Analytics Vidhya
FEBRUARY 16, 2020
Overview Check out 3 different types of neural networks in deep learning Understand when to use which type of neural network for solving a. The post CNN vs. RNN vs. MLP – Analyzing 3 Types of Neural Networks in Deep 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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DataRobot
FEBRUARY 26, 2020
The Coronavirus has infected nearly 80,000 people worldwide, resulting in some 2,500 fatalities. As this deadly contagion continues spreading from its origins in Wuhan, China, policymakers worldwide are scrambling to figure out how to contain it.
Data Science 101
FEBRUARY 27, 2020
Data Science 101 is honored to present the Global Women in Data Science 2020 livestream. This is the fifth annual global conference which features “outstanding women doing outstanding data science work in academia, industry, government, and non-profits.” The livestream is free and it begins March 2, 2020 at 9am PST. The livestream will be available during the live event.
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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?
Machine Learning (Theory)
FEBRUARY 23, 2020
I’ve been following the renamed COVID-19 epidemic closely since potential exponentials deserve that kind of attention. The last few days have convinced me it’s a good idea to start making contingency plans for machine learning conferences like ICML. The plausible options happen to be structurally aligned with calls to enable reduced travel to machine learning conferences , but of course the need is much more immediate.
Smart Data Collective
FEBRUARY 21, 2020
The accessibility and value of consumer data has grown substantially in the past several years. These days, nearly every company bigger than a “mom and pop” shop works to gather and analyze terabytes of data from their customers, hoping to better understand and serve them while one-upping the competition. In the financial industry, these efforts are particularly intense.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Dataconomy
FEBRUARY 12, 2020
It’s not a lack of data that’s holding companies back from digital transformation. Data is pouring in from more sources than ever. It’s not that analytics aren’t available. Businesses have access to rich descriptive analytics to build profiles that answer the “who” questions and diagnostic analytics to answer the “why”. The post Translating Data into Action to Close the Digital Transformation Gap appeared first on Dataconomy.
DataRobot
FEBRUARY 18, 2020
We at DataRobot have been enjoying building models to predict various sporting events around the world. However, it’s been pointed out to me that we have shown a bias for covering North American events so far. Several colleagues in Europe asked when we were going to predict the world’s most popular game, football. So I enlisted Chloe and Akshay to help me and see if we could predict the Champions League Knockout Stage and the eventual Champions League winner.
Data Science 101
FEBRUARY 15, 2020
Welcome to Cloud Data Science 7. Announcements around an exciting new open-source deep learning library, a new data challenge and more. News. Microsoft Releases DeepSpeed for Training very large Models DeepSpeed is a new open-source library for deep learning optimization. Using a component of the library named ZeRO, it can train models with up to 100 billion parameters.
Alation
FEBRUARY 13, 2020
Modern organizations are always looking for a competitive edge in this rapidly changing era of digital transformations. With research showing that a more diverse team leads to increased revenue, “diversity and inclusion” is on every company’s agenda. Despite this fact, it’s been no secret that tech companies regularly fall below the national average when it comes to diversity of race, gender, and educational background.
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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.
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 19, 2020
Overview MongoDB is a popular unstructured database that data scientists should be aware of We will discuss how you can work with a MongoDB. The post MongoDB in Python Tutorial for Beginners (using PyMongo) appeared first on Analytics Vidhya.
Dataconomy
FEBRUARY 21, 2020
Data professionals across industries recognize they must effectively harness data for their businesses to innovate and gain competitive advantage. High quality, reliable data forms the backbone for all successful data endeavors, from reporting and analytics to machine learning. Delta Lake is an open-source storage layer that solves many concerns around data.
DataRobot
FEBRUARY 13, 2020
We are excited to announce the first round of program participants in AI for Good: Powered by DataRobot. Welcome Kiva International, DonorsChoose, University of California San Francisco’s Brain and Spinal Injury Center, Anacostia Riverkeeper, and Medical Faculty Mannheim - Heidelberg University to the DataRobot family! We look forward to providing updates on their AI-driven humanitarian use cases throughout the year.
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.
Data Science 101
FEBRUARY 29, 2020
Lots of announcements this week, so without delay, let’s get right to Cloud Data Science 9. News. Google Announces Cloud SQL for Microsoft SQL Server Google’s Cloud SQL now supports SQL Server in addition to PostgreSQL and MySQL Google Opens a new Cloud Region Located in Salt Lake City, Utah, it is named us-west3. They are promoting it as the Silicon Slopes region, so that is good news if you or your customers are near that location.
Alation
FEBRUARY 13, 2020
Incentive Trips: These two words provoke vastly different feelings from different people. Traditionally, incentive trips were exclusively for sales people and executives. They would go to an exotic locale, get a little bit of sun, and celebrate their big wins. Incentive trips were a reward for being top sellers and leading the company. Simple enough.
Smart Data Collective
FEBRUARY 21, 2020
Many careers have been heavily impacted by changes in big data. The big data revolution has had a profound effect on healthcare, marketing and many other fields. One of the fields that has been most affected by big data is electrical engineering. Tom Dietterich, a professor of the Department of Electrical Engineering and Computer Science at Portland State University, has written an article on the impact of big data in this field.
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.
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.
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.
DataRobot
FEBRUARY 26, 2020
HIMSS20 is around the corner and, like most, I am contemplating the conversations I will have there and am reflecting on the impact of AI on the future of healthcare.
Data Science 101
FEBRUARY 22, 2020
Welcome to Cloud Data Science 8. This weeks news includes information about AWS working with Azure, time-series, detecting text in videos and more. News. Amazon Redshift now supports Authentication with Microsoft Azure AD Redshift, a data warehouse, from Amazon now integrates with Azure Active Directory for login. This continues a trend of cloud companies working together.
Eugene Yan
FEBRUARY 26, 2020
How hard work, many failures, and a bit of luck got me into the field and up the ladder.
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.
Smart Data Collective
FEBRUARY 20, 2020
Big data is changing the nature of invoicing software in many ways. In 2015, Spend Matters wrote a detailed report on the applications of big data in the e-invoicing industry. This has changed the perception business owners had of invoicing applications, because they often ignored the benefits of it before then. Big Data Transforms Invoicing Software Applications.
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.
Dataconomy
FEBRUARY 19, 2020
What is a VPN? How is it used? Why is it needed now more than ever before? Read on. Do you want to protect your online identity, stay safe on public wifi or bypass censorship on the internet? Then this article is for you. First a little background on how. The post Three VPN use cases you should know about appeared first on Dataconomy.
DataRobot
FEBRUARY 12, 2020
Predictive models learn patterns in training data and use that information to predict target values for new data. There are two data sets at play in this process, the training data and the scoring or inference data. The model will work well in production (i.e., produce accurate predictions in line with expectations) when the new inference data is similar to the training data.
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
FEBRUARY 28, 2020
Microsoft has just announced the end of some long standing certifications. The following Microsoft certifications are set to retire in 2020. Microsoft Certified Solutions Associate (MCSA) Microsoft Certified Solutions Expert (MCSE) Microsoft Certified Solutions Developer (MCSD). In addition to the certifications going away, the related exams will also be retired.
Alation
FEBRUARY 10, 2020
Next week we’re headed to the annual Gartner Data & Analytics Summit in Sydney, Australia and we’re doing something a bit different at our booth! If you’ve been keeping up with the news, you’ve heard about the destructive bushfires that have burned more than 27.2 million acres across Australia. As a California-based company, we’ve witnessed […].
Smart Data Collective
FEBRUARY 19, 2020
Injection molding is vital to the mass production of plastics and plastic products. Due to the variety of complications with mold design and mold manufacturing, and the combining of plastics and molding machines, there is difficulty in molding products with high quality and precision. However, Big Data and Cloud technology make the process simpler and improve quality.
Analytics Vidhya
FEBRUARY 12, 2020
How many boosting algorithms do you know? Can you name at least two boosting algorithms in machine learning? Boosting algorithms have been around for. The post 4 Boosting Algorithms You Should Know – GBM, XGBM, XGBoost & CatBoost appeared first on Analytics Vidhya.
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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.
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