transformation Playbook: Rethink Your Business for the Digital Age
- The Enterprise Big Data Lake: Delivering the Promise of Big Data and Data Science
- The Essentials of Data Science: Knowledge Discovery Using R
- The Functional Approach to Data Management
- The Model Thinker: What You Need to Know to Make Data Work for You
- Think Like a Data Scientist: Tackle the data science process step-by-step
- What to Do When Machines Do Everything: How to Get Ahead in a World of Ai, Algorithms, Bots, and Big Data
- 500 Data Science Interview Questions and Answers
- An Introduction to Data: Everything You Need to Know About AI, Big Data and Data Science
- Big Data: A Revolution That Will Transform How We Live, Work, and Think
- Cloud Computing: Technologies and Strategies of the Ubiquitous Data Center
- Data Driven: Harnessing Data and AI to Reinvent Customer Engagement
- Managing Data in Motion: Data Integration Best Practice Techniques and Technologies
- Mining the Social Web: Data Mining Facebook, Twitter, LinkedIn, Instagram, GitHub, and More
- Practical Web Scraping for Data Science: Best Practices and Examples with Python
- Seven Databases in Seven Weeks
- The SAGE Handbook of Qualitative Data Collection
- The Sales Acceleration Formula: Using Data, Technology, and Inbound Selling to go from $0 to $100 Million
- The Little Data Book on Information and Communication Technology 2018
- Computer and Machine Vision: Theory, Algorithms, Practicalities
- How to Think About Algorithms
- Algorithms For Dummies
- Algorithms Illuminated (Part 2): Graph Algorithms and Data Structures
- grokking algorithms
- Introduction to Algorithms
- Introduction to Genetic Algorithms
- Analysis of Algorithms: An Active Learning Approach
- Machine Learning For Absolute Beginners
- Kernel Methods and Machine Learning
- Machine Learning: An Algorithmic Perspective
- The art of computer programming, volume 2: seminumerical algorithms
- Discrete and Continuous Fourier Transforms: Analysis, Applications and Fast Algorithms
- The Hundred-Page Machine Learning Book
- Algorithms for Data Science
- Master Machine Learning Algorithms: Discover How They Work and Implement Them From Scratch
- The Deep Learning Revolution
- Database Design for Mere Mortals
- Databases demystified
- Hands-on Database: An Introduction to Database Design and Development
- Data Science and Analytics for Ordinary People
- The Data Science Handbook
- Data Science for Business
- Doing Data Science
- AI for Data science
- Applied Deep Learning: A Case-Based Approach to Understanding Deep Neural Networks
- Artificial Neural Networks: A Practical Course
- Artificial Neural Networks in Real-life Applications
- Comprehensive Mathematics for Computer Scientists 2: Calculus and ODEs, Splines, Probability, Fourier andWavelet Theory, Fractals and Neural Networks, Categories and Lambda Calculus
- Computational Intelligence and Its Applications: Evolutionary Computation, Fuzzy Logic, Neural Network and Support Vector Machine Techniques
- Computer Science, Robotics, Artificial Intelligence, Neural Networks, IT, Mobiles
- Deep Learning and Convolutional Neural Networks for Medical Image Computing
- Deep Learning: Practical Neural Networks with Java
- Neural Networks and Learning Machines
- Elements of Artificial Neural Networks
- Evolutionary computation
- FPGA Implementations of Neural Networks
- Intelligent Optimisation Techniques: Genetic Algorithms, Tabu Search, Simulated Annealing and Neural Networks
- Introduction to the math of neural networks
- Neural Networks − A Visual Introduction For Beginners
- Neural Modeling and Neural Networks
- Neural Network Applications
- Neural network dynamics
- Neural Network Programming with Java
- Neural Networks and Deep Learning: A Textbook
- Neural Networks for Applied Sciences and Engineering
- Neural Networks with R
- 3D Computer Vision: Efficient Methods and Applications
- Neural-Based Orthogonal Data Fitting: The EXIN Neural Networks
- New Directions in Neural Networks
- Recent Advances of Neural Network Models and Applications
- TensorFlow in 1 Day: Make your own Neural Network
- Theory and Applications of Neural Networks
- Unsupervised Deep Learning in Python
- Arduino Computer Vision Programming
- Computer Graphics, Visualization, Computer Vision and Image Processing
- Computer and Machine Vision: Theory, Algorithms, Practicalities
- Computer Vision and Applications: A Guide for Students and Practitioners
- Computer Vision Metrics: Survey, Taxonomy and Analysis of Computer Vision, Visual Neuroscience, and Deep Learning
- Computer Vision: A Modern Approach
- Computer Vision: Models, Learning, and Inference
- Foundations of Computer Vision: Computational Geometry, Visual Image Structures and Object Shape Detection
- Handbook of Geometric Computing
- Natural Image Statistics: A Probabilistic Approach to Early Computational Vision
- Practical Computer Vision Applications Using Deep Learning with CNNs
- Raspberry Pi Robotic Projects
- Recent Developments in Computer Vision
- Robust Computer Vision: Theory and Applications
- Computer Vision: Algorithms and Applications
- Multiple View Geometry in Computer Vision
- Integration of Natural Language and Vision Processing: Computational Models and Systems
- Interactive Curve Modeling: With Applications to Computer Graphics, Vision and Image Processing
- Numerical Algorithms
- Programming Computer Vision with Python
- Computer Vision and Machine Learning with RGB-D Sensors
- Advances in Embedded Computer Vision
- Computer Vision for Visual Effects
- Knowledge Transfer between Computer Vision and Text Mining
- Explainable and Interpretable Models in Computer Vision and Machine Learning
- Concise Computer Vision: An Introduction into Theory and Algorithms
- Database System Concepts
- Databases for Small Business: Essentials of Database Management, Data Analysis, and Staff Training for Entrepreneurs and Professionals
- Database Management System Tutorial
- Distributed Database Management Systems: A Practical Approach
- Database management systems
- Advanced Data Warehouse Design
- Dark Web: Exploring and Data Mining the Dark Side of the Web
- Data Mining with Rattle and R
- Data Preparation for Data Mining
- Data-Driven Marketing: The 15 Metrics Everyone in Marketing Should Know
- Frontiers in Massive Data Analysis
- Making Sense of Data I
- Making Sense of Data II
- Mastering Data Warehouse Aggregates
- Mastering Data Warehouse Design: Relational and Dimensional Techniques
- The Data Warehouse Lifecycle Toolkit
- Building the Data Warehouse