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.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
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.
Advertisement
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?
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.
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.
Advertisement
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
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: 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
AUGUST 21, 2019
Millman has introduced some articles on the benefits of big data in the retirement industry. Wade Matterson wrote an article on LinkedIn on the value of big data for solving the retirement riddle. A growing body of research shows that big data can be invaluable for people planning for retirement. Predictive analytics and machine learning can help give some more perspectives on how retirees live , which can help them forecast their financial needs in their Golden Years.
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: 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.
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.
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.
Advertisement
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.
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 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 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: 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.
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.
KDnuggets
AUGUST 22, 2019
As machine learning evolves, the need for tools and platforms that automate the lifecycle management of training and testing datasets is becoming increasingly important. Fast growing technology companies like Uber or LinkedIn have been forced to build their own in-house data lifecycle management solutions to power different groups of machine learning models.
Speaker: Anne Steiner and David Laribee
As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.
Expert insights. Personalized for you.
307 
Let's personalize your content