Sat.May 02, 2020 - Fri.May 08, 2020

7 Impressive Scikit-learn Hacks, Tips and Tricks for Data Science

Analytics Vidhya

Overview Scikit-learn, or sklearn, is the Swiss Army Knife of machine learning libraries Learn key sklearn hacks, tips, and tricks to master the library. The post 7 Impressive Scikit-learn Hacks, Tips and Tricks for Data Science appeared first on Analytics Vidhya.

Corinium Meets: Citi Chief Data Scientist Dan Costanza


Dan Costanza, Chief Data Scientist: Banking, Capital Markets and Advisory at Citi, outlines how he’s working to democratize the bank’s data, what’s next for his data strategy and what makes his job is different from other C-Level data roles. What were your greatest professional achievements in 2019? In 2019, our real focus was on increasing engagement with non-data-driven parts of the organization to try to get them to think in a more data-driven fashion. Data and Analytics

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5 ways to use business intelligence software to adapt to the new normal


Phocas customers operate in distribution, manufacturing and retail, so they're always analyzing their data to improve business performance. Covid-19 has impacted everyone; some are experiencing spikes in demand, whereas others have had to pivot exclusively to online sales.

Why You Should Prioritize Data Transformation Above Other Digital Transformation Initiatives


Chance are you’re aiming to invest in a BI and analytics program to capitalize on the big data your company has been acquiring over the years. But before you spend millions on opting for expensive BI programs, take a step back and ask yourself three questions:Do I have data I can trust?Do Do I understand my data?Do Do I have a data transformation & data quality framework in place?A,

Facebook Causes Continue to Show Little Promise as Fundraising Tools

6 Open Source Data Science Projects to Try at Home!

Analytics Vidhya

Overview Work on your data science skills using these open source projects These open-source data science projects cover a broad range of topics, from. The post 6 Open Source Data Science Projects to Try at Home! appeared first on Analytics Vidhya. Beginner Career Github Listicle data science data science lockdown data science projects machine learning open source data science projects open source projects

Data Lakes Meet Data Warehouses

David Menninger's Analyst Perspectives

In this analyst perspective, Dave Menninger takes a look at data lakes. He explains the term “data lake,” describes common use cases and shares his views on some of the latest market trends. He explores the relationship between data warehouses and data lakes and share some of Ventana Research’s findings on the subject. He also provides an assessment of the risks organizations face in working with data lakes and offers recommendations for maximizing the potential of data.

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How Machine Learning for Fraud Detection Works in Different Industries


In a world where there are no absolute security guarantees, any organization could potentially become a victim of fraud. And non-profit companies, too - because data sometimes takes on even more weight than pure money. The more companies come up with protection methods, the more scammers come up with ways to outwit them in return. This is like running in a vicious circle, and the only thing that can break this circle is the ability to predict fraudulent attempts and prevent them.

The Art of Storytelling in Analytics and Data Science | How to Create Data Stories?

Analytics Vidhya

Introduction The idea of storytelling is fascinating; to take an idea or an incident, and turn it into a story. It brings the idea. The post The Art of Storytelling in Analytics and Data Science | How to Create Data Stories? appeared first on Analytics Vidhya. Beginner Business Analytics Data Visualization R Resource Structured Data data visualisation stories analytics story telling storytelling analytics storytelling business analytics storytelling data science tips for data visualization

What does burnout look like?

Jen Stirrup

This is a personal blog and I’m sharing these details here to promote understanding and show empathy during these challenging times. I’m a Microsoft MVP, and have been one for nine years. I’m also a Microsoft Regional Director. I’m also a single mother, a daughter, a friend, and a sister. This past year has been challenging for me in every way possible. Personally, two close family members have gone through cancer and thankfully, beaten it.

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Take stock with inventory management software


Business intelligence is used by many distributors who move and sell lots of product as its inventory management software. It is the tool of choice because inventory and operations managers can carry out inventory planning as well as produce up-to-date reports and dashboards that everyone across the business can access. Job Role - Inventory/Operations decision-making

Intelligent Process Automation: Boosting Bots with AI and Machine Learning

Across all sectors, companies are learning that they can transform their businesses by embracing Intelligent Process Automation, or IPA. With the pairing of AI and RPA, IPA adds a new layer of intelligent decision-making processes to automated RPA tasks. By automating repetitive work, and adding the ability to automate intelligent decision making, intelligent automation frees up your most valuable resources – your employees – to spend more time on higher value and more strategic work. But in order to reap the rewards of Intelligent Process Automation, organizations must first educate themselves and prepare for the adoption of IPA. In our ebook, Intelligent Process Automation: Boosting Bots with AI and Machine Learning.

Here’s How Digital Transformation is Altering the Security Needs of Businesses


Digital transformation has now changed how business is carried out. More number of companies are adopting advanced technologies such as Cloud, IoT, Big Data, Data Analytics, Machine Learning. Businesses today are looking towards Cloud environments for securing their business-critical data. These advanced technologies have forced businesses to ponder over their existing business model again.

Key Takeaways from ICLR 2020 (with a Case Study on PyTorch vs. TensorFlow)

Analytics Vidhya

Introduction I had the pleasure of volunteering for ICLR 2020 last week. ICLR, short for International Conference on Learning Representations, is one of the. The post Key Takeaways from ICLR 2020 (with a Case Study on PyTorch vs. TensorFlow) appeared first on Analytics Vidhya. Conferences Data Exploration Deep Learning Python Research & Technology ICLR ICLR highlights ICLR2020 keras pytorch Tensorboard tensorflow transformers

Azure Data Sources for Data Science and Machine Learning

Jen Stirrup

Recently, I gave a Make Your Data Work Monday webinar on the complexities of the data sources for data science in Azure, and I thought it important enough to turn into an actual post. If you prefer video, you can catch the video here. How can you differentiate the different opportunities to store your data in Azure? Now, it may not sound that interesting, but it’s crucial; if you don’t have your data, then you don’t have your business.

The Difference Between Data Architecture and Enterprise Architecture


Although there is some crossover, there are stark differences between data architecture and enterprise architecture (EA). That’s because data architecture is actually an offshoot of enterprise architecture. In simple terms, EA provides a holistic, enterprise wide overview of an organization’s assets and processes, whereas data architecture gets into the nitty gritty. The difference between data architecture and enterprise architecture can be represented with the Zachman Framework.

Building Like Amazon

Speaker: Leo Zhadanovsky, Principal Solutions Architect, Amazon Web Services

Amazon's journey to its current modern architecture and processes provides insights for all software development leaders. To get there, Amazon focused on decomposing for agility, making critical cultural and operational changes, and creating tools for software delivery. The result was enabling developers to rapidly release and iterate software while maintaining industry-leading standards on security, reliability, and performance. Whether you're developing for a small startup or a large corporation, learning the tools for CI/CD will make your good DevOps team great. We are excited to be joined by Leo Zhadanovsky, a Principal Solutions Architect at Amazon Web Services.

How AI and Machine Learning Are Revolutionizing Software Development


Artificial Intelligence is the hot topic of the 21st century and it continues to amaze us as it demonstrates its impact on almost all industries. Software development is arguably one of the most impacted industries and every aspect of it is being benefited by AI and machine learning technologies. Starting from prediction of project timeline to software delivery estimation and use in bug management tools, code assistance, and testing, AI and ML help programs in various ways.

All you Should Know About Datetime Variables in Python and Pandas

Analytics Vidhya

The Complex yet Powerful World of DateTime in Data Science I still remember coming across my first DateTime variable when I was learning Python. The post All you Should Know About Datetime Variables in Python and Pandas appeared first on Analytics Vidhya. Beginner Libraries Python Structured Data date features datetime feature engineering pandas time features timedelta

Manage enterprise data at scale with IBM Cloud Pak for Data 3.0

IBM Big Data Hub

Data is the fuel, cloud is the vehicle, AI is the destination. The intersection of these three pillars of IT has been the focus of IBM. Through the launch of IBM Cloud Pak for Data , our modern data and AI platform, we have containerized numerous offerings and delivered them as microservices to accelerate client’s journey to AI. Clients have successfully been able to collect, organize and analyze data in order to infuse AI across their business – on any cloud of their choice

10 Skill Yang Perlu Dikuasai Seorang Data Analyst


Setiap hari, kita menjawab pertanyaan tentang skill seorang data analyst. Beberapa orang bertanya kepada saya, ” Saya cuma tahu cara menggunakan Excel dan cara membuat grafik analisis sejak saya mulai. Menurut saya, data analyst nampaknya cuma menganalisis data bisnis dan saya tidak tahu bagaimana cara meningkatkan skill saya.” ” Dari Google. Ini karena dia tidak sepenuhnya menggali nilai dari analisis big data.

6 Steps to Improving Your Application’s Analytics Experience

No one designs bad dashboards and reports on purpose. So why do so many applications have terrible analytics experiences? Download this ebook for secrets to creating dashboards and reports your users will love.

Security Challenges Businesses Face During Covid-19


The rise of COVID-19 has raised new concerns for organizations with respect to security. The rapid spread of this virus has caused many businesses to close down, however, digital businesses are still surviving due to their technological revolution. Since almost all countries are in a complete lockdown situation, businesses are trying to survive online, which makes it more challenging with respect to security.

Business Analytics Assessment Test Results

Analytics Vidhya

You Scored > 50 Basis your assessment score – we recommend you to join the “Certified Business Analytics program” and learn all about business. The post Business Analytics Assessment Test Results appeared first on Analytics Vidhya

IBM Cloud Pak for Data enhances DataOps services to deliver business agility with cost savings and risk reduction

IBM Big Data Hub

Today’s market conditions elevate the need to put trusted data into the right hands almost in real-time. The market has been experiencing a dramatic demand for near-frictionless, fact-based decision-making processes. With business continuity top of mind, leaders are turning to DataOps programs to deliver trusted data quickly by creating trusted data pipelines between data sources and data users mapped to their critical business objectives

3 Jenis Laporan Yang Perlu Dipelajari Seorang Business Analyst


Dalam kerjaan sehari-hari, ketika dihadapkan kepada pembuatan tabel atau grafik ataupun analisis data, Anda kemungkinan akan memilih Excel. Tapi saya juga melihat banyak orang yang kebingungan dalam rumitnya deep learning Excel dan ketidakefisiennya dalam memproses big data. Faktanya, seorang business analyst profesional harusnya mahir dalam menggunakan berbagai software pembuat laporan (Excel/ QlikView/ Tableau/ FineReport) dan juga mahir dalam membuat berbagai laporan yang berbeda.

Rethinking Information Governance In The Age of Unstructured Enterprise Data

Onna is breaking down how the concept of information governance has evolved and ways today’s businesses can develop a holistic framework to keep up with a rapidly accelerating datasphere.

Understanding BDaaS and Its Types


The essence of Big Data lies within its definition of deploying high volumes of data, velocity along with the variety of data sets that can become quite difficult for extracting value and managing them. Most of the businesses today have now started gaining insights on how Big Data is going to possess challenges and opportunities for them at the same time.

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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 4: COVID-19 | Implications and Impact on Insurance Industry


PODCAST: COVID 19 | Redefining Digital Enterprises. Episode 4: COVID-19 | Implications and Impact on Insurance Industry. Listening time: 12 minutes. COVID-19 | Implications and Impact on Insurance Industry. In this episode, Anirban Chaudhury talks about how insurers the world over are grappling with new and unprecedented challenges to balance high financial losses, increasing new premiums, and rising claims.

Analytics on the edge using IBM Cloud Pak for Data

IBM Big Data Hub

As we grow smarter and more sophisticated, thanks to rapidly enhancing technological innovations, enterprise data management and analytics have to keep pace to ensure organizations continue to remain effective and data- and insights-driven

Why Dashboard & Data Storytelling is vital for a Casino


The business of land casinos. Over the past two decades, online casinos have evolved into one of the most lucrative businesses on the planet. This has also meant that land casinos need to relook at the way they increase their business to beat the competition of online gaming and casinos. Land casinos now, more than ever, need to focus on how to get customer footfall and how to get repeat customers. They also need to know what makes customers return, and what motivates them to gamble.

The Best Sales Forecasting Models for Weathering Your Goals

Every sales forecasting model has a different strength and predictability method. It’s recommended to test out which one is best for your team. This way, you’ll be able to further enhance – and optimize – your newly-developed pipeline. Your future sales forecast? Sunny skies (and success) are just ahead!

Demonstrating Leadership or managing response in times of Crisis


In the present scenario, the Coronavirus crisis is unfolding over an arc of time with a beginning, middle and end. The actions of executives and their teams now, in the midst of this crisis, will significantly determine their destiny.For nearly two decades, it is observed that public and private-sector executives are in high-stakes, high-pressure situations. The crises are most often under-led and over managed.

Grafik Dinamis: Gerakkan Data Anda


Bagaimana Cara Kerja Grafik Dinamis? Dibuat Dengan FineReport. Gambar diatas adalah dashboard yang dibuat dengan FineReport yang memiliki grafik dinamis. Dengan mengklik posisi pie chart yang bersangkutan, Anda dapat menampilkan data di suatu area yang spesifik. Mari bandingkan data yang dipresentasikan dengan Excel. Apakah Anda rasa tampilannya nampak membosankan dan mati? Ini adalah pengalaman intuitif yang dihasilkan grafik dinamis.

Building Products and Building Bridges


In The Future of Work , we explore how companies are transforming to stay competitive as global collaboration becomes vital. We will feature stories from both builders and leaders who manage these transformations to illustrate workplace trends and what’s coming next. As COVID-19 continues to disrupt operations for businesses worldwide, product teams that do not normally have a work from home culture are being expected to adopt one — and fast.

PODCAST: COVID19 | Redefining Digital Enterprises – Episode 3: COVID19 and Changing business landscape in Europe


PODCAST: COVID 19 | Redefining Digital Enterprises. Episode 3: COVID19 and Changing business landscape in Europe. Listening time: 12 minutes. COVID-19 and Changing business landscape in Europe. In this episode, Monideepa Bhattacharya discusses the impact of COVID19 on the business landscape in Europe. She feels while the short-term focus will be on crisis-management and survival, businesses will increasingly turn to intelligent automation across sectors once they start recovering.

How Banks Are Winning with AI and Automated Machine Learning

Banks have always relied on predictions to make their decisions. Estimating the risks or rewards of making a particular loan, for example, has traditionally fallen under the purview of bankers with deep knowledge of the industry and extensive expertise. But times are changing. Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. Read the white paper, How Banks Are Winning with AI and Automated Machine Learning, to find out more about how banks are tackling their biggest data science challenges.