Mon.Jul 29, 2019

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Building a Recommendation System using Word2vec: A Unique Tutorial with Case Study in Python

Analytics Vidhya

Overview Recommendation engines are ubiquitous nowadays and data scientists are expected to know how to build one Word2vec is an ultra-popular word embeddings used. The post Building a Recommendation System using Word2vec: A Unique Tutorial with Case Study in Python appeared first on Analytics Vidhya.

Analytics 307
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Top 10 Best Podcasts on AI, Analytics, Data Science, Machine Learning

KDnuggets

Check out our latest Top 10 Most Popular Data Science and Machine Learning podcasts available on iTunes. Stay up to date in the field with these recent episodes and join in with the current data conversations.

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The 5 Sampling Algorithms every Data Scientist need to know

MLWhiz

Data Science is the study of algorithms. I grapple through with many algorithms on a day to day basis so I thought of listing some of the most common and most used algorithms one will end up using in this new DS Algorithm series. This post is about some of the most common sampling techniques one can use while working with data. Simple Random Sampling Say you want to select a subset of a population in which each member of the subset has an equal probability of being chosen.

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7 Tips for Dealing With Small Data

KDnuggets

At my workplace, we produce a lot of functional prototypes for our clients. Because of this, I often need to make Small Data go a long way. In this article, I’ll share 7 tips to improve your results when prototyping with small datasets.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Forrester 2019 Enterprise BI Platform Waves â„¢ Research Update

Boris Evelson

Forrester has just published 2019 refresh of out Enterprise Business Intelligence (BI) Platforms Waves â„¢. As the BI market and the technology continue to evolve, so does our research. This year we emphasized New market segmentation by Vendor-Managed vs. Client-Managed platforms, which roughly equated to on-premise vs. cloud based platforms, but not quite.

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How to Set Up Snowflake Elevated Accounts

CDW Research Hub

When planning for a cloud data warehouse such as Snowflake, it is important to have a strategic plan in place to initialize the environment for development, testing and production. Using standard patterns for this initialization is a best practice. Sirius is publishing a four-part series to demonstrate best practices in reusable patterns for initializing Snowflake environments.

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Voice of the Client: Anyline teaches smartphones to read with Watson AI

IBM Big Data Hub

Anyline uses Watson Machine Learning to enable smartphones to read documents like license plates and serial numbers, as well as take meter readings.

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Decentralized and Collaborative AI: How Microsoft Research is Using Blockchains to Build More Transparent Machine Learning Models

KDnuggets

Recently, AI researchers from Microsoft open sourced the Decentralized & Collaborative AI on Blockchain project that enables the implementation of decentralized machine learning models based on blockchain technologies.

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Forrester 2019 Enterprise BI Platform Wave™ Evaluations — Research Update

Boris Evelson

Forrester has just published 2019 refreshes of our enterprise business intelligence (BI) platform Waveâ„¢ evaluations. As the BI market and the technology continue to evolve, so does our research. This year, we emphasized: New market segmentation by both vendor-managed and client-managed platforms, which roughly equate to on-premises and cloud-based platforms, respectively, but not quite.

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Top Stories, Jul 22-28: Top 13 Skills To Become a Rockstar Data Scientist; This New Google Technique Help Us Understand How Neural Networks are Thinking

KDnuggets

Also: Convolutional Neural Networks: A Python Tutorial Using TensorFlow and Keras; Fantastic Four of Data Science Project Preparation; The Death of Big Data and the Emergence of the Multi-Cloud Era; The title CDO started out as a joke.

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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Jim Brady Joins the Advisory Board of BRIDGEi2i Analytics Solutions

bridgei2i

FREMONT, CALIFORNIA JULY 31, 2019. BRIDGEi2i Analytics Solutions announced today that P. James (Jim) Brady has joined the advisory board of BRIDGEi2i Analytics Solutions, having recently completed a four-year stint as COO and Vice-Chairman at Grant Thornton LLP, United States. With a career spanning 38 years of professional services delivery and leadership, Jim has spent 25 years as a Partner serving clients and running P&L businesses at Deloitte LLP, including seven years launching and buil

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Monash University: Lecturer / Sr Lecturer – Blockchain [Melbourne, Australia]

KDnuggets

Seeking a Lecturer / Sr Lecturer for the Monash Blockchain Technology Centre (Monash BTC): a visionary enterprise that will bring together world-leading expertise from across Monash to explore, develop and innovate the technology of blockchain, in collaboration with various industry and societal sectors.

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AI in Banking: An Inside Look

Dataiku

We released a white paper in mid-July about the challenges, solutions, and steps to get started with AI in banking, an industry that (like many others) has a lot of the essential ingredients already but is missing some traction. I sat down with the paper’s authors - and finance industry experts - to discuss some of the key points and get additional insights on what makes AI in banking unique.

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Monash University: Lecturer / Sr Lecturer – Cryptography [Melbourne, Australia]

KDnuggets

Seeking a Lecturer / Sr Lecturer in Cryptography. The Monash cryptography research team mainly focuses on the following areas: Post-quantum cryptography; Cloud and database security; Zero-knowledge; Privacy-enhanced technologies.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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Data Scientist Spotlight : Akira Shibata

DataRobot

Akira Shibata, Chief Data Scientist, Japan.

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Monash University: Lecturer / Sr Lecturer – Cybersecurity [Melbourne, Australia]

KDnuggets

Seeking a Lecturer / Sr Lecturer in Cybersecurity. The Monash cybersecurity research team mainly focuses on 3 key streams of areas; namely: cryptography, blockchain, and interdisciplinary cybersecurity applications.

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Jim Brady Joins the Advisory Board of Bridgei2i

bridgei2i

Fremont, California JULY 31, 2019. BRIDGEi2i Analytics Solutions announced today that P. James (Jim) Brady has joined the advisory board of BRIDGEi2i Analytics Solutions, having recently completed a successful four-year stint as COO and Vice-Chairman at Grant Thornton LLP, United States. With a career spanning 38 years of professional services delivery and leadership, Jim has spent about 25 years as a Partner serving clients and running P&L businesses at Deloitte LLP, including seven years l