Search Results - Learning Algorithm

Pro Machine Learning Algorithms A Hands-On Approach to Implementing Algorithms in Python and R / by Ayyadevara, V Kishore

Table of Contents: “…Chapter 1: Basics of Machine Learning -- Chapter 2: Linear regression -- Chapter 3: Logistic regression -- Chapter 4: Decision tree -- Chapter 5: Random forest -- Chapter 6: GBM -- Chapter 7: Neural network -- Chapter 8: word2vec -- Chapter 9: Convolutional neural network -- Chapter 10: Recurrent Neural Network -- Chapter 11: Clustering -- Chapter 12: PCA -- Chapter 13: Recommender systems -- Chapter 14: Implementing algorithms in the cloud.…”

Dictionary Learning Algorithms and Applications by Dumitrescu, Bogdan

Table of Contents: “…Chapter1: Sparse representations -- Chapter2: Dictionary learning problem -- Chapter3: Standard algorithms -- Chapter4: Regularization and incoherence -- Chapter5: Other views on the DL problem -- Chapter6: Optimizing dictionary size -- Chapter7: Structured dictionaries -- Chapter8: Classification -- Chapter9: Kernel dictionary learning -- Chapter10: Cosparse representations.…”

GENETIC ALGORITHMS IN SEARCH, OPTIMISATION AND MACHINE LEARNING / by Goldberg, David E.

Adaptive blind signal and image processing. Learning algorithms and applications / by Cichocki, Andrzej

Iterative Learning Control with Passive Incomplete Information Algorithms Design and Convergence Analysis / by Shen, Dong

Structures and Algorithms Mathematics and the Nature of Knowledge / by Fenstad, Jens Erik

Applied Natural Language Processing with Python Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing / by Beysolow II, Taweh

Deep Learning : Research and Applications /

Table of Contents: “…1 Deep Learning - A State-of-the-Art Approach to Artificial Intelligence --…”

Reinforcement Learning With Open AI, TensorFlow and Keras Using Python / by Nandy, Abhishek

Table of Contents: “…Chapter 1: Reinforcement Learning basics -- Chapter 2: Theory and Algorithms -- Chapter 3: Open AI basics -- Chapter 4: Getting to know Open AI and Open AI Gym the developers way -- Chapter 5: Reinforcement learning using Tensor Flow environment and Keras -- Chapter 6 Google's DeepMind and the future of Reinforcement Learning.…”

Advanced Optimization by Nature-Inspired Algorithms

Table of Contents: “…Introduction -- Cat Swarm Optimization (CSO) Algorithm -- League Championship Algorithm (LCA) -- Anarchic Society Optimization (ASO) Algorithm -- Cuckoo Optimization Algorithm (COA) -- Teaching-Learning-Based Optimization (TLBO) Algorithm -- Flower pollination Algorithm (FPA) -- Krill Herd Algorithm (KHA) -- Grey Wolf Optimization (GWO) Algorithm -- Shark Smell Optimization (SSO) Algorithm -- Ant Lion Optimizer (ALO) Algorithm -- Gradient Evolution (GE) Algorithm -- Moth-Flame Optimization (MFO) Algorithm -- Crow Search Algorithm (CSA) -- Dragonfly Algorithm (DA).…”

Approximation Theory and Algorithms for Data Analysis by Iske, Armin

Adaptive Image Processing Algorithms for Printing by Safonov, Ilia V.

Deep Learning with Azure Building and Deploying Artificial Intelligence Solutions on the Microsoft AI Platform / by Salvaris, Mathew

Applied Deep Learning A Case-Based Approach to Understanding Deep Neural Networks / by Michelucci, Umberto

Dynamic Fuzzy Machine Learning / by Li, Fanzhang, Zhang, Li, Zhang, Zhao

Table of Contents: “…Dynamic fuzzy autonomic learning subspace algorithm --…”

Practical Java Machine Learning Projects with Google Cloud Platform and Amazon Web Services / by Wickham, Mark

Table of Contents: “…Data: The Fuel for Machine Learning -- 3. Leveraging Cloud Platforms -- 4. Algorithms: The Brains of Machine Learning -- 5. …”

Supervised Learning with Quantum Computers by Schuld, Maria

Table of Contents: “…Introduction -- Background -- How quantum computers can classify data -- Organisation of the book -- Machine Learning -- Prediction -- Models -- Training -- Methods in machine learning -- Quantum Information -- Introduction to quantum theory -- Introduction to quantum computing -- An example: The Deutsch-Josza algorithm -- Strategies of information encoding -- Important quantum routines -- Quantum advantages -- Computational complexity of learning -- Sample complexity -- Model complexity -- Information encoding -- Basis encoding -- Amplitude encoding -- Qsample encoding -- Hamiltonian encoding -- Quantum computing for inference -- Linear models -- Kernel methods -- Probabilistic models -- Quantum computing for training -- Quantum blas -- Search and amplitude amplification -- Hybrid training for variational algorithms -- Quantum adiabatic machine learning -- Learning with quantum models -- Quantum extensions of Ising-type models -- Variational classifiers and neural networks -- Other approaches to build quantum models -- Prospects for near-term quantum machine learning -- Small versus big data -- Hybrid versus fully coherent approaches -- Qualitative versus quantitative advantages -- What machine learning can do for quantum computing -- References.…”

Deep learning for personalized healthcare services /

Table of Contents: “…Prediction of multiclass cervical cancer using deep machine learning algorithms in healthcare services --…”

Challenges and Solutions in Smart Learning Proceeding of 2018 International Conference on Smart Learning Environments, Beijing, China /

Table of Contents: “…A Gamified Approach to Automated Assessment of Programming Assignments -- A Smart Learning Environment for Environmental Education -- An interdisciplinary Framework for Designing Smart Learning Environments -- Application Development on Tablet to Promote a Classroom Research Skills for SSRU' Students -- Constructing a Smart Chinese International Learning Environment Based on Learning Analytics Technology -- Effects of Reciprocal Feedback on EFL Learners' Communication Strategy Use and Oral Communicative Performance -- Exploring General Morphological Analysis and Providing Personalized Recommendations to Stimulate Creativity with ReaderBench -- Higher Cognitive Items Generation Algorithms -- Innovative Maker Movement Platform for K-12 Education as a Smart Learning Environment -- Smart Interactions for the Quantified Self -- Smart watches for making EFL learning effective, healthy, and happy -- StudentViz: A Tool for Visualizing Students' Collaborations in a Social Learning Environment -- The Edutainment Platform: Interactive Storytelling Relying on Semantic Similarity -- The effects of student interaction with blog-based course content on learning performance -- The Objective Ear: Assessing the Progress of a Music Task -- Visualizing and Understanding Information literacy Research Based on the CiteSpaceV -- Open Research and Observational Study for 21st Century Learning -- An educational role-playing game for modeling the learner's personality -- Annotation Recommendation for Online Reading Activities -- Big Data Analytics and Smart Service Tool: "Smart Learning Partner" Platform.…”

Learn Computer Science with Swift Computation Concepts, Programming Paradigms, Data Management, and Modern Component Architectures with Swift and Playgrounds / by Feiler, Jesse