KDnuggets
DECEMBER 6, 2019
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.
Analytics Vidhya
DECEMBER 1, 2019
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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Dataconomy
DECEMBER 5, 2019
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.
Smart Data Collective
DECEMBER 2, 2019
Data science has shifted the existing ether bringing in new marvelous opportunities to many industries. In line with these immense possibilities, comes rapid changes and challenges. And in this case, the travel and tourism industry is no exception here. Travel industry may not be the first to inculcate emerging technology for its benefit, but it sure is benefiting from it now.
Speaker: Tamara Fingerlin, Developer Advocate
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
KDnuggets
DECEMBER 3, 2019
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.
Analytics Vidhya
DECEMBER 4, 2019
Overview Image augmentation is a super effective concept when we don’t have enough data with us We can use image augmentation for deep learning. The post Image Augmentation for Deep Learning using PyTorch – Feature Engineering for Images appeared first on Analytics Vidhya.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Data Science 101
NOVEMBER 30, 2019
I have been recording these quick 60 second videos, so I thought I would share on the blog.
KDnuggets
DECEMBER 4, 2019
What is Explainability in AI and how can we leverage different techniques to open the black box of AI and peek inside? This practical guide offers a review and critique of the various techniques of interpretability.
Analytics Vidhya
DECEMBER 3, 2019
Overview Intrigued by Apple’s iOS apps? Learn how to build Natural Language Processing (NLP) iOS apps in this article We’ll be using Apple’s Core. The post Create Natural Language Processing-based Apps for iOS in Minutes! (using Apple’s Core ML 3) appeared first on Analytics Vidhya.
Smart Data Collective
DECEMBER 4, 2019
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.
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
DataRobot
DECEMBER 2, 2019
DataRobot was founded in 2012 with the vision that enterprise AI has the potential to deliver transformational power to organizations around the world. Today, we’re seeing that vision play out as AI has become a business imperative, helping to turn data into real business impact. There isn’t a day that goes by without a story in mainstream publications, like The Wall Street Journal or The New York Times , talking about how AI is transforming lives or helping companies reinvent themselves.
KDnuggets
DECEMBER 6, 2019
In this article, I will present five techniques to prevent overfitting while training neural networks.
Analytics Vidhya
DECEMBER 2, 2019
“I have applied for various data science roles but I always get rejected because of a lack of experience.” This is easily the most. The post Data Science Immersive Bootcamp – Hands-on Internship with Job Guarantee! appeared first on Analytics Vidhya.
Smart Data Collective
DECEMBER 1, 2019
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.
Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives
Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri
Data Science 101
DECEMBER 5, 2019
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.
KDnuggets
DECEMBER 5, 2019
Increase your confidence to perform data cleaning with a broader perspective of what datasets typically look like, and follow this toolbox of code snipets to make your data cleaning process faster and more efficient.
DataRobot
DECEMBER 4, 2019
As AI adoption increases among all business verticals, executives are seeking ways to mitigate risk and understand how AI bias diminishes AI effectiveness or, worse yet, increases company risk.
Smart Data Collective
DECEMBER 5, 2019
In June, Aviation Today published a great article on the state of machine learning and AI in the airline industry. The article showed that machine learning and AI are helping the industry become more lucrative in the 21 st Century. The airline industry has started relying more on machine learning technology as new challenges threaten to cripple its business.
Speaker: Frank Taliano
Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.
Data Science 101
DECEMBER 3, 2019
Building a data strategy is a great idea. It helps to avoid many of the Challenges of a Data Science Projects. However, there are many questions to address before getting started. Below is a list of some of those questions. General Questions Before Starting a Data Strategy. Do you have a process for solving problems involving data? What are the biggest challenges in your business?
KDnuggets
DECEMBER 2, 2019
The world still cannot be reduced to numbers on a page because human beings are still the ones making all the decisions. So, the best data scientists understand the numbers and the people. Check out these great data science books that will make you a better data scientist without delving into the technical details.
DataRobot
DECEMBER 5, 2019
AI has taken the world by storm. Organizations around the world and across industries are ready to embed AI across their teams and business functions. Yet, despite the increased adoption of AI, recent research from IDC has found “that half of AI projects fail for one in four companies on average,” and “the two leading reasons for an AI project failing are a lack of required skills and unrealistic expectations.” ( Artificial Intelligence Global Adoption Trends and Strategies, June 2019).
Smart Data Collective
DECEMBER 6, 2019
Big data is changing the way we live in tremendous ways. One impact of big data is the way that it influences employee scheduling. Employee scheduling technology has been around for a long time. However, big data has led to a number of new features that are making it more reliable than ever. Employee Scheduling Features that Are the Result of Big Data.
Speaker: Chris Townsend, VP of Product Marketing, Wellspring
Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?
Data Science 101
DECEMBER 6, 2019
Huge week of machine learning news from Amazon. This week Amazon hosted the large AWS re:Invent Conference. And there are…tons… of machine learning announcements from that event. Announcements. Amazon SageMaker Studio A browser-based Integrated Development Environment (IDE) for machine learning. This is going to be very helpful. Amazon SageMaker Experiments Allows for organizing, tracking, and comparing of machine learning models.
KDnuggets
DECEMBER 5, 2019
Deep learning models are revolutionizing the business and technology world with jaw-dropping performances in one application area after another. Read this post on some of the numerous composite technologies which allow deep learning its complex nonlinearity.
DataRobot
DECEMBER 3, 2019
We recently attended the Telco AI summit in London. Federico Castanedo spoke on a panel about redefining network operations using AI , whilst I delivered the DataRobot keynote on accelerating AI adoption in the industry more generally. We also spoke one-on-one with over fifty telecommunication (telco) decision-makers and had the opportunity to hear other speakers at the event.
Smart Data Collective
DECEMBER 4, 2019
In years past, it was quite the cumbersome task to put together corporate conferences for the dissemination of important information and trends among industry stakeholders. It was only within the last few years that advancements in technology have provided efficient ways to bring large groups of stakeholders together for them to share information. One of the hot topics on the conference circuit today is how business owners and principals can use predictive analysis to run their respective busine
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
Data Science 101
DECEMBER 2, 2019
AWS re:Invent 2019 starts today. It is a large learning conference dedicated to Amazon Web Services and Cloud Computing. Parts of the event will be livestreamed , so you can watch from anywhere. Based upon the announcements last week , there will probably be a lot of focus around machine learning and deep learning.
KDnuggets
DECEMBER 5, 2019
While AI may be the new electricity significant challenges remain to realize AI potential. Here we examine why data scientists and teams can’t rely on software engineering tools and processes for machine learning.
Victor Zhou
NOVEMBER 30, 2019
The bag-of-words (BOW) model is a representation that turns arbitrary text into fixed-length vectors by counting how many times each word appears. This process is often referred to as vectorization. Let’s understand this with an example. Suppose we wanted to vectorize the following: the cat sat the cat sat in the hat the cat with the hat We’ll refer to each of these as a text document.
Smart Data Collective
DECEMBER 5, 2019
It goes without saying that analytics is a data-driven method that has existed with a history of being misunderstood since the beginning of its introduction to the world. Concepts of the same data-centred nature as analytics are concepts that are often misrepresented or otherwise misunderstood because they are relatively fresh innovations in comparison to the more established traditional concepts that the world has grown exceedingly familiar with over the years.
Speaker: Tamara Fingerlin, Developer Advocate
In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!
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