Analytics Vidhya
OCTOBER 30, 2019
Overview Gaussian Mixture Models are a powerful clustering algorithm Understand how Gaussian Mixture Models work and how to implement them in Python We’ll also. The post Build Better and Accurate Clusters with Gaussian Mixture Models appeared first on Analytics Vidhya.
O'Reilly on Data
OCTOBER 30, 2019
This is a keynote from TensorFlow World in Santa Clara, California 2019. See more keynotes from this event.
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KDnuggets
OCTOBER 30, 2019
Here are five statistical fallacies — data traps — which data scientists should be aware of and definitely avoid.
O'Reilly on Data
OCTOBER 30, 2019
This is a keynote from TensorFlow World in Santa Clara, California 2019. See more keynotes from this event.
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
OCTOBER 30, 2019
Machine learning is changing the future of marketing in many beneficial ways. The Digital Marketing Institute reports that 97% of decision makers believe it is the future of marketing. There are a number of tactics that marketers can pursue to optimize campaigns with machine learning algorithms. However, some of these strategies are more limited then marketers would like to think.
O'Reilly on Data
OCTOBER 30, 2019
This is a keynote from TensorFlow World in Santa Clara, California 2019. See more keynotes from this event.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
O'Reilly on Data
OCTOBER 30, 2019
This is a keynote from TensorFlow World in Santa Clara, California 2019. See more keynotes from this event.
FineReport
OCTOBER 30, 2019
Why We Need Reporting Tools for Social Media. More and more people are working on social media operations recently. Facebook, Twitter, Instagram… Massive traffic data and user behaviors data is too large for administrators to handle. At this time, you can’t help but ask if there is a good reporting tool, which can help process massive amounts of data and visualize the processed data to help make decisions?
KDnuggets
OCTOBER 30, 2019
The problem with RNNs and CNNs is that they aren’t able to keep up with context and content when sentences are too long. This limitation has been solved by paying attention to the word that is currently being operated on. This guide will focus on how this problem can be addressed by Transformers with the help of deep learning.
Smart Data Collective
OCTOBER 30, 2019
Small businesses often need to set up a digital infrastructure with a unified server. Without a network, you essentially don’t have a framework or ecosystem for your business. When a small business network is set up, it allows different computers to communicate with the internet, one another, and other devices. With the set-up of a small business network comes many different considerations and things to keep in mind, and security along with general functionality are top priorities.
Speaker: David Bard, Principal at VP Product Coaching
In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.
KDnuggets
OCTOBER 30, 2019
While AutoML started out as an automation approach to develop optimal machine learning pipelines, extensions of AutoML to Data Science embedded products can now enable the processing of much more, including temporal relational data.
Nutanix
OCTOBER 30, 2019
Over the years, we’ve heard a lot about datacenter “nightmares” companies experienced before adopting hyperconverged infrastructure—things like hair-pulling IT complexity, silos, high costs, and more.
KDnuggets
OCTOBER 30, 2019
This week in KDnuggets: Feature Selection: Beyond feature importance?; Time Series Analysis: A Simple Example with KNIME and Spark; 5 Advanced Features of Pandas and How to Use Them; How to Measure Foot Traffic Using Data Analytics; Introduction to Natural Language Processing (NLP); and much, much more!
datapine
OCTOBER 30, 2019
Historically, the terms data report or business report haven’t got the crowds excited. Data reports have always been important for businesses. However, they have been a necessary evil, created by analysts and consultants. The term usually conjures up images of static PDFs, old-school PowerPoint slides and big tables. Usually created with past data without the possibility to generate real-time or future insights, these reports were obsolete, comprised of numerous external and internal files, with
Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage
Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.
KDnuggets
OCTOBER 30, 2019
Also: Highest paid positions in 2019 are DevOps, Data Scientist, Data Engineer (all over $100K) - Stack Overflow Salary Calculator, Updated; A neural net solves the three-body problem 100 million times faster; The Last SQL Guide for Data Analysis You’ll Ever Need; How YouTube is Recommending Your Next Video.
Srividya Sridharan
OCTOBER 30, 2019
In 2020 companies will become laser-focused on AI value and accelerate adoption. Get Forrester's top 3 predictions for AI in 2020.
Dataiku
OCTOBER 30, 2019
If you judged by the number of times the phrase “artificial intelligence” was used at NRF 2019 - Retail’s Big Show and Expo , you would think that advanced solutions are being rolled out across every retail enterprise. Yet aside from huge strides being made by behemoth pure digital players in the space, the reality is that the AI maturity level in this industry is still relatively low.
Smart Data Collective
OCTOBER 30, 2019
Many of our colleagues have written extensively about the impact big data is having on the gaming industry. They have said that big data technology is probably the biggest game changer in the industry. Kevin Rands of CIO is one of the experts to discuss the state of big data in the gaming industry. He said big data analysis gives companies a long-term strategy that helps them gain the strongest competitive edge.
Speaker: Jon Harmer, Product Manager for Google Cloud
Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.
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