Wed.Aug 07, 2019

A Comprehensive Guide to Build your own Language Model in Python!

Analytics Vidhya

Overview Language models are a crucial component in the Natural Language Processing (NLP) journey These language models power all the popular NLP applications we. The post A Comprehensive Guide to Build your own Language Model in Python! appeared first on Analytics Vidhya.

A Layman’s Guide to Data Science: How to Become a (Good) Data Scientist


How simple is Data Science? Sometimes when you hear data scientists shoot a dozen of algorithms while discussing their experiments or go into details of Tensorflow usage you might think that there is no way a layman can master Data Science.

SaaS Dashboard Examples For Modern Business Management Practices


In the Age of Information, digital technologies have evolved to such an extent that a wealth of tools, applications, and platforms exists to enhance the way businesses operate in a number of areas.

What is Benford’s Law and why is it important for data science?


Benford’s law is a little-known gem for data analytics. Learn about how this can be used for anomaly or fraud detection in scientific or technical publications. 2019 Aug Tutorials, Overviews Anomaly Detection Benford's Law Fraud Detection

Build Product Progress with a Strong Data Culture

Speaker: Nima Gardideh, CTO, Pearmill

Have you ever thought your product's progress was headed in one direction, and been shocked to see a different story reflected in big picture KPIs like revenue? It can be confusing when customer feedback or metrics like registration or retention are painting a different picture. No matter how sophisticated your analytics are, if you're asking the wrong questions - or looking at the wrong metrics - you're going to have trouble getting answers that can help you. Join Nima Gardideh, CTO of Pearmill, as he demonstrates how to build a strong data culture within your team, so everyone understands which metrics they should actually focus on - and why. Then, he'll explain how you can use your analytics to regularly review progress and successes. Finally, he'll discuss what you should keep in mind when instrumenting your analytics.

How Data Analytics Tools Eliminate Business Owner Headaches

Smart Data Collective

Big data has the power to transform any small business. However, many small businesses don’t know how to utilize it. One study found that 77% of small businesses don’t even have a big data strategy. If your company lacks a big data strategy, then you need to start developing one today.

More Trending

Workers’ Compensation Platform Uses Big Data For Better Outcomes

Smart Data Collective

We have talked extensively about the fields that rely most heavily on big data. The insurance industry is one of the companies investing the most in big data technology. Exactly one year ago today, SNS Telecom & IT published a report highlighting the demand for big data in the insurance industry.

Top KDnuggets tweets, Jul 31 – Aug 06: NLP vs. NLU: from Understanding a Language to Its Processing


Also: Ten more random useful things in R you may not know about; 5 Probability Distributions Every Data Scientist Should Know; Machine Learning is Happening Now: A Survey of Organizational Adoption, Implementation, and Investment; Programmers rejoice! Deep TabNine offer code autocompletion with #deeplearning. 2019 Aug Top Stories, Tweets Top tweets

An Integrated Approach to Tackling Financial Institutions’ Data Challenges


This is a guest post from Yannick De Ceulaer, Senior Financial Controller at Arrayo.

Exploratory Data Analysis Using Python


In this tutorial, you’ll use Python and Pandas to explore a dataset and create visual distributions, identify and eliminate outliers, and uncover correlations between two datasets. 2019 Aug News ActiveState Data Analysis Data Exploration Pandas Python

What Is (and Isn’t) Product Management?

Speaker: Steve Johnson, VP of Products, Pragmatic Institute

Product Management is one of the most exciting - and most misunderstood - functions in technical organizations. Is it strategic or tactical? Is it a planning role or a support role? Many product professionals are unclear about what is (and isn't) product management. After all, product management spans many activities from business planning to market readiness. In this session, we’ll examine many product activities and artifacts for product strategy, planning, and growth, and introduce a simple tool that you can use in your organization to clarify the roles of product management and others. Steve Johnson explores the many roles of Product Management in this fun talk focused on why product managers should obsess on problems instead of solutions.

Get Augmented Analytics Advantages Now!


Do You Know the Benefits of Advanced Analytics? Find out Now! The benefits of advanced analytics are many and the current support in the market for business user access and data insight provides expanded advantages of advanced analytics.

Coding Random Forests in 100 lines of code*


There are dozens of machine learning algorithms out there. It is impossible to learn all their mechanics; however, many algorithms sprout from the most established algorithms, e.g. ordinary least squares, gradient boosting, support vector machines, tree-based algorithms and neural networks. 2019 Aug Tutorials, Overviews Algorithms Machine Learning R Random Forests

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Top 5 Data Catalog Benefits: Understanding Your Organization’s Data Lineage


A data catalog benefits organizations in a myriad of ways.

What is a data warehouse and why does your business need one?

3AG Systems

As any good tradesperson knows, you need the right tool for the job. Just ask someone who’s used a screwdriver to assemble furniture how much they would pay for a power drill. The same holds true for working with data.

Dresner Advisory Services’ 2019 Wisdom of Crowds Data Catalog Market Study

The 3rd annual Dresner 2019 Wisdom of Crowds® Data Catalog Market Study explores the strong link between data catalogs and successful BI usage. Learn about the core set of capabilities that make data catalogs critical for self-service analytics.

KDnuggets™ News 19:n29, Aug 7: What 70% of Data Science Learners Do Wrong; Pytorch Cheat Sheet for Beginners


This week on KDnuggets: What 70% of Data Science Learners Do Wrong; Pytorch Cheat Sheet for Beginners and Udacity Deep Learning Nanodegree; How a simple mix of object-oriented programming can sharpen your deep learning prototype; Can we trust AutoML to go on full autopilot?; Ten more random useful things in R you may not know about; 25 Tricks for Pandas; and much more! KDnuggets 2019 Issues Automated Machine Learning Cheat Sheet Data Science Pandas Programming PyTorch R

Being Liquid Is Not Enough; Companies Must Also be Non-Viscous

Data Virtualization

Everything changes so fast, knowing how to adapt is no longer an option but a necessity. Companies now operate in a market that not only moves at an impressive speed, but also changes shape with the same speed. These changes.

Data Governance Solutions for Data Compliance


In the entire history of business, dealing with data has never been easier thanks to advances in computer processing, storage, and networking.

Tutorial: Complete a Kaggle Data Science Competition Fast


At Dataiku, every new member of the team, either marketer or superstar data scientist, learns the Dataiku platform with the Titanic Kaggle Competition. It's such a milestone in the company that our first meeting room was named after it! So here’s a tutorial first Kaggle submission in 5 minutes!

The Magic of Intent: Start Knowing The Goals of Your Users

Speaker: Terhi Hanninen, Senior Product Manager, Zalando, and Dr. Franziska Roth, Senior User Researcher, Zalando

It's important to know your users - what are their preferences, pain points, ultimate goals? With user research and usage data, you can get a great idea of how your users act. The tricky part is, very few users reliably act the same way every time they use your product. Join Terhi Hanninen, Senior Product Manager, and Dr. Franziska Roth, Senior User Researcher at Zalando, as they explain how they were able to reach a new level of user understanding - by taking their user research and segmenting their users by point-in-time intent. You'll leave with a strategy to change how your product team, and organization at large, understands your users.

Cloud Analytic Migrations with Microsoft, Informatica & Teradata?


Teradata partners Microsoft & Informatica announced that they are taking on cloud analytic migrations. Find out what this means for our on-premises customers