Analytics Vidhya
MAY 2, 2019
Introduction What is one of the most important and core concepts of statistics that enables us to do predictive modeling, and yet it often. The post Statistics 101: Introduction to the Central Limit Theorem (with implementation in R) appeared first on Analytics Vidhya.
Dataconomy
APRIL 29, 2019
Meet investors, Blockchain and crypto enthusiasts, a talent pool of developers and programmers as they solve three Blockchain challenges over two days in Berlin. Here is why you should be a part of LongHash Cryptocon Vol2. Berlin has been recognised as the cryptocurrency capital of Europe for more than half. The post Call to all developers, programmers, entrepreneurs: Three challenges await you?
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Smart Data Collective
MAY 2, 2019
Large companies around the world are investing in big data. Big data has been especially important for optimizing their marketing campaigns. However, a number of small businesses are getting in on the action too. Local marketing agencies have discovered that SEO is more dependent on big data than ever. They are developing more data driven solutions to offer better search marketing strategies.
DataRobot
MAY 2, 2019
So, you have successfully trained a machine learning model after choosing the best algorithm and high-quality training data. Time to celebrate, right? Not quite!
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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?
Analytics Vidhya
APRIL 28, 2019
Introduction Have you ever been stuck at work while a pulsating cricket match was going on? You need to meet a deadline but you. The post Learn how to Build and Deploy a Chatbot in Minutes using Rasa (IPL Case Study!) appeared first on Analytics Vidhya.
Dataconomy
MAY 2, 2019
How do we automate the Smart Machine Bidding procedure for the LPWAN devices in order to reduce the costs of an IoT network? Yes, this is one of the challenges for the second Blockchain Hackathon (part of LongHash Cryptocon Vol2) in Berlin on May 18-19 this year. More details here. The post “LPWAN can provide a cost effective? network for IoT” appeared first on Dataconomy.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Smart Data Collective
APRIL 29, 2019
Big data technology has played a very big role in solving many business challenges. LinkedIn released a report last year on the benefits of using predictive analytics and other data technology for branding. However, some of the lessons big data has unveiled are far from surprising. Predictive analytics data has helped brands understand the secrets to boosting customer loyalty.
Analytics Vidhya
APRIL 30, 2019
Introduction Data science is an ever-evolving field. As data scientists, we need to have our finger on the pulse of the latest algorithms and. The post Don’t Miss these 5 Data Science GitHub Projects and Reddit Discussions (April Edition) appeared first on Analytics Vidhya.
Dataconomy
MAY 2, 2019
Meet investors, Blockchain and crypto enthusiasts, a talent pool of developers and programmers as they solve three Blockchain challenges over two days in Berlin. Here is why you should be a part of LongHash Cryptocon Vol2. Berlin has been recognised as the cryptocurrency capital of Europe for more than half. The post Call to all developers, programmers, entrepreneurs: Three challenges await you?
DataRobot
MAY 3, 2019
Retail is one of the many industries that is embracing AI and seeing exponential results. “.AI in retail is expected to witness a growth in spending of over 200% between 2019 and 2023. The projections reveal that it will be $12 billion in spending by 2023.” ( MartechSeries ) Retailers around the world are leveraging AI throughout their entire organizations to improve demand forecasting, customer experience, and targeted campaigns.
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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.
Smart Data Collective
MAY 1, 2019
The internet makes it easier for small entrepreneurs to succeed. When you try to create a business online, you don’t need to have technical experience. In fact, you don’t need to know much about website building or programming at all this can easily be handled by using countless tools that are available online. However, there are still some competencies that you need to develop.
Analytics Vidhya
APRIL 29, 2019
Introduction It is not the strongest or the most intelligent who will survive but those who can best manage change. Evolution is the only. The post 8 Awesome Data Science Capstone Projects from Praxis Business School appeared first on Analytics Vidhya.
Dataconomy
MAY 1, 2019
How to implement an Algo Order in Cybex Dex?Yes, this is one of the challenges for the second Blockchain Hackathon (part of LongHash Cryptocon Vol2) in Berlin on May 18-19 this year. More details here. As an advantage to all developers, Blockchain enthusiasts and Crypto geeks who are aching to. The post “With Algo-Trading, the market will have good liquidity & higher profits for users from the trading process.” appeared first on Dataconomy.
Data Science 101
APRIL 29, 2019
Here is the latest data science news for the week of April 29, 2019. From Data Science 101. The Go Programming Language for Data Science Quick Video Tutorial for Find Updates in Azure Two-Minute Papers, One Pixel attack on NN. General Data Science. How to Go into Data Science – tons of Q&A for becoming a data scientist Uber submits Hudi to the Apache Software Foundation – Open source project providing stream processing for big data 3 Awesome Visuals with Python Code -Categorical
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.
Smart Data Collective
MAY 2, 2019
Small businesses are looking to big data to get an edge against their more established competitors. Big data is becoming more important in the new economy. Industries are becoming more consolidated and traditional lenders are more averse to funding unproven start-ups. Without a stellar big data strategy in place, many businesses are doomed to the day they open their doors.
Analytics Vidhya
APRIL 29, 2019
Introduction 90-95% of the times we find ourselves working with tabular data in machine learning. That number jumps up even more in machine learning. The post Winning Solutions and Approaches from the Machine Learning Hikeathon: Feature Engineering Special! appeared first on Analytics Vidhya.
Eugene Yan
APRIL 29, 2019
No, you don't need a PhD or 10+ years of experience.
DataRobot
APRIL 30, 2019
Artificial intelligence (AI) has been helping businesses across industries and around the world manage and leverage years of data to solve various problems (e.g., banks sorting through loan applications and hospitals predicting patient readmissions). Businesses are either already adopting AI throughout their organizations or are curious to know more about it in order to stay competitive.
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.
Smart Data Collective
APRIL 28, 2019
The market for mobile apps is rising at an accelerated pace. According to analysts, the market for mobile apps is expected to reach $189 billion by the end of next year. As the market grows, a variety of new trends are beginning to take hold. Globalism is one of the biggest changes impacting the mobile app development industry. New advances in predictive analytics will help mobile app developers navigate these changes and develop better technology to adapt.
Analytics Vidhya
APRIL 30, 2019
Introduction In the last 6 years – we have helped millions of users in learning data science, we helped hundreds of companies across the. The post Last Chance to Register on our Flagship Course – AI & ML BlackBelt appeared first on Analytics Vidhya.
Victor Zhou
MAY 3, 2019
This is Part 2 of my “How to Build a Multiplayer (.io) Web Game” series - make sure you read Part 1 first. In this post, we’ll take a look at the Node.js backend powering our example.io game : On mobile, it works best fullscreen at [link] As a reminder, here’s what we went over in Part 1 of the series: Project Overview / Structure : A high level view of the project.
DataCentric podcast
MAY 1, 2019
Dell Tech World day 3 was a day of closure, better coffee, and smuggled bacon. Hosts Matt Kimball and Steve McDowell talk about their key takeaways in this short recap of what was a great event. Storage. Servers. Edge. VMWare. HCI/CI. And much, much more. Dell Tech World day 3 was a day of closure, better coffee, and smuggled bacon. Hosts Matt Kimball and Steve McDowell talk about their key takeaways in this short recap of what was a great event.
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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.
Data Science 101
APRIL 27, 2019
An enlightening video about how a single pixel change can fool a neural network. The entire Two Minute Papers Youtube Channel is full of similar videos about other papers in AI.
DataCentric podcast
APRIL 30, 2019
Dell EMC released a flurry of product announcements targeted at the enterprise. New Midrange Storage. New PowerMax storage. Dell joins the Storage-on-Demand world with offerings that span on- and off-prem. Add to that new Dell Latitude laptops, networking branding, VMware cloud management tools. the list goes on and on. Moor Insights & Strategy data center analysts Matt Kimball and Steve McDowell give you their quick take on it all on this special recap edition of the DataCentric Podcast.
DataCentric podcast
APRIL 29, 2019
Day one of Dell Technologies World 2019 has just concluded, and Matt & Steve from Moor Insights & Strategy provide a quick recap of the day's events, from serving humanity to VMWare everywhere. The first day of Dell Tech World usually lays out the major themes that we should expect to hear through the four days of the conference, before the more product-focused announcements kick in on Tuesday.
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