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Writing Smarter Applications with Machine Learning
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Anoop Thomas Mathew
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Introduction to Machine Learning Terminologies for beginners
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Security teams are often seen as roadblocks to rapid development or operations implementations, slowing down production code pushes. As a result, security organizations will likely have to change so they can fully support and facilitate cloud operations. This presentation will explain how DevOps and information security can co-exist through the application of a new approach referred to as DevSecOps.
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Threat Hunting has been commonly definable as a series of investigative actions that should be performed by analyst teams to cover detection gaps where automated tools fail. However, as those techniques become more and more widespread and standardized, wouldn’t it be the case that we can automate a large part of those threat hunting activities, creating a definition oxymoron? In this session, we will demonstrate how some threat hunting techniques can be automated or constructed to augment human activity by encoding analyst intuition into repeatable data extraction and processing technologies. Those techniques can be used to simplify the triage stage and get actionable information from potential threats with minimal human interaction. We then present a Hunting Automation Maturity Model (HAMM) that organizes these techniques around capability milestones, including internal and external context and analytical tooling.
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Why do organisations fail so badly at threat detection? Despite chucking tons of cash at staff and magic next-gen ML products, detection teams rarely deliver reliable, high quality, tangible results. Where are we going so wrong? This talk will step through key issues such as re-inventing the wheel syndrome, why information accumulation/sharing matters, the traditional SOC model and detection priorities, building/retaining awesome employees and an honest look at the state of detection tooling (and often underestimated deployment hurdles). Although perhaps surprising, many issues actually have simple solutions which will be discussed through-out the talk. Technical examples will be used to quantify the challenges and how solutions can work in the real world, with lessons learnt coming straight from the experiences of the Countercept hunt team.
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TDWI Munich 2019 What does it take to operationalize machine learning and AI in an enterprise setting? Machine learning in an enterprise setting is difficult, but it seems easy. All you need is some smart people, some tools, and some data. It’s a long way from the environment needed to build ML applications to the environment to run them in an enterprise. Most of what we know about production ML and AI come from the world of web and digital startups and consumer services, where ML is a core part of the services they provide. These companies have fewer constraints than most enterprises do. This session describes the nature of ML and AI applications and the overall environment they operate in, explains some important concepts about production operations, and offers some observations and advice for anyone trying to build and deploy such systems.
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Talk by Nazar Tymoshyk at NoNameCon 2019. https://nonamecon.org https://cfp.nonamecon.org/nnc2019/talk/GSRUTP/ Incident Detection & Response requires People - to Think, Tools - to provide data and analytics and Processes - to avoid fuckups and assure the quality. But with more alerts, the analysis takes more time, decisions and moreover - actions need to be taken immediately. Attackers actively use automation, so Defenders should also optimize their processes. In our presentation, we'd like to share with the community our lessons learned. Our focus would be on practical moments, the challenges we faced and the simple working solutions we discovered. We plan to challenge the audience with simple but vital questions that will help to establish a good communication bridge to make this delivery effective and valuable for engineers to improve their defense. We'd like to discuss also a variety of actions to be taken after the incident is confirmed. Come and take it.
Nazar Tymoshyk - Automation in modern Incident Detection & Response (IDR) pro...
Nazar Tymoshyk - Automation in modern Incident Detection & Response (IDR) pro...
NoNameCon
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Investing in AI transformation today The modern business advantage: Uncovering deep insights with AI Organizations around the world have come to recognize AI as the transformative technology that enables them to gain real business advantage. AI’s ability to organize vast quantities of data allows those who implement it to uncover deep business insights, augment human expertise, drive operational efficiency, transform their products, and better serve their customers
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Conference: Engage2024 in Antwerp Type: Workshop Speakers: Florian Vogler, Henning Kunz, Christoph Adler Title: Navigating the Future with The Hitchhiker's Guide to Notes and Domino 14 Abstract: Embark on an exhilarating journey with industry trailblazers Florian Vogler, Henning Kunz, and Christoph Adler in this not-to-be-missed workshop at the forefront of the tech universe. Get ready for a thrilling kick-off as we navigate the current state of the HCL universe, setting the stage for an exploration of the groundbreaking Notes and Domino 14. Discover the latest enhancements and revolutionary features that will redefine your experience. In this interactive session, unlock a treasure trove of tips and tricks to elevate your utilization of version 14, both with and without the game-changing panagenda MarvelClient. Brace yourself for also diving into Nomad, Nomad Web, and VoltMX, expanding your horizons in the expansive HCL landscape. Be a part of this exclusive opportunity to stay ahead in the ever-evolving world of HCL technologies. Your journey to mastering Notes and Domino 14 begins here. And remember, in the spirit of intergalactic exploration, don't forget to bring your towel!
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In today's dynamic e-commerce landscape, the payment gateway emerges as a linchpin, ensuring smooth and secure transactions between buyers and sellers. In this discourse, we delve into the meticulous process of devising test cases tailored for scrutinizing payment gateways. Crafting precise test cases for payment gateways is a quintessential responsibility for testers operating within the service industry. This article meticulously explores pivotal scenarios integral to how to test payment gateways, coupled with essential guidelines for drafting effective test cases.
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Data spaces in distributed environments should be allowed to evolve in agile ways providing data space owners with large flexibility about which data they store. Agility and heterogeneity, however, jeopardize data exchanges because representations may build on varying ontologies and data consumers may not rely on the semantic correctness of their queries in the context of semantically heterogeneous, evolving data spaces. Graph data spaces are one example of a powerful model for representing and querying data whose semantics may change over time. To assert and enforce conditions on individual graph data spaces, shape languages (e.g SHACL) have been developed. We investigate the question of how querying and programming can be guarded by reasoning over SHACL constraints in a distributed setting and we sketch a picture of how a future landscape based on semantically heterogeneous data spaces might look like.
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We specialize in Psychic Readings, Psychic Love Spells, Binding Love Spells, Obsession Spells, Voodoo Spells, Lottery Spells, Marriage Spells, Black Magic Spells, Palm Readings & much more. Are you depressed? We perform this come-to-me love spell that works instantly with the aim of Winnipeg back the victim to the person performing the magic. Have you lost your lover? We perform this come-to-me love spell that works instantly with the aim of bringing back the victim to the person performing the magic. Have you lost your lover? Do u need to solve any relationship problem? Contact the powerful spells caster chief kule with love spells that work overnight and love spells that really work. Have you found yourself infatuated with a special someone you think could be the one? Are you looking for a spell to provide them with a nudge in the right direction? Or maybe the spell you cast didn’t achieve the results you were hoping for? Whether you’re new or versed in the ways of spell casting, we’re here to help. Today we’re going to provide you with a detailed guide on the types of love spells to cast. Not only that but there’s something for those who wish to find outside advice from more advanced spell casters. We’re also going to provide you with the top sites available to help you with your dilemma. Let’s begin our journey by educating ourselves on love magic and what a real love caster looks like. Love Magic and Love Casters Love magic made its first appearance back in Ancient Egypt and has been an active practice since. This type of magic is a branch of traditional magic and can be practiced in various ways. Typically the more common use of love magic is through the work of spells, but other methods look like Charms Rituals-LOVE Potions-Dolls and even Amulets If you are interested in becoming a love caster, be prepared for what’s to come. A genuine love caster knows that the art of love casting is no easy feat and shouldn’t be done casually. You should know that not only does it require you to be gifted spiritually, but you must be ready to serve others. Someone who is considered a real love caster has experience in all manner of spells, no matter the difficulty. Training yourself in attraction, commitment, and marriage spells is an excellent place to start. But this by no means will make you a professional. Practice your craft and expand your knowledge; understand that you will possess the ability to help others in time truly. Types of Love Spells What better way to start broadening your experiences with love spells than by learning more about them? These spells work like just about any other spell. Simply apply your intention, use a medium (sigils, mantras, candles, or charm bags), and top it off with establishing the belief that you will receive what you want. So what kind of spells are available and which ones suit your needs the best? Let’s take a look at the many options you have at your disposal. Attraction Spells
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WSO2CON2024 - It's time to go Platformless
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Announcing the new 2.0 version of Codolex, the low code development solution for Delphi developers. This new version includes many enhancements and fixes, as well as a very exciting new pricing model. Check out the slides to learn more about the benefits of Codolex and why you need to elevate your Delphi development today.
Announcing Codolex 2.0 from GDK Software
Announcing Codolex 2.0 from GDK Software
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WSO2CON2024 - It's time to go Platformless
WSO2CON2024 - It's time to go Platformless
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Announcing Codolex 2.0 from GDK Software
Announcing Codolex 2.0 from GDK Software
Writing Smarter Applications with Machine Learning
1.
Writing Smart Programs Anoop
Thomas Mathew twitter: atmb4u Profoundis Inc.
2.
History then: low level →
high level now: code driven → data driven
3.
What is Smart everyone
makes mistakes ○ looking at past to avoid future mistakes everyone misses what comes next ○ predicting what to expect clusters of items do exist ○ automatically group things based on similarity
4.
Jargon Buster Dataset Data Cleaning Dimension Model Training Parameters Dimensionality
Reduction Accuracy Overfitting Underfitting Testing Domain
5.
Parameter Optimization Heuristic / Statistical
/ Machine Learning - “know parameters well” Eg: stock market prediction disaster; no. of lawyers vs. no. of suicides
6.
Supervised vs Unsupervised we
know what we want vs. find what’s interesting NB: training data, accuracy, semi-supervised
7.
Classification / Regression
/ Clustering ★ rain prediction ★ digit recognition ★ customer segmentation ★ time-series prediction ★ spam filtering Algorithm Examples ★ K-means ★ SVR ★ SVC ★ Naive Bayes ★ Random Forest Decision Tree
8.
9.
The ML Process plan
→ collect → execute → test time: 50% 30% 5-10% 15-20%
10.
DEMO 1 SHOPPING PREDICT (https://github.com/atmb4u/smarter-apps-2016)
11.
DEMO 2 Support Vector
Machine (https://github.com/atmb4u/smarter-apps-2016)
12.
Dummy Tasks ★ user
auto-login redirect ★ predict if a user will convert to paid
13.
Thank You Follow me
on twitter:@atmb4u
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