December, 2019

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An Exhaustive Guide to Detecting and Fighting Neural Fake News using NLP

Analytics Vidhya

Overview Neural fake news (fake news generated by AI) can be a huge issue for our society This article discusses different Natural Language Processing. The post An Exhaustive Guide to Detecting and Fighting Neural Fake News using NLP appeared first on Analytics Vidhya.

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10 Free Top Notch Machine Learning Courses

KDnuggets

Are you interested in studying machine learning over the holidays? This collection of 10 free top notch courses will allow you to do just that, with something for every approach to improving your machine learning skills.

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Automated Knowledge in 2020: What to expect from AI & Machine Learning

Dataconomy

The year 2019 will be remembered in the software world as the year when containerization, cloud native architectures, and Machine Learning broke out into the mainstream. As we approach the end of the decade, it’s time to look forward to the year 2020 and make some predictions about where these. The post Automated Knowledge in 2020: What to expect from AI & Machine Learning appeared first on Dataconomy.

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Introduce Children to Machine Learning

Data Science 101

It is Computer Science Education Week and in 2019 Machine Learning and Artificial Intelligence are two of the most popular and influential topics in technology. That is why I was so excited when Code.org launched a training specifically aimed at the topics. It is called AI for Oceans and it is geared for children (or really anyone, I had fun with it and so did my children).

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Navigating the Future: Generative AI, Application Analytics, and Data

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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Is Predictive Analytics Revealing Unexplored eCommerce Niches?

Smart Data Collective

Predictive analytics is one of the biggest disruptive technologies shaping the eCommerce industry. IQLECT published an article on this last year titled The Importance of Predictive Analytics for E-commerce Stores. The article pointed out that companies have lagged implementing predictive analytics technology, due to cost and complexity concerns. However, this has changed as new AI technology has become more widely available.

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2020 MLB Free Agency Predictions

DataRobot

This blog provides a unique take on using machine learning to predict free agent signings in the off-season. MLB’s Hot Stove season has begun and several big contracts have already been handed out to Zack Wheeler, Yasmani Grandal, Will Smith, and more. However, over 90% of this year’s free agent class remains unsigned, including the big three of Gerritt Cole, Stephen Strasburg, and Anthony Rendon.

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10 Best and Free Machine Learning Courses, Online

KDnuggets

Getting ready to leap into the world of Data Science? Consider these top machine learning courses curated by experts to help you learn and thrive in this exciting field.

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Bridging the CDO talent gap: Top Three skills a CDO needs

Dataconomy

Here is a look at what a CDO means to your organization and what are the skills you need to hunt for while hiring them. The last decade alone has seen exponential growth in organizational data. Whether by accident or design, the amount of data available to every business has. The post Bridging the CDO talent gap: Top Three skills a CDO needs appeared first on Dataconomy.

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Qualifications to Become a Data Analyst

Data Science 101

Data Analysis as a career. Do you know which the sexiest job of the 21st Century is? As per the Harvard Business Review , it is Data Scientist. Though, technically, Data Scientists are a few notches above Data Analysts, becoming a Data Analyst makes it easier for you to become a Data Scientist. Picking a career is one of the most critical decisions that we need to take.

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OMSCS CS6200 (Introduction to OS) Review and Tips

Eugene Yan

OMSCS CS6200 (Introduction to OS) - Moving data from one process to another, multi-threaded.

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Get Better Network Graphs & Save Analysts Time

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.

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4 Industries Shaken By The Artificial Intelligence Revolution

Smart Data Collective

Artificial intelligence has had a profound impact on our lives. A study by Tractica found that the global AI market is projected to grow to $118.6 billion within the next six years. The market for artificial intelligence technology is growing largely due to the number of industries that depend on it. Almost every industry can use AI technology in some capacity.

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5 Weird and Hilarious Uses of Data Science

Analytics Vidhya

Introduction “Ripley’s Believe or Not” features some of the weirdest and most bizarre facts from around the world. How about creating our own Ripley’s. The post 5 Weird and Hilarious Uses of Data Science appeared first on Analytics Vidhya.

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Data Science Curriculum Roadmap

KDnuggets

What follows is a set of broad recommendations, and it will inevitably require a lot of adjustments in each implementation. Given that caveat, here are our curriculum recommendations.

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Lessons from the Basketball Court for Data Management

Dataconomy

A data management plan in a company is not something that can be implemented in isolation by one department or a team in your organisation, it is rather a collective effort – similar to how different players perform in a basketball court. From the smallest schoolyard to the biggest pro. The post Lessons from the Basketball Court for Data Management appeared first on Dataconomy.

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Understanding User Needs and Satisfying Them

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.

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Sign the new AI Manifesto

Data Science 101

Much like the Agile Manifesto for Software Development, a new AI Manifesto has emerged from David “Gonzo” Gonzalez & Ben Taylor. It is currently open for signatures, so please go sign. AI Manifesto.

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Reflecting on the Past Decade in Analytics

DataRobot Blog

by Jen Underwood. 2010. What was hot and what was not? From what I can remember, in-memory analytics, mobile BI, OLAP cubes and easier to use drag-and-drop analytics tools got all the buzz. Read More.

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What To Know About The Essence Of AI In Video Editing In 2020

Smart Data Collective

Artificial intelligence is playing a very important role in the future of video editing. Anybody that works in the profession should learn how to use AI technology to get the most value out of their videos. How can you use AI to benefit as a video editor ? Intelligent HQ founder Dinis Guarda has talked about some of the benefits of artificial intelligence for video editing in this article.

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6 Challenging Open Source Data Science Projects to Make you a Better Data Scientist

Analytics Vidhya

Overview Here are 6 challenging open-source data science projects to level up your data scientist skillset There are some intriguing data science projects, including. The post 6 Challenging Open Source Data Science Projects to Make you a Better Data Scientist appeared first on Analytics Vidhya.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

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.

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What is the most important question for Data Science (and Digital Transformation)

KDnuggets

With so many buzzwords surrounding AI and machine learning, understanding which can bring business value and which are best left in the lab to mature is difficult. While machine learning offers significant power in driving digital transformations, a business must start with the right questions and leave the math to the development teams.

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Demand for Data Scientists Far Exceeds Supply. Here’s How Your Company Can Cope

Dataconomy

Data Science is described as “the career of the future,” but finding Data Scientists for your company could be a major challenge. Here is how you could find one for your company. As demand keeps growing for people with the expertise to manage, analyze and safely store ever-larger sets of. The post Demand for Data Scientists Far Exceeds Supply. Here’s How Your Company Can Cope appeared first on Dataconomy.

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Cloud Data Science News – Beta 8

Data Science 101

It is the days between Christmas and New Years, so the there is not much news to share. Here are the few bits of information I could find. News. AWS Deep Learning Containers now support Tensorflow 2.0 AWS Deep Learning Containers are docker images which are preconfigured for deep learning tasks. Now they support Tensorflow 2.0. Videos. An intro to Azure FarmBeats An innovative idea to bring data science to farmers.

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hxp 36C3 CTF Writeups

Shreyansh Singh

The hxp CTF happens every year along with the Chaos Communication Congress (a top security conference). This year was the 36th edition. This CTF is a major CTF, you know this when the CTF has a rating weight of 63.0 on CTFTime. Also, it is one of the qualifier events of DEFCON 2020 CTF. I was playing solo on this one and gave one day to this CTF. I managed to solve 2 problems in the main CTF and 2 in the Junior CTF.

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Manufacturing Sustainability Surge: Your Guide to Data-Driven Energy Optimization & Decarbonization

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.

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Big Data Sets Impressive New Standards On Integrated Business Systems

Smart Data Collective

In 2013, Wired published a very interesting article about the role of big data in the field of integrated business systems. Author James Kobielus, the lead AI and data analyst for Wikibon and former IBM expert, said that there are a number of ways that integrated business systems are tapping the potential of AI and big data. -Kobielus points out that every vertical is finding ways to use big data to improve its competitive advantages.

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How to use a Machine Learning Model to Make Predictions on Streaming Data using PySpark

Analytics Vidhya

Overview Streaming data is a thriving concept in the machine learning space Learn how to use a machine learning model (such as logistic regression). The post How to use a Machine Learning Model to Make Predictions on Streaming Data using PySpark appeared first on Analytics Vidhya.

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Interpretability part 3: LIME and SHAP

KDnuggets

The third part in a series on leveraging techniques to take a look inside the black box of AI, this guide considers methods that try to explain each prediction instead of establishing a global explanation.

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Picks on AI trends from Data Natives 2019

Dataconomy

A sneak-peek into a few AI trends we picked for you from Data Natives 2019 – Europe’s coolest Data Science gathering. We are about to enter 2020, a new decade in which Artificial Intelligence is expected to dominate almost all aspects of our lives- the way we live, the way. The post Picks on AI trends from Data Natives 2019 appeared first on Dataconomy.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

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.

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Cloud Data Science News in 60, Beta 7

Data Science 101

It’s Christmas week, but there has been some data science news recently. You can see all the details at Cloud Data Science News, Beta 7 or you can watch the 60 second video. Thanks for watching and Merry Christmas!

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How explainable AI fails and what to do about it

Depends on the Definition

This article heavily relys on "Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead" by Cynthia Rudin and finally on some of my personal experiences. I will mainly focus on technical issues and leave out most of the governance and ethics related issues that derive from these.

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How To Transform The Customer Journey With AI And Big Data

Smart Data Collective

Providing excellent customer service needs to be a priority for every business. Think of your customer service department as the personality of your brand. It is also the reason why people will choose your products and services on a repeated basis. It is quite simple really, with no customers, there is no company. The path that consumers travel on to make a purchase, is called the “customer journey.

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10 Exciting Real-World Applications of AI in Retail

Analytics Vidhya

Overview The rise of artificial intelligence (AI) has disrupted many industries in recent years One of the most impacted industries – retail! Retail operations. The post 10 Exciting Real-World Applications of AI in Retail appeared first on Analytics Vidhya.

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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

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.