Analytics Vidhya
MARCH 8, 2020
Introduction spaCy is my go-to library for Natural Language Processing (NLP) tasks. I’d venture to say that’s the case for the majority of NLP. The post spaCy Tutorial to Learn and Master Natural Language Processing (NLP) appeared first on Analytics Vidhya.
O'Reilly on Data
MARCH 31, 2020
If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). You already know the game and how it is played: you’re the coordinator who ties everything together, from the developers and designers to the executives. You’re responsible for the design, the product-market fit, and ultimately for getting the product out the door.
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Rocket-Powered Data Science
MARCH 10, 2020
In 2019, I was asked to write the Foreword for the book “ Graph Algorithms: Practical Examples in Apache Spark and Neo4j “ , by Mark Needham and Amy E. Hodler. I wrote an extensive piece on the power of graph databases, linked data, graph algorithms, and various significant graph analytics applications. In their wisdom, the editors of the book decided that I wrote “too much” So, they correctly shortened my contribution by about half in the final published version of my Fo
David Menninger's Analyst Perspectives
MARCH 30, 2020
I was recently asked to identify key modern data architecture trends. Data architectures have changed significantly to accommodate larger volumes of data as well as new types of data such as streaming and unstructured data. Here are some of the trends I see continuing to impact data architectures.
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.
KDnuggets
MARCH 9, 2020
Upgrading your machine learning, AI, and Data Science skills requires practice. To practice, you need to develop models with a large amount of data. Finding good datasets to work with can be challenging, so this article discusses more than 20 great datasets along with machine learning project ideas for you to tackle today.
IBM Big Data Hub
MARCH 20, 2020
We recognize that these are difficult times. In response to the worldwide pandemic, IBM will be extending the SPSS Statistics Subscription trial for active and new accounts through June 15. This will allow our users time to adjust to this dynamic and unprecedented situation.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
O'Reilly on Data
MARCH 19, 2020
O’Reilly online learning is a trove of information about the trends, topics, and issues tech leaders need to know about to do their jobs. We use it as a data source for our annual platform analysis , and we’re using it as the basis for this report, where we take a close look at the most-used and most-searched topics in machine learning (ML) and artificial intelligence (AI) on O’Reilly [1].
Rocket-Powered Data Science
MARCH 10, 2020
50 years after the publication of Alvin Toffler ’s landmark book “ Future Shock “, a new book “ After Shock ” is here. This 540-page compendium collects over 100 modern-day perspectives on After Shock from leading futurists, including deep assessments of Toffler’s formidably prescient predictions from half a century ago, along with a status check on the current exponential growth (“shock”) in all sectors of the world economy, from the unique vantage poin
Data Science 101
MARCH 18, 2020
The big cloud providers are expanding globally by adding more Global Regions. Google recently announced a new mountain west region. Plus, all the other providers have plans to expand globally. This got me wondering, which provider has the most global regions. I went to all the big cloud provider websites, and I was a bit surprised with the results. Google Cloud Regions.
KDnuggets
MARCH 23, 2020
We examine the growth of coronavirus daily cases in most affected countries, and show evidence that social distancing works in reducing the rate of spread. We also analyze KDnuggets Poll results - the scale of change to online and how Data Science work is likely to increase or drop in different regions. Stay Healthy and practice social distancing!
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.
erwin
MARCH 19, 2020
An enterprise architecture framework is a standardized methodology that organizations use to create, describe and change their enterprise architectures. Enterprise architecture (EA) itself describes the blueprint and structure of an organization’s systems and assets. It’s needed to make informed changes that help bridge the gap between the enterprise architecture’s current and desired future state.
Analytics Vidhya
MARCH 25, 2020
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.
Teradata
MARCH 15, 2020
Advanced analytics and AI can significantly accelerate data processing required to get the insights, answers and recommendations to handle and address the COVID-19 pandemic.
Juice Analytics
MARCH 2, 2020
In our data storytelling workshops, I like to discuss the emerging role of ‘analytics translators.’ McKinsey Global Institute estimates that demand for translators in the United States alone may reach two to four million. ( Source ) But the term "translator" gives the impression that the role is about faithful transformation of data into a human-understandable form.
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.
Data Science 101
MARCH 23, 2020
Hilary Mason is the Founder of Fast Forward Labs. She has been involved in the data science space for over a decade. She is a real thought leader in the data space. This keynote was delivered at ODSC East 2020. The post Hilary Mason – The Future of AI and Machine Learning appeared first on Data Science 101.
KDnuggets
MARCH 19, 2020
Many cloud providers, and other third-party services, see the value of a Jupyter notebook environment which is why many companies now offer cloud hosted notebooks that are hosted on the cloud. Let's have a look at 3 such environments.
erwin
MARCH 12, 2020
Almost 70 percent of CEOs say they expect their companies to change their business models in the next three years, and 62 percent report they have management initiatives or transformation programs underway to make their businesses more digital, according to Gartner. Wouldn’t it be advantageous for these organizations to accelerate these digital transformation efforts?
Analytics Vidhya
MARCH 1, 2020
Overview Open-source data science projects are a great way to boost your resume Try your hand at these 6 open source projects ranging from. The post 6 Open Source Data Science Projects for Boosting your Resume appeared first on Analytics Vidhya.
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DataRobot
MARCH 17, 2020
With the fight against COVID-19 spreading across the U.S. and the world, DataRobot understands it is essential that federal government entities convey accurate information to citizens, local governments, and healthcare providers. Towards that end, DataRobot’s enterprise AI platform has developed models to predict which U.S. counties are likely to have their first confirmed COVID-19 cases in the next five days.
Teradata
MARCH 18, 2020
With the lack of available tests & uncertainty around the true number of COVID-19 cases, Teradata Epidemiologist Daniel Ulatowski & Data Scientist Jack McCush hypothesize how symptomatic data & the Vantage ML Engine can be utilized to predict cases.
Data Science 101
MARCH 13, 2020
Elements of Data Science by Allen Downey is a freely available textbook. It consists of Jupyter Notebooks on Google Colab, so you can view and edit code if you want. This could be a great way to begin your data science and programming journey. The post Elements of Data Science – A free Jupyter Notebook Textbook appeared first on Data Science 101.
KDnuggets
MARCH 19, 2020
Where Test/Trace/Quarantine are working, the number of cases/day have declined empirically. Furthermore, this appears to be a radically superior strategy where it can be deployed. I’ll review the evidence, discuss the other strategies and their consequences, and then discuss what can be done.
Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO
The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.
erwin
MARCH 17, 2020
Because of the coronavirus pandemic, organizations across the globe are changing how they operate. Teams need to urgently respond to everything from massive changes in workforce access and management to what-if planning for a variety of grim scenarios, in addition to building and documenting new applications and providing fast, accurate access to data for smart decision-making.
Analytics Vidhya
MARCH 24, 2020
Overview Learn how to use graphs to identify social media influencers We will demonstrate several techniques to identify these social media influencers and lay. The post Using Graphs to Identify Social Media Influencers appeared first on Analytics Vidhya.
Perceptual Edge
MARCH 5, 2020
I just finished reading the book about Artificial Intelligence (AI) that I’ve been craving for years: Artificial Intelligence: A Guide for Thinking Humans , by Melanie Mitchell. More than any other book on this hot but largely misunderstood topic, this book describes AI in clear and accessible terms. It cuts through the hype to present a sane assessment with no agenda apart from a desire to inform.
Juice Analytics
MARCH 31, 2020
Tableau posted a critique of the BBC's coronavirus visualizations , stirring up a good discussion and mixed reviews on Twitter. I wanted to dive a bit deeper into my reaction to the kerfuffle. In the post, Andy Cotgreave’s primary assertion is that the following BBC bar charts should be set to a scale of 0% to 100%. He makes the following points: “Our eyes stretch to the right, and the risk is we perceive that to mean 100%.
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Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.
Data Science 101
MARCH 9, 2020
Emily Glassberg Sands is the Head of Data Science at Coursera. This is a nice talk about how Coursera uses data science to improve the scale of teaching and learning. This talk was delivered at Women in Data Science 2020. The post Emily Glassberg Sands – How Data Science Can Unlock Teaching & Learning at Scale appeared first on Data Science 101.
KDnuggets
MARCH 16, 2020
Will AI always be 5-10 years away? The majority of respondents to this poll think that AutoML will reach expert level in 5-10 years. Interestingly, it is about the same as 5 years ago. We examine the trends by AutoML experience, industry, and region.
erwin
MARCH 5, 2020
The value of enterprise architecture to innovation management and digital transformation is clear. Innovation management is about quickly and effectively implementing your organization’s goals through the adoption of innovative ideas, products, processes and business models. Most organizations are beginning to realize that to drive business growth and maintain a competitive advantage, innovation needs to be uncovered, documented and socialized rapidly but with care to ensure maximum value.
Analytics Vidhya
MARCH 9, 2020
Learn how to build a decision tree model using Weka This tutorial is perfect for newcomers to machine learning and decision trees, and those. The post Build a Decision Tree in Minutes using Weka (No Coding Required!) appeared first on Analytics Vidhya.
Advertiser: Data Robot
The buzz around generative AI shows no sign of abating in the foreseeable future. Enterprise interest in the technology is high, and the market is expected to gain momentum as organizations move from prototypes to actual project deployments. Ultimately, the market will demand an extensive ecosystem, and tools will need to streamline data and model utilization and management across multiple environments.
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