October, 2019

Add Shine to your Data Science Resume with these 8 Ambitious Projects on GitHub

Analytics Vidhya

Overview Here are eight ambitious data science projects to add to your data science portfolio We have divided these projects into three categories – The post Add Shine to your Data Science Resume with these 8 Ambitious Projects on GitHub appeared first on Analytics Vidhya.

How to Perfect Your Data Culture Recipe

Corinium

One of the first questions new clients generally ask us is: “How do we maximize the value from our data?”. Data Strategy

Is Artificial Intelligence a Serious Threat to Cybersecurity?

DataFloq

In today's technology-driven world we are becoming increasingly dependent on various technological tools to help us finish everyday tasks much faster or even do them for us, artificial intelligence being the most advanced one.

How To Make Stunning Dashboards & Take Your Decision Making To The Next Level

datapine

If you want to convey crucial information to decision-makers in the easiest and most effective way possible, you need to embrace the power of interactive dashboards.

Assessing and Fostering a Culture of Innovation

Speaker: Magnus Penker, CEO & Founder, Innovation360 Group

Welcome to an interactive empowering session on how to sharpen your future through innovation management, which can help guide your company’s goals. During this webinar, Magnus Penker, international thought leader and author, will dive into how to assess and foster culture and capabilities for innovation.

KPIs for the resilient mid-market CEO

Phocas

In today’s dynamic marketplace, modern CEOs must operate from a new playbook. Resilience and the ability to quickly adapt to mercurial customer demands is the name of the game. Consequently, the modern CEO must have the tools to maintain a competitive advantage. Job Role - Executive KPIs

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Mathematics behind Machine Learning – The Core Concepts you Need to Know

Analytics Vidhya

Overview Here’s an intuitive and beginner friendly guide to the mathematics behind machine learning Learn the various math concepts required for machine learning, including. The post Mathematics behind Machine Learning – The Core Concepts you Need to Know appeared first on Analytics Vidhya. Machine Learning

Broadcast Media is Finally Embracing AI

Corinium

Netflix’s recommendation engine may have made waves when the company’s streaming platform launched in 2010. But in the years that followed, the broadcast industry was surprisingly slow to adopt other AI or machine learning (ML) technologies. AI & Machine Learning

Why We Should Be Careful When Building AI

DataFloq

Artificial intelligence offers a lot of advantages for organisations by creating better and more efficient organisations, improving customer services with conversational AI and reducing a wide variety of risks in different industries.

Risk 250

Top 10 Management Reporting Best Practices To Create Effective Reports

datapine

Management reporting is a source of business intelligence that helps business leaders make more accurate, data-driven decisions. But, these reports are only as useful as the work that goes into preparing and presenting them.

Encouraging Innovation in an Established Product Culture

Speaker: Richard Cardran, Chief Creative Officer and VP Strategy, HIA Technologies

Innovation is both a process and an outcome. The best way to begin innovating your products is by innovating your internal process. We'll explore the challenges, solutions, and hands-on techniques for becoming a successful "agent of change" within a well-established product culture. We'll examine the importance of UX and user-centric feature analysis, the adaptation of Agile Methodologies to the creative process, as well as a way to drive successful culture change for setting expectations and winning approvals with cross-functional stakeholders. Innovation and Leadership go hand in hand. Join Richard Cardran, Chief Creative Officer and VP Strategy, HIA Technologies, as we assess some case studies to see how to lead with a clear strategy well-defined tactics, and an unbiased understanding of the fundamental question: "why are you innovating?"

When decision making is so tough that even rocket scientists get it wrong

Phocas

Typically, having loads of data is overwhelming for a decision-maker, unless it can be consolidated and presented in a way that is useful and makes a point.

IT 161

Activation maps for deep learning models in a few lines of code

KDnuggets

We illustrate how to show the activation maps of various layers in a deep CNN model with just a couple of lines of code. 2019 Oct Tutorials, Overviews Architecture Deep Learning Neural Networks Python

Knowledge Graph – A Powerful Data Science Technique to Mine Information from Text (with Python code)

Analytics Vidhya

Overview Knowledge graphs are one of the most fascinating concepts in data science Learn how to build a knowledge graph using text from Wikipedia. The post Knowledge Graph – A Powerful Data Science Technique to Mine Information from Text (with Python code) appeared first on Analytics Vidhya. NLP Python dependency trees graphs Natural language processing Natural Language Understanding Part of Speech python spaCy text data unstructured data

Why Data Leaders Should Prioritize Customer Insights

Corinium

There’s almost no limit to what you can do with data-driven technologies. From combing the night sky for habitable planets to finding overlooked discoveries in old scientific data, the potential applications are as broad as the human imagination. Insights & Analytics

The Magic of Intent: Start Knowing The Goals of Your Users

Speaker: Terhi Hanninen, Senior Product Manager, Zalando, and Dr. Franziska Roth, Senior User Researcher, Zalando

It's important to know your users - what are their preferences, pain points, ultimate goals? With user research and usage data, you can get a great idea of how your users act. The tricky part is, very few users reliably act the same way every time they use your product. Join Terhi Hanninen, Senior Product Manager, and Dr. Franziska Roth, Senior User Researcher at Zalando, as they explain how they were able to reach a new level of user understanding - by taking their user research and segmenting their users by point-in-time intent. You'll leave with a strategy to change how your product team, and organization at large, understands your users.

How AI Imperfections Can Help Us

DataFloq

Artificial intelligence (AI) is improving in astounding ways. The systems that use it can often diagnose illnesses more accurately than physicians with decades of experience or determine the content of images and then automatically tag them for easier retrieval later.

Artificial Intelligence and Big Data in Higher Education: Promising or Perilous?

Smart Data Collective

What exactly is artificial intelligence (AI) and what business does it have in higher education? Simply put, AI is an attempt to emulate human knowledge by programming extensive rules into computers.

The Ultimate Business Intelligence Quiz

Phocas

How good is your knowledge of business intelligence? How many questions can you answer? Test your skills in the Ultimate Business Intelligence Quiz. Business Intelligence Basics

The 5 Classification Evaluation Metrics Every Data Scientist Must Know

KDnuggets

This post is about various evaluation metrics and how and when to use them. 2019 Oct Tutorials, Overviews Data Scientist Machine Learning Metrics Python

Buyer’s Guide for Embedded Analytics

Selecting the right embedded analytics technology in a crowded market filled with sub-categories can be a daunting task. This eBook discusses the top evaluation criteria buyers of embedded analytics need to consider.

A Detailed Guide to the Powerful SIFT Technique for Image Matching (with Python code)

Analytics Vidhya

Overview A beginner-friendly introduction to the powerful SIFT (Scale Invariant Feature Transform) technique Learn how to perform Feature Matching using SIFT We also showcase.

The Rise of Enterprise-Wide AI Adoption

Corinium

Machine learning (ML) is driving AI adoption in business, with 80% of data and analytics leaders reporting that their organizations have already implemented ML initiatives, according to new Corinium research. AI & Machine Learning

Will Google AI Ever Rule the World?

DataFloq

Internet giant Google has recently been sharpening its focus on dominating AI. Not content with its almost monopolistic hold of internet searches, Google has a 90% market share. The company sees AI as a way of further increasing its influence.

The Language Of Requirements Documents - When To Use Shall, Will & Should.

BA Learnings

A well-written business requirements document (BRD) forms the basis of successful project documents and can be used to verify that all stakeholders are on the same page. Three words that are often misunderstood and therefore misused in requirement documents are shall , should and will.

Embedding Operational Reports: Everything Product Managers Should Know

Speaker: Dean Yao, Sr. Director of Product Marketing, Logi Analytics

Businesses are run with analytics - but companies continue to struggle with interpreting, analyzing, and distributing data. Operational reports help get information to the people who need it most, in formats they understand, and in a timeframe that matters. Join the webinar to learn how embedding operational reports can give your users a precisely formatted, ready-to-analyze view of their operational activities. World-class software teams are embedding operational reports to empower end users with interactive data visualizations, detailed information, and highly precise formats that can be shared via email, PDF, print, or online.

Customer Value Analytics for retaining Profitable Customers

Phocas

Usually a small percentage of customers drive the majority of a company’s profits. Upon closer inspection, companies find that customers who generate a lot of cash flow cost more to service per transaction.

10 Free Top Notch Natural Language Processing Courses

KDnuggets

Are you looking to learn natural language processing? This collection of 10 free top notch courses will allow you to do just that, with something for every approach to learning NLP and its varied topics. 2019 Oct Tutorials, Overviews fast.ai NLP Oxford spaCy Stanford U.

IT 114

Hands-On Introduction to Web Scraping in Python: A Powerful Way to Extract Data for your Data Science Project

Analytics Vidhya

Overview Web scraping is a highly effective method to extract data from websites (depending on the website’s regulations) Learn how to perform web scraping.

Three Key Takeaways from CDAO Europe 2019

Corinium

‘Ethics’, ‘strategy’ and ‘collaboration’ were the words on everyone’s lips when 115 data and analytics leaders descended on Berlin for CDAO Europe 2019 last week. Data Strategy Data Ethics Data Architecture

Your 2-Part Metrics Audit for High-Value Products

Speaker: Sam McAfee, Product Development Consultant, Startup Patterns

You know what they say: what's measured improves. As product managers we're in a golden age of being able to get all sorts of metrics and run all sorts of experiments. But what are your measurements and analytics focused on? Are they really truly objective? Do they contribute to the ultimate vision of your product? And is everybody clear on that vision? Join Sam McAfee, Product Development Consultant, as he takes you through a two-part measurement audit. First, you'll learn how to make sure your measurements actually align with your product strategy. And second, you'll learn how to evaluate your culture of using measurements, so future experiments will more consistently provide high-value results.

Can the Internet be Decentralized by Using Blockchain Technology?

DataFloq

Various authorities representing both government agencies and the interests of private business seem to be fighting to control access to the Internet. As a result, more web experts have called for decentralization than ever before.

Leveraging Big Data With State-Of-The-Art Business Dashboards

Smart Data Collective

There are a lot of ways that organizations can leverage big data. Most of them don’t have difficulty collecting the data they need to make more informed decisions. However, they often struggle to conceptualize the data and present it in a format that supports their conclusions.

Simple data discovery for distributors

Phocas

Industry-specific data analytics technology has advanced exponentially over the last decade. Before the development of analytics software, data management relied on manual input. Purchase orders were received in person, over the phone, or by way of fax or email.