Machine keynote

•Download as KEY, PDF•

0 likes•297 views

Dylan Flemm is a music producer and engineer from New Jersey known as Machine. He completed his first major music production project at age 26. Machine has worked with bands such as Cobra Starship, Four Year Strong, and Suicide Silence. He is always striving for success and innovation in his current projects.

From
New Jersey
First Major Project At
Age 26

References
http://www.machineshopproductions.org/producers/machine.html
http://www.absolutepunk.net/showthread.php?t=274823
http://www.absolutepunk.net/showthread.php?t=1570842
http://heavymetal.about.com/od/s/fr/suicidesilence-notimetobleed.htm

Images
http://www.krankamps.com/artists/machine-635
http://www.metalsucks.net/2009/01/23/former-lamb-of-god-producer-machine-appeared-on-the-real-
world-brooklyn-this-week-wait-wha/
http://www.apple.com/pro/profiles/machine/index2.html
http://www.cmdistro.com/Item/Suicide_Silence_-_No_Time_To_Bleed_-Slipsleeve-/30637
http://four-3one.blogspot.com/2011/01/download-album-four-year-strong-enemy.html
http://store.cobrastarship.com/store/show/39947
http://www.machineshopproductions.org/images/0.jpg
http://www.karaoke-lyrics.net/photos/cobra-starship-28955/111062
http://www.sweetslyrics.com/Four%20Year%20Strong.html
http://www.sweetslyrics.com/Suicide%20Silence.html

Video: https://www.youtube.com/watch?v=R3IXd1iwqjc Meetup: http://www.meetup.com/SF-Bay-ACM/events/231709894/ In this talk, Arno Candel presents a brief history of AI and how Deep Learning and Machine Learning techniques are transforming our everyday lives. Arno will introduce H2O, a scalable open-source machine learning platform, and show live demos on how to train sophisticated machine learning models on large distributed datasets. He will show how data scientists and application developers can use the Flow GUI, R, Python, Java, Scala, JavaScript and JSON to build smarter applications, and how to take them to production. He will present customer use cases from verticals including insurance, fraud, churn, fintech, and marketing. - Powered by the open source machine learning software H2O.ai. Contributors welcome at: https://github.com/h2oai - To view videos on H2O open source machine learning software, go to: https://www.youtube.com/user/0xdata

Accelerating Machine Learning and Deep Learning At Scale...With Apache Spark:...

Spark Summit

Deep learning is a fast growing subset of machine learning. There is an emerging trend to conduct deep learning in the same cluster along with existing data processing pipelines to support feature engineering and traditional machine learning. As the leading framework for Distributed ML, we believe that the addition of deep learning to the super-popular Spark framework is important, because it allows Spark developers to perform a range of data analysis tasks within a single framework that helps avoid the complexity inherent in using multiple frameworks and libraries. As one of the early and top contributors to Apache Spark, Intel is thrilled to share with the community a big deal contribution to open source Spark…”BigDL” -… A distributed deep Learning framework organically built on Big Data (Apache Spark) platform. It combines the benefits of “high performance computing” and “Big Data” architecture for rich deep learning support. With BigDL on Spark, customers can eliminate large volume of unnecessary dataset transfer between separate systems, eliminate separate HW clusters and move towards a CPU cluster, reduce system complexity and the latency for end-to-end learning. Ultimately, customers can achieve better scale, higher resource utilization, ease of use/development, and better TCO. Feature parity with Caffe and Torch, significant performance boost when combined with Intel’s Math Kernel Library (MKL), scale-out, fault tolerance, elasticity and dynamic resource sharing are some of the prominent features of BigDL. BigDL open source project will be launched at the 2017 Spark Summit East and this keynote will help spotlight this new contribution and benefits to the Spark developer community and encourage their wide contribution and collaboration. We will also showcase some real world applications of Big DL from early customers’ adoption.

FOWA London 2015 Testing different versions of your site can be hugely distracting; it’s both trivial and non-trivial, and terribly time-consuming. Layer-based iterative development can help by effectuating all changes in the user’s browser instead of the site’s backend. Manu will present this new approach to developing the best performing version of a site using the Frosmo javascript tag and SaaS platform. Together they can save time and let those most interested in the results be in charge of the tests, without putting your site at risk.

Machine Learning for Dummies

Venkata Reddy Konasani

Introduction to Machine Learning

Rahul Jain

Hadoop and Machine Learning

joshwills

Introduction to Machine LearningLior Rokach

Overview of Machine Learning and Feature Engineering

Turi, Inc.

10 more lessons learned from building Machine Learning systems

Xavier Amatriain

Machine Learning Algorithms

DezyreAcademy

Introduction to Big Data/Machine Learning

Lars Marius Garshol

LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...

DanBrown980551

Do you want to learn how to model and simulate an electrical network from scratch in under an hour? Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)! During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook. PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides: - A fully editable and extendable library for grid component modelling; - Visualization tools to display your network; - Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses; The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well. What you will learn during the webinar: - For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills; - For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.

Secstrike : Reverse Engineering & Pwnable tools for CTF.pptx

nkrafacyberclub

Bits & Pixels using AI for Good.........

Alison B. Lowndes

Free Complete Python - A step towards Data Science

RinaMondal9

Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...

Product School

GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...

James Anderson

Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management. The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM). Speakers: Bob Boule Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle. Gopinath Rebala Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.

De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...

Product School

Accelerate your Kubernetes clusters with Varnish Caching

Thijs Feryn

FIDO Alliance Osaka Seminar: Overview.pdf

FIDO Alliance

Monitoring Java Application Security with JDK Tools and JFR Events

Ana-Maria Mihalceanu

Quantum Computing: Current Landscape and the Future Role of APIs

Vlad Stirbu

Generative AI Deep Dive: Advancing from Proof of Concept to Production

Aggregage

The Future of Platform Engineering

Jemma Hussein Allen

Viewers also liked

Let Non-Developers Develop your Site. Manu Raivio

Future Insights

Machine Learning for Dummies

Venkata Reddy Konasani

Introduction to Machine Learning

Rahul Jain

Hadoop and Machine Learning

joshwills

Introduction to Machine LearningLior Rokach

Overview of Machine Learning and Feature Engineering

Turi, Inc.

10 more lessons learned from building Machine Learning systems

Xavier Amatriain

Machine Learning Algorithms

DezyreAcademy

Introduction to Big Data/Machine Learning

Lars Marius Garshol

Viewers also liked (9)

Let Non-Developers Develop your Site. Manu Raivio

Machine Learning for Dummies

Introduction to Machine Learning

Hadoop and Machine Learning

Introduction to Machine Learning

Overview of Machine Learning and Feature Engineering

10 more lessons learned from building Machine Learning systems

Machine Learning Algorithms

Introduction to Big Data/Machine Learning

Recently uploaded

LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...

DanBrown980551

Secstrike : Reverse Engineering & Pwnable tools for CTF.pptx

nkrafacyberclub

Bits & Pixels using AI for Good.........

Alison B. Lowndes

Free Complete Python - A step towards Data Science

RinaMondal9

Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...

Product School

GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...

James Anderson

De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...

Product School

Accelerate your Kubernetes clusters with Varnish Caching

Thijs Feryn

FIDO Alliance Osaka Seminar: Overview.pdf

FIDO Alliance

Monitoring Java Application Security with JDK Tools and JFR Events

Ana-Maria Mihalceanu

Quantum Computing: Current Landscape and the Future Role of APIs

Vlad Stirbu

Generative AI Deep Dive: Advancing from Proof of Concept to Production

Aggregage

The Future of Platform Engineering

Jemma Hussein Allen

UiPath Test Automation using UiPath Test Suite series, part 3

DianaGray10

PCI PIN Basics Webinar from the Controlcase Team

ControlCase

Securing your Kubernetes cluster_ a step-by-step guide to success !

KatiaHIMEUR1

Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster. However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks. In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.

PHP Frameworks: I want to break free (IPC Berlin 2024)

Ralf Eggert

In this presentation, we examine the challenges and limitations of relying too heavily on PHP frameworks in web development. We discuss the history of PHP and its frameworks to understand how this dependence has evolved. The focus will be on providing concrete tips and strategies to reduce reliance on these frameworks, based on real-world examples and practical considerations. The goal is to equip developers with the skills and knowledge to create more flexible and future-proof web applications. We'll explore the importance of maintaining autonomy in a rapidly changing tech landscape and how to make informed decisions in PHP development. This talk is aimed at encouraging a more independent approach to using PHP frameworks, moving towards a more flexible and future-proof approach to PHP development.

Leading Change strategies and insights for effective change management pdf 1.pdf

OnBoard

Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...

Thierry Lestable

Transcript: Selling digital books in 2024: Insights from industry leaders - T...

BookNet Canada

The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more. Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/ Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.

Recently uploaded (20)

LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...

Secstrike : Reverse Engineering & Pwnable tools for CTF.pptx

Bits & Pixels using AI for Good.........

Free Complete Python - A step towards Data Science

Unsubscribed: Combat Subscription Fatigue With a Membership Mentality by Head...

GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...

De-mystifying Zero to One: Design Informed Techniques for Greenfield Innovati...

Accelerate your Kubernetes clusters with Varnish Caching

FIDO Alliance Osaka Seminar: Overview.pdf

Monitoring Java Application Security with JDK Tools and JFR Events

Quantum Computing: Current Landscape and the Future Role of APIs

Generative AI Deep Dive: Advancing from Proof of Concept to Production

The Future of Platform Engineering

UiPath Test Automation using UiPath Test Suite series, part 3

PCI PIN Basics Webinar from the Controlcase Team

Securing your Kubernetes cluster_ a step-by-step guide to success !

PHP Frameworks: I want to break free (IPC Berlin 2024)

Leading Change strategies and insights for effective change management pdf 1.pdf

Empowering NextGen Mobility via Large Action Model Infrastructure (LAMI): pav...

Transcript: Selling digital books in 2024: Insights from industry leaders - T...

Machine keynote

1. Machine The Visionary Dylan Flemm

2. Machine The Visionary Dylan Flemm

3. From New Jersey First Major Project At Age 26

4. From New Jersey First Major Project At Age 26

5. Always Striving For Success

6. Always Striving For Success

7. Cobra Starship

8. Cobra Starship

10.

11. Four Year Strong

12. Four Year Strong

13.

14.

15. Suicide Silence

16. Suicide Silence

17.

18.

19. All About Innovation

20. All About Innovation

21. Current Projects

22. Current Projects

23. References http://www.machineshopproductions.org/producers/machine.html http://www.absolutepunk.net/showthread.php?t=274823 http://www.absolutepunk.net/showthread.php?t=1570842 http://heavymetal.about.com/od/s/fr/suicidesilence-notimetobleed.htm Images http://www.krankamps.com/artists/machine-635 http://www.metalsucks.net/2009/01/23/former-lamb-of-god-producer-machine-appeared-on-the-real- world-brooklyn-this-week-wait-wha/ http://www.apple.com/pro/profiles/machine/index2.html http://www.cmdistro.com/Item/Suicide_Silence_-_No_Time_To_Bleed_-Slipsleeve-/30637 http://four-3one.blogspot.com/2011/01/download-album-four-year-strong-enemy.html http://store.cobrastarship.com/store/show/39947 http://www.machineshopproductions.org/images/0.jpg http://www.karaoke-lyrics.net/photos/cobra-starship-28955/111062 http://www.sweetslyrics.com/Four%20Year%20Strong.html http://www.sweetslyrics.com/Suicide%20Silence.html

Machine keynote

Recommended

Recommended

More Related Content

Viewers also liked

Viewers also liked (9)

Recently uploaded

Recently uploaded (20)

Machine keynote

Editor's Notes