Analytics Vidhya
JUNE 30, 2019
Overview Check out the top 6 machine learning GitHub repositories created in June There’s a heavy focus on NLP again, with XLNet outperforming Google’s. The post 6 Powerful Open Source Machine Learning GitHub Repositories for Data Scientists appeared first on Analytics Vidhya.
Dataconomy
JUNE 28, 2019
Fintech is opening floodgates of opportunity for ambitious startups that previously had no hopes of overcoming barriers to entry in the finance field. With the desire to innovate and succeed, however, gutsy startups are now promoting financial literacy and reaching previously underserved groups with brand-new retail banking and investment services. The post Here is a look at where Fintech is leading us and Why appeared first on Dataconomy.
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Machine Learning (Theory)
JUNE 7, 2019
The first is Sunday afternon during the Industry Expo day. This one is meant to be quite practical, starting with an overview of Contextual Bandits and leading into how to apply the new Personalizer service, the first service in the world functionally supporting general contextual bandit learning. The second is Friday morning. This one is more academic with many topics.
Smart Data Collective
JUNE 23, 2019
In today’s digital age, big data is incorporated into many aspects our daily lives. Big data is essentially massive amounts of data that is used in order to drive strategic decisions. An example of how it is used in daily life is through using online maps such as Google Maps to take the quickest route to work possible. Through the collection of data , patterns of traffic congestion are produced to give you the best route.
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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.
DataRobot
JUNE 28, 2019
It’s been a fun year in the world of professional tennis. From the men’s tour, we’ve witnessed Novak Djokovik winning in Australia, Rafael Nadal winning in France, and Roger Federer rounding out the continued domination of the Big Three. With the emergence of a new generation on the women’s tour, it’s been exciting to watch Naomi Osaka win in Australia and Ashleigh Barty win in France.
Data Science 101
JUNE 3, 2019
Looking for a few academic data science papers to study? Here are a few I have found interesting. The are not all from the past 12 months, but I am including them anyhow. Cloud Programming Simplified: A Berkeley View on Serverless Computing (2019) – Serverless computing is very popular nowadays and this article covers some of the limitations. Playing Atari with Deep Reinforcement Learning (2013) – A bit older, but a classic in the reinforcement learning literature Model Evaluation, M
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Dataconomy
JUNE 28, 2019
What is the future of AI in Europe and what does it take to build an AI solution that is attractive to investors and customers at the same time? How do we reimagine the battle of “AI vs Human Creativity” in Europe? Is there any company that is not using. The post Where does Europe stand in the development of AI? appeared first on Dataconomy.
Victor Zhou
JUNE 14, 2019
Keras is a simple-to-use but powerful deep learning library for Python. In this post, we’ll see how easy it is to build a feedforward neural network and train it to solve a real problem with Keras. This post is intended for complete beginners to Keras but does assume a basic background knowledge of neural networks. My introduction to Neural Networks covers everything you need to know (and more) for this post - read that first if necessary.
Smart Data Collective
JUNE 10, 2019
Sustainability is a major concern for many businesses. You probably wouldn’t think that data analytics would be the core solution. Many people believe that the fields of big data and green business have little overlap. However, big data could actually be a wonderful solution for many sustainability problems. People that know me are aware that I have a blog on sustainability, as well as Smart Data Collective.
DataRobot
JUNE 25, 2019
Making predictions has been a part of the banking industry since the world was flat. These days, you would be hard-pressed to identify a line of business or function in a bank that doesn’t have multiple needs for predictive analytics.
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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?
Data Science 101
JUNE 10, 2019
Getting your first data science job might be challenging, but it’s possible to achieve this goal with the right resources. Before jumping into a data science career , there are a few questions you should be able to answer: How do you break into the profession? What skills do you need to become a data scientist? Where are the best data science jobs? First, it’s important to understand what data science is.
Analytics Vidhya
JUNE 12, 2019
Overview Bayes’ Theorem is one of the most powerful concepts in statistics – a must-know for data science professionals Get acquainted with Bayes’ Theorem, The post An Introduction to the Powerful Bayes’ Theorem for Data Science Professionals appeared first on Analytics Vidhya.
Dataconomy
JUNE 13, 2019
As a relatively new role, “data guru” is a challenging job specification to draft for. Organisations are seeking highly-skilled and well-educated individuals to fulfil the position but, the truth is, the data scientist an organisation needs is not a guru, but a colleague. Most organisations forget that recruiting the right. The post How to attract and retain the important, but elusive, data scientist appeared first on Dataconomy.
Victor Zhou
JUNE 10, 2019
Javascript is dynamically typed : it performs type checking at runtime. On the other hand, a statically typed language like C performs type checking at compile time. Allow me to illustrate the difference. Here’s some simple C code: # include <stdio.h> // Adds one to an integer. int addOne ( int x ) { return x + 1 ; } int main ( ) { const char * value = "2" ; printf ( "%d" , addOne ( value ) ) ; // ?
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
JUNE 23, 2019
Do you want to create Instagram stories like a pro, but don’t know how to go about it? You have come to the right page because we are going to discuss how you create the storyboard for Instagram stories. The good news is that big data has made it easier than ever to create powerful Instagram content. How Big Data is Making Instagram Stories More Effective.
DataRobot
JUNE 18, 2019
In 2012, DataRobot co-founders Jeremy Achin and Tom de Godoy recognized the profound impact that AI and machine learning could have on organizations, but that there wouldn’t be enough data scientists to meet the demand. The technology they invented, automated machine learning, allowed organizations to scale data science capacity by teaching machines to perform much of the tedious and time-consuming work for a data scientist while also giving them access to hundreds of different algorithms.
Christian Haschek
JUNE 16, 2019
I was looking for a method to keep the plants happy without spending too much money on irrigation
Analytics Vidhya
JUNE 9, 2019
Introduction “I don’t want a full report, just give me a summary of the results” I have often found myself in this situation – The post Comprehensive Guide to Text Summarization using Deep Learning in Python appeared first on Analytics Vidhya.
Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin
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.
Dataconomy
JUNE 4, 2019
Here is how CIOs can use AIOps to create a strategy and foundation for the digital future. CIOs and operations teams across the globe are tuned into the rapidly developing area of AIOps (Artificial intelligence for IT operations). As Artificial Intelligence and Machine Learning continue to evolve and advance, IT. The post IT Automation – The Missing Piece in the AIOPS puzzle appeared first on Dataconomy.
Victor Zhou
JUNE 10, 2019
Javascript is dynamically typed , but tools like Flow allow you to add static type checking to improve the safety of your codebase. No clue what “typing” is, or never heard of Flow? Read my primer on using Flow to static type check your Javascript. While Flow is most commonly used to add types to client-side Javascript, it can also be easily used with Node.js!
Smart Data Collective
JUNE 26, 2019
There’s a growing number of tools that you can use to analyze data for a business. But you may not be overly confident in the results if you don’t take the data’s blind spots into account. There’s no single way to do that, but we’ll look at some possibilities here. The first thing to keep in mind is that a blind spot generally represents an “unknown unknown.” In other words, it’s a factor you didn’t take into account because you didn’t
DataRobot
JUNE 13, 2019
Whether it’s building a winning March Madness bracket or predicting who will win the Stanley Cup , sports analytics is an ever growing field within AI and machine learning. Moneyball was a major tipping point for the industry and the opportunities are continuing to grow. “Now, more than a decade and a half after the events of Moneyball the world of sports has evolved by leaps.
Speaker: Nikhil Joshi, Founder & President of Snic Solutions
Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.
DataCentric podcast
JUNE 24, 2019
During this wide-ranging half-hour discussion recorded live at the 2019 HPE Discover in Las Vegas, hosts Steve McDowell and Matt Kimball talk to HPE's Director of Server Software and Product Security, Bob Moore, about the insidious attack vectors that are emerging. This covers everything from firmware attacks to supply chain interceptions, along with the growth of mafia-like organizations that are driving attacks at an unprecedented scale.
Analytics Vidhya
JUNE 11, 2019
Overview TensorFlow.js (deeplearn.js) enables us to build machine learning and deep learning models right in our browser without needing any complex installation steps There. The post Build a Machine Learning Model in your Browser using TensorFlow.js and Python appeared first on Analytics Vidhya.
Dataconomy
JUNE 6, 2019
Today, customers globally want to buy bespoke goods, made within the time and delivered at the right place. The production of the future will be focused on the personalized market which will respond to the demand changes. How would this tendency affect the future of ERP software? Enterprise resource planning. The post What’s the Future of ERP software in a Fintech Niche?
Victor Zhou
JUNE 7, 2019
Information Gain, like Gini Impurity , is a metric used to train Decision Trees. Specifically, these metrics measure the quality of a split. For example, say we have the following data: The Dataset What if we made a split at x = 1.5 x = 1.5 x = 1. 5 ? An Imperfect Split This imperfect split breaks our dataset into these branches: Left branch, with 4 blues.
Speaker: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage
When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.
Smart Data Collective
JUNE 14, 2019
Big data is changing our lives in many ways. Some of the ways data impacts us are much more subtle than others. One example is with digital calendars. A number of new data algorithms are being used to make digital calendars more effective. Big data is so important for event planning and preparation. A growing number of companies are using big data to plan their events more effectively.
DataRobot
JUNE 10, 2019
The main objective for many data scientists is to build machine learning models that predict the outcomes on unseen data that weren’t used in the development process. The performance of a model on unseen data is referred to as its ability to generalize and is ultimately how it will be judged. If generalization does not meet expectations, the result will be poor outcomes and possibly a reduction of stakeholder confidence in machine learning.
DataCentric podcast
JUNE 19, 2019
HPE Discover kicks off with an overwhelming list of themes focused around software-defined, multi-cloud, intelligent edge, and, of course, the stars of the show: Storage and HCI. Hosts Matt Kimball & Steve McDowell provide a high-level recap of all the happenings, and contextualize the announcements. You won't want to miss it! HPE Launches Primera high-end storage.
Analytics Vidhya
JUNE 5, 2019
Introduction If I had to pick one platform that has single-handedly kept me up-to-date with the latest developments in data science and machine learning. The post Top 7 Machine Learning Github Repositories for Data Scientists appeared first on Analytics Vidhya.
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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.
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