Curated Information from different Sources on Artificial Intelligence, Deep Learning, Machine Learning, Predictive Analytics, Neural Networks, Anomaly Detection, Novelty Detection
How Can AI Champion Great Storytelling? - Mary Brendza (Storyfit), Monica La...BookNet Canada
Can machines work alongside humans to improve the storytelling process? We’ll share how an AI-powered analysis can help storytellers visualize and understand their stories — including character network, personality traits, emotional valence, and whether or not you’ve got a dynamic protagonist leaping from the pages. StoryFit identifies features applicable to all stages of book development, from acquisitions to marketing, and we’ll provide real-life examples to support your publishing decisions.
March 20, 2019
techforum.booknetcanada.ca
#TechForum
How Can AI Champion Great Storytelling? - Mary Brendza (Storyfit), Monica La...BookNet Canada
Can machines work alongside humans to improve the storytelling process? We’ll share how an AI-powered analysis can help storytellers visualize and understand their stories — including character network, personality traits, emotional valence, and whether or not you’ve got a dynamic protagonist leaping from the pages. StoryFit identifies features applicable to all stages of book development, from acquisitions to marketing, and we’ll provide real-life examples to support your publishing decisions.
March 20, 2019
techforum.booknetcanada.ca
#TechForum
This presentation focuses on Feature Engineering and the Heuristics which can be extracted pre modelling whihc can be used post modelling for change detectors, explain ability etc.
Learning from Data - Various Approaches - Postermadhucharis
Big Data, Thick Data, Wide Data, Structured Neural Learning
Knowledge Representation, Graph and Neural Learning
Collage from different Images, to emphasize the Theme
A Brief Walk through into Convolutional Neural Networks on
Classical Machine Learning vs Deep Learning
Autonomous Car, Medical
Recognition Challenges, Accuracy and Adversary Attacks
This presentation focuses on Feature Engineering and the Heuristics which can be extracted pre modelling whihc can be used post modelling for change detectors, explain ability etc.
Learning from Data - Various Approaches - Postermadhucharis
Big Data, Thick Data, Wide Data, Structured Neural Learning
Knowledge Representation, Graph and Neural Learning
Collage from different Images, to emphasize the Theme
A Brief Walk through into Convolutional Neural Networks on
Classical Machine Learning vs Deep Learning
Autonomous Car, Medical
Recognition Challenges, Accuracy and Adversary Attacks
As Europe's leading economic powerhouse and the fourth-largest hashtag#economy globally, Germany stands at the forefront of innovation and industrial might. Renowned for its precision engineering and high-tech sectors, Germany's economic structure is heavily supported by a robust service industry, accounting for approximately 68% of its GDP. This economic clout and strategic geopolitical stance position Germany as a focal point in the global cyber threat landscape.
In the face of escalating global tensions, particularly those emanating from geopolitical disputes with nations like hashtag#Russia and hashtag#China, hashtag#Germany has witnessed a significant uptick in targeted cyber operations. Our analysis indicates a marked increase in hashtag#cyberattack sophistication aimed at critical infrastructure and key industrial sectors. These attacks range from ransomware campaigns to hashtag#AdvancedPersistentThreats (hashtag#APTs), threatening national security and business integrity.
🔑 Key findings include:
🔍 Increased frequency and complexity of cyber threats.
🔍 Escalation of state-sponsored and criminally motivated cyber operations.
🔍 Active dark web exchanges of malicious tools and tactics.
Our comprehensive report delves into these challenges, using a blend of open-source and proprietary data collection techniques. By monitoring activity on critical networks and analyzing attack patterns, our team provides a detailed overview of the threats facing German entities.
This report aims to equip stakeholders across public and private sectors with the knowledge to enhance their defensive strategies, reduce exposure to cyber risks, and reinforce Germany's resilience against cyber threats.
Data Centers - Striving Within A Narrow Range - Research Report - MCG - May 2...pchutichetpong
M Capital Group (“MCG”) expects to see demand and the changing evolution of supply, facilitated through institutional investment rotation out of offices and into work from home (“WFH”), while the ever-expanding need for data storage as global internet usage expands, with experts predicting 5.3 billion users by 2023. These market factors will be underpinned by technological changes, such as progressing cloud services and edge sites, allowing the industry to see strong expected annual growth of 13% over the next 4 years.
Whilst competitive headwinds remain, represented through the recent second bankruptcy filing of Sungard, which blames “COVID-19 and other macroeconomic trends including delayed customer spending decisions, insourcing and reductions in IT spending, energy inflation and reduction in demand for certain services”, the industry has seen key adjustments, where MCG believes that engineering cost management and technological innovation will be paramount to success.
MCG reports that the more favorable market conditions expected over the next few years, helped by the winding down of pandemic restrictions and a hybrid working environment will be driving market momentum forward. The continuous injection of capital by alternative investment firms, as well as the growing infrastructural investment from cloud service providers and social media companies, whose revenues are expected to grow over 3.6x larger by value in 2026, will likely help propel center provision and innovation. These factors paint a promising picture for the industry players that offset rising input costs and adapt to new technologies.
According to M Capital Group: “Specifically, the long-term cost-saving opportunities available from the rise of remote managing will likely aid value growth for the industry. Through margin optimization and further availability of capital for reinvestment, strong players will maintain their competitive foothold, while weaker players exit the market to balance supply and demand.”
21. Consistent Generalize
Excessively Simple
Low Variance High Bias
cannot capture the underlying
trend
Underfit
Does not fit the data well enough
Excessively Complicated
Low Bias High Variance
captures the noise
Overfit
fits data too well
22. D’CANA - DECISION TREE CLASSIFICATION ADDENDUM
FOR NUMERICAL ATTRIBUTES
What if the following samples are seen in test data?
• A whale of length 7 m, which is actually a Killer Whale.
• .
• A whale of length 3 m, which is actually a Beluga Whale.
Data Segmentation
Seen bands – [4,5], [15-16], [25-26]
Unseen bands – [<=3], [6-14], [17-24], [>26]
