Date: Mon, 1 Jun 2020 11:40:11 +0000 (GMT) Message-ID: <1325262020.7311.1591011611346@c4e8295e3740> Subject: Exported From Confluence MIME-Version: 1.0 Content-Type: multipart/related; boundary="----=_Part_7310_1665396455.1591011611345" ------=_Part_7310_1665396455.1591011611345 Content-Type: text/html; charset=UTF-8 Content-Transfer-Encoding: quoted-printable Content-Location: file:///C:/exported.html Testimonials

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Had a great time attending this workshop. I have learned a lot and since= it also recorded I can go through it and practice it in my own speed.

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Javad Roostaei , University of North Carolina, USA, Adv= anced Course, Seattle 2019

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The BayesiaLab training is an eye-opening experience and Lionel an engag= ing teacher. Highly recommended.

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Dimitri Molerov, Humboldt-Universit=C3=A4t zu Berlin, G= ermany, Introductory and Advanced Courses, Seattle 2019

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Great course. If you want to learn what you can do with Bayesian Network= s, attend this course.

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Ramon Xulvi, Escuela Polit=C3=A9cnica Nacional, Ecuador= , Introductory Course, Sydney 2019

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Better come rested and with a cleared agenda as you can't afford to miss= a minute.

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Nicolas Clerc, Caterpillar, Introductory Course, Amster= dam 2019

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This is an exceptional three-day intro to Bayesian networks led by top-d= rawer faculty. Creating a full-dress structural equation model (SEM) in an = hour sounds crazy. Because it's impossible. But not with BayesiaLab's proba= bilistic structural equation model (PSEM) workflow. If you're in data scien= ce and haven't experienced BayesiaLab, it's high time. Peerless supervised = and unsupervised learning. BayesiaLab beats the stuffing out of traditional= linear and logistic regression. No data? No problem -- use expert elicitat= ion to build, validate and optimize your model. Three days just scratches t= he surface on this powerful analytical tool.

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Kurt Schulzke, Associate Professor of Accounting & = Law, University of North Georgia, Introductory Course, Washington 2019

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The BayesiaLab training course covers it all, from probability theory to= practical examples of how to use the wide range of features that the progr= am offers. The hands-on learning sessions help to answer not only how to cr= eate and use Bayesian networks, but why doing so is a breakthrough approach= in virtually any field. Lionel is a great instructor who is always listeni= ng to feedback in order to make both the course and BayesiaLab itself the b= est it can be.

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Lisa Shaffer, Marketing Science Specialist at RTi Resea= rch, Introductory Course, NYC 2019

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Bring your raincoat to be ready for a firehose of amazing content!!

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Bill Anderson, Software Engineering Institute, Carnegie= Mellon University, Introductory Course, NYC 2019

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If a new user wants to quickly advance along the learning curve with bui= lding Bayesian Networks with BayesiaLab, then this training course is a mus= t.

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It was a very interesting course, learned more about BayesiaLab and lear= ning algorithms

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Linda Smail, Zayed University, Introductory Course, Dub= ai 2018

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This advanced course introduces to the next level of the remarkable abil= ities of BayesiaLab in Bayesian network modeling and data analysis. Emphasi= zing both building and tweaking the models and detailed analysis of the res= ults, the course also provides in-deep understanding of the concepts introd= uced in the introductory session. Thorough content, systematic structure, b= alance between theory and applications together with excellent organization= and outstanding delivery make this course a must for those who want to ful= ly utilize the power of BayesiaLab.

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Alexander Alexeev, Indiana University Bloomington, Adva= nced Course, Seattle 2018

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Excellent course with a promising software that can create a big impact = on practice.

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Hani Mufti, The Royal Children's Hospital Melbourne, In= troductory Course, Sydney 2018

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Lionel guides you effortlessly through this fascinating course. He's a g= reat communicator who adapts the message so everyone can understand the ess= ence of what is being discussed regardless of their field of practice.

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Jef Geys, Primefit, Introductory Course, London 2018=20

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If you want to use BayesiaLab to its full potential, the Advanced Course= is a must! It is a great display of BayesiaLab's functionality and value f= or money in a three-day packed workshop.

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Alta de Waal, Department of Statistics, University of P= retoria, South Africa, Advanced Course, Paris 2017

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BayesiaLab is a great software package which has been created to answer = various industrial needs ranging from understanding data to validating busi= ness assumptions. BayesiaLab offers a three-days long introductory training= session which I found very insightful. I would strongly recommend BayesiaL= ab as a problem solving laboratory designed for A/B testing, causal inferen= ce, or data understanding.

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Peyman Rahmati, Senior Data / Applied Scientist, Amazon= Co., Introductory Course, Paris 2017

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BayesiaLab's classes have enabled me to make a tremendous leap forward i= n my research. I now have the tools needed to create powerful predictive mo= dels and to generate new insights from large, complex data sets.

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Jacqueline MacDonald Gibson, Associate Professor, Unive= rsity of North Carolina, Introductory and Advanced Courses, Boston and Seat= tle 2017

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Great course for anyone who wants to understand what Bayesian is all abo= ut. Very practical and problem oriented, hands on training in creating and = evaluating Bayesian belief networks. In a few days you're not an expert but= you are trained enough so you can use it in practice. Lionel is a great in= structor with perfect knowledge of the theory and software.

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Adrian Ackers, Totta Data Lab, Introductory Course, Par= is 2017

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I felt that the Bayesia product was fascinating. BayesiaLab is like no o= ther in its capacity to reveal otherwise hidden or non-intuitive aspects of= data. If I could by some surgery integrate BayesiaLab into my normal cogni= tive function, I would do so immediately. Lionel is a virtuoso with both hi= s own software and Bayesian analytical strategies. However, as he mentioned= during the introduction, it requires - typically - a year to become compet= ent with the program.

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Peter Capell, SEI-CMU, Introductory and Advanced Course= s, Pittsburgh 2017

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I have been using BayesiaLab for about 2 years to develop pure knowledge= -based models with success since these models prove to be very efficient in= our operational business. However I never had the opportunity to use the t= ool in a Machine Learning mode. This training met fully my expectations, wh= ich were about understanding the major principles of using the tool for Mac= hine Learning and being able to start using it for specific applications in= my business. I have been impressed by the tool=E2=80=99s capabilities and = I feel quite comfortable to start using it for Machine Learning. I strongly= recommend this training to anyone who would like to make a start in Machin= e Learning with Bayesian techniques.

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Philippe Asseman, Airbus, Introductory Course, Paris 20= 16

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I liked particularly the balance between theory and practice during the = training, with Lionel's very accessible explanation of those complex concep= ts. And given the complexity, there is still a lot for me to learn and expl= ore in this field.

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Yue Wu, Telethon Kids Institute, Introductory Course, P= erth 2016

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I have learned a lot during this training session in Paris. Lionel was o= utstanding by being able to answer all our concerns and questions, working = with us individually and collectively, and also attract us to ask for more.= I am looking forward to my next advanced training session.

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Linda Smail, Zayed University, Introductory Course, Par= is 2016

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BayesiaLab is the ideal tool for research in cognitive science

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Yves Ascencio, HIA Robert Picqu=C3=A9, Introductory Cou= rse, Paris 2016

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The introductory course was a real inspiration regarding the application= of Bayesian Networks

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Martin Wel=C3=9F, IT-Focus, Introductory Course, Paris = 2016

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Very informative theoretical and hands on practical training by an intel= ligent and kind teacher for anyone who want to learn how to use this very p= owerful tool in their field. Coming from a non-analytical background I lear= ned a lot. Thank you!

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Rahul Parakhia, Human Health Scientist, RIFM, Introduct= ory Course, Boston 2016

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This is one of the best training I have ever had! Perfect topic that ope= ns so many opportunities in any domain you could think of. Software is amaz= ing and very intuitive. Presenter is extremely knowledgeable, patient and f= riendly. I would definitely consider taking this course again if I need to = refresh my knowledge, but also will be extremely happy to take an advanced = 3 day course. Look forward to start applying Bayesian network analysis at w= ork and hope BayesiaLab will be an extremely important part of it. Thank yo= u Lionel and Stefan for the wonderful course!

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Vladimir Agajanov, Moody's Analytics, USA, Introductory= Course, New York City 2016

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This course is quite intensive but very manageable if you have a backgro= und in statistics/machine learning/data science etc. Lionel (the instructor= ) knows the software inside-out and was able to answer all questions knowle= dgeably and without hesitation. I would absolutely recommend this course as= a thorough and in-depth introduction to Bayesian Networks and the BayesiaL= ab package. The small class sizes also contributed to an enjoyable and enga= ging learning experience.

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Brian Potter, Infotools, New Zealand, Introductory Cour= se, Melbourne 2015

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For me it was a perfect training session and I use the program daily aft= er that.

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Magnus Lindvall, Lund University, Department of Clinica= l Sciences, Sweden, Introductory Course, Paris 2015

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BayesiaLab gives the most comprehensive unified suite of data analytics = tools I've seen. I've already replicated the findings of a scientific paper= with a considerable longitudinal study in only a matter of hours using Bay= esiaLab. Whether you're a data scientist, researcher, or business professio= nal, you will likely uncover and apply more value from your data using this= framework.

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Nick Tsirlis, Organizational Analytics, Introductory an= d Advanced Courses, Washington 2015

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There is no other tool on the market tha= t can deal with the non-Linear nature of most real world problems and provi= de such a breath of analysis and visualization.

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Terry Potter, Venture Solutions & Dev. Inc., Introd= uctory and Advanced Courses, San Jose and Washington 2015

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I enjoyed a very well-prepared course on= especially interesting topics and impressive software given by an outstand= ing instructor. Thanks for the nice and lively training, Lionel.

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Mario Pichler, Software Competence Center Hagenberg, Au= stria, Advanced Course, Paris 2015

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I would recommend the Introductory= course to anyone interested in beginning their journey or furthering their= knowledge in Bayesian Networks. I found Lionel Jouffe to be a true profess= ional with great domain knowledge.

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Craig Ennis, EFT Energy Inc., Introductory Course, Hous= ton 2015

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The training was a truly mind-alte= ring experience. I thoroughly enjoyed it and would recommend it to anyone i= nterested in modeling with Bayesian Networks. Having Lionel personally deli= ver the course and answering any and all questions is of great business and= educational value.

I'm= next looking forward to the advanced course.

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Gabriel Andraos, G Squared Capital, Introductory Course= , Paris 2014

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BayesiaLab makes big data digestible/accessible to the amateur inquirer.=

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John Lamia, FEDEX, Introductory Course, Chicago 2014=20

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I attended the Bayesia Advanced training session in NY in Jan 2014= and enjoyed it a lot. It provides in depth though practical support to des= ign and implement BBN analysis for a range of applications. Lionel Jouffe i= s particularly supportive and offers his highly valuable professional skill= s with a friendly smile. Absolutely recommended!

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Danilo Gambelli, Universit=C3=A0 Politecnica delle Marc= he, Italy, Advanced Course, New York City, 2014

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Fantastic training. Bayesia has compiled one of the most comprehensive t= raining conferences I have ever had the pleasure to attend. If you are work= ing with Bayes you need this class. If you are just thinking about using Ba= yes you need this class.

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Michael Grimes, Principal, Veterans Technology Group In= c., Advanced Course, Los Angeles 2014

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Overall, this training was outstanding. Lionel is a gifted teacher, and = it helps that you are showcasing a first rate product. BayesiaLab is the mo= st intuitive and easy-to-use machine-learning software available. It's a fi= rst-rate investment.

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Dr. Felix Elwert, Vilas Associate Professor of Sociolog= y, University of Wisconsin-Madison, Introductory Course, Chicago 2014

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Lionel is a real expert on Bayesia= n Networks and he does a tremendous job of illustrating the uses of Bayesia= Lab for our company.

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Michael Abramovich, Booz Allen Hamilton, Introductory C= ourse, Boston 2013

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The BayesiaLab software is impressive in= its sophistication and multi-faceted abilities as a decision support tool.= I had been using it primarily as a modeling tool for deductive analysis. T= aking this class opened my eyes to BayesiaLab's incredible data-mining abil= ities. If you are looking for something that will provide a totally new ang= le on business decision problems, this is it!

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Michael Ryall, PhD, Professor of Strategy and Economics= , Rotman Business School, University of Toronto, Introductory Course, Chica= go 2013

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Thank you Lionel and Stefan for the exce= llent training experience. The mix of Bayesian Network theory and hands-on = applications with real data was just about perfect for me. The group of att= endees was great too: from genetics, space communication and control, adver= tising and marketing, and risk assessment. The mix of disciplines made for = great classroom questions and interesting lunch conversations.

Thanks for being great hosts and for pro= viding industry with BayesiaLab. I'll recommend this course and BayesiaLab = to all of my model building friends who need to make better predictions.

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John O. Jones, This or That Media, Introductory Course,= San Mateo 2012

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I attended this training in Feb 2012 in = Orlando. Dr. Jouffe did a great job explaining concepts of Bayesian Belief = Networks. The hands-on sessions are extremely interesting. The BayesiaLab s= oftware has a lot of functions - you can do anything from correlation analy= sis to supervised learning algorithms! This tool can be for analysis in any= area - ranging from market research to health care. I recommend this train= ing to all people interested in Bayesian networks

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Krithika Bhuvaneshwar, Bioinformatician/Data Manager, C= linical Informatics, Lombardi Comprehensive Cancer Center, Georgetown Unive= rsity, Introductory Course, Orlando 2012

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A must-take course for anyone looking to= leverage advanced BBN techniques in virtually any domain.

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Alex Cosmas, Booz Allen Hamilton, Introductory Course, = Los Angeles 2011

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Bayesian Belief Networks is an advanced = technique and Bayesia Lab makes such a complex technique easy to use on fin= gertips. Without any prior knowledge I had attended the Bayesia Lab Trainin= g in Chicago, April 2011 and found it very helpful & worth the money pa= id. The course structure / contents were well planned and by the end of the= course I felt satisfied & had sense of mission accomplished.  Dr.= Jouffe has excellent teaching skills & in his training session there w= ere several Q&A opportunities all addressed with a smiling face.=

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Supriya Satwah, Senior Scientist, Unilever, Introductor= y Course, Chicago 2011

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I enjoyed the training course in Chicago= in April 2011. It was very interesting and very well organized. I learned = a lot of new things and I got inspired for applications of BayesiaLab in my= daily job. Finally the environment: very friendly and productive with the = other attendees coming both from business and academic world, a really wond= erful =E2=80=9Cmelting pot=E2=80=9D. A very exiting experience which I reco= mmend to all people interested in Bayesian networks.

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Tommaso Pronunzio, Partner at Ales Market Res= earch (Italy), ESOMAR Representative, Introductory Course, Chicago 201= 1

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The Bayesia training session was one of = the most valuable and thoughtful I have ever attended. Dr. Jouffe did an ad= mirable job introducing and explaining Bayesian Belief Networks, an area of= predictive modeling that is of rapidly increasing importance in many field= s. The course adroitly mixed practical applications, case histories, and ke= y concepts and theory, explaining the uses and remarkable power of these mo= dels. The approach was always informative and engaging, and included the be= st set of presentation materials I have encountered in a long time. This is= a truly worthwhile course, and it also introduced a remarkable piece of an= alytical software. I speak as somebody who has given seminars and taught gr= aduate courses for over twenty years; this session definitely deserves the = highest praise

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Steven Struhl, Harris Interactive, Introductory Co= urse, New York City 2009

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Attend, attend, attend! The training was= well done allowing for both hands-on using BayesiaLab but also exploration= of the Bayesian approach. Lionel was a great teacher =E2=80=93 to have the= brain behind the product guiding you was indeed amazing, no question went = unanswered.

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Yianna Vovides, The George Washington University, Intro= ductory Course, New York City 2009

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