KDnuggets

MARCH 9, 2020

Upgrading your machine learning, AI, and Data Science skills requires practice. To practice, you need to develop models with a large amount of data. Finding good datasets to work with can be challenging, so this article discusses more than 20 great datasets along with machine learning project ideas for you to tackle today.

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Analytics Vidhya

MARCH 8, 2020

Introduction spaCy is my go-to library for Natural Language Processing (NLP) tasks. I’d venture to say that’s the case for the majority of NLP. The post spaCy Tutorial to Learn and Master Natural Language Processing (NLP) appeared first on Analytics Vidhya.

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Data Science 101

MARCH 13, 2020

Elements of Data Science by Allen Downey is a freely available textbook. It consists of Jupyter Notebooks on Google Colab, so you can view and edit code if you want. This could be a great way to begin your data science and programming journey. The post Elements of Data Science – A free Jupyter Notebook Textbook appeared first on Data Science 101.

Data Science 140

Data Science 140

Smart Data Collective

MARCH 13, 2020

It doesn’t matter what the project or desired outcome is, better data science workflows produce superior results. But if you’re still working with outdated methods, you need to look for ways to fully optimize your approach as you move forward. 5 Tips for Better Data Science Workflows. Data science is a complex field that requires experience, skill, patience, and systematic decision-making in order to be successful.

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Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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KDnuggets

MARCH 10, 2020

Has coronavirus impacted your conference or other travel plans, and do you anticipate it causing further professional or educational disruption in the near future? Take part in the new KDnuggets poll and have your say.

Machine Learning 324

Machine Learning Machine Learning Data Science AI 324

Analytics Vidhya

MARCH 9, 2020

Learn how to build a decision tree model using Weka This tutorial is perfect for newcomers to machine learning and decision trees, and those. The post Build a Decision Tree in Minutes using Weka (No Coding Required!) appeared first on Analytics Vidhya.

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Smart Data Collective

MARCH 13, 2020

Big data has opened up a can of worms when it comes to online privacy. A poll cited by Broadband Now shows that 95% of Americans are concerned about their online privacy, but only 50% are taking action to safeguard it. This has opened up discussions about the benefits of online proxies. Concerns about online privacy have peaked this week. A bipartisan bill by Senators Dianne Feinstein and Linsey Graham would require online platforms to make messages unencrypted.

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KDnuggets

MARCH 8, 2020

For the international women's day, we feature resources to help more women enter and succeed in AI, Big Data, Data Science, and Machine Learning fields.

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Analytics Vidhya

MARCH 10, 2020

Starting your Deep Learning Career? Deep learning can be a complex and daunting field for newcomers. Concepts like hidden layers, convolutional neural networks, backpropagation. The post Getting into Deep Learning? Here are 5 Things you Should Absolutely Know appeared first on Analytics Vidhya.

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Data Science 101

MARCH 7, 2020

Lots of happenings this week. The Cloud Data Science world is keeping busy. Also, the coronavirus is affecting many upcoming conferences, so just be aware of that. News. Honeywell has announced the development of the most powerful quantum computer in the world They are partnering with Microsoft Azure so eventually it will be a part of Azure Quantum Google Cloud Speech to Text got many updates It now supports 7 new languages, has better punctuation, understand whom is speaking, and more Google Cl

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Database

Alation

MARCH 10, 2020

In a spirit of sharing and transparency, in this post we’ll share the policy that we have adopted at Alation in approaching work during this Coronavirus outbreak. We announced this policy to our employees on Friday, March 6, 2020. It was the time when they loved each other best, without hurry or excess, when both […]. The post Work in the time of Coronavirus appeared first on Alation.

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KDnuggets

MARCH 9, 2020

In this article, we are listing down some excellent data science books which cover the wide variety of topics under Data Science.

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Analytics Vidhya

MARCH 13, 2020

Pivot tables – the Swiss Army Knife of data analysis I love how quickly I can analyze data using pivot tables. With one click. The post Here’s How to Build a Pivot Table using Pandas in Python appeared first on Analytics Vidhya.

Python 357

Python Data Analysis Data Analysis Analytics 357

Data Science 101

MARCH 13, 2020

Elements of Data Science by Allen Downey is a freely available textbook. It consists of Jupyter Notebooks on Google Colab, so you can view and edit code if you want. This could be a great way to begin your data science and programming journey. The post Elements of Data Science – A free Jupyter Notebook Textbook appeared first on Ryan Swanstrom.

Data Science 52

Data Science 52

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

DeepMind

MARCH 10, 2020

Our goal is to use visual grounding to improve unsupervised word mapping between languages. The key idea is to establish a common visual representation between two languages by learning embeddings from unpaired instructional videos narrated in the native language.

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KDnuggets

MARCH 13, 2020

After spending a lot of time thinking about the paths that software companies take toward ML maturity, this framework was created to follow as you adopt ML and then mature as an organization. The framework covers every aspect of building a team including product, process, technical, and organizational readiness, as well as recognizes the importance of cross-functional expertise and process improvements for bringing AI-driven products to market.

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Analytics Vidhya

MARCH 11, 2020

Introduction to Random Forest What’s the first image that comes to your mind when you think about Random Forest? It conjures up images of. The post A Beginner’s Guide to Random Forest Hyperparameter Tuning appeared first on Analytics Vidhya.

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Analytics Analytics Decision Trees Data Visualization 339

DataRobot

MARCH 11, 2020

You’ve heard about how AI and machine learning are transforming businesses across industries and around the world, but you don’t know how they’ve done it or even where to start. Figuring out the right problems to solve with machine learning can be a daunting exercise. Where are the good opportunities to leverage AI within your organization? What problems are best solved with AI?

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Machine Learning Machine Learning AI AI 21

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.

Data Science

Smart Data Collective

MARCH 12, 2020

Fire safety technology is changing in interesting ways. Worcester Polytechnic Institute has the only graduate fire protection engineering program in the United States. Professors at this school have said that big data is becoming more integral to the fire protection field. Big Data Finds New Applications in Fire Safety. Data analytics is a pretty hot topic right now.

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KDnuggets

MARCH 9, 2020

Game theory is experiencing a renaissance driven by the evolution of AI. What are some classic and new ideas that data scientists should be aware of.

Machine Learning 312

Machine Learning Machine Learning Data Scientist AI 312

Analytics Vidhya

MARCH 11, 2020

Introduction For loops are the antithesis of efficient programming. They’re still necessary and are the first conditional loops taught to Python beginners but in. The post What are Lambda Functions? A Quick Guide to Lambda Functions in Python appeared first on Analytics Vidhya.

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DataCentric podcast

MARCH 9, 2020

Now that we've seen earnings from all of the tier-one infrastructure players, hosts Steve McDowell & Matt Kimball talk about what the flat-to-down quarter means to the overall enterprise infrastructure market. There are earnings from Dell Technologies, Hewlett Packard Enterprise, Vmware, as well as other recent earnings announcements, that give us color.

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AI AI 52

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Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

Analytics

KDnuggets

MARCH 13, 2020

I train a series of Machine Learning models using the iris dataset, construct synthetic data from the extreme points within the data and test a number of Machine Learning models in order to draw the decision boundaries from which the models make predictions in a 2D space, which is useful for illustrative purposes and understanding on how different Machine Learning models make predictions.

Machine Learning 265

Machine Learning Machine Learning 265

Analytics Vidhya

MARCH 12, 2020

Introduction TensorFlow is a popular and leading open-source framework for developing machine learning and deep learning applications. Developed and pioneered by Google, TensorFlow is. The post Top Highlights from TensorFlow Dev Summit 2020! appeared first on Analytics Vidhya.

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KDnuggets

MARCH 12, 2020

Automating the analysis of customer feedback will sound like a great idea after reading a couple hundred reviews. Building an NLP solution to provide in-depth analysis of what your customers are thinking is a serious undertaking, and this guide helps you scope out the entire project.

Analytics 269

Analytics Analytics 269

KDnuggets

MARCH 10, 2020

Just getting started with Python's Pandas library for data analysis? Or, ready for a quick refresher? These 7 steps will help you become familiar with its core features so you can begin exploring your data in no time.

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Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.

Analytics

KDnuggets

MARCH 13, 2020

This articles outlines 5 sets of tools every lazy full-stack data scientist should use.

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Machine Learning Machine Learning Data Scientist 352

KDnuggets

MARCH 11, 2020

Let's talk about covid-19; the reality, the numbers, and the data science.

Data Science 371

Data Science Data Analysis Data Analysis 371

KDnuggets

MARCH 11, 2020

Math for Programmers teaches you the math you need to know for a career in programming, concentrating on what you need to know as a developer.

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KDnuggets

MARCH 12, 2020

A new optimization framework helps to incorporate fairness constraints in machine learning models.

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Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.