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 by topic to test your knowledge instantly.
✔️ After the course, you will receive a certificate of participation.
Why choose this course?
Artificial Intelligence (AI) and Machine Learning (ML) are fast-growing fields that are increasingly influencing the way businesses operate. From automation to data analysis, AI and ML enable companies to manage the complexity of business processes and make better decisions.
In this course, you will learn how to develop AI and ML solutions using Java, one of the most popular programming languages for building powerful machine learning models and systems. Using Java libraries and tools, you will gain a deep understanding of the theory behind AI, machine learning, and deep learning, and learn how to apply these concepts in real business scenarios.
What you will learn:
- Introduction to Artificial Intelligence and Machine Learning: Understand the basics of AI and ML, including the different types of algorithms and their applications.
- Deep Learning and Expert Systems: Learn how to build deep learning models and implement expert systems using Java.
- Java libraries for AI and ML: Discover the power of popular Java libraries such as Deeplearning4j, Weka, and MOA for developing AI solutions.
- Practical applications of AI in business: Learn how to develop AI solutions that increase business productivity, from predictive analytics to natural language processing (NLP).
- Evaluating and improving models: Develop skills in testing, improving and implementing AI and ML models in different environments.
Who should participate?
This course is ideal for:
- Software developers looking to expand their skills with artificial intelligence and machine learning in Java.
- Data scientists looking for hands-on experience in developing AI and ML solutions with Java.
- AI enthusiasts looking to deepen their knowledge and gain hands-on experience in building intelligent systems.
- Business experts interested in implementing AI solutions to optimise and automate business processes.
- IT professionals who want to learn AI integration for their applications and systems.
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
Get started with Developing AI and Machine Learning Solutions with Java!
✔️ Learn at your own pace with rich interactive videos, speech and practice assignments.
✔️ Test your knowledge by topic with targeted tests and progress monitoring.
✔️ Get practical skills in developing AI and ML solutions with Java.
✔️ Get a certificate of attendance upon successful completion of the course.
Order your course now and start developing AI solutions for your business with Java!
