Analytics Vidhya
DECEMBER 17, 2019
Introduction High-quality machine learning and deep learning content – that’s the piece de resistance our community loves. That’s the peg we hang our hat. The post 20 Most Popular Machine Learning and Deep Learning Articles on Analytics Vidhya in 2019 appeared first on Analytics Vidhya.
Jet Global
DECEMBER 17, 2019
SAP is one of the world’s largest tech companies, but that doesn’t mean it excels in all areas. Take SAP reporting as an example. The tools that come built into the ERP make reporting possible, but they miss the mark when it comes to finance. Some of the most common complaints relate to the fact that the SAP financial reporting process is confusing and cumbersome, often requiring help from the IT team.
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FineReport
DECEMBER 17, 2019
In this article, I review some of the top free and open source reporting tools. These reporting tools have many advantages: low cost, meeting basic reporting needs, having a dedicated discussion board to solve user problems… 1.FineReport. FineReport is a reporting tool that is free for personal use, without time and function limits. From FineReport.
KDnuggets
DECEMBER 17, 2019
Check out this step by step approach to building an intelligent chatbot in Python.
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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.
FineReport
DECEMBER 17, 2019
Microsoft Excel adalah perangkat lunak perkantoran yang paling populer. Banyak perusahaan menggunakannya setiap hari untuk menangani data. Tetapi orang-orang yang sering berurusan dengan laporan tahu bahwa sangat sulit untuk menggunakan Excel sebagai alat pelaporan. Untungnya, dengan munculnya alat pelaporan excel, Anda tidak perlu menghabiskan waktu berjam-jam untuk belajar bagaimana membuat alat pelaporan interaktif di Excel.
Data Science 101
DECEMBER 17, 2019
If the full blog post, Cloud Data Science News, Beta #6 was too long for you. Here is the 60 second video which runs through the important news for you.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Andrew White
DECEMBER 17, 2019
Click here for an interactive PDF to connect to the most read data and analytics research directly. This list excludes our branded research such as Magic Quadrants etc. Mark Beyer finally scores his first number one this year with a new note targeting the Future of Data Management. What a cracker! Not unlike the cracker you may have open at the dinner table on December 25th (if you are of a certain persuasion).
TDAN
DECEMBER 17, 2019
I’ve been privileged over the past few months to have the chance to contribute to work being done by the Leaders Data Group (www.dataleaders.org) looking at ways to move the discussion forward on data management fundamentals in the face of emerging trends like AI and Machine Learning. The motivator for this work is simple: the […].
KDnuggets
DECEMBER 17, 2019
Michael Collela describes how UChicago’s Master of Science in Analytics has helped him define his career path. Michael currently works as a data scientist at dunnhumby.
IBM Big Data Hub
DECEMBER 17, 2019
When planning for a day of business, how do you calculate the numerous factors that may affect your bottom-line revenue? For Serco, a company which operates a bike-sharing service throughout London, the answer was in their data.
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.
TDAN
DECEMBER 17, 2019
Data is commonly referred to as the new oil, a resource so immensely powerful that its true potential is yet to be discovered. We haven’t achieved enough with data research and other statistical modeling techniques to be able to see data for what it truly is and even our methods of accruing data are rudimentary […].
Tim Mitchell
DECEMBER 17, 2019
Ordinarily I wouldn’t blog solely about a set of right-click options in an application, but in this Eleven Days of Festivus series I’m sharing some quick tips that have helped me in SQL Server Management Studio (SSMS) and SQL Server Data Tools (SSDT). When working in Management Studio, you can access several handy functions by right-clicking any open file in.
TDAN
DECEMBER 17, 2019
If you do a general internet search for data catalogs, all sorts of possibilities emerge. If you look closely, and ask a lot of questions, you will find that some of these products are not actually fully functional data catalogs at all. Some software products start out life-solving a specific use case related to data, […].
KDnuggets
DECEMBER 17, 2019
Also: Your AI skills are worth less than you think; Another 10 Free Must-See Courses for Machine Learning and Data Science.
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.
TDAN
DECEMBER 17, 2019
Being agile in today’s market is not an option; it is a competitive advantage you cannot afford to miss. When you are quick to adapt to market changes and can deliver quality products and services in rapid succession, you are more likely to stay ahead of the competition. This is also why a lot of […].
KDnuggets
DECEMBER 17, 2019
Read this overview of a complete pipeline for detecting pedestrians on the road.
TDAN
DECEMBER 17, 2019
2019 was a major year for AI— from innovations in design and ethical advancements to the increased demand for AI solutions. So, what lies ahead in 2020? Fractal Analytics is one of the largest AI providers in the world, with clients like Visa, Colgate Palmolive, Kimberly-Clark, and more. Some of their top AI experts have […].
datapine
DECEMBER 17, 2019
As in many other industries, the information technology sector faces the age-old issue of producing IT reports that boost success by helping to maximize value from a tidal wave of digital data. While integral to organizational success and development, without the ability to gain actionable insights from your most important data, IT reporting could be considered somewhat of a fruitless exercise.
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.
TDAN
DECEMBER 17, 2019
The following are a set of predictions for the coming decade from respected data analytics expert/veteran CEO/VC partner, Dr. Buno Pati of Infoworks. The Ability to Harness the Power of Data will Accelerate Disruption Across the Economy and Create Winners and Losers More Quickly than in the Past. New challengers will rise faster than seen […].
DataRobot
DECEMBER 17, 2019
There is a saying in science and statistics, “ Correlation does not imply causation.” While records of this phrase go back to the 1880s, it has become more popular and widely used since the 1990s. The phrase cautions against concluding that one event causes another based solely upon observed data, without the use of rigorously designed experiments. For example, the chart below shows the historical relationship between the number of Japanese cars sold in the USA versus the number of suicides caus
Domino Data Lab
DECEMBER 17, 2019
This article provides concise insights into GANs to help data scientists and researchers assess whether to investigate GANs further. If you are interested in a tutorial as well as hands-on code examples within a Domino project , then consider attending the upcoming webinar, “ Generative Adversarial Networks: A Distilled Tutorial ”. Introduction. With growing mainstream attention on deepfakes, Generative Adversarial Networks (GANs) have also entered the mainstream spotlight.
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