KDnuggets
AUGUST 23, 2019
Entirely implemented with NumPy, this extensive tutorial provides a detailed review of neural networks followed by guided code for creating one from scratch with computational graphs.
Analytics Vidhya
AUGUST 21, 2019
Overview Effectively translating business requirements to a data-driven solution is key to the success of your data science project Hear from a data science. The post How can you Convert a Business Problem into a Data Problem? A Successful Data Science Leader’s Guide appeared first on Analytics Vidhya.
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Dataconomy
AUGUST 21, 2019
How will micromobility change the way we travel from point “A” to “B”? How will micromobility co-exist with the traditional models of transportation? What is the importance of network effects in micromobility? Kristin Dolgner, a marketing and communications professional at BCG Digital Ventures based in Berlin had an eventful week.
Smart Data Collective
AUGUST 21, 2019
Setting up a business is probably the most difficult part of every entrepreneur’s journey. It requires dedication, contemplation, a lot of effort, and a bit of foresight. Once you build it from the ground up, you should know that your work doesn’t stop there. On the contrary, the moment you start settling in, you need to do some thinking again. You might wonder why that is necessary.
Speaker: Tamara Fingerlin, Developer Advocate
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
KDnuggets
AUGUST 20, 2019
Kaggle Learn is "Faster Data Science Education," featuring micro-courses covering an array of data skills for immediate application. Courses may be made with newcomers in mind, but the platform and its content is proving useful as a review for more seasoned practitioners as well.
Analytics Vidhya
AUGUST 19, 2019
Overview Presenting 10 powerful and innovative Python tricks and tips for data science This list of Python tricks contains use cases from our daily. The post 10 Powerful Python Tricks for Data Science you Need to Try Today appeared first on Analytics Vidhya.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Smart Data Collective
AUGUST 22, 2019
Data science is one of the most promising career paths of the 21st-century. Over the past year, job openings for data scientists increased by 56%. People that pursue a career in data science can expect excellent job security and very competitive salaries. However, a background in data analytics, Hadoop technology or related competencies doesn’t guarantee success in this field.
KDnuggets
AUGUST 23, 2019
Whenever we hear "data," the first thing that comes to mind is SQL! SQL comes with easy and quick to learn features to organize and retrieve data, as well as perform actions on it in order to gain useful insights.
Analytics Vidhya
AUGUST 18, 2019
Overview K-Means Clustering is a simple yet powerful algorithm in data science There are a plethora of real-world applications of K-Means Clustering (a few. The post The Most Comprehensive Guide to K-Means Clustering You’ll Ever Need appeared first on Analytics Vidhya.
DataRobot
AUGUST 20, 2019
Black Friday, Cyber Monday, Super Saturday—let’s talk numbers. In 2018, 165 million people shopped over Black Friday weekend from Thanksgiving to Cyber Monday. Sales on Black Friday totaled over $24 billion. On Cyber Monday, consumers spent $7.9 billion online, a third of which came from mobile devices. Despite these massive numbers, this year’s forecasts for Super Saturday on December 22nd have it surpassing Black Friday with a total of $26 billion.* Clearly, as online shopping continues to gro
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
Smart Data Collective
AUGUST 21, 2019
Big data is changing the future of organizational decision making. Belkacem Athamena, a professor at Al Ain University of Science and Technology wrote a white paper on the evolution of big data in decision making. Companies will place a greater emphasis on quantitative decision-making models than ever before, since new big data technology has made it more reliable.
KDnuggets
AUGUST 19, 2019
Learn how to use Keras to build a Recurrent Neural Network and create a Chatbot! Who doesn’t like a friendly-robotic personal assistant?
Analytics Vidhya
AUGUST 20, 2019
Overview Learn how to remove stopwords and perform text normalization in Python – an essential Natural Language Processing (NLP) read We will explore the. The post NLP Essentials: Removing Stopwords and Performing Text Normalization using NLTK and spaCy in Python appeared first on Analytics Vidhya.
DataRobot Blog
AUGUST 23, 2019
A few months ago, DataRobot simulated the Championships at Wimbledon to predict who would win. After following the fortnight of tennis, we anxiously watched the women’s and men’s finals. In the women’s finals, we watched our DataRobot model’s favorite, Serena Williams (odds of winning 22%) handily fall to our model’s fifth favorite, Simona Halep (6%).
Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives
Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri
Smart Data Collective
AUGUST 21, 2019
Big data is changing the future of the retail industry. One study found that the value of big data in this sector was worth $3.45 billion in 2018. Big data is especially important in the eCommerce industry, since the market is digital. Smart marketers will look at ways to utilize it. Big data is going to be even more important for companies selling digital products online.
KDnuggets
AUGUST 23, 2019
Alibaba, the largest e-commerce platform in China, is a powerhouse not only when it comes to e-commerce, but also when it comes to recommender systems research. Their latest paper, Behaviour Sequence Transformer for E-commerce Recommendation in Alibaba, is yet another publication that pushes the state of the art in recommender systems.
Explosion
AUGUST 20, 2019
In this new video series, data science instructor Vincent Warmerdam gets started with spaCy, an open-source library for Natural Language Processing in Python. His mission: building a system to automatically detect programming languages in large volumes of text.
DataCentric podcast
AUGUST 21, 2019
Moor Insights & Strategy analysts Matt Kimball & Steve McDowell are back from their various summer adventures and are easing back into the podcast saddle by asking the question: Is AMD's new Rome server part really "all that"? Should IT buyers care? And if you do, should you buy a server from Lenovo, who's continuing a stellar run of solid execution?
Speaker: Frank Taliano
Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.
Smart Data Collective
AUGUST 21, 2019
Machine learning is tremendously beneficial for many e-commerce companies. Marketing expert and founder of Crazy Egg, Neil Patel, has discussed the benefits of machine learning in e-commerce. They are using machine learning and predictive analytics to forecast market trends , which can be very useful as they strive to grow. One of the biggest applications of machine learning in e-commerce is with identifying market trends.
KDnuggets
AUGUST 20, 2019
Explore how to determine if your time series data is generated by a stationary process and how to handle the necessary assumptions and potential interpretations of your result.
KDnuggets
AUGUST 21, 2019
This tutorial covers decision trees for classification also known as classification trees, including the anatomy of classification trees, how classification trees make predictions, using scikit-learn to make classification trees, and hyperparameter tuning.
KDnuggets
AUGUST 20, 2019
Modern machine learning applications need to process a humongous amount of data and generate multiple features. Python’s datatable module was created to address this issue. It is a toolkit for performing big data (up to 100GB) operations on a single-node machine, at the maximum possible speed.
Speaker: Chris Townsend, VP of Product Marketing, Wellspring
Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?
KDnuggets
AUGUST 19, 2019
Math for Programmers teaches you the math you need to know for a career in programming, concentrating on what you need to know as a developer.
KDnuggets
AUGUST 21, 2019
Through an analysis of 1.5M papers from arXiv, this study reviews the evolution of gender diversity across disciplines, countries, and institutions as well as the semantic differences between AI papers with and without female co-authors.
KDnuggets
AUGUST 22, 2019
Using the ATTOM dataset, we extracted data on sales transactions in the USA, loans, and estimated values of property. We developed an optimal prediction model from correlations in the time and status of ownership as well as the time of the year of sales fluctuations.
KDnuggets
AUGUST 21, 2019
Utilizing stacking (stacked generalizations) is a very hot topic when it comes to pushing your machine learning algorithm to new heights. For instance, most if not all winning Kaggle submissions nowadays make use of some form of stacking or a variation of it.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
KDnuggets
AUGUST 19, 2019
If you are launching a data science startup, these tips will give you a head start as you seek capital for seed funding or your next level of growth.
KDnuggets
AUGUST 19, 2019
What’s the best way to execute your data integration tasks: writing manual code or using ETL tool? Find out the approach that best fits your organization’s needs and the factors that influence it.
KDnuggets
AUGUST 22, 2019
New KDnuggets survey looks to find out what skills our readers currently use, and which they are looking to add or improve. Take a few minutes to participate.
KDnuggets
AUGUST 21, 2019
Check out this tutorial walking you through a comparison of XGBoost and Random Forest. You'll learn how to create a decision tree, how to do tree bagging, and how to do tree boosting.
Speaker: Tamara Fingerlin, Developer Advocate
In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!
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