DataSciCon.Tech Atlanta - The only developer-focused conference for Data Science, Machine Learning, AI, Deep Learning, and Data Analytics
Vincent Mayers <[email protected]> Mon, 5 Nov 2018 09:22:23 -0500
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--===============0709990193539673484== Content-Type: multipart/alternative; boundary="000000000000112a9c0579eb9eb5" --000000000000112a9c0579eb9eb5 Content-Type: text/plain; charset="UTF-8" Content-Transfer-Encoding: quoted-printable Hey, peeps, there is an awesome conference right here in Atlanta coming up in 3 weeks at the Cobb Galleria. DataSciCon.Tech, November 28-30 2018, is a technology conference specifically for engineers interested in Data Science, Machine Learning, Artificial Intelligence, and Data Analytics The AJUG community can get a 20% discount with this voucher AJUG20 *http://datascicon.tech <http://datascicon.tech/> *Act now! Ticket sales end in 1 week This three-day program starts with six full-day hands-on workshops, followed by two days of in-depth technical sessions by instructors and speakers from among others, Google, IBM, Tableau, and RStudio. Participants will have the opportunity to learn from experts in subjects such as Python, TensorFlow, Tableau, R, Kafka, Spark on how to build and deliver successful Data Science related software and projects *November 28, full-day workshops on: * - Predictive Analytics - Forecasting 2.0 - Kirk Borne (Booz Allen) - Image Classification in TensorFlow on Google Cloud (Advanced) - Carl Osipov (Google) -Deep Learning Models at Scale with IBM Watson - Nick Acosta (IBM) -Data Science with R - Jonathan Regenstein (RStudio) -Tableau Hands-on - Tim Lafferty (Velocity) -Machine Learning with Python and TensorFlow (Intro) - Brian Sletten (Bosatsu Consulting) -Intro to Data Science with Jupyter - Ozgur Ozturk, Kulsoom Abdullah (Philips Wellcentive) *November 29-30, deep dive content in 4 tracks on topics such as:* - Multivariate Time Series Anomaly Detection with Deep Learning - d3 presentation recipes, Chatbot with sequence model, Stream analytics using Kafka - Game on: a Data Analytics use case in the Financial industry - Machine Learning Crash Course - Incremental-decremental Methods for Time Series Analysis - The top 5 Items to make a Data Science Project Successful - The Ultimate Stage of Machine Learning - The Future of Voice Interface - Real life use cases for Machine Learning - Shiny Machine Learning with R -Two years in the making: What=E2=80=99s new with Apache Cassandra 4.0? - Jupyter Notebook: What's in it For You - Data visualization in mixed reality with Python - Artificial Intelligence Strategy: Digital Transformation Through Deep Learning - Jamming with a Quantum Computer - Machine Learning Architecture at Scale with Spark and Elasticsearch - We=E2=80=99re Under Attack: The Security Weaknesses in AI - Stream analytics using Kafka And many more! Kirk Borne, Chief Data Scientist for Booz Allen, a returning instructor to the conference and someone who is considered one of the top Data Scientist in the world stated "DataSciCon offers an invaluable depth and breadth of data science, machine learning, AI, and data analytics content. That spans introductory tutorials, hands-on workshops, fascinating cutting-edge conference talks covering deep learning, cross-industry applications, and much more, plus valuable networking opportunities with leading data scientists=E2=80=9D. Says Borne =E2=80=9CCome for the machine learning, com= e away with tons of learning!" Please go here https://tickets.connectevents.io/events/dsct2018/ There is a box that says redeem a voucher, enter the code AJUG20 click "redeem voucher" and you will see the prices drop by 20%. Register as normal for either the 3-day workshop/conference combo or the 2-day conference Cheers Vincent @vincentmayers --000000000000112a9c0579eb9eb5 Content-Type: text/html; charset="UTF-8" Content-Transfer-Encoding: quoted-printable <div dir=3D"ltr"><p class=3D"MsoNormal" style=3D"margin:0in 0in 0.0001pt;fo= nt-size:12pt;font-family:Calibri,sans-serif"><span style=3D"font-family:Ari= al,sans-serif">Hey, peeps, there is an awesome conference right here in Atl= anta coming up in 3 weeks at the Cobb Galleria. DataSciCon.Tech, November 2= 8-30 2018, is a technology conference specifically for engineers interested= in Data Science, Machine=C2=A0Learning, Artificial Intelligence, and Data = Analytics<br> <br></span><span style=3D"font-family:Arial,sans-serif">The AJUG community = can get a 20% discount with this voucher AJUG20=C2=A0</span><u><span style= =3D"font-family:Arial,sans-serif;color:rgb(17,85,204)"><a href=3D"http://da= tascicon.tech/" target=3D"_blank">http://datascicon.tech</a>=C2=A0</span></= u><span style=3D"font-family:Arial,sans-serif;font-size:12pt">Act now! Tick= et sales end in 1 week</span></p><p class=3D"MsoNormal" style=3D"margin:0in= 0in 0.0001pt;font-size:12pt;font-family:Calibri,sans-serif"><span style=3D= "font-family:Arial,sans-serif"> <br>This three-day program starts with six = full-day hands-on workshops, followed by two days of in-depth technical ses= sions by instructors and speakers from among others, Google, IBM, Tableau, = and RStudio. Participants will have the opportunity to learn from experts i= n subjects such as Python, TensorFlow, Tableau, R, Kafka, Spark on how to b= uild and deliver successful Data Science related software and projects<br> <br> <span style=3D"background-image:initial;background-position:initial;backgro= und-size:initial;background-repeat:initial;background-origin:initial;backgr= ound-clip:initial"><b>November 28, full-day workshops on:=C2=A0</b></span><= br>- Predictive Analytics - Forecasting 2.0 - Kirk Borne (Booz Allen)<br>- = Image Classification in TensorFlow on Google Cloud (Advanced) - Carl Osipov= (Google)<br>-Deep=C2=A0Learning=C2=A0Models at Scale with IBM Watson - Nic= k Acosta (IBM)<br>-Data Science with R - Jonathan Regenstein (RStudio)<br>-= Tableau Hands-on - Tim Lafferty (Velocity)<br>-Machine=C2=A0Learning=C2=A0w= ith Python and TensorFlow (Intro) - Brian Sletten (Bosatsu Consulting)<br>-= Intro to Data Science with Jupyter - Ozgur Ozturk, Kulsoom Abdullah (Philip= s Wellcentive)<br> <br> <span style=3D"background-image:initial;background-position:initial;backgro= und-size:initial;background-repeat:initial;background-origin:initial;backgr= ound-clip:initial"><b>November 29-30,=C2=A0 deep dive content in 4 tracks o= n topics such as:</b></span></span><span style=3D"font-family:"Times N= ew Roman",serif"></span></p> <p class=3D"MsoNormal" style=3D"background-image:initial;background-positio= n:initial;background-size:initial;background-repeat:initial;background-orig= in:initial;background-clip:initial;margin:0in 0in 0.0001pt;font-size:12pt;f= ont-family:Calibri,sans-serif"><span style=3D"font-family:Arial,sans-serif"= >- Multivariate=C2=A0Time=C2=A0Series=C2=A0Anomaly=C2=A0Detection=C2=A0with= =C2=A0Deep=C2=A0Learning<br>- d3 presentation recipes, Chatbot with sequenc= e model, Stream analytics using Kafka<br>- Game on: a Data Analytics use ca= se in the Financial industry<br>- Machine=C2=A0Learning=C2=A0Crash Course<b= r>- Incremental-decremental Methods for=C2=A0Time=C2=A0Series=C2=A0Analysis= <br>- The top 5 Items to make a Data Science Project Successful<br>- The Ul= timate Stage of Machine=C2=A0Learning<br>- The Future of Voice Interface<br= >- Real life use cases for Machine=C2=A0Learning<br>- Shiny Machine=C2=A0Le= arning=C2=A0with R<br>-Two years in the making: What=E2=80=99s new with Apa= che Cassandra 4.0?<br>- Jupyter Notebook: What's in it For You<br>- Dat= a visualization in mixed reality with Python<br>- Artificial Intelligence S= trategy: Digital Transformation Through=C2=A0Deep=C2=A0Learning<br>- Jammin= g with a Quantum Computer<br>- Machine=C2=A0Learning=C2=A0Architecture at S= cale with Spark and Elasticsearch<br>- We=E2=80=99re Under Attack: The Secu= rity Weaknesses in AI<br>- Stream analytics using Kafka</span></p> <p class=3D"MsoNormal" style=3D"background-image:initial;background-positio= n:initial;background-size:initial;background-repeat:initial;background-orig= in:initial;background-clip:initial;margin:0in 0in 0.0001pt;font-size:12pt;f= ont-family:Calibri,sans-serif"><span style=3D"font-family:Arial,sans-serif"= >=C2=A0</span></p> <p class=3D"MsoNormal" style=3D"background-image:initial;background-positio= n:initial;background-size:initial;background-repeat:initial;background-orig= in:initial;background-clip:initial;margin:0in 0in 0.0001pt;font-size:12pt;f= ont-family:Calibri,sans-serif"><span style=3D"font-family:Arial,sans-serif"= >And many more!<br> <br>Kirk Borne, Chief Data Scientist for Booz Allen, a returning instructor= to the conference and someone who is considered one of the top Data Scient= ist in the world stated=C2=A0 "DataSciCon=C2=A0offers an invaluable de= pth and breadth of data science, machine=C2=A0learning, AI, and data analyt= ics content. That spans introductory tutorials, hands-on workshops, fascina= ting cutting-edge conference talks covering=C2=A0deep=C2=A0learning, cross-= industry applications, and much more, plus valuable networking opportunitie= s with leading data scientists=E2=80=9D. Says Borne =E2=80=9CCome for the m= achine=C2=A0learning, come away with tons of=C2=A0learning!"<br> <br>Please go here <a href=3D"https://tickets.connectevents.io/events/dsct2= 018/">https://tickets.connectevents.io/events/dsct2018/</a> There is a box = that says redeem a voucher, enter the code AJUG20 click "redeem vouche= r" and you will see the prices drop by 20%. Register as normal for eit= her the 3-day workshop/conference combo or the 2-day conference</span></p> <p class=3D"MsoNormal" style=3D"margin:0in 0in 0.0001pt;font-size:12pt;font= -family:Calibri,sans-serif">=C2=A0</p><div><div dir=3D"ltr" class=3D"gmail_= signature" data-smartmail=3D"gmail_signature"><div dir=3D"ltr"><div><div di= r=3D"ltr"><br><div>Cheers</div><div>Vincent=C2=A0<br></div><div><br></div><= div>@vincentmayers</div></div></div></div></div></div></div> --000000000000112a9c0579eb9eb5-- --===============0709990193539673484== Content-Type: text/plain; charset="utf-8" MIME-Version: 1.0 Content-Transfer-Encoding: base64 Content-Disposition: inline X19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX19fX18KYWp1Zy1tZW1i ZXJzIG1haWxpbmcgbGlzdAphanVnLW1lbWJlcnNAbGlzdHMuYWp1Zy5vcmcKTWFuYWdlIHlvdXIg c3Vic2NyaXB0aW9uIGFuZCB1bnN1YnNjcmliZSBodHRwOi8vbGlzdHMuYWp1Zy5vcmcvbWFpbG1h bi9saXN0aW5mby9hanVnLW1lbWJlcnM= --===============0709990193539673484==--