Analytics Vidhya
FEBRUARY 6, 2020
The Challenge of Underfitting and Overfitting in Machine Learning You’ll inevitably face this question in a data scientist interview: Can you explain what is. The post Underfitting vs. Overfitting (vs. Best Fitting) in Machine Learning appeared first on Analytics Vidhya.
Dataconomy
FEBRUARY 6, 2020
Which cities top the chart when it comes to highest salaries in Europe for Data Scientists? Do Data Scientists like working with startups? Do they want to stick to a job for more than a couple of years? Read on. The Data Scientist is often a storyteller presenting data insights. The post What’s happening with Data Scientist Jobs and Salaries in Europe?
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Smart Data Collective
FEBRUARY 6, 2020
Big data is changing the world in tremendous ways. One of the areas where big data is having the largest effect is with software development. A growing number of DevOps platforms are using new data analytics and machine learning tools to boost performance. Docker is one of them. The Role of Big Data with Docker for Software Development. Enterprises around the world have recently gained interest in Docker.
DataRobot
FEBRUARY 7, 2020
This blog is meant to be a fun and unique take on predicting Best Picture for the 92nd Academy Awards.
Speaker: Tamara Fingerlin, Developer Advocate
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
Analytics Vidhya
FEBRUARY 5, 2020
Overview Relational databases are ubiquitous, but what happens when you need to scale your infrastructure? We will discuss the role Spark SQL plays in. The post Hands-On Tutorial to Analyze Data using Spark SQL appeared first on Analytics Vidhya.
Dataconomy
FEBRUARY 4, 2020
Will there be any data-transfer or migration complications post-Brexit? If yes, here is how you could avoid them. Since 2016, the United Kingdom and the European Union have braced for the looming Brexit, or the British exit from the EU. Departure deadlines have been set and extensions have been made. The post Bracing for Brexit: Best Practices for Data Migration in Wake of 2020 Brexit appeared first on Dataconomy.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Data Science 101
FEBRUARY 7, 2020
All the large cloud providers had some announcements this past week, plus a global artificial intelligence organization had some news to share. News. Azure Stream Analytics Anomaly Detection Azure Stream Analytics now has built-in anomaly detection capabilities. You no longer need to build and train your own custom anomaly detection model. Azure IoT Cental has updated pricing Azure Cognitive Services Translator supports new languages Irish, Punjabi, Malayalam, Kannada, and Portuguese Google Clou
Analytics Vidhya
FEBRUARY 2, 2020
Overview Start 2020 on the right note with these 5 challenging open-source machine learning projects These machine learning projects cover a diverse range of. The post 5 Open Source Machine Learning Projects to Challenge your Inner Data Scientist appeared first on Analytics Vidhya.
DataRobot
FEBRUARY 6, 2020
What are SHAP values and how are they being used to explain machine learning predictions?
Smart Data Collective
FEBRUARY 5, 2020
Artificial intelligence is slowly working its way into everything. One of the newest iterations is AI-driven email marketing. Many companies are already using this and you may not have noticed. That’s because these programs are undetectable unless you know what to look for and they are highly relevant to your interests. Using AI allows you to better segment your market and it can help signal when someone is prepared to sign.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
Explosion
FEBRUARY 7, 2020
The data community came to Python for the language, and stayed for each other – once it got critical mass, it’s the ecosystem that counts. We’ve been proud to be part of that. So what does the future hold for NLP in Python?
Analytics Vidhya
FEBRUARY 4, 2020
The Challenge of Merging Multiple Dataframes in Python Here’s a scenario that trips up almost every fresher and aspiring data scientist: You are working. The post How to Join Multiple Dataframes in Python appeared first on Analytics Vidhya.
DataRobot
FEBRUARY 4, 2020
Retail banks realize they need to embrace AI and automated machine learning in order to stay competitive. Banks are under pressure from new technology-enabled competitors, increasing regulatory requirements, the pressure to simplify the client experience, and the need to reduce costs.
Smart Data Collective
FEBRUARY 4, 2020
The market for machine learning is projected to reach $20.8 billion by 2024. It is unbelievable that it was only worth $1.6 billion back in 2017. This means that the market has been growing around 45% a year over the course of a decade. The rapid growth in the machine learning market is largely attributed to the growing list of applications for it. Machine learning is being leveraged in every industry from healthcare to criminal justice.
Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives
Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri
Explosion
FEBRUARY 7, 2020
Karo and Ines talked about getting into tech and machine learning, and what’s next for spaCy and our other tools.
Analytics Vidhya
FEBRUARY 4, 2020
Introduction Most Kaggle-like machine learning hackathons miss a core aspect of a machine learning workflow – preparing an offline evaluation environment while building an. The post How to Create a Test Set to Approximate Business Metrics Offline appeared first on Analytics Vidhya.
Alation
FEBRUARY 5, 2020
It seems like every time we think we have grasped a new technology and the need for it, something shifts in the landscape. Sometimes that shift is an incremental improvement in the technology itself that ostensibly enhances the original version. Other times that something is a radical shift that changes the nature of the technology […]. The post What in the World is an Augmented Data Catalog?
DataCentric podcast
FEBRUARY 6, 2020
It's been a busy few weeks on the earnings front, as Intel blows away all estimates, AMD does well enough, and the cloud wars continue to rage with Google Cloud, Amazon AWS, and Microsoft Azure. That, and both VMware and Cisco are back in the news. What's it all mean? Tune in and find out. 01:50 Is the VMWare multi-core license change really a big deal?
Speaker: Frank Taliano
Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.
Smart Data Collective
FEBRUARY 6, 2020
I had an interesting encounter at a young professionals’ group the other day. I ran into the head of an analytics company with a lot of experience in big data. When I talk to people from analytics companies, they usually emphasize the technical aspects of their profession. This man was different. He talked extensively about the types of clients he worked with the most.
Analytics Vidhya
FEBRUARY 3, 2020
Introduction Did you know that the Indian cricket team relies heavily on data analytics to decide their strategy for an upcoming match? Batsmen are. The post Who is the Best IPL Batsman to Bat with? Finding the Answer with Network Analysis appeared first on Analytics Vidhya.
DataCentric podcast
FEBRUARY 3, 2020
Scale Computing is a pioneer in HCI (inventing, in fact, the very term). The company has just come off a record year demonstrating 90% growth. They also recently showed off a full HCI cluster running on an Intel NUC. Scale's CEO and Co-Founder Jeff Ready joins us on this episode of DataCentric, where we talk about: The origins of Scale Computing, and HCI Where HCI fits into enteprise architecture Why HCI is a great fit for the edge, both as it exists today (ROBO, etc), as well as what will b
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