Smart Data Collective

SEPTEMBER 9, 2019

. Artificial intelligence is upending the financial management industry in spectacular ways. The majority of machine learning and deep learning solutions have focused on fundamental analysis of securities. However, deep learning and other artificial intelligence technologies will also change the future of technical analysis as well. A number of experts have started analyzing the role of AI in technical analysis.

Deep Learning 64

Deep Learning Forecasting Machine Learning Strategy 64

Analytics Vidhya

SEPTEMBER 9, 2019

Overview Here’s a unique data science challenge we don’t come across often – a marketing analytics hackathon! We bring you the top 3 inspiring. The post WNS Analytics Wizard 2019: Top 3 Winners’ Solutions from our Biggest Data Science Hackathon appeared first on Analytics Vidhya.

Data Science 216

Data Science Analytics Marketing Analytics Marketing 216

Corinium

SEPTEMBER 9, 2019

Tell us about your experience in working with the data analytics community at Outlier? Why do you like working in this space? From the very beginning of Outlier, I have really enjoyed collaborating with others in the data analytics community. Data.

Data Analytics 150

Data Analytics Analytics 150

KDnuggets

SEPTEMBER 9, 2019

This is a collection of 10 interesting resources in the form of articles and tutorials for the aspiring data scientist new to Python, meant to provide both insight and practical instruction when starting on your journey.

Data Science 122

Data Science 122

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.

Experimentation

IBM Big Data Hub

SEPTEMBER 9, 2019

Artificial intelligence and machine learning (ML) have become very popular recently due to their ability to both optimize processes and provide the deep insights that push enterprises and industries forward.

Management 83

Management Machine Learning Optimization Enterprise 83

KDnuggets

SEPTEMBER 9, 2019

In this blog, Seth DeLand of MathWorks discusses two of the most common obstacles relate to choosing the right classification model and eliminating data overfitting.

Machine Learning 114

Machine Learning Modeling 114

KDnuggets

SEPTEMBER 9, 2019

BERT is changing the NLP landscape and making chatbots much smarter by enabling computers to better understand speech and respond intelligently in real-time.

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Teradata

SEPTEMBER 9, 2019

There are a lot of misperceptions about Teradata. Learn more about what Teradata Vantage really is: a cloud-first integrated data and analytics platform.

Data Analytics 63

Data Analytics Analytics 63

KDnuggets

SEPTEMBER 9, 2019

I am really interested in creating a tight, clean pipeline for disaster relief applications, where we can use something like crowd sourced building polygons from OSM to train a supervised object detector to discover buildings in an unmapped location.

Machine Learning 97

Machine Learning 97

Andrew White

SEPTEMBER 9, 2019

Click here for an interactive PDF to connect to the most read data and analytics research directly. This list excludes our branded research such as Magic Quadrants etc. Mike Rollings just published a new presentation ( Presentation: The Foundation of a Modern Data and Analytics Strategy ) from our recent global Data and Analytics Conference on data and analytics strategy.

Analytics 53

Analytics Interactive Strategy Publishing 53

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.

Management

KDnuggets

SEPTEMBER 9, 2019

In this article, we’ll look at research and model architectures that have been written and developed to do just that using deep learning.

Deep Learning 112

Deep Learning Modeling 112

CDW Research Hub

SEPTEMBER 9, 2019

New consumer-based technology provides a patient-centered approach to healthcare. San Antonio, TX—9 September, 2019 — Sirius Computer Solutions, Inc. (Sirius), a leading national IT solutions integrator, and Aceso ® Interactive (Aceso), a premier provider of interactive patient care and digital media solutions, are partnering to raise the bar in patient care through the UpTech and UpCare solutions, Aceso’s next-generation integrated technology platform.

Interactive 40

Interactive Strategy Optimization Technology 40

KDnuggets

SEPTEMBER 9, 2019

Recently, Alphabet’s subsidiaries Waymo and DeepMind partnered to find a more efficient process to train self-driving vehicles algorithms and their work took them back to one of the cornerstones of our history as species: evolution.

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Tim Mitchell

SEPTEMBER 9, 2019

SQL Server Integration Services is equipped with tasks and containers to make it easy to design and maintain the flow of ETL: which logic should be executed, when should it be executed, and how many times should it occur. Most SSIS developers are familiar with the sequence container and the For Each Loop container, which can be used to group. The post Get Started with the For Loop Container in SSIS appeared first on Tim Mitchell.

IT 40

IT 40

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.

Testing

KDnuggets

SEPTEMBER 9, 2019

Also: Python Libraries for Interpretable Machine Learning; TensorFlow vs PyTorch vs Keras for NLP; Advice on building a machine learning career and reading research papers by Prof. Andrew Ng; Object-oriented programming for data scientists: Build your ML estimator.

Machine Learning 52

Machine Learning 52

bridgei2i

SEPTEMBER 9, 2019

CYPHER 2019. BRIDGEi2i is pleased to announce its participation in CYPHER-2019 – the largest analytics conference in India organized by Analytics India Magazine(AIM) in Bangalore. An active participant at CYPHER every year since 2015, this year will see BRIDGEi2i as a Silver Sponsor of the conference, and collaboration partners of the ‘State of AI in India 2019 Report’.

Contextual Data 40

Contextual Data Consulting Data-driven Enterprise 40

Ontotext

SEPTEMBER 9, 2019

My great grandparents were married for more than sixty years. They had a telepathy that comes from living together that long. They could finish each other’s sentences or anticipate when one wanted a coffee or lunch. An exchange could go like this. ‘Remember those figs?’ Grandma said. ‘You’re talking about that holiday to France in ’76 and it wasn’t figs, it was apples.’.

Metadata 99

Metadata Consulting Reporting Technology 99

Domino Data Lab

SEPTEMBER 9, 2019

This article provides a brief introduction to natural language using spaCy and related libraries in Python. The complementary Domino project is also available. Introduction. This article and paired Domino project provide a brief introduction to working with natural language (sometimes called “text analytics”) in Python using spaCy and related libraries.

Deep Learning 110

Deep Learning Machine Learning Visualization Data Science 110

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.

Risk

Ontotext

SEPTEMBER 9, 2019

My great grandparents were married for more than sixty years. They had a telepathy that comes from living together that long. They could finish each other’s sentences or anticipate when one wanted a coffee or lunch. An exchange could go like this. ‘Remember those figs?’ Grandma said. ‘You’re talking about that holiday to France in ’76 and it wasn’t figs, it was apples.’.

Metadata 40

Metadata Consulting Reporting Technology 40