A robot is not expected to be either huge or humanoid, or even material (in disagreement with Wikipedia, although the…Continue
Added by Sergey Lukyanchikov on July 16, 2021 at 4:00am — No Comments
Abstraction: some succinct definitions.
"Abstraction is the technique of hiding implementation by providing a layer over the functionality.”
“Abstraction, as a process, denotes the extracting of the essential details about an item, or a group of items, while ignoring the inessential details”…Continue
Machine learning is such a new field that a mature industry-wide standard practice of operations has not yet emerged, like there has been in software development for the past 20 or more years. An ML…Continue
Added by Alexandra Joseph on July 7, 2021 at 12:30am — No Comments
When it comes to the new world of analytics, the augmented analytics approach allows business users with no data science background to readily access and use analytics in an intuitive way. There are some important aspects of this approach, including auto machine learning, natural language processing (NLP) and intuitive search…Continue
Added by Kartik Patel on July 7, 2021 at 12:00am — No Comments
By 2035 AI could boost average profitability rates by 38 percent and lead to an economic increase of $14 Trillion.
The words Artificial Intelligence (AI), and algorithms are most often misused and misunderstood. There are often used…Continue
Added by Aileen Scott on July 6, 2021 at 9:30pm — No Comments
Learn how StreamSets, a modern data integration platform for DataOps, can help expedite operations at some of the most crucial stages of Machine Learning Lifecycle and MLOps.
Added by Dash on July 1, 2021 at 10:30am — No Comments
Dataproc is a low-cost, Google Cloud Platform integrated, easy to use managed Spark and Hadoop service that can be leveraged for batch processing, streaming, and machine learning use cases.
BigQuery is an enterprise grade…Continue
Added by Dash on July 1, 2021 at 9:00am — No Comments
The development of machine learning and deep learning solutions typically follows a workflow that starts from the problem definition and goes through the crucial steps of collecting and exploring useful data, training and evaluating candidate models, deploying a solution, and finally documenting and maintaining the system once it is running in the wild (Figure 1). Despite its predictable structure, some…Continue
Added by OGE MARQUES on July 1, 2021 at 6:00am — No Comments
Spend any time at all in the machine learning space, and pretty soon you will encounter the term "feature". It's a term that may seem self-evident at first, but it very quickly descends into a level of murkiness that can leave most laypeople (and even many programmers) confused, especially when you hear examples of machine learning systems that involve…Continue
Added by Kurt A Cagle on June 15, 2021 at 8:30pm — No Comments
Andrew Ng is a key reference point for me in understanding AI.
Andrew Ng is always easy to understand – especially…Continue
Added by ajit jaokar on June 13, 2021 at 4:30am — No Comments
In this article, I describe the various steps involved in managing a machine learning process from beginning to end. Depending on which company you work for, you may or may not be involved in all the steps. In larger companies, you typically focus on one or two specialized aspects of a project. In small companies, you may be involved in all…Continue
Added by Vincent Granville on June 12, 2021 at 7:00pm — No Comments
In his book “Outliers”, Malcom Gladwell unveils the "10,000-Hour Rule" which postulates that the key to…Continue
Added by Bill Schmarzo on June 6, 2021 at 6:00am — No Comments
I read a paper from ETSI last week which talks of protecting Artificial Intelligence models against threats and attacks.
This topic is of interest to me since we cover it in the artificial intelligence for cybersecurity course at the University of Oxford. Protecting AI models from threats is getting increasingly more important but is not yet…Continue
Added by ajit jaokar on May 30, 2021 at 8:30am — No Comments
MIT press provides another excellent book in creative commons.
I plan to buy it and I recommend you do. This book provides a broad introduction to algorithms for…Continue
Added by ajit jaokar on May 23, 2021 at 11:30am — No Comments
Machine learning is “Competence without Comprehension” as famously noted by Dan Dennett, the pre-eminent philosopher of our times. There are two aspects to Machine Learning (ML) “comprehension”.
Artificial General Intelligence (AGI) hopes to infuse ML with comprehension. The other less lofty aspect is that WE would…Continue
Added by PG Madhavan on May 20, 2021 at 8:00am — No Comments
Recommender systems are lifesavers in the infinite seething sea of e-commerce, improving customer experience. Recommender engines are eliminating the tyranny of choice, smoothing the way for decision-making, and boosting online sales. Moreover, ubiquitous AI technologies are sneaking into e-commerce, too, not…Continue
Added by Oleksandr Tyron on May 18, 2021 at 3:30am — No Comments
Predicting the length of time it will take to get a Machine Learning (ML) project into production can be tricky. If there is an issue, more often than not, it is likely related to a disconnect between engineering and the data science team. Collaboration between data science and engineering is critical for ML projects, but it…Continue
Added by Abhishek Gupta on May 17, 2021 at 11:30am — No Comments
What is Data Science and Machine Learning?
The research and development (R&D) phase of building an AI model to address a business problem is characterized by rapid exploration and iteration. Everything is on the table and experimentation is encouraged, from understanding how to frame the problem, to determining how to most effectively use the data on hand, to discovering the model…Continue
Added by Clayton Davis on May 12, 2021 at 7:30am — No Comments
In this blog, we shall discuss about how to build a neural network to translate from English to German. This problem appeared as the Capstone project for the coursera course “Tensorflow 2: Customising your model“, a part of the specialization “Tensorflow2 for Deep Learning“, by the Imperial College, London. The…Continue
Added by Sandipan Dey on May 5, 2021 at 3:30am — No Comments