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Python for Natural Language Generation Training Course
Overview Natural language generation (NLG) refers to the production of natural language text or speech by a computer. In this instructor-led, live training, participants will learn how to use Python to produce high-quality natural language text by building their own NLG system from scratch. Case studies will also be examined and the relevant concepts will […]
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Artificial Intelligence – the most applied stuff – Data Analysis + Distributed AI + NLP Training Course
Overview This course is aimed at developers and data scientists who wish to understand and implement AI within their applications. Special focus is given to Data Analysis, Distributed AI and NLP. Course Outline Distribution big data Data mining methods (training single systems + distributed prediction: traditional machine learning algorithms + Mapreduce distributed prediction) Apache Spark […]
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Artificial Intelligence for Mechatronics Training Course
Overview Mechatronics (a.k.a. mechatronic engineering) is a combination of mechanical, electronics and computer science. This instructor-led, live training (online or onsite) is aimed at engineers who wish to learn about the applicability of artificial intelligence to mechatronic systems. By the end of this training, participants will be able to: Gain an overview of artificial intelligence, […]
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Recommender Systems with Python Training Course
Overview A recommender system is an information filtering process that predicts the user’s preferences. Python can be used to program deep learning, machine learning, and neural network recommender systems to help users discover new products and content. This instructor-led, live training (online or onsite) is aimed at data scientists who wish to use Python to […]
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OpenAI Gym Training Course
Overview OpenAI Gym is an open-source interface used to create, develop, and compare reinforcement learning (RL) tasks and algorithms. Gym provides a wide set of environment libraries to run reinforcement learning tasks with ease. This instructor-led, live training (online or onsite) is aimed at researchers and developers who wish to install, configure, customize, and implement […]
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Fundamentals of Reinforcement Learning Training Course
Overview Reinforcement Learning (RL) is a machine learning technique in which a computer program (agent) learns to behave in an environment by performing the actions and receiving feedback on the results of the actions. For each good action, the agent receives positive feedback, and for each bad action, the agent receives negative feedback (penalty). This […]
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Reinforcement Learning with Java Training Course
Overview Reinforcement Learning (RL) is an area of AI (Artificial Intelligence) used to build autonomous systems (e.e., an “agent”) that learn by interacting with their environment in order to solve a problem. RL has applications in areas such as robotics, gaming, consumer modeling, healthcare, supply chain management, and more. This instructor-led, live training (online or […]
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AdaBoost Python for Machine Learning Training Course
Overview AdaBoost is an algorithm that is used together with other machine learning models for optimal performance. It uses ensemble learning techniques, combining weaker models to form more accurate predictions. This instructor-led, live training (online or onsite) is aimed at data scientists and software engineers who wish to use AdaBoost to build boosting algorithms for […]
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Machine Learning with Random Forest Training Course
Overview Random Forest is an algorithm for machine learning that is used mostly for classification and regression. It utilizes multiple decision trees to generate more precise and accurate predictions. This instructor-led, live training (online or onsite) is aimed at data scientists and software engineers who wish to use Random Forest to build machine learning algorithms […]
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Machine Learning for Mobile Apps using Google’s ML Kit Training Course
Overview ML Kit is a mobile SDK provided by Google for integrating machine learning technologies into Android and iOS apps. It features usable APIs for barcode scanning, face detection, image labeling, object detection and tracking, text recognition, translations, and other vision and language processing functions. This instructor-led, live training (online or onsite) is aimed at […]
