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 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.
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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.
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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.
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 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.
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 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.
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.
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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?
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 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.
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.
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: 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
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 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.
DataRobot
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%).
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.
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.
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.
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?
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.
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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.
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 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.
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.
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.
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.
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 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 22, 2019
Check out this eBook, How to Enhance Privacy in Data Science, to equip yourself with the tools to enhance privacy in data science, including transforming data in a manner that protects the privacy, an overview of the challenges and opportunities of privacy-aware analytics, and more.
KDnuggets
AUGUST 20, 2019
Crunch is coming to Budapest, Hungary on 16-18 Oct. Use code KDNuggets to save on Data Science, Data Engineering, or BI tracks. But first, read this interview with keynote speaker Andy Cotgreave.
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.
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