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May 18

How can data scientists write production-quality machine learning code? — TurinTech AI

Data science is a field that encapsulates a range of skills. However, in the data scientist’s toolbox, coding might become an underrated tool. In order to derive optimal results, a data scientist may choose to focus on a mathematical or conceptual component of their data science task. This strategy might…

Data Science

5 min read

How can data scientists write production-quality machine learning code? — TurinTech AI
How can data scientists write production-quality machine learning code? — TurinTech AI

May 4

Artificial intelligence for hedge funds: How can machine learning and code optimisation generate greater alpha? — TurinTech AI

The applications of AI in the financial sector are multi-faceted. In this article, we explore some key use cases of AI for hedge funds. We also look at potential challenges in implementing AI-based solutions, and how hedge funds can circumvent these challenges. In an analysis done in 2020, consulting and…

Hedge Funds

5 min read

Artificial intelligence for hedge funds: How can machine learning and code optimisation generate…
Artificial intelligence for hedge funds: How can machine learning and code optimisation generate…

Apr 22

AI and environmental sustainability: a look into evoML’s green metrics and code optimisation — TurinTech AI

AI is a sector that is often perceived as having both positive and negative impacts on the environment. On the one hand, AI is able to provide innovative and scalable solutions to tackle the root causes of climate change . Measuring and reducing emissions at scale and enabling innovative business…

Greenai

5 min read

AI and environmental sustainability: a look into evoML’s green metrics and code optimisation —…
AI and environmental sustainability: a look into evoML’s green metrics and code optimisation —…

Apr 14

Customer Churn Prediction using Machine Learning: a step-by-step guide with evoML — TurinTech AI

In our previous article, Customer Churn Prediction and Prevention Using AI , we pointed out the role of AI in predicting and preventing customer churn. We mentioned that it can cost between 6 to 7 times more to get a new customer, when compared with retaining an existing customer. …

Customer Churn

6 min read

Customer Churn Prediction using Machine Learning: a step-by-step guide with evoML — TurinTech AI
Customer Churn Prediction using Machine Learning: a step-by-step guide with evoML — TurinTech AI

Mar 3

Time Series Forecasting: Predicting Dow Jones Prices and Trends with evoML

Forecasting is a crucial component in decision-making. In order to make good decisions in the present, we must be able to, at least with some accuracy, anticipate future events and the consequences of our actions on those future incidents. Time Series Forecasting Machine learning can be applied to time series data in order…

Time Series Analysis

8 min read

Time Series Forecasting: Predicting Dow Jones Prices and Trends with evoML
Time Series Forecasting: Predicting Dow Jones Prices and Trends with evoML

Jan 27

How Can Complex ML Models Run Fast? Trade-off between model complexity and running speed

There are several concerns when selecting machine learning models for a specific task. The model performance is of course a prime concern. Besides, the model complexity and speed are vital in scenarios requiring a fast deployment or quick response from models. …

Artificial Intelligence

7 min read

How Can Complex Models Run Fast? Trade-off between model complexity and running speed.
How Can Complex Models Run Fast? Trade-off between model complexity and running speed.

Dec 8, 2021

Fast Hyperparameter Tuning to Improve Model Performance

Hyperparameter tuning plays an important role in the process of training an optimal machine learning model. During the training process, the performance of the target model is evaluated by monitoring metrics such as the values of the loss function or the accuracy score on the test/validation set, on which basis…

Artificial Intelligence

3 min read

Fast Hyperparameter Tuning to Improve Model Performance
Fast Hyperparameter Tuning to Improve Model Performance

Nov 24, 2021

Feature Selection: The ‘why’ , the ‘what’ and the ‘how’

Five common methods to select the most relevant and useful features, improving the efficiency and effectiveness of model training. — Data scientists often use Feature Selection techniques to reduce the number of features and keep the most relevant/useful ones before training a ML model on data. …

Artificial Intelligence

7 min read

Feature Selection: The ‘why’ , the ‘what’ and the ‘how’
Feature Selection: The ‘why’ , the ‘what’ and the ‘how’

Nov 9, 2021

Feature Generation: what it is and how to do it?

In the real-world, dataset collection is loosely controlled, noisy, unreliable, redundant, and incomplete. This makes data pre-processing an integral stage in the machine learning pipeline. In our previous blogs, we introduced how to improve data quality and how to handle imbalanced data. …

Feature Engineering

4 min read

Feature Generation: what it is and how to do it
Feature Generation: what it is and how to do it

Oct 28, 2021

Four Methods to Statistically Measure Your Data Correlation

Correlations is a measure of the association between variables. They measure to what extent one variable is affected by a change in another variable. In this article, we will explain the importance of data correlation in machine learning, and introduce four common methods to calculate your data correlation. Why Data Correlation is Important? Understanding which…

Data Relationships

4 min read

Four Methods to Statistically Measure Your Data Correlation
Four Methods to Statistically Measure Your Data Correlation
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