AI News, HackerMath for Machine Learning

HackerMath for Machine Learning

“Study hard what interests you the most in the most undisciplined, irreverent and original manner possible.” ―

Richard Feynman Math literacy, including proficiency in Linear Algebra and Statistics,is a must for anyone pursuing a career in data science.

The goal of this workshop is to introduce some key concepts from these domains that get used repeatedly in data science applications.

They will be covered to sufficient depth - 50% of the time will be on the concepts and 50% of the time will be spent coding them.

Workshop: Hacker Math for Machine Learning

“Study hard what interests you the most in the most undisciplined, irreverent and original manner possible.” ―

The goal of this workshop is to introduce some key concepts from these domains that get used repeatedly in data science applications.

They will be covered to sufficient depth - 50% of the time will be on the concepts and 50% of the time will be spent coding them.

Hacker Math for Machine Learning

“Study hard what interests you the most in the most undisciplined, irreverent and original manner possible.” ― Richard Feynman Math literacy, including proficiency in Linear Algebra and Statistics, is a must for anyone pursuing a career in data science.

The goal of this workshop is to introduce some key concepts from these domains that get used repeatedly in data science applications.

Instead of going back to formulae and proofs, we teach the concepts by writing code.

They will be covered to sufficient depth - 50% of the time will be on the concepts and 50% of the time will be spent coding them.

The working repo for this workshop is at https://github.com/amitkaps/hackermath/ Amit Kapoor teaches the craft of telling visual stories with data.

Hacker Math for ML workshop,Anthill Inside Pune,Cloud Server Management miniconf Chennai, Gene Kogan in Bangalore, and more

The workshops are useful for people looking to learn basic machine learning or data science, professionals looking to switch fields and jump into AI, students who want to work with data science.

Here’s what you get with your conference tickets: If you’re someone like me who would like to know every minute detail before purchasing a ticket, here’s a blogpost with more information about the talks, workshops and what you can expect at the conference: https://blog.rootconf.in/hasgeek-comes-to-chennai-on-saturday-25-november-7c70821203d4 Get your tickets here: https://rootconf.in/2017-cloud-server-management-miniconf/#tickets Want to start a career in data science?

React Native, migrating from other frameworks, security concerns.CFP link: https://reactfoo.talkfunnel.com/2018-pune/ Rootconf 2018Dates: 11–12 MayTopics: Advanced-level talks on architecture, security, application of ML to DevOps and monitoring and alerts.CFP link: https://rootconf.talkfunnel.com/2018/ 50p 2018Dates: 8–9 FebTopics: Lessons from building payment products in India, banking, tech stack of payment companies, applications of blockchain and cryptocurrencies, security of payment services and interoperability of payments systems.CFP link: https://50p.talkfunnel.com/2018/

Community Resources

Select this link to view the ASCR Program Documents Archive In this report our goal is to provide the application development community with a set of models that can help software developers prepare for exascale.

The workshop brought together approximately fifty experts in the development of large-scale scientific applications, numerical libraries, and computer science infrastructure to determine how to address the growing crisis in software productivity caused by disruptive changes in extreme-scale computer architectures.

This report details the findings and recommendations of the DOE ASCR Exascale Mathematics Working Group that was chartered to identify mathematics and algorithms research opportunities that will enable scientific applications to harness the potential of exascale computing.

Research gaps, approaches, and directions across the breadth of applied mathematics were discussed, and this report synthesizes these perspectives into an integrated outlook on the applied mathematics research necessary to achieve scientific breakthroughs using exascale systems.

These systems will need to connect increasing numbers of scientists, enable use of data and computational services at unprecedented scales, foster scientific discoveries based on ever more complex cross-disciplinary hypotheses, facilitate the immediate sharing and exchange of existing and emerging knowledge, and provide mechanisms for timely control of and feedback to instruments and simulations.

Bayesian methods in data analysis, an introduction

Razorpay is a Y Combinator incubated payments platform that powers online businesses to accept digital payments.

Razorpay is a developer friendly payment gateway that focuses on essentials such as 24x7 support, one line integration code and checkout experiences that are intuitive and customer friendly.

USP of Razorpay’s payment platform is its ‘Checkout’ feature, that allows customers to start and end the payment process on a single page without any re-directs, leading to better payment success rates and customer retention rates.

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