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.
Corinium
MARCH 23, 2020
Scaling AI capabilities across an entire organization is the best way to unleash the technology’s true potential to drive ROI. AI will add more than $13 trillion to the global economy over the next decade according to Harvard Business Review. Yet, the majority of organizations struggle to get the most out of their AI initiatives.
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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!
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.
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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.
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.
Juice Analytics
MARCH 23, 2020
With much of the world switching gears to remote working due to the coronavirus pandemic, we know how difficult this transition can be. As Juice employees are all working remotely indefinitely, we had some great discussions about how best to do your jobs in a new environment. Here are a dozen tips from our team that came out of those discussions: Open up your windows, let all the natural light come in.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Smart Data Collective
MARCH 24, 2020
Big data is changing the direction of our economy in unprecedented ways. Every business should look for ways to monetize big data and use it to optimize your business model. The number of companies using big data is growing at an accelerated rate. One poll found that 53% of businesses were using big data analytics in 2017. This figure has presumably risen in the years since.
Analytics Vidhya
MARCH 22, 2020
Google Colab – Now Build Large Deep Learning Models on your Machine! “Memory Error” – that all too familiar dreaded message in Jupyter notebooks. The post Free GPUs for Everyone! Get Started with Google Colab for Machine Learning and Deep Learning appeared first on Analytics Vidhya.
Dataiku
MARCH 26, 2020
The first time we introduced the idea of Technoslavia - the heterogeneous and fragmented picture of the technological world of data infrastructure - was back in 2015. Since then, we’ve updated and re-examined Technoslavia a few times (in 2017 and in 2018). Where are we now at the beginning of a new decade?
KDnuggets
MARCH 23, 2020
TensorFlow Quantum allow data scientists to build machine learning models that work on quantum architectures.
Speaker: Scott Sehlhorst
We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.
Smart Data Collective
MARCH 27, 2020
The auto insurance industry has always relied on data analysis to inform their policies and determine individual rates. With the technology available today, there’s even more data to draw from. The good news is that this new data can help lower your insurance rate. Here is the type of data insurance companies use to measure a client’s potential risk and determine rates.
Analytics Vidhya
MARCH 26, 2020
Unlocking a New World with the Support Vector Regression Algorithm Support Vector Machines (SVM) are popularly and widely used for classification problems in machine. The post Support Vector Regression Tutorial for Machine Learning appeared first on Analytics Vidhya.
DataRobot
MARCH 23, 2020
Data science teams are scrambling to update their models in the wake of extreme and unforeseen worldwide changes brought on by the global COVID-19 pandemic. In the face of these unprecedented events, one of the key concerns among many data scientists is that their current models could be generating inaccurate or misleading predictions. In the webinar, AI in Turbulent Times: Navigating Changing Conditions , we outlined the steps that data scientists can take to incorporate robustness into their m
KDnuggets
MARCH 25, 2020
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.
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.
Smart Data Collective
MARCH 23, 2020
Big data is driving a number of changes in our lives. Forbes recently wrote an article about the impact of big data on the food and hospitality industry. However, other sectors are changing as well. Big data phenomenon has revolutionized almost every aspect of an average citizen’s life. Information about our online activity has been accumulating for years, and now is actively used to know more about us.
Analytics Vidhya
MARCH 23, 2020
Introduction We are in the midst of a global crisis. The coronavirus, or COVID-19, has officially been declared a pandemic and it is wreaking. The post Coronavirus Analysis: Will Social Distancing Help Prevent the Spread? appeared first on Analytics Vidhya.
IBM Big Data Hub
MARCH 27, 2020
IDC’s report, “ Choosing the Right Database Technology in the Age of Digital Transformation ” highlights the expanse of data management options as well as how that can cause confusion. Having clarity when looking to build new data applications or modernize workloads already in existence is essential.
KDnuggets
MARCH 23, 2020
This is a short introduction to Made With ML, a useful resource for machine learning engineers looking to get ideas for projects to build, and for those looking to share innovative portfolio projects once built.
Speaker: Kevin Kai Wong, President of Emergent Energy Solutions
In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.
FineReport
MARCH 26, 2020
Kenapa Kita Perlu Template Dashboard? Ketika bos anda menyuruh anda untuk menyerahkan laporan, apakah Anda masih memakai Excel sehingga perlu kerja lembur? Mungkin ini adalah saat yang tepat untuk memakai software pembuat laporan untuk meningkatkan efisiensi kinerja melalui template dashboard. Artikel ini akan difokuskan kedalam kenapa Anda perlu sebuah dashboard, cara pengaturannya, dan gimana template dashboard dapat menolong Anda.
Analytics Vidhya
MARCH 24, 2020
The Case for Building Trust in Machine Learning Models There are approximately 1.2 billion vehicles on the roads around the world. Here’s a bamboozling. The post 6 Python Libraries to Interpret Machine Learning Models and Build Trust appeared first on Analytics Vidhya.
Smart Data Collective
MARCH 27, 2020
The supply chain is the source of every part of production. From raw materials to manufacturing to distribution, each step requires the most secure transition possible. Sometimes, though, the supply chain can come with various risks that affect these stages. Security issues arise from these vulnerabilities, and merchandise can be damaged or stolen, leading to more headaches and time-consuming procedures.
IBM Big Data Hub
MARCH 25, 2020
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.
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.
Sisense
MARCH 24, 2020
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.
FineReport
MARCH 21, 2020
Do you have the same problem with daily, weekly, or monthly reports? I summarized the problems typical with many daily, weekly, and monthly reports I have these years. . The process of data collection is time-consuming. Usually, the data is stored in Excel. Many report styles in the company are the same. But there is still a lot of repetitive work since different departments have separate data with Excel to calculate, accompanied by the tedious formula. .
Smart Data Collective
MARCH 27, 2020
Although exams are an essential part of the academic structure , conducting examinations requires a serious amount of energy, money, infrastructure, and manpower. It is a stressful time for students and teachers alike and involves a lot of steps- from creating and printing the question papers to correcting answer scripts for the results to be published.
erwin
MARCH 24, 2020
In these challenging times, many of our customers are focused on disaster recovery and business contingency planning. Disaster recovery is not just an event but an entire process defined as identifying, preventing and restoring a loss of technology involving a high-availability, high-value asset in which services and data are in serious jeopardy. Technical teams charged with maintaining and executing these processes require detailed tasks, and business process modeling is integral to their docum
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.
Sisense
MARCH 26, 2020
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.
KDnuggets
MARCH 25, 2020
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.
Peter James Thomas
MARCH 23, 2020
The author, working from home together with his Executive Assistant. © Jennifer Thomas Photography – view full photo. When I occasionally re-read articles I penned back in 2009 or 210, I’m often struck that – no matter how many things have undeniably changed over the intervening years in the data arena – there are some seemingly eternal verities.
bridgei2i
MARCH 27, 2020
PODCAST: AI for the Digital Enterprise. Episode 4: The Changing Colour of Innovation. Listening time: 11 minutes. The Changing Colour of Innovation. In the 4th episode of the series, Host Aruna Babu talks to Pritam Kanti Paul – CTO and Co-Founder of BRIDGEi2i Analytics Solutions about the pace and scale of innovation in an AI-led world. Tune in to hear Pritam’s thoughts on the consumerization of AI, the importance of leveraging the right building blocks to solve different kinds of problems, and
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Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.
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