AI & Machine Learning News. 02, December 2019

The Artificial Intelligence and Machine Learning Newsletter by CloudQuant

The Artificial Intelligence and Machine Learning News clippings for Quants are provided algorithmically with CloudQuant’s NLP engine which seeks out articles relevant to our community and ranks them by our proprietary interest score. After all, shouldn’t you expect to see the news generated using AI?


Battle of the Quants : Big Data – London 2019

CloudQuant CEO, John “Morgan” Slade will be participating in the ESG Panel at the “Battle of the Quants : Big Data” Conference in London on December 10th 2019.

In their fourteenth year of hosting the leading quantitative event worldwide, the Battle of the Quants has become the definitive event for investors, managers and data buyers looking for key industry influencers, decision makers and investment opportunities. Learn from cutting edge discussions in quantitative finance and advance your business through valuable professional business relationships. Many networking opportunities abound with pre and post cocktail receptions, coffee breaks and a luncheon.

If you are attending, feel free to introduce yourself!

A former world champion of the game Go says he’s retiring because AI is so strong: ‘Even if I become the No. 1, there is an entity that cannot be defeated’

  • Lee Se-dol, a former Go champion, has announced his retirement, declaring that artificial intelligence has created an opponent that “cannot be defeated.”
  • Go, a strategic board game that originated in China more than 2,500 years ago, is considered one of the most complex games in the world.
  • In 2016, Lee lost a set of matches against AlphaGo, an artificial intelligence developed by DeepMind, a company owned by Google.
  • DeepMind’s programs have mastered several games and defeated top human competition, bringing new attentions to the Rapid growth in AI technology.

2019-11-27 00:00:00 Read the full story…
Weighted Interest Score: 2.7918, Raw Interest Score: 1.1111,
Positive Sentiment: 0.4040, Negative Sentiment 0.5724

CloudQuant Thoughts : OK, I quit!


2020: Five Artificial Intelligence Trends For Engineers And Scientists

  1. Workforce skills and data quality barriers start to abate
  2. The rise of AI-Driven systems increases design complexity
  3. AI becomes easier to deploy to low power, low cost embedded devices
  4. Reinforcement Learning moves from gaming to real-world industrial applications
  5. Simulation lowers a primary barrier to successful AI adoption – lack of data quality

2019-11-28 08:30:00+00:00 Read the full story…
Weighted Interest Score: 5.5252, Raw Interest Score: 2.3319,
Positive Sentiment: 0.4622, Negative Sentiment 0.2521

CloudQuant Thoughts : It’s Thanksgiving week so we have a lot of easy “10 ways to…” lists coming through our scanner…

10 AI-Related Questions Asked At Google Interviews

Landing a job at tech giant Google is like a dream come true for any engineer. One can get the opportunity of working with talented professionals as well as learn and share plenty of knowledge. However, cracking an interview for Google is a difficult task and one has to have in-depth knowledge and hands-on experience with projects. The interview comprises brain teasers like problem-solving questions, technical queries, and coding, among others.

In this article, we listed down the top 10 machine learning questions which have been asked at Google Data Science interview. Bear in mind that these interview questions have been collected from various sources — comments, reviews and discussion forums regarding interviews at Google.

  1. What will you do if removing missing values from a dataset causes bias?
  2. How will you design a recommendation engine for jobs?
  3. What is Rectified Linear Unit (ReLU) in Machine learning?
  4. What is the difference between a bagged model and a boosted model?
  5. What is AdaGrad algorithm in machine learning?
  6. What is the degree of freedom for lasso?
  7. What are anomaly detection methods?
  8. What is AUC in machine learning?
  9. How does caching work and how do you use it in Data Science?
  10. Why use feature selection?

2019-11-30 04:30:00+00:00 Read the full story…
Weighted Interest Score: 3.0164, Raw Interest Score: 1.4942,
Positive Sentiment: 0.1845, Negative Sentiment 0.2398

CloudQuant Thoughts : How well would you do?

Build pipelines with Pandas using “pdpipe”

Pandas is an amazing library in the Python ecosystem for data analytics and machine learning. They form the perfect bridge between the data world, where Excel/CSV files and SQL tables live, and the modeling world where Scikit-learn or TensorFlow perform their magic.

A data science flow is most often a sequence of steps — datasets must be cleaned, scaled, and validated before they can be ready to be used by that powerful machine learning algorithm.

These tasks can, of course, be done with many single-step functions/methods that are offered by packages like Pandas but a more elegant way is to use a pipeline. In almost all cases, a pipeline reduces the chance of error and saves time by automating repetitive tasks.
2019-12-01 18:52:00.161000+00:00 Read the full story…
Weighted Interest Score: 4.6640, Raw Interest Score: 1.7588,
Positive Sentiment: 0.1508, Negative Sentiment 0.1508

CloudQuant Thoughts : An interesting package that may be of use if you are ETL’ing a lot of data yourself.

Beginner’s Guide To Explainable AI: Hands-On Introduction To What-If Tool

Explainable AI or shortly XAI is a domain that deals with maintaining transparency to the decision making capability of complex machine learning models and algorithms.

A simple way to understand this concept is to compare the decision-making process of humans with that of the machines. How do we humans come to a decision? We often make decisions whether they are small insignificant decisions like what outfit to wear for an event, to highly complex decisions that involve risks such as investments or loan approvals.

However, at the end of the day, we can reason with ourselves and others for the choice of decision we made by explaining how we came to that decision. However, it is not that simple in the case of AI. When we consider machine learning, the explaining part is totally nonexistent or was at least till the concept of Explainable AI popped up.

2019-11-28 10:46:22+00:00 Read the full story…
Weighted Interest Score: 4.3016, Raw Interest Score: 1.6202,
Positive Sentiment: 0.1656, Negative Sentiment 0.0710

CloudQuant Thoughts : A nice introduction to the Tensor-flow What-if tool.

AI Bias a Real Concern in Business, Survey Says

The potential benefits of AI for businesses are huge. But those benefits could be eroded by hidden biases that damage brand reputation and customer trust, according to a survey of US and UK businesses commissioned by DataRobot. According to DataRobot‘s “The State of AI Bias in 2019,” which was released last week, 42% of organizations surveyed reported being “very to extremely” concerned about AI bias occurring in their organizations.

This number jibes with another finding from the DataRobot survey: that 38% of the organizations surveyed reported they use “black box” machine learning systems that offer no insight into how it makes decisions. The juxtaposition of AI bias concerns and black box systems is enough to warrant serious questions about the direction compaines should take with their machine learning, according to John Giannandrea, Apple’s senior vice president of machine learning and AI strategy.

2019-11-26 00:00:00 Read the full story…
Weighted Interest Score: 3.6761, Raw Interest Score: 1.2458,
Positive Sentiment: 0.0831, Negative Sentiment 0.5537

CloudQuant Thoughts : The potential to compromise Brand Value and reduce Consumer Trust are now driving firms to take the issue of AI Bias more seriously. At least these issues are being addressed at the very start of this brave new industry.

The 20 top tech skills that employers want and that can help you find a job, according to recruiting site Indeed

Andrew Flowers, an economist at Indeed, says that in today’s job market, there are two major trends that drive the top skills in tech. The first is the rise of data science, machine learning, and artificial intelligence. The second is the rise of cloud computing. Some languages, like Java and C++, still remain some of the most important skills in tech, but they have been around for decades.

On the other hand, the programming language Python is a relative newcomer and today is one of the top skills on the list. “Python has had explosive growth,” Flowers told Business Insider. “If I’m around the dinner table and a nephew asks what should I learn? Having done this report, I would say, learn Python.” The reason why Python has exploded is because of the rise of data science and machine learning, Flowers said. “Some tools are good and will always be around,” Flowers said. “Python is just so notable because it’s easy to learn. It’s used in data science and it’s also used in web development. Its explosive growth is the #1 takeaway from this research.”

Besides that, the report also shows growth in cloud technical skills for Amazon Web Services and Microsoft Azure. “AWS is still the dominant cloud computing tool but Azure is growing really fast, too,” Flowers said.

Here are the top 20 tech skills, according to Indeed:

2019-11-28 00:00:00 Read the full story…
Weighted Interest Score: 2.9725, Raw Interest Score: 1.9573,
Positive Sentiment: 0.1779, Negative Sentiment 0.0445

Friend or foe? Five ethical questions raised by AI

What are the ethical implications of artificial intelligence? We know that we are facing an automated future. We know that AI is proving ever-more illimitable in its capabilities and applications. What we don’t know, however, is whether the technology will ultimately prove friend or foe.
AI holds the potential for great good. It could drive us to a post-work utopia in which our time is liberated from labour. Or, it could lead us down a darker path, one with increased poverty and social isolation. So, what moral framework should guide us as we implement AI? Here are five ethical questions surrounding our AI-infused future.

  1. How could AI affect our professional relationships and careers?
  2. What happens if AI does take over our jobs?
  3. How do we distribute wealth if we aren’t working?
  4. Will AI impact our humanity?
  5. Do we need to worry about artificial stupidity?

2019-11-29 09:41:02+00:00 Read the full story…
Weighted Interest Score: 4.4358, Raw Interest Score: 1.4942,
Positive Sentiment: 0.2802, Negative Sentiment 0.3580

THE AI PIVOT: How the push to adopt the advanced tech is rippling through corporate America

The rise of artificial intelligence is giving companies capabilities they’ve never had before to automate job tasks, recruit top talent, and better know their customers, among other applications. But adopting the advanced tech is not an easy shift, and many efforts still fail.

Business Insider is exploring how companies can successfully implement the tech without succumbing to the roadblocks that stymie so many efforts.

2019-12-02 00:00:00 Read the full story…
Weighted Interest Score: 4.8356, Raw Interest Score: 1.9651,
Positive Sentiment: 0.3045, Negative Sentiment 0.2491

The importance of valuing your data – Cuemacro

The key point when trying to understand the value of data (and alternative data) is that its value can differ between who is using it. Let’s take for example, web scraped data. If we have a dataset made up a large number of web scraped pages, it is difficult to say that this has no “value”. However, the value we can extract from it, is likely to differ significantly and depends on our business model. If we take a firm like Google, they’ve obviously been able to utilise web content to create searches, and then monetise it through adverts. A financial data firm might be able to leverage web content to create alternative datasets for funds. A hedge fund can that monetise that through trading. We can see that the data source (web content) was the same in all cases, but the way it it monetised (and the scale at which it can also be monetised) differs substantially and depends on the business model of a firm.

2019-11-30 00:00:00 Read the full story…
Weighted Interest Score: 4.6856, Raw Interest Score: 1.9620,
Positive Sentiment: 0.1839, Negative Sentiment 0.0920

Why Should You Learn Python For Data Science?

If you’re looking for an exciting new career that offers tremendous growth opportunity, look no further than the data science industry. Today, organizations of all sizes rely on the insights they extract from the data they have to measure progress, make informed decisions, plan for the future, and so on. Data scientists are the people who process and organize the data with scientific methods, algorithms, and other techniques. Daily, they sift through large data sets, extract what matters, and provide businesses with clear, easy-to-understand insights.

With the advancement of machine learning, AI, predictive analytics, data science is becoming a more popular career choice. While it’s beneficial to know more than one programming language, aspiring data scientists must learn at least one. There are many to choose from, too, including, Java, Python, Scala, MATLAB, and R.

2019-11-25 05:30:00+00:00 Read the full story…
Weighted Interest Score: 4.0068, Raw Interest Score: 2.0639,
Positive Sentiment: 0.4737, Negative Sentiment 0.1015

We’re Loving This Buy the Dip Opportunity in McDonald’s

Everyone wants to buy a great company at a cheap price. Unfortunately, those opportunities are few and far between. Most of the time, when you find a company that is the undisputed leader in its industry, highly profitable, and growing, the stock will trade at a significant premium.

Investors should jump at the opportunity to buy the dip (13% over the past three months) in this restaurant stock. The company’s earnings miss is the result of accounting distortions[1] – identified by my firm’s “novel dataset” featured in “Core Earnings: New Data and Evidence”. The recent upheaval of the executive team is also overblown, and I expect this company to continue to deliver strong results. McDonald’s Corporation (MCD) is this week’s Long Idea.
2019-12-01 00:00:00 Read the full story…
Weighted Interest Score: 3.6757, Raw Interest Score: 1.5765,
Positive Sentiment: 0.3217, Negative Sentiment 0.3282

The Promise and Challenges of AI and Machine Learning for Cybersecurity

While cybersecurity has been an essential area of concern for most IT companies and businesses depending on technology, it is the expertise with the latest technologies like AI and Machine Learning that can give them a competitive lead in terms of information security and data safety. These days AI and Machine Learning technologies are in the limelight for many industries and use cases. Cybersecurity remains to be one of the most important beneficiaries of these new technologies.

Here through the length of this post, we are going to explain the role of AI and Machine Learning for cybersecu…
2019-11-28 11:00:00+00:00 Read the full story…
Weighted Interest Score: 3.4859, Raw Interest Score: 1.4029,
Positive Sentiment: 0.1830, Negative Sentiment 0.6709

FINRA CAT LLC Selects Exegy® Data Capture Services

Exegy Inc., the leading provider of managed services and low-latency technology for market data normalization and distribution, has today announced that its data capture and normalization services have been selected by FINRA CAT LLC as the provider of high-precision historical market data for the Consolidated Audit Trail (CAT). “We are delighted to be working with FINRA CAT and expanding the scope of our services to the Consolidated Audit Trail. …
2019-12-02 00:00:00 Read the full story…
Weighted Interest Score: 3.4513, Raw Interest Score: 1.7517,
Positive Sentiment: 0.2217, Negative Sentiment 0.0222

Britain’s competition watchdog reviewing Google’s Looker buyout deal

(Reuters) – Britain’s competition watchdog on Monday said it was probing Google’s $2.6 billion buyout of privately held big-data analytics firm Looker Data Sciences.

The Competition and Markets Authority (CMA) said it was considering whether the deal could hurt competition in the UK or other markets and invited comments on the acquisition until Dec. 20.
2019-12-02 08:14:22+00:00 Read the full story…
Weighted Interest Score: 3.3967, Raw Interest Score: 1.9022,
Positive Sentiment: 0.0000, Negative Sentiment 0.1359

Survey Predicts Three-Year Return On AI In Drug Discovery

By Allison Proffitt, Editorial Director, AI Trends

Nearly everyone believes that AI can help in drug discovery within the next three years, but the devil is in the details.

That’s according to the new survey on AI in Drug Discovery from AI Trends. We asked readers about how they are using AI in their jobs and what opportunities and challenges they see ahead for the technology as applied to drug discovery. Almost unanimously respondents believe …
2019-11-28 22:30:58+00:00 Read the full story…
Weighted Interest Score: 3.3652, Raw Interest Score: 1.5582,
Positive Sentiment: 0.2291, Negative Sentiment 0.4583

AI Storytelling Companies Usher in New Era of Creativity

By John P. Desmond, AI Trends Editor

A new wave of AI Storytelling tools is ushering in an era that includes created characters who have relationships, are in stories, and can adapt to react to how audiences play.

Charisma.ai for instance offers “a new dimension of storytelling: re-playable, interactive conversations with crafted characters.” Components include a “hyper-advanced” story editor and a chat engine. Characters have emotions, memorie…
2019-11-28 22:30:23+00:00 Read the full story…
Weighted Interest Score: 3.0129, Raw Interest Score: 1.4020,
Positive Sentiment: 0.1850, Negative Sentiment 0.0974

Synchrony Financial AI Development Team Working on a ‘Self-Evolving’ Consumer Interface

Alex Muller is working on creating a consumer interface that aims to incorporate AI to learn about customers and deliver a continuously improving user experience. After selling his company, GPShopper, to Synchrony Financial in 2017, Muller is now Senior Vice President, Entrepreneur in Residence, Synchrony Financial, where he is leading this development effort.

The team is working to define new roles and come up with an original development proce…
2019-11-28 22:30:14+00:00 Read the full story…
Weighted Interest Score: 2.9804, Raw Interest Score: 1.5354,
Positive Sentiment: 0.0853, Negative Sentiment 0.0284

Now Is The Time To Buy Healthcare Stocks

Hand flip wooden cube with word wealth to health. Getty

Healthcare has been the second-best performing sector since 1970, according to our William O’Neil + Co. database, trailing Retail only slightly.

Quarterly Price % Change Comparison Graph William O’Neil + Co.

The reasons for this strong historical performance are obvious upon reflection. The U.S. population has grown. Medical technology has improved dramatically. The pharmaceutical and bio…
2019-11-29 00:00:00 Read the full story…
Weighted Interest Score: 2.9518, Raw Interest Score: 1.1879,
Positive Sentiment: 0.1980, Negative Sentiment 0.2520

Lisa Fiondella joins Finastra as Chief Data Officer

New hire to develop products using the wealth of data available through Finastra’s platform and cloud-based solutions

London, UK, November 21, 2019 – Finastra has hired Lisa Fiondella as Chief Data Officer to lead its comprehensive data strategy, including how data collected through the FusionFabric.cloud platform and various cloud-based solutions, can be best utilized. She will be responsible for developing a data product roadmap and manage t…
2019-11-25 00:00:00 Read the full story…
Weighted Interest Score: 2.9089, Raw Interest Score: 1.6706,
Positive Sentiment: 0.4773, Negative Sentiment 0.0000

Why I Bought More Baozun Shares After a Disappointing Third Quarter

Baozun (NASDAQ:BZUN) saw its stock get crushed after its quarterly earnings report arrived on Nov. 21 with a sales miss and weaker-than-expected guidance. The company provides help creating online stores and other e-commerce services, and has sometimes been referred to as “China’s Shopify.” It’s been one of my favorite foreign-market growth picks, but I’m currently in the red on my investment and understand that there could be more volatility ahe…
2019-12-02 00:00:00 Read the full story…
Weighted Interest Score: 2.8297, Raw Interest Score: 1.4298,
Positive Sentiment: 0.3256, Negative Sentiment 0.2123

Taking ML to production with Rust: a 25x speedup

If we look at the big picture, butchering all the little details, there are two constants in Machine Learning development:

model training;

making predictions (inference, for the cool kids in the back of the room).

Today the language of choice for Machine Learning is Python (unless your working environment has some unusual constraints).

I will take you on a journey.

Hopefully, at the end of it, using Rust as a training backend and deployment platform will not look as crazy or confusing as it so…
2019-12-01 00:00:00 Read the full story…
Weighted Interest Score: 2.7794, Raw Interest Score: 1.3246,
Positive Sentiment: 0.1434, Negative Sentiment 0.1548

New Regional Director reiterates Calypso commitment to expand investment in Middle East

New Regional Director reiterates Calypso commitment to expand investment in Middle East

• Sameh Fouad, recently appointed Calypso Regional Director for Middle East, Africa and Turkey, is committed to expanding the company’s strong presence in the region by continued investment in local sales, training, customer success and professional services.

Calypso Technology Inc., a leading provider of cloud-enabled, cross-asset front-to-back solution…
2019-11-27 00:00:00 Read the full story…
Weighted Interest Score: 2.6674, Raw Interest Score: 1.5607,
Positive Sentiment: 0.4540, Negative Sentiment 0.0568

Dell Introduces Solutions to Advance High Performance Computing and AI Innovation

019, Dell Technologies is introducing several new solutions, reference architectures and portfolio advancements all designed to simplify and accelerate customers’ high performance computing (HPC) and artificial intelligence (AI) efforts. Continued adoption of AI to solve real-world problems has spurred growth across the HPC industry. According to a recent report from Hyperion Research, the global HPC industry is expected to grow by 7.1% to more than $39.2 billion by 20231 and HPC-server based AI is expected to rise by ­more than 29% from 2018 to 2023, reaching $2.7 billion in 2023. ‘There’s a lot of value in the dat…
2019-12-02 08:15:36+00:00 Read the full story…
Weighted Interest Score: 2.6039, Raw Interest Score: 1.3858,
Positive Sentiment: 0.0554, Negative Sentiment 0.0554

Cryptocurrency Price Prediction Using Deep Learning

The popularity of cryptocurrencies skyrocketed in 2017 due to several consecutive months of exponential growth of their market capitalization. The prices peaked at more than $800 billion in January 2018.
Although machine learning has been successful in predicting stock market prices through a host of different time series models, its application in predicting cryptocurrency prices has been quite restrictive. The reason behind this is obvious as prices of cryptocurrencies depend on a lot of factors like technological progress, internal competition, pressure on the markets to deliver, economic problems, security issues, political factor etc. Their high volatility leads to the great potential of high profit if intelligent inventing strategies are taken. Unfortunately, due to their lack of indexes, cryptocurrencies are relatively unpredictable compared to traditional financial predictions like stock market prediction.

In this blog, I will be going through a four step process to predict cryptocurrency prices:

  • Getting real-time crptocurrency data.
  • Prepare data for training and testing.
  • Predict the price of crptocurrency using LSTM neural network.
  • Visualize the prediction results.

2019-12-02 14:24:05.461000+00:00 Read the full story…
Weighted Interest Score: 2.6006, Raw Interest Score: 1.4780,
Positive Sentiment: 0.0542, Negative Sentiment 0.1763

The future of retail: how AI can help customers and businesses

Since the past five years, there have been significant advancements in artificial intelligence (AI) throughout a variety of different industries, retail and otherwise.

While these exciting and innovative advancements may not necessarily be known to the end consumer, there are a couple of considerable AI implementations that have been made in the retail sector.

Sure, these implementations have not been made by most small retailers due to high integration costs, accessibility complications…
2019-12-02 13:44:13+00:00 Read the full story…
Weighted Interest Score: 2.5909, Raw Interest Score: 1.3393,
Positive Sentiment: 0.5022, Negative Sentiment 0.1953

Regulator input could inhibit consumer access to financial data

Involvement by regulators to create a new API standard for consumers and businesses to access their own financial data could slow down industry initiatives in the space, according to Don Cardinal, managing director of the Financial Data Exchange (FDX).

“The issue is, could the regulators stop [the FDX API standard] inadvertently? All they have to do is announce some new rules [or a new API standard for consumers’ financial data]. And the first t…
2019-11-27 00:00:00 Read the full story…
Weighted Interest Score: 2.5506, Raw Interest Score: 1.5831,
Positive Sentiment: 0.0880, Negative Sentiment 0.1319

Julia Computing Uses Homomorphic Encryption For ML. Is It The Way Forward?

Machine learning has been revamping the way we handle various day-to-day tasks, but due to data privacy concerns, the proliferation is being impeded. However, Julia computing research team has run machine learning algorithms on encrypted data using cryptographic techniques, which is being touted to preserve privacy.

Current Landscape In Machine Learning

Machine learning models can be bulky and difficult to share across various users. Besides, s…
2019-12-02 11:00:00+00:00 Read the full story…
Weighted Interest Score: 2.4913, Raw Interest Score: 1.5680,
Positive Sentiment: 0.2808, Negative Sentiment 0.2340

Data Privacy vs. Customer Analytics: How to Do Both

Companies across all industries are under increasing pressure to become more data driven by expanding their customer data analytics initiatives. However, these initiatives often conflict with – and can be stymied by – evolving data privacy regulations if not proactively dealt with. I’ve spoken with companies across retail, telecommunications, financial services and the automotive industry who are all wrestling with this data utility/data privacy trade-off in key analytical areas such as personalization and predictive modeling…
2019-11-27 11:00:00+00:00 Read the full story…
Weighted Interest Score: 2.4773, Raw Interest Score: 1.3402,
Positive Sentiment: 0.2437, Negative Sentiment 0.3114

Operationalizing Analytics: Conquering the Last Mile

Per research from McKinsey, only 8% of companies successfully scale analytics. To improve this abysmal rate, organizations must conquer what’s been called the last mile of analytics. For those who can, the payoff is tremendous.

Many organizations today implement data-driven strategies as they pursue digital transformation. They have adopted open-source and commercial technologies to manage their data and discover insights through analytics and a…
2019-11-26 00:00:00 Read the full story…
Weighted Interest Score: 2.4361, Raw Interest Score: 1.5072,
Positive Sentiment: 0.2097, Negative Sentiment 0.2490

Popular Health Websites Are Sharing Sensitive Medical Data With Advertisers

If you’re using any of the Top 100 health websites in the world, there’s a good chance that sensitive medical data and identifying personal information could be shared with tech firms, advertisers and data brokers without your knowledge or consent. In the UK, the Financial Times recently conducted an investigation into 100 popular health websites – including WebMD, Healthline, Bupa and BabyCentre – to see what kind of data they were collecting fr…
2019-11-26 16:00:00+00:00 Read the full story…
Weighted Interest Score: 2.4204, Raw Interest Score: 1.2970,
Positive Sentiment: 0.1009, Negative Sentiment 0.2162

The Rise And Rise Of PyTorch

Since the release of PyTorch in 2016, it is on a rollercoaster ride as its adoption among developers and researchers is continually increasing. Although it was released long after one of the most popular deep learning frameworks TensorFlow, over the years, PyTorch has quickly gained grounds and has overtaken advantage its competitors had due to their early release.

Numerous organisations are utilising PyTorch in their business processes to innov…
2019-11-25 10:30:00+00:00 Read the full story…
Weighted Interest Score: 2.4026, Raw Interest Score: 1.3056,
Positive Sentiment: 0.5109, Negative Sentiment 0.0757

3 Ways Big Data Is Bringing SEO Out of The Stone Age

Anybody that was online in the 1990s knows how different search engines are in the field of SEO. Big data has drastically improved the functionality of search engines.

Big data has had a two-pronged effect on the search engine industry. AJ Agrawal, the CEO of Alumnify has talked about this in his article on Inc. Big data is making it a lot easier for search engines to analyze content, which is a great deal for the customer.

However, search engines like Google aren’t the only ones using big data. SE…
2019-11-28 15:54:56+00:00 Read the full story…
Weighted Interest Score: 2.3995, Raw Interest Score: 1.0945,
Positive Sentiment: 0.5262, Negative Sentiment 0.0842

Alibaba Intercepts 2.2 Billion Cyber Attacks on Singles Day

For anyone thinking that global e-commerce is largely free of widespread and persistent hacker threats, consider the following: Chinese e-commerce giant Alibaba says that it intercepted 2.2 billion cyber attacks on a single day – November 11, 2019. That day, of course, is Singles Day in China, which has become the biggest annual online shopping event, along the lines of Black Friday or Cyber Monday in the United States. In order to deal with these 2.2 billion cyber attacks, Alibaba says that it deployed more than 3,000 security specialists and 1,258 algorithmic models worked 24 hours around the clock.
2019-11-27 16:00:00+00:00 Read the full story…
Weighted Interest Score: 2.3338, Raw Interest Score: 1.1603,
Positive Sentiment: 0.3255, Negative Sentiment 0.4953

A super-fast machine learning model for finding user search intent

In April 2019, Benjamin Burkholder (who is awesome, by the way) published a Medium article showing off a script he wrote that uses SERP result features to infer a user’s search intent. The script uses the SerpAPI.com API for its data and labels search queries in the following way:

  • Informational — The person is looking for more information on a topic. This is indicated by whether an answer box or PAA (people also ask) boxes are present.
  • Navigational — The person is searching for a specific website. This is indicated by whether a knowledge graph is present or if site links are present.
  • Transactional — The person is aiming to purchase something. This is indicated by whether shopping ads are present.
  • Commercial Investigation — The person is aiming to make a purchase soon but is still researching. This is indicated by whether paid ads are present, an answer box is present, PAAs are present, or if there are ads present at the bottom of the SERP.

This is one of the coolest ways to estimate search intent, because it uses Google’s understanding of search intent (as expressed by the SERP features shown for that search).

2019-11-30 00:00:00 Read the full story…
Weighted Interest Score: 2.2680, Raw Interest Score: 1.3585,
Positive Sentiment: 0.2237, Negative Sentiment 0.0639

Breed Reply investees hit £150m funds raised milestone

  • Portfolio revenue tripling between 2018 and 2019
  • Over 700 people now employed across Breed Reply’s portfolio
  • Hands-on model has operationally helped investees and attracted co-investors

Breed Reply, Europe’s leading active operational Internet of Things (IoT) investor, is pleased to announce that its investee companies have attracted £150m in investments with over 30 institutional and industrial investors from across Europe, the United States and Asia co-investing with Breed Reply.

Some notable institutional co-investors include Accel, SOSV, MMC, Tikehau (Ace), Omnes, Sistema, Alliance Entreprendre and IQ Capital, while industrial co-investors have included NTT Docomo, MunichRe, Aviva, BNP Paribas, Sumitomo, Hyundai, Aquaspark, and Statkraft.

2019-12-02 00:00:00 Read the full story…
Weighted Interest Score: 2.2676, Raw Interest Score: 1.3438,
Positive Sentiment: 0.2520, Negative Sentiment 0.0000

The first effort to regulate AI was a spectacular failure

When I stepped into the City Hall boardroom, it was filled with the nervous energy of the first day of school or a new job. But it was something far wonkier: the inaugural meeting of the New York City Automated Decision Systems (ADS) Task Force. Excitingly, this was the first task force in the country to comprehensively analyze the impact of artificial intelligence on government. Looking at everything from predictive policing, to school assignmen…
2019-11-26 07:00:03 Read the full story…
Weighted Interest Score: 2.2251, Raw Interest Score: 1.0422,
Positive Sentiment: 0.1066, Negative Sentiment 0.4737

Stocks making the biggest moves premarket: Disney, Las Vegas Sands, Fiat Chrysler & more

Check out the companies making headlines before the bell:

Walt Disney (DIS) – Disney’s “Frozen 2” set a Thanksgiving holiday weekend record by taking in $123.7 million in North American ticket sales. That broke the previous record set in 2013 by “The Hunger Games: Catching Fire.”

Las Vegas Sands (LVS), Wynn Resorts (WYNN) – Shares of the casino operators are on watch following new figures showing gambling revenue in Macau fell 8.5% in November …
2019-12-02 00:00:00 Read the full story…
Weighted Interest Score: 2.1964, Raw Interest Score: 1.2105,
Positive Sentiment: 0.1729, Negative Sentiment 0.4323

Black Friday 2019: The best AI smartphones

Black Friday or Cyber Monday, take your pick; it’s that time of year again. If you’re in the market for a smartphone — and it’s statistically likely you are, given that 403.5 million handsets shipped last holiday season — there’s no better month to seek out promotions, discounts, and limited-time deals on new devices. Samsung is hosting a sale on Galaxy phones including the Galaxy S10e, S10, S10 Plus, and S10 5G, and OnePlus recently knocked $150…
2019-11-27 00:00:00 Read the full story…
Weighted Interest Score: 2.1916, Raw Interest Score: 1.1213,
Positive Sentiment: 0.3738, Negative Sentiment 0.0522

This Data Scientist Shares A Perfect Plan To Get A Job In This Thriving Industry

A career in data science can be exciting but it also comes with its fair share of challenges. In this highly competitive data science industry, you need to devise an effective plan to get hired — more than just complex projects and a strong basic foundation. To decode such strategies, we as a part of our weekly column called ‘My Journey In Data Science’, interviewed Imaad Mohamed Khan. He is a data scientist and a serial entrepreneur for the past…
2019-11-29 06:44:59+00:00 Read the full story…
Weighted Interest Score: 2.1597, Raw Interest Score: 1.2829,
Positive Sentiment: 0.3376, Negative Sentiment 0.2701

Seattle Seahawks Select AWS as Its Cloud, Machine Learning, and AI Provider

A recent press release reports, “Today, Amazon Web Services, Inc. (AWS), an Amazon.com company, announced that AWS is now a cloud, machine learning (ML), and artificial intelligence (AI) provider for the Seattle Seahawks. In addition to moving the vast majority of its infrastructure to AWS, the National Football League (NFL) team will use the breadth and depth of AWS’s services, including compute, storage, database, analytics, and ML to drive deep analysis of game footage to inform game strategy, improve operational efficiencies, and accelerate decision-making to advance tea…
2019-11-29 08:10:48+00:00 Read the full story…
Weighted Interest Score: 2.1579, Raw Interest Score: 1.3083,
Positive Sentiment: 0.4551, Negative Sentiment 0.0569


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