Analytics Vidhya
SEPTEMBER 30, 2020
This article was published as a part of the Data Science Blogathon. Introduction The first step towards problem-solving in data science projects isn’t about. The post Hypothesis Generation for Data Science Projects – A Critical Problem Solving Step appeared first on Analytics Vidhya.
Dataconomy
SEPTEMBER 10, 2020
As the number of Covid-19 cases continues to rise around the world, many businesses are eager to get back to work and try to make up for the lost time. With the first signs of the pandemic subduing, we’ve seen organizations rush their staff back to the office, deploying different. The post Contact Trace Me If You Can: Muzzle Your Data To Ensure Compliance appeared first on Dataconomy.
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Smart Data Collective
SEPTEMBER 21, 2020
Two or three decades ago, gathering data was the biggest challenge businesses faced. Leaders craved more information and access. Today, these same companies are drowning in data. The challenge of today is organizing and making sense of the data. 4 Tips to Help You Make Sense of Your Data. With so much emphasis on collecting and accessing data, it’s easy to become so paralyzed by information that you fail to do anything with it.
Eugene Yan
SEPTEMBER 19, 2020
For years I've refined my routines and found tools to manage my time. Here I share it with readers.
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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?
Kaggle
SEPTEMBER 9, 2020
Here at Kaggle we’re excited to showcase the work of our Grandmasters. This post was written by Vladimir Iglovikov, and is filled with advice that he wishes someone had shared when he was active on Kaggle. The original post can be found on Vlad’s Ternaus Blog. Introduction I participated in machine learning (ML) competitions at Kaggle and other platforms to build machine learning muscles.
Alation
SEPTEMBER 17, 2020
The post Alation + Looker: Trusted, Modern Analytics — Perfect for the Cloud appeared first on Alation.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Dataconomy
SEPTEMBER 10, 2020
Whether you are experienced or thinking about getting into Data science, in this guide you will find out: Which cities top the chart when it comes to the highest data scientist salary available? Do Data Scientists like working with startups? Do they want to stick to a job for more. The post A Guide to Your Future Data Scientist Salary appeared first on Dataconomy.
Smart Data Collective
SEPTEMBER 17, 2020
Nowadays, terms like ‘Data Analytics,’ ‘Data Visualization,’ and ‘Big Data’ have become quite popular. These terms are fundamentally tied predominantly to matters involving digital transformation as well as growth in companies. In this modern age, each business entity is driven by data. Data analytics are now very crucial whenever there is a decision-making process involved.
Eugene Yan
SEPTEMBER 26, 2020
Emphasis on bias, more sequential models & bandits, robust offline evaluation, and recsys in the wild.
DataCentric podcast
SEPTEMBER 28, 2020
What is it about HCI that enterprise IT likes so much? On this episode David Wang, HPE's director of storage marketing, drops in to talk to hosts Matt Kimball and Steve McDowell about why HCI is compelling, and how the different flavors of HCI address a range of needs in the enterprise, whether on the edge or in the core. HPE is in an interesting place with HCI.
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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.
Depends on the Definition
SEPTEMBER 24, 2020
Language models gained popularity in NLP in the recent years. Sometimes you might have enough data and want to train a language model like BERT or RoBERTa from scratch. While there are many tutorials about tokenization and on how to train the model, there is not much information about how to load the data into the model. This guide aims to close this gap.
Analytics Vidhya
SEPTEMBER 21, 2020
Overview NoSQL databases are ubiquitous in the industry – a data scientist is expected to be familiar with these databases Here, we will see. The post 5 Popular NoSQL Databases Every Data Science Professional Should Know About appeared first on Analytics Vidhya.
Dataconomy
SEPTEMBER 10, 2020
If you are a Data Scientist wondering what companies could have the most career opportunities or an employer looking to hire the best data science talent but aren’t sure what titles to use in your job listings — a recent report using Diffbot’s Knowledge Graph could hold some answers for. The post Three Trends in Data Science Jobs You Should Know appeared first on Dataconomy.
Smart Data Collective
SEPTEMBER 23, 2020
The concept of cryptocurrency is still foreign to so many in the United States and around the world. There is a lot more mass appeal of cryptocurrencies like Bitcoin, Litecoin, and others. Generally speaking, though, they are still mysterious in the eyes of the common individual. In the cryptocurrency market, we are starting to see the emergency and convergence of crypto and big data analytics.
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.
Eugene Yan
SEPTEMBER 2, 2020
My chat with James Le about my experience, leadership, agile, ML in production, writing, and more.
DataCentric podcast
SEPTEMBER 10, 2020
Supercomputing has left the lab and is fast becoming a mainstream enterprise IT capability, whether we're talking about a dedicated compute cluster, or HPC-as-a-service. These capabilities are driving everything from COVID-19 modelling to video-analytics at the retail edge to deliver "frictionless retail" There's nobody better to talk to us about this market than Penguin Computing.
Alation
SEPTEMBER 1, 2020
The post What is CDO 4.0? — A CDO’s Perspective appeared first on Alation.
Analytics Vidhya
SEPTEMBER 16, 2020
Introduction Monitoring of user activities performed by local administrators is always a challenge for SOC analysts and security professionals. Most of the security framework. The post Machine Learning in Cyber Security — Malicious Software Installation 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.
DeepMind
SEPTEMBER 2, 2020
By partnering with Google, DeepMind is able to bring the benefits of AI to billions of people all over the world. From reuniting a speech-impaired user with his original voice, to helping users discover personalised apps, we can apply breakthrough research to immediate real-world problems at a Google scale. Today we’re delighted to share the results of our latest partnership, delivering a truly global impact for the more than one billion people that use Google Maps.
Smart Data Collective
SEPTEMBER 14, 2020
There is a common misconception prevalent amongst businesses that cyberattacks , and data breaches only target large scale enterprises. This is not true as almost half of the cyberattacks target small to midsize businesses. This misconception prevents businesses from taking data breaches and cybersecurity attacks seriously. They not only ignore it but also do nothing to protect themselves from it.
Eugene Yan
SEPTEMBER 5, 2020
Checking for correct implementation, expected learned behaviour, and satisfactory performance.
Data Science 101
SEPTEMBER 4, 2020
The post Going Live to Grow Your Business – An Interview with Lindy Chapman appeared first on Ryan Swanstrom.
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.
Twilio Segment
SEPTEMBER 15, 2020
Today, we're releasing kubeapply, a lightweight tool for git-based management of Kubernetes configs. Here's why.
Analytics Vidhya
SEPTEMBER 17, 2020
Introduction A virtual assistant, also called an AI assistant or digital assistant, is an application program that understands natural language voice commands and completes. The post How to create your AI Virtual Assistant using Python appeared first on Analytics Vidhya.
Alation
SEPTEMBER 2, 2020
The post MIT CDOIQ Video: The Data Catalog as a Platform for Data Intelligence appeared first on Alation.
Smart Data Collective
SEPTEMBER 1, 2020
Data analytics is becoming a critical component of modern SEO. We have previously identified the benefits of big data in SEO strategies. However, we thought it was time to talk about a more specific application of data analytics in SEO. Data analytics can be extremely useful for finding long-tail keywords for search engine marketing. Whether you intend to use data analytics for paid or organic search marketing, data analytics can help you find keywords that have the least competition and highest
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.
Eugene Yan
SEPTEMBER 20, 2020
What's an average day like? What's great about the role? How's working in Amazon?
DataCentric podcast
SEPTEMBER 4, 2020
It's been a big couple of weeks of earnings from all of the major enterprise infrastructure market players, including NetApp, Pure Storage, Dell Technologies, and Hewlett Packard Enterprise. IBM, Cisco, Lenovo and others all disclosed earlier last month. On the software-defined side, there's Vmware, Nutanix, and a whole lot of Bain Capital. High-end kit is up, mid-range everything (servers & storage) are soft, while as-a-service & software-defined all seem to be solid.
Twilio Segment
SEPTEMBER 7, 2020
Today we’re excited to announce the launch of Segment Data Lakes, a new turnkey customer data lake that provides the data engineering foundation needed to power data science and advanced analytics use cases.
Analytics Vidhya
SEPTEMBER 9, 2020
In this article, we bust 11 common myths people have about data science. We have divided the myths into career, tools and role related categories. The post Busted! 11 Data Science Myths You Should Avoid at All Costs 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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