Developing AI and Machine Learning Solutions with Java Training
Developing AI and Machine Learning Solutions with Java Training
Training Developing AI and Machine Learning Solutions with Java - Online E-Learning Course. Order and start immediately for the best price.
Read more- Brand:
- Artificial Intelligence
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Developing AI and Machine Learning Solutions with Java E-Learning
Order this great E-Learning Training Developing AI and Machine Learning Solutions with Java online course 1 year 24/7 access to rich interactive videos, voice, practice assignments, progress monitoring through reports and tests per subject to test the knowledge directly. After the course you will receive a certificate of participation.
Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent systems used to help enterprises manage the increasing complexity of their business. This learning path covers the concept of AI including machine learning (ML), deep learning, and expert systems using Java libraries.
Course content
Developing AI and ML Solutions with Java: AI Fundamentals
Course: 1 Hour, 4 Minutes
- Development Environment for Artificial Intelligence
- Machine Learning with Java
- Artificial Intelligence Implementation Scenarios
- Deeplearning4J Introduction
- Configure Neural Network Using DL4J
- Domain Specific Implementation of AI
- Predictive Modeling
- Exercise: Working with ML Libraries
Developing AI and ML Solutions with Java: Machine Learning Implementation
Course: 1 Hour, 27 Minutes
- Machine Learning and Artificial Intelligence
- Machine Learning Algorithm Types
- Supervised and Unsupervised Learning
- K-Means Cluster
- KNN Algorithms
- Decision Tree and Random Forest
- Linear Regression Analysis
- Gradient Boosting Algorithms
- Logistics Regression
- Probabilistic Classifier
- Naïve Bayes Classifier
- Exercise: Implementing Machine Learning Algorithms
- Course Test
Developing AI and ML Solutions with Java: Neural Network and Neuroph Framework
Course: 1 Hour, 49 Minutes
- Neural Network and its Essential Components
- Implement a Simple Neural Network
- Neural Network Types
- Implementing Hopfield Neural Networks
- Implementing Back Propagation Neural Networks
- Role of Activation Function
- Loss Functions and their Benefits
- Implementing Activation Functions and Loss Functions
- Hyperparameter
- Neuroph Java Neural Framework Capabilities
- Hyperparameter Implementation using DL4J
- Deep Learning
- Comparing Deep Learning and Graph Models
- Combining Deep Learning and Graph Model1
- Deep Learning and Graph Model Use Cases
- Exercise: Working with Neuroph and Neural Networks
Developing AI and ML Solutions with Java: Neural Network and NLP Implementation
Course: 57 Minutes
- Multilayer Networks and Computation Graphs
- Implementing Multilayer Networks
- NLP Introduction
- Components of NLP
- Language and Sentence
- Tokenizer and Name Finder
- Detecting Parts of Speech
- Classifying Text and Documents
- Using Parser to Extract Relationships
- Speech Implementation
- Exercise: Working with NLP Components
Developing AI and ML Solutions with Java: Expert Systems and Reinforcement Learning
Course: 48 Minutes
- Expert Systems Tools
- Working with Jess
- Defining Rules
- Supervised Learning and Notations
- Datasets and Training Models
- Outlier Types
- Feature Search and Feature Evaluation Techniques
- Principal Component Analysis Data Transformation
- Clustering Concept
- Hierarchical Clustering
- Graph Modeling
- Exercise: Working with Datasets and Clustering
Language | English |
---|---|
Qualifications of the Instructor | Certified |
Course Format and Length | Teaching videos with subtitles, interactive elements and assignments and tests |
Lesson duration | 6:05 Hours |
Progress monitoring | Yes |
Access to Material | 365 days |
Technical Requirements | Computer or mobile device, Stable internet connections Web browsersuch as Chrome, Firefox, Safari or Edge. |
Support or Assistance | Helpdesk and online knowledge base 24/7 |
Certification | Certificate of participation in PDF format |
Price and costs | Course price at no extra cost |
Cancellation policy and money-back guarantee | We assess this on a case-by-case basis |
Award Winning E-learning | Yes |
Tip! | Provide a quiet learning environment, time and motivation, audio equipment such as headphones or speakers for audio, account information such as login details to access the e-learning platform. |
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"Fijne cursus, heel veel verschillende aspecten. Duidelijke uitleg"
Jesse on 16 May 2020
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Reviews
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"Fijne cursus, heel veel verschillende aspecten. Duidelijke uitleg"
Jesse on 16 May 2020