Wed.Mar 25, 2020

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10 Awesome Data Manipulation and Wrangling Hacks, Tips and Tricks

Analytics Vidhya

Introduction “Efficiency is doing things right. Effectiveness is doing the right thing.” – Zig Zagler As data scientists, we are often taught to be. The post 10 Awesome Data Manipulation and Wrangling Hacks, Tips and Tricks appeared first on Analytics Vidhya.

Analytics 400
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Evaluating Ray: Distributed Python for Massive Scalability

KDnuggets

If your team has started using ?Ray? and you’re wondering what it is, this post is for you. If you’re wondering if Ray should be part of your technical strategy for Python-based applications, especially ML and AI, this post is for you.

Strategy 104
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Creating trusted COVID-19 data for communities

IBM Big Data Hub

In these rapidly changing times, we all need to get the best information available to make better informed decisions. Between news reports, adjusting to social distancing practices, and other daily adjustments, many of us face a deluge of incoming information. IBM is making it easier for people around the world to stay up to date on COVID-19 in their vicinity as demand for the latest news and statistics surges week-to-week.

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Diffusion Map for Manifold Learning, Theory and Implementation

KDnuggets

This article aims to introduce one of the manifold learning techniques called Diffusion Map. This technique enables us to understand the underlying geometric structure of high dimensional data as well as to reduce the dimensions, if required, by neatly capturing the non-linear relationships between the original dimensions.

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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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Dataiku and DataIQ: Q&A With Florian Douetteau

Dataiku

Today, Dataiku’s CEO Florian Douetteau was listed as part of the DataIQ 100 for the fourth consecutive year. The recognition, which profiles the most important and influential data and analytics practitioners in the U.K., affirms Florian’s commitment to enabling enterprises to build their own path to AI.

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Want to Build an AI Model for Your Business? Read this

KDnuggets

The best approach for AI production is similar to what venture capitalists (VC’s) do when they evaluate and invest in startups.

Modeling 102

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Alternative Data, Text Analytics, and Sentiment Analysis in Trading and Investing

KDnuggets

Different types of data beyond your typical dollars and cents have been used in the finance industry for many years. By leveraging machine learning, sentiment data is expected to play an increasingly dominant role in the investment industry, and this article highlights some special challenges of its use in trading models.

Finance 75
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Business Intelligence and the COVID-19 Pandemic

Paul Blogs on BI

With news, social media and conversation completely dominated by the COVID-19 pandemic, I was hesitant to write a blog that even mentions it. At the same time because I am so passionate about Business Intelligence and can see how it is being both used and abused in this situation, I felt compelled to share my viewpoint. Firstly, let’s talk about the data and the metrics being used to track the pandemic.

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KDnuggets™ News 20:n12, Mar 25: 24 Best (and Free) Books To Understand Machine Learning; Coronavirus Daily Change and Poll Analysis; 9 lessons learned during 1st year as a Data Scientist

KDnuggets

Read our analysis of coronavirus data and poll results; Use your time indoors to learn with 24 best and free books to understand Machine Learning; Study the 9 important lessons from the first year as a Data Scientist; Understand the SVM, a top ML algorithm; check a comprehensive list of AI resources for online learning; and more.

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How the Boston Red Sox Knock It Out of the Park with Analytics and AI

DataRobot

Baseball very much remains America’s national pastime, but Major League Baseball (MLB) has faced its share of challenges recently. Even a franchise as universally successful and iconic as the Boston Red Sox -- four World Series championships since 2004 paired with massive popularity off the field -- is not immune to these challenges. To address some of these off-field obstacles, the Red Sox have turned to the same thing that helped them win those championships on the field: advanced analytics an

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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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Top KDnuggets tweets, Mar 18-24: Advice to Data Scientists: don’t post a blog on #coronavirus based on your ad-hoc data analysis without reading something on epidemiology – here are some useful links

KDnuggets

#Coronavirus growth in Western countries: March 19 update - Spain and US cases; If you need a break from #coronavirus news, here is #AlphaGo - The Movie; Which Country Has Flattened the Curve for the #Coronavirus?; Excellent source of #Coronavirus info - FT.

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Five Key Questions to Help Speed JD Edwards Financial Reporting

Jet Global

While JD Edwards transactional data is required to run period close reports, analyze trends, and prepare forecasts for planning and budgeting, it comes with a lot of complexity. JD Edwards World has no less than 1600 tables of data to support just its business applications. Each table can be huge. In one case , of 570GB of data in production, about half the data (260GB) was found in only 8 tables.

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How Zero-trust Micro-segmentation Strengthens Cybersecurity Defense

CDW Research Hub

Cybersecurity is a battlefield—one that is changing fast, with mobile workforces, remote devices, and access and data everywhere. The IT landscape doesn’t look like it did even five years ago. The perimeter is less defined and larger than ever. There are more attack vectors, more vulnerabilities and more exploits than ever before. Organizations of all sizes face the growing challenge of securing contemporary business models, infrastructures, and user experiences in the face of these continuously

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Smarten Launches COVID-19 Coronavirus Website to Track Infection Trends and Geography in India

Smarten

‘Facts are to the mind what food is to the body’ ~ Edmund Burke ~. India is not exempt from the Corona Virus (COVID-19) and, as with every other country around the world, the prospect of infection and spread throughout the cities of India is a daunting idea. Facts, scientific and medical advice and information is what will get us through. In order to support the citizens of India with timely, accurate information and mitigate the risk of panic and the spread of misinformation, Smarten has launch

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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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Desktop as a Service on 4 Different Cloud Platforms in 3 Minutes

Nutanix

Frame started out during the early days of cloud computing, learning to adapt to rapid changes and build features to meet the needs of our many unique customers. We weren’t just built during early public cloud development, Frame was built on the public cloud and has always taken an agile development and delivery approach -- anticipating customer demands and acting quickly to provide new solutions using the latest technology innovations.

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Boost Your Productivity Levels With Automated Reporting System & Tools

datapine

Data, information, and insights are all around us. Before we even realize our business potentials and want to act in our competitive market, there is always a new business plan to make, a new strategy to develop, a new report to generate – and they all take time. Since massive amounts of data are generated by every second, businesses are always in the lookout for the best possible data analysis tool that will make their processes easier, faster, and more effective.

Reporting 209
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Desktop as a Service on 4 Different Cloud Platforms in 3 Minutes

Nutanix

Frame started out during the early days of cloud computing, learning to adapt to rapid changes and build features to meet the needs of our many unique customers. We weren’t just built during early public cloud development, Frame was built on the public cloud and has always taken an agile development and delivery approach -- anticipating customer demands and acting quickly to provide new solutions using the latest technology innovations.

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Building a scalable online product recommender with Keras, Docker, GCP, and GKE

Insight

Build a scalable, online recommender with Keras, Docker, GCP, and GKE TL;DR Online retailers such as Wayfair and Amazon offer endless arrays of products, chosen by smart AI product recommender systems. In the past, these systems have been out of reach for individual developers. However, with new open-source technology, it is now easier than ever to build scalable, AI-powered content-based product recommendations, with highly personalized suggestions.

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

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Desktop as a Service on 4 Different Cloud Platforms in 3 Minutes

Nutanix

Frame started out during the early days of cloud computing, learning to adapt to rapid changes and build features to meet the needs of our many unique customers. We weren’t just built during early public cloud development, Frame was built on the public cloud and has always taken an agile development and delivery approach -- anticipating customer demands and acting quickly to provide new solutions using the latest technology innovations.

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The Growing Importance Of Machine Learning With Dedicated Servers

Smart Data Collective

Machine learning is changing the web hosting industry in countless ways. Many third-party hosting providers, such as Amazon Web Services have started utilizing machine learning in different capacities. Amazon Sagemaker is among the machine learning tools that have transformed the services that the platform offers to customers. Matthew Fryer, the Vice President and chief data science officer for Hotels.com has spoken very highly of this machine learning service.

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How to Prioritize Your Development Time

Sisense

Blog. In Navigating Change in Crisis, we explore how individuals and companies are adapting to a “new normal” in order to keep essential services functioning. We provide actionable advice around how organizations, and ultimately the builders of data and analytic apps, are adapting to meet these changes. These insights aim to help you and your team navigate these unprecedented times.

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How Product Teams are Creating the Workplace of the Future

Sisense

Blog. In The Future of Work , we explore how companies are transforming to stay competitive as global collaboration becomes vital. We will feature stories from both builders and leaders who manage these transformations to illustrate workplace trends and what’s coming next. The combined forces of globalization and technology are transforming our workplaces in a multitude of ways: AI is entering the mainstream and it promises new levels of efficiency and cost savings for businesses.

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.