KDnuggets

JANUARY 9, 2020

This book is thought for beginners in Machine Learning, that are looking for a practical approach to learning by building projects and studying the different Machine Learning algorithms within a specific context.

Machine Learning 157

Machine Learning 157

erwin

JANUARY 9, 2020

Enterprises are trying to manage data chaos. They might have 300 applications, with 50 different databases and a different schema for each one. They also face increasing regulatory pressure because of global data regulations , such as the European Union’s General Data Protection Regulation (GDPR) and the new California Consumer Privacy Act (CCPA), that went into effect last week on Jan. 1.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

KDnuggets

JANUARY 9, 2020

Data Scientists work with tons of data, and many times that data includes natural language text. This guide reviews 7 common techniques with code examples to introduce you the essentials of NLP, so you can begin performing analysis and building models from textual data.

Modeling 158

Modeling 158

Darkhorse

JANUARY 9, 2020

In that last post , we introduced the concept of The Visualization Frontier. It’s a simple rubric to measure the effectiveness of your data visualization. We defined effectiveness as the combination of clarity and engagement. The closer you are to the red line, the more effective you are. (We hinted at the possibility that the red line is not the same for everyone - that it’s tied to your capability as a data visualizer.

Visualization 100

Visualization Interactive Data Processing Dashboards 100

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

KDnuggets

JANUARY 9, 2020

Time series analysis will be the best tool for forecasting the trend or even future. The trend chart will provide adequate guidance for the investor. So let us understand this concept in great detail and use a machine learning technique to forecast stocks.

Forecasting 107

Forecasting Marketing Machine Learning Finance 107

Sisense

JANUARY 9, 2020

Blog. Sisense News is your home for corporate announcements, new Sisense features, product innovation, and everything we roll out to empower our users to get the most out of their data. New name, same commitment to empowering data teams. Earlier this month, we made a decision to officially rename Periscope Data as Sisense for Cloud Data Teams. This change is a symbol of the strength of the combined product, which has evolved to a point where tools for advanced data analysts and line-of-business

Data Warehouse 93

Data Warehouse Data-driven Technology Visualization 93

KDnuggets

JANUARY 9, 2020

Earn a Master of Professional Studies in Data Analytics online through Penn State World Campus – and you can add in-demand skills to your wheelhouse while you continue to work.

Data Science 59

Data Science Data Analytics Analytics 59

Andrew White

JANUARY 9, 2020

Digital is a reality. It is evolving to accommodate and exploit AI to help automate work and drive innovation; and so the hype around AI and ML continues. For an increasing number of organizations, leaders are beginning to ask, “Where is the beef?” All the proof of concepts and investments need to start paying the bills. See Toolkit: Presentation for Key Findings From the 2020 Board of Directors Survey.

Machine Learning 59

Machine Learning Data Science Technology IT 59

Jet Global

JANUARY 9, 2020

Business intelligence (BI) analytic tools have been all of the rage for years now. Any IT team worthy of their name has invested in tools like Power BI, Tableau, Qlik, or Domo. And we won’t lie: These tools are really cool for certain functions. They can make your business data pretty and easy to understand, no doubt. But what’s the business value of highly visualized data if it’s not accurate or if it doesn’t connect you to your actual business strategy?

Management 52

Management Analytics Visualization Dashboards 52

ScienceSoft

JANUARY 9, 2020

Explore our step-by-step guide on how to build a data warehouse avoiding possible risks.

Data Warehouse 52

Data Warehouse Risk 52

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

DataRobot

JANUARY 9, 2020

It’s a new year and a new decade, so we’re tapping into the minds of some of our leading industry experts and general managers (GMs) to find out what big trends they see emerging in the coming months. Learn more about AI demand forecasting for retailers, spatial data for sports analytics, and much more.

Management 17

Management Forecasting Analytics 17

Nutanix

JANUARY 9, 2020

Description

20

20

Dataiku

JANUARY 9, 2020

Just before the end of 2019, we shared with you our ranking of last year's best talks from EGG - the human-centered AI conference which brought together over 3,000 people across 6 cities around the hot topics of machine learning interpretability, bias, fairness, and more.

Finance 9

Finance Machine Learning 9

Jedox

JANUARY 9, 2020

Zero-Based Budgeting is a unique accounting practice with specific advantages and disadvantages. It forces businesses to think about how each and every expense is managed in a specific budgeting period. A detailed spending plan is still the fastest way to achieve your finance goals. In general, a budget can be used to determine where every single cent should go each month.

Finance 84

Finance Forecasting Publishing Strategy 84

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

Insight

JANUARY 9, 2020

Answer: Each of us does it a little differently! Six Insight team members (and many Insight alumni) descended upon Orlando at the beginning of October, along with over 25,000 others to celebrate women in computing at the 2019 Grace Hopper Celebration. In this post, I’ll reference the GHC schedule here. View of the Orange County Convention Center in Orlando, FL on Day 1 of GHC19.

Data Processing 83

Data Processing Recreation/Entertainment Data Science Machine Learning 83