November, 2019

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Open Source Projects by Google, Uber and Facebook for Data Science and AI

KDnuggets

Open source is becoming the standard for sharing and improving technology. Some of the largest organizations in the world namely: Google, Facebook and Uber are open sourcing their own technologies that they use in their workflow to the public.

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What is the Chi-Square Test and How Does it Work? An Intuitive Explanation with R Code

Analytics Vidhya

Overview What is the chi-square test? How does it work? Learn about the different types of Chi-Square tests and where and when you should. The post What is the Chi-Square Test and How Does it Work? An Intuitive Explanation with R Code appeared first on Analytics Vidhya.

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Here is how IBM’s Data Scientists look at Data-Driven Future

Dataconomy

An aspiration to create a data-driven future has resulted in massive data lakes, where even the most experienced data scientists can drown in. Today, it’s all about what you do with that data that determines your success. And IBM has the recipe for this. Read on. “Without data, you simply can’t. The post Here is how IBM’s Data Scientists look at Data-Driven Future appeared first on Dataconomy.

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IADSS Talk – Who can be a Data Scientist?

Data Science 101

Initiative for Analytics and Data Science Standards (IADSS) is an organization working to develop standards around the roles in data science. They did a large survey earlier this year and they are starting to role out some of their results. Below is a video with some early results. Great Stuff! Data Science 101 is proud to be an IADSS Digital Community Partner.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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7 Ways To Use Big Data To Your Advantage On Social Media

Smart Data Collective

Businesses can use big data in many capacities, but those who use it for social media are at a huge advantage. It enables you as a social media marketer to get a closer look at your customer base, understand what drives purchasing decisions , and encourage consumers to pull the trigger. Using big data to augment your social media strategy provides a wealth of opportunities simply because social media is such an integral part of people’s lives.

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Data Science Fails: Change is the Only Constant

DataRobot

Heraclitus, a Greek philosopher who lived 2,500 years ago, is credited with saying, “Change is the only constant.” Similarly, in 1789, Benjamin Franklin wrote, “In this world nothing can be said to be certain, except death and taxes.” This blog is about how we sometimes forget these two ideas when using artificial intelligence systems.

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Game (Theory) for AI? An Illustrated Guide for Everyone

Analytics Vidhya

Overview What is Game Theory? And how does it apply to artificial intelligence (AI)? Game theory for AI is a fascinating concept that we. The post Game (Theory) for AI? An Illustrated Guide for Everyone appeared first on Analytics Vidhya.

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Transforming Patient Health: The Power of Data Science in Pharmaceuticals

Dataconomy

By leveraging Data Science, AI, and other digital technologies, the healthcare industry could build complementary health solutions that are personalized to the specific needs of patients. Here is how and why. The world population grows by more than 80 million per year, according to a 2017 report by the United Nations. The post Transforming Patient Health: The Power of Data Science in Pharmaceuticals appeared first on Dataconomy.

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Cloud Data Science News – Beta #4

Data Science 101

In the United States, it is a holiday week, so the news is pretty limited from many of the big cloud providers. Luckily, Amazon has come through with a flurry of machine learning announcements. Amazon is holding their annual re:Invent Conference next week, so maybe these announcements are precursors to some bigger news next week. We will have to wait and see.

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Is Big Data Creating A Competitive Edge For Small Businesses?

Smart Data Collective

Big data is transforming the daily realities of running a business. Companies can use big data to handle certain tasks more quickly and cost-effectively than ever. Vince Campisi, CIO of GE Software, Ash Gupta, an executive with American Express, and many other companies use big data to get a competitive advantage. Of course, big data also raises some new challenges.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Tableau Conference 2019 Starting A New Chapter

DataRobot Blog

by Jen Underwood. And so it begins…Tableau enters the Salesforce era. This year Tableau Conference, the world’s largest gathering of data enthusiasts, continued to grow with over 18,000 attendees joining the party in. Read More.

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Top KDnuggets tweets, Nov 20-26: How to Speed up Pandas by 4x with one line of code

KDnuggets

Also: Deep Learning for Image Classification with Less Data; How to Speed up Pandas by 4x with one line of code; 25 Useful #Python Snippets to Help in Your Day-to-Day Work; Automated Machine Learning Project Implementation Complexities.

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6 Exciting Open Source Data Science Projects you Should Start Working on Today

Analytics Vidhya

Overview Here are six open-source data science projects to enhance your skillset These projects cover a diverse set of domains, from computer vision to. The post 6 Exciting Open Source Data Science Projects you Should Start Working on Today appeared first on Analytics Vidhya.

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Five Ways to Make Better Data-Driven Decisions in 2020

Dataconomy

Is your organization data-driven? Across industries, data has become a core component of most modern businesses. Here is how budgets and corporate planning reflect this trend. A McKinsey study found that 36% of companies say data has had an impact on industry-wide competition, while 32% report actively changing their long-term. The post Five Ways to Make Better Data-Driven Decisions in 2020 appeared first on Dataconomy.

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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Challenges of Data Science Projects

Data Science 101

It is no secret that data science is difficult. Companies struggle to succeed with data science projects. Even Gartner predicts that by 2022 only 20% of analytics projects will deliver business value. That means about 80% will fail to deliver value. Thus, companies need to be very careful about running data analytics projects. There are many reasons for the failure of data science projects.

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Get Ready For These Six 2020 Business Intelligence Trends

Smart Data Collective

More and more often, businesses are using data to drive their decisions — which makes cutting-edge analytics and business intelligence strategies one of the best advantages a company can have. New technologies, especially those driven by artificial intelligence (or AI), are changing how businesses collect and extract usable insights from data. Here are the six trends you should be aware of that will reshape business intelligence in 2020 and throughout the new decade. 1.

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Go Beyond Predictions. Optimize Business Impact.

DataRobot Blog

by Jen Underwood. Why didn’t I think of that? Sometimes we get caught up in our day-to-day lives and don’t stop to see if we are solving the right, bigger picture problems. That’s. Read More.

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10 Free Must-read Books on AI

KDnuggets

Artificial Intelligence continues to fill the media headlines while scientists and engineers rapidly expand its capabilities and applications. With such explosive growth in the field, there is a great deal to learn. Dive into these 10 free books that are must-reads to support your AI study and work.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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Want to Build Machine Learning Pipelines? A Quick Introduction using PySpark

Analytics Vidhya

Overview Here’s a quick introduction to building machine learning pipelines using PySpark The ability to build these machine learning pipelines is a must-have skill. The post Want to Build Machine Learning Pipelines? A Quick Introduction using PySpark appeared first on Analytics Vidhya.

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Does Digital Health Discriminate Against Low Socioeconomic Groups?

Dataconomy

In an increasingly always-on, connected world, it’s easy to assume that everyone reaps the benefits of technological advances. Unfortunately, technology has not changed the fact that the rich continue to get richer, while the poor get exploited. The technology revolution in the healthcare field is big business. Care providers and. The post Does Digital Health Discriminate Against Low Socioeconomic Groups?

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Data Science News from Microsoft Ignite 2019

Data Science 101

Microsoft just held one of its largest conferences of the year, and a few major announcements were made which pertain to the cloud data science world. Here they are in my order of importance (based upon my opinion). Azure Synapse. I think this announcement will have a very large and immediate impact. Azure Synapse Analytics can be seen as a merge of Azure SQL Data Warehouse and Azure Data Lake.

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3 Ways Big Data Is Bringing SEO Out of The Stone Age

Smart Data Collective

Anybody that was online in the 1990s knows how different search engines are in the field of SEO. Big data has drastically improved the functionality of search engines. Big data has had a two-pronged effect on the search engine industry. AJ Agrawal, the CEO of Alumnify has talked about this in his article on Inc. Big data is making it a lot easier for search engines to analyze content, which is a great deal for the customer.

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How to Drive Cost Savings, Efficiency Gains, and Sustainability Wins with MES

Speaker: Nikhil Joshi, Founder & President of Snic Solutions

Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.

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A Simple Explanation of the Bag-of-Words Model

Victor Zhou

The bag-of-words (BOW) model is a representation that turns arbitrary text into fixed-length vectors by counting how many times each word appears. This process is often referred to as vectorization. Let’s understand this with an example. Suppose we wanted to vectorize the following: the cat sat the cat sat in the hat the cat with the hat We’ll refer to each of these as a text document.

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Two Years In The Life of AI, Machine Learning, Deep Learning and Java

KDnuggets

Where does Java stand in the world of artificial intelligence, machine learning, and deep learning? Learn more about how to do these things in Java, and the libraries and frameworks to use.

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A Comprehensive Guide to Attention Mechanism in Deep Learning for Everyone

Analytics Vidhya

Overview The attention mechanism has changed the way we work with deep learning algorithms Fields like Natural Language Processing (NLP) and even Computer Vision. The post A Comprehensive Guide to Attention Mechanism in Deep Learning for Everyone appeared first on Analytics Vidhya.

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This NY based AI Startup Wants Amy & Andrew to Take Care of Meeting Schedules. Would You Sign Up?

Dataconomy

Here is a look at an AI startup that raised $44.3 million in venture capital funding and built a product that has a vision to not only scheduling a “time” for meetings but also take care of every little detail that comes along. Find out how intelligent these AI assistants. The post This NY based AI Startup Wants Amy & Andrew to Take Care of Meeting Schedules.

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Improving the Accuracy of Generative AI Systems: A Structured Approach

Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage

When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.

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Grow Your Business with these Big Data Strategies

Data Science 101

[ Image source ]. We are living in the data-driven world where every industry be it healthcare, finance, omnichannel retail, agriculture, logistics and much more runs on data. The data is one of the key essentials for increasing revenues and cost savings. Data can be considered as a tool that is banked on by the organizations for making smarter decisions and it is necessary to survive in these competitive markets.

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Big Data Yields Important Insights On Student Loan Forgiveness

Smart Data Collective

Big data is transforming many facets of our lives. One of the ways consumers are looking to big data is with the student loan crisis. Big data advances could also make the government more understanding with its student loan forgiveness program. Big Data Could Turn the Student Loan Crisis on its Head. There are multiple applications of big data for solving the student loan crisis.

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Tableau + AWS: Accelerating your digital transformation with Modern Cloud Analytics

Tableau

Jason Dudek. Senior Partner Development Manager. Kevin Glover. Director, Product Management, Tableau. Spencer Czapiewski. November 25, 2019 - 4:39am. November 22, 2022. According to IDC research , analytics spending on the cloud is growing eight times faster than other deployment types.* Having a comprehensive technology stack in the cloud can support the data integration, self-service analytics, and use cases that businesses need to digitally transform and achieve analytics at scale.

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How to Speed up Pandas by 4x with one line of code

KDnuggets

While Pandas is the library for data processing in Python, it isn't really built for speed. Learn more about the new library, Modin, developed to distribute Pandas' computation to speedup your data prep.

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.