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  1. Künstliche Intelligenz Schulungen
  2. Predictive Analytics Schulungen

Predictive Analytics Schulungen

Predictive Analytics Schulungen

Predictive Analytics ist der Prozess der Verwendung von Datenanalysen, um Vorhersagen über die Zukunft zu treffen. Dieser Prozess verwendet Daten zusammen mit Data-Mining-, Statistik- und maschinellen Lerntechniken, um ein Vorhersagemodell für die Vorhersage zukünftiger Ereignisse zu erstellen. NobleProg Onsite Live Predictive Analytics-Trainingskurse demonstrieren anhand praktischer Übungen, wie verschiedene Tools verwendet werden können, um Vorhersagemodelle zu erstellen und sie auf große Beispieldatensätze anzuwenden, um zukünftige Ereignisse basierend auf den Daten vorherzusagen. Predictive Analytics Training ist in verschiedenen Formaten verfügbar, einschließlich Live-Training vor Ort und Live-Training in einer interaktiven Remote-Desktop-Konfiguration. Lokale Predictive Analytics-Schulungen können live in den Räumlichkeiten des Kunden oder in lokalen Schulungszentren von NobleProg durchgeführt werden.

Erfahrungsberichte

He was very informative and helpful.

Pratheep Ravy - UPC Schweiz GmbH

Course Name: Predictive Modelling with R

The subject matter and the pace were perfect.

Tim - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada

Course Name: Programming with Big Data in R

The tutor, Mr. Michael Yan, interacted with the audience very well, the instruction was clear. The tutor also go extent to add more information based on the requests from the students during the training.

Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada

Course Name: Programming with Big Data in R

the introduction of new packages

Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada

Course Name: Programming with Big Data in R

Michael the trainer is very knowledgeable and skillful about the subject of Big Data and R. He is very flexible and quickly customize the training to meet clients' need. He is also very capable to solve technical and subject matter problems on the go. Fantastic and professional training!

Xiaoyuan Geng - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada

Course Name: Programming with Big Data in R

ref material to use later was very good

PAUL BEALES - Seagate Technology

Course Name: Applied Machine Learning

ref material to use later was very good.

PAUL BEALES- Seagate Technology.

Course Name: Applied Machine Learning

What did you like the most about the training?:

Gave me good practice with using R to build machine learning systems for real situations. I can use this in my work straight away.

This was an excellent course. One of the best I have had.

Matthew Thomas - British Telecom

Course Name: Applied Machine Learning

Systematisierung von Wissen im Bereich ML

Orange Polska

.

Course Name: From Data to Decision with Big Data and Predictive Analytics

Translated by Google Translated

usystematyzowanie wiedzy z dziedziny ML

- Orange Polska

Bereich des Materials

Maciej Jonczyk Orange Polska

.

Course Name: From Data to Decision with Big Data and Predictive Analytics

Translated by Google Translated

zakres materialu

Maciej Jonczyk - Orange Polska

Previous Next

Predictive Analytics Schulungsübersicht

Code Name Dauer Übersicht
appliedml Angewandtes Maschinelles Lernen 14 hours Der Übungskurs ist für alle diejenigen gedacht, die "Machine Learning" in praktischen Applikationen anwenden möchten Teilnehmer Dieser Kurs ist für Data Scientists und Statistiker, die Grundkenntnisse in Statistik haben und wissen, wie man R programmiert. Der Schwerpunkt des Kurses liegt auf dem praktischen Aspekt von Daten/Modell-Vorbereitung, Execution, post hoc Analyse und Visualisierung. Das Ziel ist es, den Teilnehmern praktische Kenntnisse im Maschinellen Lernen  zu vermitteln.  Bereichsspezifische Beispiele erhöhen die Relevanz der Schulung für die Teilnehmer. 
apachemdev Apache Mahout für Entwickler 14 hours Teilnehmer   Entwickler, die in ihren Projekten Apache Mahout für maschinelles Lernen nutzen möchten.     Inhalt Praktische EInführung in maschinelles Lernen. Der Kurs wird in Form eines Workshops durchgeführt und beinhaltet Anwendungsfälle zu realen Problemen.   
d2dbdpa From Data to Decision with Big Data and Predictive Analytics 21 hours Audience If you try to make sense out of the data you have access to or want to analyse unstructured data available on the net (like Twitter, Linked in, etc...) this course is for you. It is mostly aimed at decision makers and people who need to choose what data is worth collecting and what is worth analyzing. It is not aimed at people configuring the solution, those people will benefit from the big picture though. Delivery Mode During the course delegates will be presented with working examples of mostly open source technologies. Short lectures will be followed by presentation and simple exercises by the participants Content and Software used All software used is updated each time the course is run so we check the newest versions possible. It covers the process from obtaining, formatting, processing and analysing the data, to explain how to automate decision making process with machine learning.
bigdatar Programming with Big Data in R 21 hours
predmodr Predictive Modelling with R 14 hours R is an open-source free programming language for statistical computing, data analysis, and graphics. R is used by a growing number of managers and data analysts inside corporations and academia. R has a wide variety of packages for data mining.
intror Introduction to R with Time Series Analysis 21 hours R is an open-source free programming language for statistical computing, data analysis, and graphics. R is used by a growing number of managers and data analysts inside corporations and academia. R has a wide variety of packages for data mining.
Piwik Getting started with Piwik 21 hours Audience Web analysist Data analysists Market researchers Marketing and sales professionals System administrators Format of course     Part lecture, part discussion, heavy hands-on practice
datamodeling Pattern Recognition 35 hours This course provides an introduction into the field of pattern recognition and machine learning. It touches on practical applications in statistics, computer science, signal processing, computer vision, data mining, and bioinformatics. The course is interactive and includes plenty of hands-on exercises, instructor feedback, and testing of knowledge and skills acquired. Audience     Data analysts     PhD students, researchers and practitioners  
kdd Knowledge Discover in Databases (KDD) 21 hours Knowledge discovery in databases (KDD) is the process of discovering useful knowledge from a collection of data. Real-life applications for this data mining technique include marketing, fraud detection, telecommunication and manufacturing. In this course, we introduce the processes involved in KDD and carry out a series of exercises to practice the implementation of those processes. Audience     Data analysts or anyone interested in learning how to interpret data to solve problems Format of the course     After a theoretical discussion of KDD, the instructor will present real-life cases which call for the application of KDD to solve a problem. Participants will prepare, select and cleanse sample data sets and use their prior knowledge about the data to propose solutions based on the results of their observations.
matlabdsandreporting MATLAB Fundamentals, Data Science & Report Generation 126 hours In the first part of this training, we cover the fundamentals of MATLAB and its function as both a language and a platform.  Included in this discussion is an introduction to MATLAB syntax, arrays and matrices, data visualization, script development, and object-oriented principles. In the second part, we demonstrate how to use MATLAB for data mining, machine learning and predictive analytics. To provide participants with a clear and practical perspective of MATLAB's approach and power, we draw comparisons between using MATLAB and using other tools such as spreadsheets, C, C++, and Visual Basic. In the third part of the training, participants learn how to streamline their work by automating their data processing and report generation. Throughout the course, participants will put into practice the ideas learned through hands-on exercises in a lab environment. By the end of the training, participants will have a thorough grasp of MATLAB's capabilities and will be able to employ it for solving real-world data science problems as well as for streamlining their work through automation. Assessments will be conducted throughout the course to gauge progress. Format of the course Course includes theoretical and practical exercises, including case discussions, sample code inspection, and hands-on implementation. Note Practice sessions will be based on pre-arranged sample data report templates. If you have specific requirements, please contact us to arrange.
matlabpredanalytics Matlab for Predictive Analytics 21 hours Predictive analytics is the process of using data analytics to make predictions about the future. This process uses data along with data mining, statistics, and machine learning techniques to create a predictive model for forecasting future events. In this instructor-led, live training, participants will learn how to use Matlab to build predictive models and apply them to large sample data sets to predict future events based on the data. By the end of this training, participants will be able to: Create predictive models to analyze patterns in historical and transactional data Use predictive modeling to identify risks and opportunities Build mathematical models that capture important trends Use data to from devices and business systems to reduce waste, save time, or cut costs Audience Developers Engineers Domain experts Format of the course Part lecture, part discussion, exercises and heavy hands-on practice
bigdatabicriminal Big Data Business Intelligence for Criminal Intelligence Analysis 35 hours Advances in technologies and the increasing amount of information are transforming how law enforcement is conducted. The challenges that Big Data pose are nearly as daunting as Big Data's promise. Storing data efficiently is one of these challenges; effectively analyzing it is another. 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 Audience Law Enforcement specialists with a technical background Format of the course Part lecture, part discussion, exercises and heavy hands-on practice
aifortelecom AI Awareness for Telecom 14 hours AI is a collection of technologies for building intelligent systems capable of understanding data and the activities surrounding the data to make "intelligent decisions". For Telecom providers, building applications and services that make use of AI could open the door for improved operations and servicing in areas such as maintenance and network optimization. In this course we examine the various technologies that make up AI and the skill sets required to put them to use. Throughout the course, we examine AI's specific applications within the Telecom industry. Audience Network engineers Network operations personnel Telecom technical managers Format of the course     Part lecture, part discussion, hands-on exercises

Zukünftige Kurse

CourseSchulungsdatumKurspreis (Fernkurs / Schulungsraum)
Introduction to R with Time Series Analysis - LeipzigMo, 2018-05-07 09:305250EUR / 6050EUR
Programming with Big Data in R - Berlin Mo, 2018-05-07 09:305250EUR / 6050EUR
Pattern Recognition - DüsseldorfMo, 2018-05-14 09:308750EUR / 9950EUR
Big Data Business Intelligence for Criminal Intelligence Analysis - PotsdamMo, 2018-05-14 09:308750EUR / 9950EUR
Angewandtes Maschinelles Lernen - MünchenDi, 2018-05-15 09:303500EUR / 4100EUR

Other regions

Predictive Analytics Schulungen in Berlin
Predictive Analytics Schulungen in Bremen
Predictive Analytics Schulungen in Dresden
Predictive Analytics Schulungen in Düsseldorf
Predictive Analytics Schulungen in Erfurt
Predictive Analytics Schulungen in Frankfurt am Main
Predictive Analytics Schulungen in Hamburg
Predictive Analytics Schulungen in Hannover
Predictive Analytics Schulungen in Köln
Predictive Analytics Schulungen in Leipzig
Predictive Analytics Schulungen in München
Predictive Analytics Schulungen in Nürnberg
Predictive Analytics Schulungen in Potsdam
Predictive Analytics Schulungen in Stuttgart

Other countries

These courses are also available in other countries ››

Consulting

Predictive Analytics Consulting
Predictive Analytics Schulung, Predictive Analytics boot camp, Predictive Analytics Abendkurse, Predictive Analytics Wochenendkurse , Predictive Analytics Seminare, Predictive Analytics Training, Predictive Analytics Privatkurs, Predictive Analytics Seminar,Predictive Analytics Kurs, Predictive Analytics Coaching

Sonderangebote

Course Ort Schulungsdatum Kurspreis (Fernkurs / Schulungsraum)
MongoDB für Verwaltung München Mo, 2018-04-23 09:30 2600EUR / 3200EUR
Computer Vision with Python Leipzig Di, 2018-04-24 09:30 3000EUR / 3600EUR
Docker for Developers and System Administrators Berlin Di, 2018-04-24 09:30 2600EUR / 3200EUR
MongoDB für Entwickler Hamburg Di, 2018-04-24 09:30 2600EUR / 3200EUR
Hadoop for Developers (2 days) Berlin Do, 2018-04-26 09:30 2600EUR / 3200EUR
Ein Überblick über künstliche Intelligenz Hamburg Fr, 2018-04-27 09:30 1069EUR / 1469EUR
Fundamentals of Cassandra DB Nürnberg Di, 2018-05-01 09:30 3900EUR / 4700EUR
Python for Advanced Machine Learning Erfurt Do, 2018-05-03 09:30 4600EUR / 5400EUR
Business Process Modelling in BPMN 2.0 Berlin Mo, 2018-05-07 09:30 4600EUR / 5400EUR
Fundamentals of Cassandra DB Frankfurt am Main Mi, 2018-05-09 09:30 3900EUR / 4700EUR
Fundamentals of Cassandra DB München Mi, 2018-05-09 09:30 3900EUR / 4700EUR
Drupal and Solr Stuttgart Do, 2018-05-17 09:30 2457EUR / 3057EUR
Docker and Kubernetes Berlin Mi, 2018-06-13 09:30 3800EUR / 4600EUR
Natural Language Processing with Deep Dive in Python and NLTK Köln Mo, 2018-06-18 09:30 5564EUR / 6764EUR
Data Mining with R Bremen Mi, 2018-06-20 09:30 1854EUR / 2454EUR
Advanced Python Erfurt Do, 2018-06-28 09:30 5200EUR / 6200EUR
Linux LPI LPIC-1 Exam 101 Vorbereitung Köln Di, 2018-07-03 09:30 1872EUR / 2472EUR

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