Addison-Wesley - Machine Learning With Python For Everyone [Rough Cuts] (2019 EN)
Apress - Advanced Applied Deep Learning: Convolutional Neural Networks And Object Detection (2019 EN)
Apress - Advanced Data Analytics Using Python: With Machine Learning, Deep Learning And NLP Examples (2018 EN)
Apress - Advanced Forecasting With Python: With State-Of-The-Art-Models Including LSTMs, Facebook's Prophet, And Amazon's DeepAR (2021 EN)
Apress - Agile Machine Learning: Effective Machine Learning Inspired By The Agile Manifesto (2019 EN)
Apress - Applied Data Science Using PySpark: Learn The End-To-End Predictive Model-Building Cycle (2021 EN)
Apress - Applied Deep Learning: A Case-Based Approach To Understanding Deep Neural Networks (2018 EN)
Apress - Applied Generative AI For Beginners: Practical Knowledge On Diffusion Models, ChatGPT, And Other LLMs (2023 EN)
Apress - Applied Machine Learning For Health And Fitness: A Practical Guide To Machine Learning With Deep Vision, Sensors And IoT (2020 EN)
Apress - Applied Neural Networks With TensorFlow 2: API Oriented Deep Learning With Python (2021 EN)
Apress - Applied Reinforcement Learning With Python: With OpenAI Gym, Tensorflow, And Keras (2019 EN)
Apress - Artificial Intelligence Basics: A Non-Technical Introduction (2019 EN)
Apress - Artificial Neural Networks With Java (2019 EN)
Apress - Artificial Neural Networks With TensorFlow 2: ANN Architecture Machine Learning Projects (2021 EN)
Apress - Beginning Anomaly Detection Using Python-Based Deep Learning, 2nd Edition (2024 EN)
Apress - Beginning Azure Cognitive Services: Data-Driven Decision Making Through Artificial Intelligence (2021 EN)
Apress - Beginning MLOps With MLFlow: Deploy Models In AWS SageMaker, Google Cloud, And Microsoft Azure (2021 EN)
Apress - Building Computer Vision Applications Using Artificial Neural Networks: With Step-By-Step Examples In OpenCV And TensorFlow With Python (2020 EN)
Apress - Building Intelligent Systems: A Guide To Machine Learning Engineering (2018 EN)
Apress - Building Machine Learning And Deep Learning Models On Google Cloud Platform: A Comprehensive Guide For Beginners (2019 EN)
Apress - ChatGPT And Bard For Business Automation: Achieving AI-Driven Growth (2023 EN)
Apress - ChatGPT For Beginners: Features, Foundations, And Applications (2023 EN)
Apress - Cognitive Computing Recipes: Artificial Intelligence Solutions Using Microsoft Cognitive Services And TensorFlow (2019 EN)
Apress - Computer Vision Using Deep Learning: Neural Network Architectures With Python And Keras (2021 EN)
Apress - Convolutional Neural Networks With Swift For Tensorflow: Image Recognition And Dataset Categorization (2021 EN)
Apress - Data Science Revealed: With Feature Engineering, Data Visualization, Pipeline Development, And Hyperparameter Tuning (2021 EN)
Apress - Deep Learning On Windows: Building Deep Learning Computer Vision Systems On Microsoft Windows (2021 EN)
Apress - Deep Learning Projects Using TensorFlow 2: Neural Network Development With Python And Keras (2020 EN)
Apress - Deep Learning With Python: A Hands-on Introduction (2017 EN)
Apress - Deep Learning With Python: Learn Best Practices Of Deep Learning Models With PyTorch, 2nd Edition (2021 EN)
Apress - Deploy Machine Learning Models To Production: With Flask, Streamlit, Docker, And Kubernetes On Google Cloud Platform (2021 EN)
Apress - Deploying AI In The Enterprise: IT Approaches For Design, DevOps, Governance, Change Management, Blockchain, And Quantum Computing (2020 EN)
Apress - Generating A New Reality: From Autoencoders And Adversarial Networks To Deepfakes (2021 EN)
Apress - Hands-On Machine Learning With Python: Implement Neural Network Solutions With Scikit-Learn And PyTorch (2022 EN)
Apress - Hands-On Question Answering Systems Wth BERT: Applications In Neural Networks And Natural Language Processing (2021 EN)
Apress - Hands-On Time Series Analysis With Python: From Basics To Bleeding Edge Techniques (2020 EN)
Apress - Hyperparameter Optimization In Machine Learning: Make Your Machine Learning And Deep Learning Models More Efficient (2021 EN)
Apress - Implementing AI Systems: Transform Your Business In 6 Steps (2021 EN)
Apress - Implementing Machine Learning For Finance: A Systematic Approach To Predictive Risk And Performance Analysis For Investment Portfolios (2021 EN)
Apress - Learn Computer Vision Using OpenCV: With Deep Learning CNNs And RNNs (2019 EN)
Apress - Learn Keras For Deep Neural Networks: A Fast-Track Approach To Modern Deep Learning With Python (2019 EN)
Apress - Machine Learning And AI For Healthcare: Big Data For Improved Health Outcomes, 2nd Edition (2021 EN)
Apress - Machine Learning Concepts With Python And The Jupyter Notebook Environment: Using Tensorflow 2.0 (2020 EN)
Apress - Machine Learning For Oracle Database Professionals: Deploying Model-Driven Applications And Automation Pipelines (2021 EN)
Apress - Machine Learning In The Oil And Gas Industry: Including Geosciences, Reservoir Engineering, And Production Engineering With Python (2020 EN)
Apress - Machine Learning With Microsoft Technologies: Selecting The Right Architecture And Tools For Your Project (2019 EN)
Apress - Machine Learning With PySpark: With Natural Language Processing And Recommender Systems (2019 EN)
Apress - Mastering Machine Learning With Python In Six Steps: A Practical Implementation Guide To Predictive Data Analytics Using Python, 2nd Edition (2019 EN)
Apress - MATLAB Deep Learning (2017 EN)
Apress - MATLAB Machine Learning (2017 EN)
Apress - MATLAB Machine Learning Recipes: A Problem-Solution Approach, 2nd Edition (2019 EN)
Apress - Microsoft Conversational AI Platform For Developers: End-To-End Chatbot Development From Planning To Deployment (2021 EN)
Apress - ML.NET Revealed: Simple Tools For Applying Machine Learning To Your Applications (2021 EN)
Apress - Natural Language Processing Recipes: Unlocking Text Data With Machine Learning And Deep Learning Using Python, 2nd Edition (2021 EN)
Apress - Neural Networks In Unity: C# Programming For Windows 10 (2018 EN)
Apress - Numerical Python: Scientific Computing And Data Science Applications With Numpy, SciPy And Matplotlib, 2nd Edition (2019 EN)
Apress - Oracle Business Intelligence With Machine Learning: Artificial Intelligence Techniques In OBIEE For Actionable BI (2018 EN)
Apress - Practical Machine Learning And Image Processing: For Facial Recognition, Object Detection, And Pattern Recognition Using Python (2019 EN)
Apress - Practical Machine Learning For Streaming Data With Python: Design, Develop, And Validate Online Learning Models (2021 EN)
Apress - Practical Machine Learning In JavaScript: TensorFlow.js For Web Developers (2021 EN)
Apress - Practical Machine Learning With AWS: Process, Build, Deploy, And Productionize Your Models Using AWS (2021 EN)
Apress - Practical Machine Learning With Rust: Creating Intelligent Applications In Rust (2020 EN)
Apress - Practical Natural Language Processing With Python: With Case Studies From Industries Using Text Data At Scale (2021 EN)
Apress - Practical Python AI Projects: Mathematical Models Of Optimization Problems With Google OR-Tools (2018 EN)
Apress - Practical TensorFlow.js: Deep Learning In Web App Development (2020 EN)
Apress - Robotic Process Automation Using UiPath StudioX: A Citizen Developer's Guide To Hyperautomation (2021 EN)
Apress - Self-Service AI With Power BI Desktop: Machine Learning Insights For Business (2020 EN)
Apress - State-Of-The-Art Deep Learning Models In TensorFlow: Modern Machine Learning In The Google Colab Ecosystem (2021 EN)
Apress - Supervised Learning With Python: Concepts And Practical Implementation Using Python (2020 EN)
Apress - TensorFlow 2.x In The Colaboratory Cloud: An Introduction To Deep Learning On Google's Cloud Service (2021 EN)
Apress - Text Analytics With Python: A Practical Real-World Approach To Gaining Actionable Insights From Your Data (2016 EN)
Apress - Text Analytics With Python: A Practitioner's Guide to Natural Language Processing, 2nd Edition (2019 EN)
Apress - Transactional Machine Learning With Data Streams And AutoML: Build Frictionless And Elastic Machine Learning Solutions With Apache Kafka In The Cloud Using Python (2021 EN)
Apress - Understanding Large Language Models: Learning Their Underlying Concepts And Technologies (2023 EN)
Apress - Veracity Of Big Data: Machine Learning And Other Approaches To Verifying Truthfulness (2018 EN)
Birkhäuser - Autonomic Road Transport Support Systems (2016 EN)
BPB Publications - Applied Deep Learning: Design And Implement Your Own Neural Networks To Solve Real-World Problems (2023 EN)
BPB Publications - Implement NLP Use-Cases Using BERT (2021 EN)
BPB Publications - Pragmatic Machine Learning With Python (2021 EN)
Cambridge University Press - Algorithmic Aspects Of Machine Learning (2018 EN)
Cambridge University Press - Transfer Learning (2020 EN)
CRC Press - Applied Intelligent Decision Making In Machine Learning (2021 EN)
CRC Press - COVID-19: Origin, Detection And Impact Analysis Using Artificial Intelligence Computational Techniques (2022 EN)
CRC Press - Deep Learning In Computer Vision: Principles And Applications (2020 EN)
CRC Press - Hands-On Machine Learning With R (2020 EN)
CRC Press - New Directions In Behavioral Biometrics (2017 EN)
CRC Press - What AI Can Do: Strengths And Limitations Of Artificial Intelligence (2024 EN)
IGI Global - Advanced Deep Learning Applications In Big Data Analytics (2021 EN)
IGI Global - Applications Of Artificial Neural Networks For Nonlinear Data (2021 EN)
IGI Global - Machine Learning Algorithms Using Scikit And TensorFlow Environments (2024 EN)
Manning Publications - Bayesian Optimization In Action (2023 EN)
Manning Publications - Deep Learning For Vision Systems (2020 EN)
Manning Publications - Deep Learning With PyTorch: Build, Train, And Tune Neural Networks Using Python Tools (2020 EN)
Manning Publications - Deep Learning With Structured Data (2020 EN)
Manning Publications - Designing Deep Learning Systems: A Software Engineer's Guide (2023 EN)
Manning Publications - Distributed Machine Learning Patterns (2024 EN)
Manning Publications - Human-In-The-Loop Machine Learning: Active Learning And Annotation For Human-Centered AI (2021 EN)
Manning Publications - Natural Language Processing In Action: Understanding, Analyzing, And Generating Text With Python (2019 EN)
Manning Publications - Transfer Learning For Natural Language Processing (2021 EN)
No Starch Press - Practical Deep Learning: A Python-Based Introduction (2021 EN)
Notion Press - Big Data Analytics Made Easy (2016 EN)
O'Reilly - AI At The Edge: Solving Real-World Problems With Embedded Machine Learning (2023 EN)
O'Reilly - Building Machine Learning Pipelines: Automating Model Life Cycles With TensorFlow (2020 EN)
O'Reilly - Building Recommendation Systems In Python And Jax: Hands-On Production Systems At Scale (2024 EN)
O'Reilly - Hands-On Machine Learning With Scikit-Learn And TensorFlow (2017 EN)
O'Reilly - Practical Weak Supervision: Doing More With Less Data (2022 EN)
O'Reilly - TensorFlow 2 Pocket Reference: Building And Deploying Machine Learning Models (2021 EN)
Packt Publishing - Apache Spark Machine Learning Blueprints (2016 EN)
Packt Publishing - Big Data Analytics With R (2016 EN)
Packt Publishing - Building AI Applications With ChatGPT APIs (2023 EN)
Packt Publishing - Building Machine Learning Systems With Python, 3rd Edition (2018 EN)
Packt Publishing - Deep Learning For Beginners (2020 EN)
Packt Publishing - Deep Learning For Natural Language Processing (2019 EN)
Packt Publishing - Deep Learning With Keras (2017 EN)
Packt Publishing - Deep Learning With TensorFlow (2017 EN)
Packt Publishing - Generative AI With LangChain: Build Large Language Model (LLM) Appps With Python, ChatGPT, And Other LLMs (2023 EN)
Packt Publishing - Hands-On Machine Learning With C# (2018 EN)
Packt Publishing - Hands-On Natural Language Processing With PyTorch 1.x (2020 EN)
Packt Publishing - Hands-On Neural Networks (2019 EN)
Packt Publishing - Hands-On One-Shot Learning With Python: Learn To Implement Fast And Accurate Deep Learning Models With Fewer Training Samples Using PyTorch (2020 EN)
Packt Publishing - Hands-On Python Natural Language Processing (2020 EN)
Packt Publishing - Machine Learning For Data Mining: Improve Your Data Mining Capabilities With Advanced Predictive Modeling  (2019 EN)
Packt Publishing - Machine Learning For Emotion Analysis In Python (2023 EN)
Packt Publishing - Machine Learning With Go: Leverage Go's Powerful Packages To Build Smart Machine Learning And Predictive Applications, 2nd Edition (2019 EN)
Packt Publishing - Mastering Machine Learning Algorithms (2018 EN)
Packt Publishing - Mastering Python Data Analysis (2016 EN)
Packt Publishing - Neural Network Programming With Java, 2nd Edition (2017 EN)
Packt Publishing - Python Deep Learning Projects (2018 EN)
Packt Publishing - Python Deep Learning, 2nd Edition (2019 EN)
Packt Publishing - Python Machine Learning By Example: Build Intelligent Systems Using Python, TensorFlow 2, PyTorch, And Scikit-Learn, 3rd Edition (2020 EN)
Packt Publishing - Python Machine Learning Cookbook (2016 EN)
Packt Publishing - Python Natural Language Processing Cookbook: Over 50 Recipes To Understand, Analyze, And Generate Text For Implementing Language Processing Tasks (2021 EN)
Packt Publishing - PyTorch 1.x Reinforcement Learning Cookbook (2019 EN)
Packt Publishing - Practical Predictive Analytics (2017 EN)
Packt Publishing - Reinforcement Learning Algorithms With Python: Learn, Understand, And Develop Smart Algorithms For Addressing AI Challenges (2019 EN)
Packt Publishing - TensorFlow: Powerful Predictive Analytics With TensorFlow (2018 EN)
Packt Publishing - The AI Product Manager's Handbook (2023 EN)
Packt Publishing - The Machine Learning Workshop, 2nd Edition (2020 EN)
Pearson - Python For Programmers: With Big Data And Artificial Intelligence Case Studies (2019 EN)
Springer - Accelerated Optimization For Machine Learning: First-Order Algorithms (2020 EN)
Springer - Applying Data Science: How To Create Value With Artificial Intelligence (2020 EN)
Springer - Artificial Intelligence: A Textbook (2021 EN)
Springer - Artificial Neural Networks: A Practical Course (2017 EN)
Springer - Computational Intelligence: A Methodological Introduction, 2nd Edition (2016 EN)
Springer - Computational Methods For Deep Learning: Theoretic, Practice And Applications (2021 EN)
Springer - Data Mining And Constraint Programming: Foundations Of A Cross-Disciplinary Approach (2016 EN)
Springer - Data Science And Big Data: An Environment Of Computational Intelligence (2017 EN)
Springer - Deep Learning: Foundations And Concepts (2024 EN)
Springer - Edge AI: Convergence Of Edge Computing And Artificial Intelligence (2020 EN)
Springer - Emergent Computation: A Festschrift For Selim G. Akl (2017 EN)
Springer - Encyclopedia Of Machine Learning And Data Mining, 2nd Edition (2017 EN)
Springer - Exploring Image Binarization Techniques (2014 EN)
Springer - Foundations Of Computer Vision: Computational Geometry, Visual Image Structures And Object Shape Detection (2017 EN)
Springer - Handbook Of Digital Games And Entertainment Technologies (2017 EN)
Springer - Information-Driven Machine Learning: Data Science As An Engineering Discipline (2024 EN)
Springer - Intelligent Agents In Data-intensive Computing (2016 EN)
Springer - Intelligent Systems And Methods To Combat Covid-19 (2020 EN)
Springer - Introduction To Deep Learning: From Logical Calculus To Artificial Intelligence (2018 EN)
Springer - Machine Learning (2021 EN)
Springer - Machine Learning For Data Science Handbook: Data Mining And Knowledge Discovery Handbook, 3rd Edition (2023 EN)
Springer - Machine Learning Foundations: Supervised, Unsupervised, And Advanced Learning (2021 EN)
Springer - Multi-Objective Optimization Using Artificial Intelligence Techniques (2020 EN)
Springer - Neural Networks And Deep Learning: A Textbook, 2nd Edition (2023 EN)
Springer - Python For Probability, Statistics, And Machine Learning (2016 EN)
Springer - Playable Cities: The City As A Digital Playground (2017 EN)
Springer - Self-aware Computing Systems: An Engineering Approach (2016 EN)
Springer - Wisdom Web Of Things (2016 EN)
Wiley - Artificial Intelligence For Dummies (2018 EN)
Wiley - Enterprise AI For Dummies (2020 EN)
Wiley - Keras To Kubernetes: The Journey Of A Machine Learning Model To Production (2019 EN)
Wiley - Machine Learning For Dummies (2016 EN)
Wiley - Machine Learning With Spark And Python: Essential Techniques For Predictive Analytics, 2nd Edition (2020 EN)
Wiley - Practical Machine Learning In R (2020 EN)
Wiley - TensorFlow For Dummies (2018 EN)


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SPRI - Springer

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