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.
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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
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
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 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 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.
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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
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 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.
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 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: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com
Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.
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 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.
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
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: Jay Allardyce, Deepak Vittal, and Terrence Sheflin
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
Data Science 101
DECEMBER 4, 2019
Azure Machine Learning allows a person to have multiple Workspaces. It is not clearly obvious how to switch to a different Workspace. This video will provide a quick example of how to switch to a different Workspace.
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.
Shreyansh Singh
DECEMBER 2, 2019
I couldn’t give much time to the CTF because of some college work, but I gave a shot at the PWN challenges. The challenges became offline later but I still decided to work on the exploit scripts to make them work locally. Pwn Challenges thefirst - 379 pts We can see in the image below that gets is being used to take the input. Hence it can be exploited for buffer overflow.
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.
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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.
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
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 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 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: Nikhil Joshi, Founder & President of Snic Solutions
Is your manufacturing operation reaching its efficiency potential? A Manufacturing Execution System (MES) could be the game-changer, helping you reduce waste, cut costs, and lower your carbon footprint. Join Nikhil Joshi, Founder & President of Snic Solutions, in this value-packed webinar as he breaks down how MES can drive operational excellence and sustainability.
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 6, 2019
In this article, I will present five techniques to prevent overfitting while training neural networks.
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 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: Anindo Banerjea, CTO at Civio & Tony Karrer, CTO at Aggregage
When developing a Gen AI application, one of the most significant challenges is improving accuracy. This can be especially difficult when working with a large data corpus, and as the complexity of the task increases. The number of use cases/corner cases that the system is expected to handle essentially explodes. 💥 Anindo Banerjea is here to showcase his significant experience building AI/ML SaaS applications as he walks us through the current problems his company, Civio, is solving.
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