Analytics Vidhya
NOVEMBER 19, 2020
Overview Understanding the need for Apache Airflow and its components We will create our first DAG to get live cricket scores using Apache Airflow. The post Data Engineering 101 – Getting Started with Apache Airflow appeared first on Analytics Vidhya.
Corinium
NOVEMBER 18, 2020
Delivering a great CX is among many business leaders' top priorities, but it's hard to know where to devote time and resources to make it happen. To help businesses plan accordingly, Zendesk partnered with ESG Research to build a framework around CX maturity and CX success. The findings for companies based in ANZ and APAC are summarized in our report.
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TDAN
NOVEMBER 17, 2020
Top-quality data currently represents one of the most important resources for any company. This is especially true for young businesses that don’t have much experience in their market and that still don’t know enough about their customers. Startups that lack familiarity with important tendencies and trends in their industry need to have this crucial data […].
Smart Data Collective
NOVEMBER 18, 2020
The Data Scientist profession today is often considered to be one of the most promising and lucrative. The Bureau of Labor Statistics estimates that the number of data scientists will increase from 32,700 to 37,700 between 2019 and 2029. Unfortunately, despite the growing interest in big data careers, many people don’t know how to pursue them properly.
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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
Analytics Vidhya
NOVEMBER 18, 2020
Overview Know which are the top 13 data science libraries in python Find suitable resources to learn about these python libraries for data science. The post Top 13 Python Libraries Every Data science Aspirant Must know! (and their Resources) appeared first on Analytics Vidhya.
Domino Data Lab
NOVEMBER 17, 2020
Guest Post by Bill Shannon, Founder and Managing Partner of BioRankings. Introduction. High throughput screening technologies have been developed to measure all the molecules of interest in a sample in a single experiment (e.g., the entire genome, the amounts of metabolites, the composition of the microbiome). These technologies have been described as the ‘universal detection’ of molecules in cells, tissue, or organisms in an unbiased and un-targeted way [1].
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
NOVEMBER 18, 2020
The market for big data is surging. It is expected to be worth $274 billion within the next two years. The increasing demand for big data is not surprising. We are living at a time when there is heavy reliance on big data, which often comes from online information. Due to the benefits online data provides, you should strive even more to find or share factual information.
Analytics Vidhya
NOVEMBER 16, 2020
Introduction Extracting knowledge from the data has always been an important task, especially when we want to make a decision based on data. But. The post Introduction to Clustering in Python for Beginners in Data Science appeared first on Analytics Vidhya.
Dataiku
NOVEMBER 17, 2020
In the previous posts in the How They Work (in Plain English!) series, we went through a high-level overview of machine learning and have explored two key categories of supervised learning algorithms — linear and tree-based models — and two key unsupervised learning techniques, clustering and dimensionality reduction. Today we’ll dive into recommendation engines, which can use either supervised or unsupervised learning.
Cloudera
NOVEMBER 19, 2020
November 15-21 marks International Fraud Awareness Week – but for many in government, that’s every week. From bogus benefits claims to fraudulent network activity, fraud in all its forms represents a significant threat to government at all levels. Some experts estimate the U.S. government loses nearly 150 billion dollars due to potential fraud each year, McKinsey & Company reports.
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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
Smart Data Collective
NOVEMBER 18, 2020
Big data is helping companies in every industry boost productivity in a number of ways. One way that they can use big data to improve productivity is by creating a set of employee conduct and performance guidelines that will help them keep their employees on track. They can solidify their policies in an employee handbook after using big data to determine the best approach.
Analytics Vidhya
NOVEMBER 20, 2020
Overview Understand the attention mechanism for image caption generation Implement attention mechanism to generate caption in python Introduction The attention mechanism is a. The post A Hands-on Tutorial to Learn Attention Mechanism For Image Caption Generation in Python appeared first on Analytics Vidhya.
DataCamp
NOVEMBER 17, 2020
Financial institutions can seamlessly integrate digital technologies with data-driven insights.
Cloudera
NOVEMBER 17, 2020
One of the many areas where machine learning has made a large difference for enterprise business is in the ability to make accurate predictions in the realm of fraud detection. Knowing that a transaction is fraudulent is a critical requirement for financial services companies, but knowing that a transaction that was flagged by a rules-based system as fraudulent is a valid transaction, can be equally important.
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📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.
Smart Data Collective
NOVEMBER 19, 2020
Artificial intelligence is at the forefront of the digital revolution. One of the most important ways that AI is transforming our lives is through cybersecurity. AI has created both new benefits and challenges with cybersecurity, since both ethical and black hat hackers are using it to their advantage. You need to know about the top cybersecurity trends in 2021 and how companies can safeguard their official data from hackers & other cyber goons.
Analytics Vidhya
NOVEMBER 17, 2020
Overview Understand the integration of PySpark in Google Colab We’ll also look at how to perform Data Exploration with PySpark in Google Colab. The post A Must-Read Guide on How to Work with PySpark on Google Colab for Data Scientists! appeared first on Analytics Vidhya.
The Unofficial Google Data Science Blog
NOVEMBER 17, 2020
by TAMAN NARAYAN & SEN ZHAO A data scientist is often in possession of domain knowledge which she cannot easily apply to the structure of the model. On the one hand, basic statistical models (e.g. linear regression, trees) can be too rigid in their functional forms. On the other hand, sophisticated machine learning models are flexible in their form but not easy to control.
Cloudera
NOVEMBER 16, 2020
Well, it is International Fraud Awareness Week, focused on promoting fraud prevention and education. A fantastic initiative! Maybe I am naïve but I feel a bit sad that there is a need for “fraud week”. The insurance industry has a long and intimate relationship with fraud in many different ways. Insurance fraud can take place at a process or business function level, most notably in claims or underwriting.
Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com
Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.
Smart Data Collective
NOVEMBER 19, 2020
Data is one of the most valued assets for the businesses today. And since every aspect of the organization creates data, which is relevant to the businesses to understand the whys and whens in the processes, companies are in a rush to gain the ability to capitalize on what data has to offer. This capturing of value from the data and to present it in a readable, understandable format for the non-experts to implement the insight are still a challenge.
Analytics Vidhya
NOVEMBER 20, 2020
Overview Here is a list of 5 Data Science Career Related Webinars Feel free to add other data science career webinars in the comments. The post Want to Build a Career in Data Science? Learn from these 5 Data Science Videos! appeared first on Analytics Vidhya.
Jet Global
NOVEMBER 19, 2020
This article is part of our multi-part series about the challenges that CFOs face going into 2021. Please be sure to check back for other posts in the series coming soon. 2020 brought with it a series of events that have increased volatility and risk for most businesses. Even before the coronavirus disrupted supply chains and shifted priorities, business leaders understood the need to identify and monitor the factors that could have an impact on their enterprises.
Cloudera
NOVEMBER 18, 2020
Fraud awareness in the Financial Services industry is more important than ever. According to the September 2020 benchmarking report conducted by the Association of Certified Fraud Examiners (ACFE) in response to the coronavirus, 77% of survey respondents, representing a range of industries, have observed an increase in the overall level of fraud as of August, compared with 68% in May.
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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.
Smart Data Collective
NOVEMBER 17, 2020
Big data is changing the dynamics of the consumer experience in countless ways. One variable that we don’t think as much about is the nature of our Internet service in the big data era. Back in July, we talked about ways that Internet service providers are using big data to provide a better customer experience. The general infrastructure of the Internet may not have changed much, but the services that customers depend on has changed a bit in a world governed by big data.
Analytics Vidhya
NOVEMBER 19, 2020
Introduction “I think one of the nice things about the data science field is that it is so multi-disciplinary and that anyone who aspires. The post Exclusive Interview with 2x Kaggle Master Gilles Vandewiele! appeared first on Analytics Vidhya.
erwin
NOVEMBER 19, 2020
erwin has once again been positioned as a Leader in the Gartner “2020 Magic Quadrant for Metadata Management Solutions.”. This year, erwin had the largest move of any player on the Quadrant and moved up significantly in terms of “Ability to Execute” and also in “Vision.”. This recognition affirms our efforts in developing an integrated platform for enterprise modeling and data intelligence to support data governance, digital transformation and any other effort that relies on data for favorable o
Cloudera
NOVEMBER 17, 2020
Meet Teresa Morris! A 3.5 year Clouderan working as a Sr. Manager, Technical Partner Support. Her role entails building and managing support partnerships – it’s one she finds rewarding. “It’s not a one project kind of thing, it’s a whole experience of managing partnerships that bring more business. Being a part of a digital transformation and all the things that drive customers experience is so fulfilling.” .
Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
Paul Turley
NOVEMBER 17, 2020
Part of the the series: Doing Power BI the Right Way Back in the day, when we created BI solutions, reports and data models were separate. If you created a cube or Tabular model with Analysis Services, it was developed with Visual Studio and deployed to a server.
Analytics Vidhya
NOVEMBER 17, 2020
“Ignore the gatekeepers who expect you to have a Ph.D. A relevant study can be more useful than a Ph.D.” – Ahmet Erdem Golden. The post Kaggle Grandmaster Series – Exclusive Interview with Kaggle Rank #8 and Competitions Grandmaster Ahmet Erdem appeared first on Analytics Vidhya.
Insight
NOVEMBER 17, 2020
A strategy to determine the long-term aggregate behavior of an app user based on limited short-term information. Continue reading on Insight ».
Jet Global
NOVEMBER 16, 2020
Scenario planning is an increasingly important way for multinational enterprises to operate effectively in an uncertain and unpredictable world. It helps them to react to small and large market fluctuations in the most cost-effective and strategic manner, modelling ”what-if” situations according to both known and unknown information. Rapid advances in technology are helping to transform the way organizations carry out scenario planning, allowing them to adapt a continuous planning mindset to oth
Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network
In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.
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