Analytics Vidhya

JULY 22, 2019

Overview Linear algebra powers various and diverse data science algorithms and applications Here, we present 10 such applications where linear algebra will help you. The post 10 Powerful Applications of Linear Algebra in Data Science (with Multiple Resources) appeared first on Analytics Vidhya.

Data Science 305

Data Science Analytics Machine Learning 305

Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. This blog post provides a concise session summary, a video, and a written transcript. Session Summary. At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

BizAcuity

JULY 22, 2019

This is the era of IoT (the Internet of Things). One where every sector around us, right from transport, retail and manufacturing to automobiles, is undergoing a major transformation. Fleet management is the latest to join this revolution. Today, the science and study of fleet management is transforming the way traditional fleets were managed. The confluence of connected gadgets, networks, and its consequent by-product of big data is enhancing the impact of fleet management.

IoT 93

IoT Management Internet of Things Optimization 93

Smart Data Collective

JULY 22, 2019

Big or small, every business needs good tools to analyze data and develop the most suitable business strategy based on the information they get. Business intelligence tools are means that help companies get insights from their data and get a better understanding of what directions and trends to follow. Regardless of the scale of your business, implementing the right business intelligence tool can help you get more use of your data than ever and drive more profit.

Business Intelligence 79

Business Intelligence Cost-Benefit Dashboards Visualization 79

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

Andrew White

JULY 22, 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. Adam Ronthal goes right into “number 1” with a new note that explores the evolving database market.

Analytics 56

Analytics Interactive Marketing 56

Smart Data Collective

JULY 22, 2019

Cyberattacks are becoming more prevalent these days. A study by Juniper Research estimates that they will cost global companies $2 trillion in 2019! One of the reasons the cost is rising is due to an increase in social engineering and AI by savvy hackers. Social engineering is used in many online scams. A growing number of hackers are using it in lieu of old school, brute force hacking strategies.

Machine Learning 70

Machine Learning Predictive Analytics Consulting Data-driven 70

IBM Big Data Hub

JULY 22, 2019

Learn about mastering IT complexity with integrated planning from Forrester VP and principal analyst Bobby Cameron.

IT 60

IT 60

Data Insight

JULY 22, 2019

What happens if we run that campaign? Who’s going to be affected if we make this change? How do we know what good looks like? Data can be a valuable asset, helping drive business effectiveness and decision-making. Yet businesses often fail to ask the right questions of their data in order to realise its ultimate potential. Here are the top five questions you should be asking your data analysts in order to get the most out of your data. 1.

Measurement 40

Measurement Data-driven Reporting Strategy 40

Perceptual Edge

JULY 22, 2019

Simply stated, data sensemaking is what we do to make sense of data. We do this in an attempt to understand the world, based on empirical evidence. Those who work to make sense of data and communicate their findings are data sensemakers. Data sensemaking, as a profession, is currently associated with several job titles, including data analyst, business intelligence professional, statistician, and data scientist.

Sales 73

Sales Uncertainty Statistics Business Intelligence 73

Smart Data Collective

JULY 22, 2019

. We live in the age of the cryptocurrency craze, which has brought on a new level of complexity to cybersecurity. Keeping your digital coin on a cryptocurrency exchange does provide a more palpable quality to dealing with crypto because it keeps the liquid cash within hand’s reach, but this is not necessarily the safest move you could make. Thankfully, there are several viable methods you could use in order to properly protect your data on a crypto exchange.

Measurement 65

Measurement IT Strategy 65

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