Available both online and on-site, these instructor-led Predictive Analytics courses provide a hands-on approach to mastering various tools for developing predictive models. Participants learn to apply these models to extensive sample datasets to forecast future outcomes based on existing data.
Training options include "online live training" or "onsite live training." Online live sessions, also referred to as "remote live training," are conducted via an interactive remote desktop. Onsite live training can take place at customer premises in Transylvania Central or within NobleProg’s corporate training centers in Transylvania Central.
NobleProg -- Your Local Training Provider
Brasov, Calea Bucuresti Street
NobleProg Brasov, 13 Calea Bucuresti Street Sacele, Brasov, romania, 505600
The hotel is situated at the city entrance, being the best conference and training location in Brasov. Three conference rooms can accommodate up to 170 guests and can be modified for the company needs. These training rooms are equipped with the all necessities of a good conference or training.
Salile de training sunt situate central în Sibiu, pe principalul bulevard. Clădirea hotelului care le gazduieste este de factură clasicistă si reprezinta un punct de referinta arhitecturala a orasului.
Turnul Sfatului, Galeria de Arta Contemporana, sau parcurile Corneliu Coposu si Astra se află în imediata apropiere.
Pentru a ajunge aici de la gara, puteti merge pe jos 20min sau cu autobuzul 5 circa 10min
Locuri de parcare găsiți în parcarea supravegheata, sau pe străzile alăturate.
Cluj-Napoca, Pitești Street
NobleProg Cluj-Napoca, Strada Pitești 19, Cluj-Napoca, romania, 400124
ClujHUB has more rooms for events and training sessions, which can host from 4 to 80 people. These areas can be setup up to fit the companies need. The location is great, 10 minutes walk from the historical city center.
This instructor-led, live training in Transylvania Central (online or onsite) is designed for intermediate-level developers who want to build AI-powered applications using predictive analytics and generative models.
Upon completion of this training, participants will be able to:
Grasp the core principles of predictive AI and generative models.
Leverage AI-powered tools for predictive coding, forecasting, and automation.
Deploy Large Language Models (LLMs) and transformers for generating text and code.
Apply time-series forecasting and AI-driven recommendation systems.
Develop and fine-tune AI models for practical, real-world use cases.
Assess ethical implications and adhere to best practices in AI deployment.
This instructor-led, live training in Transylvania Central (online or onsite) is designed for intermediate-level data professionals who want to apply machine learning techniques to data-driven business challenges, including sales forecasting and predictive modeling using neural networks.
Upon completion of this training, participants will be able to:
Grasp the core concepts and types of machine learning.
Apply key algorithms for classification, regression, clustering, and association analysis.
Conduct exploratory data analysis and data preparation using Python.
Utilize neural networks for nonlinear modeling tasks.
Implement predictive analytics for business forecasting, including sales data.
Evaluate and optimize model performance using visual and statistical techniques.
This guided, live training in Transylvania Central (online or on-site) is designed for beginner-level IT professionals seeking to understand the fundamentals of predictive AI.
Upon completion of this training, participants will be able to:
Grasp the fundamental concepts of predictive AI and its practical uses.
Gather, clean, and prepare data for predictive analysis.
Investigate and visualize data to discover key insights.
Construct simple statistical models to generate predictions.
Assess the effectiveness of predictive models.
Implement predictive AI concepts in real-world situations.
This instructor-led, live training in Transylvania Central (online or onsite) is aimed at intermediate-level DevOps professionals who wish to integrate predictive AI into their DevOps practices.
By the end of this training, participants will be able to:
Implement predictive analytics models to forecast and solve challenges in the DevOps pipeline.
Utilize AI-driven tools for enhanced monitoring and operations.
Apply machine learning techniques to improve software delivery workflows.
Design AI strategies for proactive issue resolution and optimization.
Navigate the ethical considerations of using AI in DevOps.
In this instructor-led live training, participants will learn the mindset with which to approach Big Data technologies, assess their impact on existing processes and policies, and implement these technologies for the purpose of identifying criminal activity and preventing crime. Case studies from law enforcement organizations around the world will be examined to gain insights on their adoption approaches, challenges and results.
By the end of this training, participants will be able to:
Combine Big Data technology with traditional data gathering processes to piece together a story during an investigation.
Implement industrial big data storage and processing solutions for data analysis.
Prepare a proposal for the adoption of the most adequate tools and processes for enabling a data-driven approach to criminal investigation.
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Testimonials (1)
basics and loved the prepared documents and exercises
Rekha Nallam - GE Medical Systems Polska Sp. z o.o.
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