Data Science and Computer Science often go hand-in-hand, but what really makes them different? What do they have in common? After experiencing several different roles in Data Science at various companies, I have realized general themes of the Data Science process, along with how Computer Science is incorporated into that process as well. It is important to note the differences between these two positions, as well as when one requires the other, and vice versa.Read More
Understanding the components of a time series. For someone who originally comes from an economics background, it might seem quite strange that I would spend some time building models that can predict weather patterns. I often questioned it myself — but there is a reason for it. Temperature patterns are one of the easiest time series to forecast.Read More
In our recent work, we detail an AI and machine learning mechanism able to assist in correlating a large body of text with numerical data series used to describe financial performance as it evolves over time. Our deep learning-based system pulls out from large amounts of textual data potentially relevant and useful textual descriptions that explain the performance of a financial metric of interest – without the need of human experts or labelled data.
The post IBM’s Squawk Bot AI helps make sense of financial data flood appeared first on IBM Research Blog.
Harness, an automated CI/CD platform for engineering and DevOps teams, has raised $115 million at a $1.7 billion valuation.Read More
The last decade has seen an alarming proliferation of artificial intelligence (“AI”) to monitor protests, predict crime, and profile minorities, in ways that gravely threaten our human rights. The European Commission has pledged to develop groundbreaking regulation of these technologies that will “safeguard fundamental EU values and rights.” In a letter published this week, Human Rights Watch joined more than sixty civil society and rights groups to hold the commission to its word, urging decisive action to prevent abusive applications of AI.Read More
AI-enabled diagnostic and treatment platform Paige (formerly Paige.AI) has announced a $100 million Series C round led by Casdin Capital and Johnson & Johnson Innovation. The startup’s prior backers and other unnamed funds also took part in the raise.Read More
Sana Labs, a Stockholm-based online training platform, raised $18 million (approx £13.1 million) in a Series A round led by EQT Ventures. The funding round brings the total amount raised to $23 million (approx £17 million). The new funding will be used to invest more in technology R&D, sales-focused marketing, and people to make this happen.Read More
We have mapped over 120 companies; new and old, large and small, according to their subsegment and the precise type of automation they provide. Find an intro & explanation to the map.Read More
A strategy for machine learning has been developed that exploits the fact that data are often collected in different ways with varying levels of accuracy. The approach was used to build a model that predicts a key property of materials.Read More
Combining Part 1 and 2: Probably imagining a robot or terminator when asking about machine learning, in reality, machine learning is beyond and involved in almost all application you can imagine in our today world. Think of spam filter in your email, voice, face and fingerprint recognition on your phone, your Siri on iPhone, google assistance on android device etcetera have an iota of machine learning.Read More
As I have been studying forecasting time series analysis… I endeavored to use the code that I already have and was able to forecast the values using Facebook Prophet and also statsmodels. The dataset I used was the temperatures in Melbourne, Australia from 1981 to 1990.Read More
An introduction and detailed explanation of SVM (an ML algorithm used for classification, regression problems, and outlier detection).Read More