Blogs or Expert Columns
The Cold Start Problem: How to Build Your Machine Learning Portfolio
This post outlines what makes a good machine leaning portfolio, with useful examples to help you begin to understand the type of project that gets noticed by big companies. By Edouard Harris, Founder @SharpestMindsAI (YC W18). I’m a physicist who works at a YC startup. Our job is to help new grads get hired into their first machine learning jobs. Some time ago, I wrote about the things you should do to get hired into your first machine learning job. I said in that post that one thing you should do is build a portfolio of your personal machine learning projects. But I [...]
No-code Machine Learning in Power BI
Can Microsoft democratise AI? The new code-free Power BI integrations with Azure Cognitive Services and Azure Machine Learning are a big step along that road. Modern businesses run on information, but we're drowning in data from line-of-business systems, company databases, the data generated by industrial IoT systems, and all manner of external data. So how can we stay on top of the data we have, in order to get the business insights we need, when good data scientists are rare and expensive to employ? Modern data analysis tools like Tableau and Power BI go a long way to solving some of these problems, [...]
These Portraits Were Made by AI: None of These People Exist
These Portraits Were Made by AI: None of These People Exist Check out these rather ordinary looking portraits. They’re all fake. Not in the sense that they were Photoshopped, but rather they were completely generated by artificial intelligence. That’s right: none of these people actually exist. NVIDIA researchers have published a new paper on easily customizing the style of realistic faces created by a generative adversarial network (GAN). The Verge points out that GAN has only existed for about four years. In 2014, a landmark paperintroduced the concept, and this is what the AI-generated results looked like at the time: In less than half a [...]
Artificial Intelligence System Learns To Diagnose, Classify Intracranial Hemorrhage
Artificial Intelligence System Learns To Diagnose, Classify Intracranial Hemorrhage Mass.-General-developed system able to ‘explain’ reasons behind decisions based on CT scan images Credit: Hyunkwang Lee, Harvard School of Engineering and Applied Sciences, and Sehyo Yune, MD, Massachusetts General Hospital Department of Radiology A team of investigators from the Massachusetts General Hospital (MGH) Department of Radiology has developed a system using artificial intelligence to quickly diagnose and classify brain hemorrhages and to provide the basis of its decisions from relatively small image datasets. Such a system could become an indispensable tool for hospital emergency departments evaluating patients with symptoms of [...]
Tokenization in a Nutshell
Tokenization in a Nutshell What is tokenization and a token? Tokenization is the process of transformation of infrastructure to manage asset ownership rights. A token is a digitized ownership right for an asset. Tokenization in context There are four levels on which we can view tokenization: user, business, IT infrastructure, technical details. From a legal perspective, tokenization doesn’t change the reality (whether it is paper registry or a database). From a responsibility perspective, tokenization implies that the registry of ownership is no longer controlled by a single party. The terms “a tokenized title to an asset” and “a tokenized asset” are interchangeable. Token is [...]
Build Your Own Natural Language Models on AWS (no ML experience required)
Build Your Own Natural Language Models on AWS (no ML experience required) by Dr. Matt Wood | on 19 NOV 2018 | in Amazon Comprehend, Artificial Intelligence At AWS re:Invent last year we announced Amazon Comprehend, a natural language processing service which extracts key phrases, places, peoples’ names, brands, events, and sentiment from unstructured text. Comprehend – which is powered by sophisticated deep learning models trained by AWS – allows any developer to add natural language processing to their applications without requiring any machine learning skills. Today we are excited to bring new customization features to Comprehend, which allow developers to extend Comprehend to identify [...]
Michelangelo PyML: Introducing Uber’s Platform for Rapid Python ML Model Development
Michelangelo PyML: Introducing Uber’s Platform for Rapid Python ML Model Development By Kevin Stumpf, Stepan Bedratiuk, and Olcay Cirit As a company heavily invested in AI, Uber aims to leverage machine learning (ML) in product development and the day-to-day management of our business. In pursuit of this goal, our data scientists spend considerable amounts of time prototyping and validating powerful new types of ML models to solve Uber’s most challenging problems (e.g., NLP based smart reply systems, ticket assistance systems, fraud detection, and financial and marketplace forecasting). Once a model type is empirically validated to be best for the task, engineers work closely with data science [...]
Google open-sources BERT, a state-of-the-art pretraining technique for natural language processing
Google open-sources BERT, a state-of-the-art pretraining technique for natural language processing Above: Google AI logo on screen at Google Event Center in Sunnyvale, California Image Credit: Khari Johnson / VentureBeat Natural language processing (NLP) — the subcategory of artificial intelligence (AI) that spans language translation, sentiment analysis, semantic search, and dozens of other linguistic tasks — is easier said than done. Procuring diverse datasets large enough to train text-parsing AI systems is an ongoing challenge for researchers; modern deep learning models, which mimic the behavior of neurons in the human brain, improve when trained on millions, or even billions, [...]
The Visual Python Debugger for Jupyter Notebooks You’ve Always Wanted
The Visual Python Debugger for Jupyter Notebooks You’ve Always Wanted Introducing PixieDebugger David TaiebFollow Mar 10 I’ve been using Jupyter Notebooks with great delight for many years now, mostly with Python, and it’s validating to see that their popularity keeps growing, both in academia and the industry. I do have a pet peeve though, which is the lack of a first-class visual debugger similar to these available in other IDEs like Eclipse, IntelliJ, or Visual Studio Code. Some would rightfully point out that Jupyter already supports pdb for simple debugging, where you can manually and sequentially enter commands to do things like [...]
Microsoft Open Sources Trill to Deliver Insights on A Trillion Events A Day
Microsoft Open Sources Trill to Deliver Insights on A Trillion Events A Day Posted on December 17, 2018 James Terwilliger Principal Software Engineer, Microsoft Azure In today’s high-speed environment, being able to process massive amounts of data each millisecond is becoming a common business requirement. We are excited to be announcing that an internal Microsoft project known as Trill for processing “a trillion events per day” is now being open sourced to address this growing trend. Here are just a few of the reasons why developers love Trill: As a single-node engine library, any .NET application, service, or platform can [...]
Top Python Libraries in 2018 in Data Science, Deep Learning, Machine Learning
Top Python Libraries in 2018 in Data Science, Deep Learning, Machine Learning By Dan Clark, KDnuggets. Here are the top 15 Python libraries across Data Science, Data Visualization. Deep Learning, and Machine Learning. We recently published a series of articles looking at the top Python libraries, across Data science, Deep Learning and Machine Learning. As the year draws to a close, we thought we’d give you a special Christmas gift, and collate these into a KDnuggets official top Python libraries in 2018. As always, we want your opinions! So, if you think we’ve unfairly left any out, or if you disagree with any of [...]
The Yield: How to feed the world without ‘wrecking the planet’
The Yield: How to feed the world without ‘wrecking the planet’ Every growing season, farmers stake their livelihoods around a major element they can’t control: weather. But The Yield, an agricultural technology company based in Australia, uses sensors, data and artificial intelligence (AI) to help farmers make informed decisions related to weather, soil and plant conditions. “How do we feed the world without wrecking the planet?” says Ros Harvey, who founded The Yield in 2014. “We do that by taking the guesswork out of growing. This means growers can make better, faster decisions about how they produce the food we [...]
Six Reasons to Choose Cosmos DB
A fintech startup pivots to Azure Cosmos DB Kate Baroni Software Architect, Microsoft Azure The right technology choices can accelerate success for a cloud born business. This is true for the fintech start-up clearTREND Research. Their solution architecture team knew one of the most important decisions would be the database decision between SQL or NoSQL. After research, experimentation, and many design iterations the team was thrilled with their decision to deploy on Microsoft Azure Cosmos DB. This blog is about how their decision was made. Data and AI are driving a surge of cloud business opportunities, and one technology decision that deserves [...]
Top 10 AI Solution Provider of 2018 – Silicon India
ThirdEye Rated as Top 10 Artificial Intelligence Solution Provider 2018 ThirdEye Data: The Answer to All Data Challenges Big data is no fad. The world is witnessing a meteoric rise of data today, which is only doubling in volume by the year. As data evolves, every business organization seeks to explore the deluge of information and glean meaningful insights to drive better decision-making and enhance productivity. Despite such potential, enterprises, especially SMBs, fall behind in implementing data-driven processes. The culprit, however, is not their lack of innovation, but the complexity in unraveling the intricate correlations between seemingly unrelated [...]
Facebook open-sources PyText NLP framework
Facebook open-sources PyText NLP framework Comment Facebook AI Research is open-sourcing some of the conversational AI tech it is using to power its Portal video chat display and M suggestions on Facebook Messenger. The company announced today that its PyTorch-based PyText NLP framework is now available to developers. Natural language processing deals with how systems parse human language and are able to make decisions and derive insights. The PyText framework, which the company sees as a conduit for AI researchers to move more quickly between experimentation and deployment, will be particularly useful for tasks like document classification, sequence tagging, semantic parsing [...]
Deep Learning Just Dipped Into Exascale Territory
We all expected that the Summit supercomputer at Oak Ridge National Lab would be a major part of pushing deep learning forward in HPC given its balanced GPU and IBM Power9 profile (not to mention the on-site expertise to get those graphics engines doing cutting-edge workoutside of traditional simulations). Today, researchers from Berkeley Lab and Oak Ridge, along with development partners at Nvidia demonstrated some rather remarkable results using deep learning to extract weather patterns based on existing high-res climate simulation data. This places the collaboration in the running for this year’s Gordon Bell Prize, an annual award based on high performance, efficient use of [...]
A Small Team Of Student AI Coders Beats Google’s Machine-Learning Code
The success shows that advances in artificial intelligence aren’t the sole domain of elite programmers. by Will Knight August 10, 2018 Students from Fast.ai, a small organization that runs free machine-learning courses online, just created an AI algorithm that outperforms code from Google’s researchers, according to an important benchmark. Fast.ai’s success is important because it sometimes seems as if only those with huge resources can do advanced AI research. Fast.ai consists of part-time students keen to try their hand at machine learning—and perhaps transition into a career in data science. It rents access to computers in Amazon’s cloud. But Fast.ai’s team [...]
ThirdEye rated as Top Big Data Developers 2018
ThirdEye rated as Top Big Data Developers 2018 TopDevelopers announces the Top 15 Big Data Analytics Companies of 2018 TopDevelopers.co provides researched list of 15 companies that can offer industry specific Big Data Analytics solutions efficiently for smart business planning. SAN FRANCISCO, CALIFORNIA, USA, December 12, 2018 /EINPresswire.com/ -- TopDevelopers constantly analyses businesses and firms to expose the actuality of current business needs and the trends that are prolific in offering the best business prospects. We have found that Big Data Analytics is now revolutionizing and reforming organizations. Every business is in need of data organizing, segmentation and segregation [...]
How to deliver on Machine Learning projects
How to deliver on Machine Learning projects A guide to the ML Engineering Loop Follow the loop all the way up! This post was co-authored by Emmanuel Ameisen, Head of AI at Insight Data Science and Adam Coates, Operating Partner at Khosla Ventures. Want to learn applied Artificial Intelligence from top professionals in Silicon Valley or New York? Learn more about the Artificial Intelligenceprogram. Are you a company working in AI and would like to get involved in the Insight AI Fellows Program? Feel free to get in touch. As Machine Learning (ML) is becoming an important part of every industry, the demand for Machine Learning Engineers (MLE) has [...]
How Machine Learning Is Used to Manage Data Center Power Today
How Machine Learning Is Used to Manage Data Center Power Today Here’s how solutions already on the market today are using ML to improve data center uptime and efficiency. It’s no secret that data centers are getting increasingly complicated. There are more types of hardware and management software, more frequently changing workloads, and public cloud. And with edge computing just around the corner, things are about to get even more complicated. Many in the industry expect machine learning to make data center managers’ lives easier in the face of all this complexity. Several companies already sell data center management [...]
Data Warehousing with a Modern Twist
Data Warehousing with a Modern Twist Alex Woodie (Pasuwan/Shutterstock) Bill Inmon is generally credited with inventing the phrase “data warehouse” in the early 1990s to describe the stockpiling of data using relational databases. It may be an older term, but the activity itself remains quite relevant today, especially considering the huge amounts of data we generate every day. However, some of the elements of data warehousing implementations have changed considerably. For starters, the advent of cloud-based data warehouse is upending the traditional market for analytical databases, just as a new generation of front-end BI tools streamlines the delivery of [...]
Data Warehouse Modernization and the Journey to the Cloud
Data Warehouse Modernization and the Journey to the Cloud (mmar/Shutterstock) To say that organizations today are facing a complex data landscape is really an understatement. Data exists in on-premises systems and in the cloud; data is used across applications and accessed across departments. Information is being exchanged in ever-growing volumes with customers and business partners. Websites and social media platforms are constantly adding data to the mix. And now there’s even more data coming from new sources such as the Internet of Things (IoT) via sensors and smart, connected devices. This proliferation of data sources is leading to a [...]
Large Collection of Neural Nets, Numpy, Pandas, Matplotlib, Scikit and ML Cheat Sheets
Large Collection of Neural Nets, Numpy, Pandas, Matplotlib, Scikit and ML Cheat Sheets This collection covers much more than the topics listed in the title. It also features Azure, Python, Tensorflow, data visualization, and many other cheat sheets. Additional cheat sheets can be found hereand here. Below is a screenshot (extract from the data visualization cheat sheet.) The one below is rather interesting too, but the source is unknown, and anywhere it was posted, it is unreadable. This is the best rendering after 30 minutes of work. The full list can be found here or here. It covers the following topics: Big-O Algorithm Cheat [...]
Microsoft Develops Flexible AI System That Can Summarize The News
Image Credit: raindrop74 / Shutterstock Microsoft develops flexible AI system that can summarize the news Condensing paragraphs into sentences isn’t easy for artificial intelligence (AI). That’s because it requires a semantic understanding of the text that’s beyond the capabilities of most off-the-shelf natural language processing models. But it’s not impossible, as researchers at Microsoft recently demonstrated. In a paper published on the preprint server Arxiv.org (“Structured Neural Summarization“), scientists at Microsoft Research in Cambridge, England describe an AI framework that can reason about relationships in “weakly structured” text, enabling it to outperform conventional NLP models on a range of text summarization tasks. [...]
