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 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
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.
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
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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?
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 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.
DataRobot
FEBRUARY 7, 2020
This blog is meant to be a fun and unique take on predicting Best Picture for the 92nd Academy Awards.
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.
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?
Smart Data Collective
FEBRUARY 4, 2020
Improving human health, longevity, and satisfaction are some of the primary purposes of technology. At first glance, artificial intelligence may feel like a step away from our humanity. But what if it could make us more observant, better able to find hidden connections , and more efficient as we explore the unknown? Drug discovery and clinical trials are just one application area for AI, but it’s a deserving and impactful one.
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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.
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?
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 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: 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.
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.
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?
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: 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.
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.
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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