Analytics Vidhya
AUGUST 24, 2021
This article was published as a part of the Data Science Blogathon Introduction To use LRU caching in Python, you just need to add two lines – import and declaration of the @lru_cache decorator. We show with examples how and why to use it. Caching is one approach that, if used correctly, significantly speeds up work […]. The post Caching in Python: the LRU algorithm appeared first on Analytics Vidhya.
David Menninger's Analyst Perspectives
AUGUST 24, 2021
The annual Ventana Research Digital Innovation Awards showcase advances in the productivity and potential of business applications, as well as technology that contributes significantly to the improved processes and performance of an organization. Our goal is to recognize technology and vendors that have introduced noteworthy digital innovations to advance business and IT.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Analytics Vidhya
AUGUST 24, 2021
This article was published as a part of the Data Science Blogathon Introduction Churn prediction is probably one of the most important applications of data science in the commercial sector. The thing which makes it popular is that its effects are more tangible to comprehend and it plays a major factor in the overall profits earned […]. The post Churn Prediction- Commercial use of Data Science appeared first on Analytics Vidhya.
Smart Data Collective
AUGUST 24, 2021
Analytics technology has helped improve financial management considerably. It is important to know how to use data analytics to improve your budget, cut costs and make sound investment decisions. One way to use analytics is to invest in cryptocurrencies more wisely. You can find some great ways to identify trends in the cryptocurrency industry. However, you can also identify the best digital currencies to invest in.
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.
Analytics Vidhya
AUGUST 24, 2021
This article was published as a part of the Data Science Blogathon Introduction Let’s look at examples of the benefits of nested Python functions and how to use them to encapsulate code, closures, and decorators. Nested (or inner, nested) functions are functions that we define inside other functions to directly access the variables and names defined in […].
Smart Data Collective
AUGUST 24, 2021
Big data has been incredibly valuable in the marketing industry. Countless advertisers are finding new ways to capitalize off of changes in big data and AI. The concept of native advertising has been around for a decade now. The ability to seamlessly integrate commercial content into the surrounding website by mimicking its format and function has allowed companies to reach more consumers than ever before, since the line between advertising and activity is becoming increasingly blurred.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Dataiku
AUGUST 24, 2021
Not everyone has the same level of technical expertise, and it can be easy to get intimidated by the processes and seemingly never-ending nuances of data science. Getting bogged down on necessary but tedious tasks — or complex ones in which you don’t have expertise — can consume valuable time.
Analytics Vidhya
AUGUST 24, 2021
This article was published as a part of the Data Science Blogathon Source In this article, we will try to help you understand/brush up on the basic OOP concepts. Table of Contents: OOP and its importance Class, Instance/Object, __init__ method Creating Classes and Objects Accessing Attributes and Calling methods Variable Types Method Types OOP and its […].
Sisense
AUGUST 24, 2021
Blog. A 2021 McKinsey study showed that overall use of telehealth and health-and-pharma apps during the COVID-19 pandemic rose as much as 38 times over previous figures, yet patients remain unenthusiastic about pharma apps. Pharma companies can change the direction of these trends. Taking a cue from personalized medicine and making judicious use of embedded pharma analytics can evolve apps to help practitioners deliver better care and patients achieve better outcomes.
Analytics Vidhya
AUGUST 24, 2021
This article was published as a part of the Data Science Blogathon Introduction OOP, or Object-Oriented Programming, is a programming paradigm that uses objects and classes to create functional programs. OOPs focus on code modularity, and classes and objects aid in the creation of reusable, simple pieces of code that can be used to build larger […].
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.
Cloudera
AUGUST 24, 2021
Meet Barnabas Maidics. . Barnabas is a 3 year Clouderan working as a Software Engineer in Hungary. . Having started his journey at Cloudera as an intern and then making his way to the Data In Motion team, Barnabas feels his first experience in the real world of work has allowed him to grow, not only professionally but on a personal level as well. He’s always known this was the career path for him.
Analytics Vidhya
AUGUST 24, 2021
Introduction We need to train deeper networks to perform complex tasks. Training a deep neural net has a lot of complications not only limited to overfitting, high computation costs but also have some non-trivial problems. We’re going to address these kinds of problems and how people in the Deep Learning community have solved these. Let’s […].
bridgei2i
AUGUST 24, 2021
Bengaluru, August 24, 2021. BRIDGEi2i Analytics Solutions, a trusted partner to enterprises globally, announced its inclusion in the ‘Leader’ category of the latest Penetration & Maturity Quadrant (PeMa) study conducted by Analytics India Magazine. The Top Data Science Providers in India 2021: Penetration and Maturity (PeMa) Quadrant is an annual benchmarking study to classify vendors based on their analytics capability and maturity.
Teradata
AUGUST 24, 2021
Learn more about Cloud Snapshots, how they compare to traditional backups and how they can be deployed in your architecture to maximize data protection.
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.
Alation
AUGUST 24, 2021
In the previous blog , we discussed the race to the South Pole of 1911-12, and explored how approach was key. A superior approach helped the Norwegian team reach the South Pole before the English team. As you consider your journey to the Snowflake Data Cloud, why might a superior approach matter? We discussed how the Alation Data Catalog helps you get to the Snowflake Data Cloud quickly and safely.
Depict Data Studio
AUGUST 24, 2021
I recently had the chance to be on the Community Possibilities® podcast with Ann Price. Ann owns Community Evaluation Solutions and helps community leaders plan and evaluate strategies to create lasting change. She started the podcast as a way to connect with community leaders to talk about root causes, dig deeper into understanding social and health inequities and to connect by talking with each other instead of at each other.
Jet Global
AUGUST 24, 2021
You’re familiar with the old saying that you should “hope for the best, plan for the worst.” In a rapidly changing world, you can carry that advice a bit further: plan for a range of possible outcomes so that whatever happens, you’ll be in a better position to respond appropriately. Enter scenario modeling. Scenario modeling is the practice of developing financial models based on several possible outcomes, and developing plans around each of those situations.
Expert insights. Personalized for you.
361 
Let's personalize your content