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Search Results for: machine learning – Page 48

AI Mysteries

A guide to XAutoML: A tool for visual analytics

XAutoML is an analytics tool that explains the AutoML optimization procedures and machine learning pipelines constructed by AutoML.

24/03/2022

AI Mysteries

A guide to explaining feature importance in neural networks using SHAP

SHAP values (SHapley Additive exPlanations) is an awesome tool to understand your complex Neural network models and other machine learning models such as Decision trees, Random forest.

22/03/2022

AI Origins & Evolution

No free lunch theorem in Quantum Computing

In machine learning, the no-free lunch theorem suggests that all optimisation algorithms perform equally well when their performance is averaged over many problems and training data sets.

21/03/2022

AI Origins & Evolution

How to read AI/ML research papers

You can use resources like Machine Learning Subreddit and Deep Learning Subreddit to enrich your understanding.

19/03/2022

Why should AI & data science courses include business case studies?

AI Origins & Evolution

Why should AI & data science courses include business case studies?

Nearly 127 diploma institutes and 663 undergraduate colleges offer specialised courses in AI, data science, analytics, blockchain, machine learning, and robotics.

18/03/2022

AI Origins & Evolution

Why changing computing trends across different ML eras matter

the history of compute in machine learning can be categorised into three eras – the Pre Deep Learning Era, the Deep Learning Era and the Large-Scale Era.

17/03/2022

AI Origins & Evolution

Is the future of AI supervised?

As per Gartner, supervised learning will continue to be the most popular type of machine learning in 2022.

14/03/2022

AI Mysteries

A guide to automated time-series modelling with FEDOT

FEDOT is a framework that supports automated machine learning modelling and is available to us as open-source. Using this framework we can customise the pipeline of machine learning modelling procedures.

12/03/2022

Intellectual AI Discussion

My journey in data science: Asha Vishwanathan, Verloop.io

I worked on changing the ride-sharing scene in Bengaluru using machine learning methodologies and data science.

11/03/2022

AI Origins & Evolution

What pisses off data scientists the most

For machine learning engineers, the biggest roadblock to getting models to production is access to compute resources.

09/03/2022

AI Mysteries

How to visualise different ML models using PyCaret for optimization?

In machine learning, optimization of the results produced by models plays an important role in obtaining better results. We normally get these results in tabular form and optimizing models using such tabular results makes the procedure complex and time-consuming. Visualizing results in a good manner is very helpful in model optimization.

06/03/2022

AI News & Update

Industrial AI startup ExactSpace Technologies raises USD 1.4 million as seed funding

The company’s AI platform Pulse brings solutions to their clients that combine machine learning and industry knowledge.

01/03/2022

Saarthee: One-Stop Shop For All Things Data, Analytics and more

Tech & AI Blend

Saarthee: One-stop shop for data, analytics & more

offers a 360-degree view to derive useful insights via services like data management, data engineering, data visualisation, predictive modelling, machine learning, voice analytics and marketing campaign execution.

01/03/2022

AI Mysteries

How to perform Named Entity Recognition (NER) using a transformer?

This article is focused on making the procedure of NER easy and trustworthy. Since we know about the success of transformers in machine learning, we can say that for NER using a transformer can be reliable for us.

24/02/2022

AI Mysteries

How can times series forecasting be done using random forest?

Random forest is also one of the popularly used machine learning models which have a very good performance in the classification and regression tasks. A random forest regression model can also be used for time series modelling and forecasting for achieving better results.

23/02/2022

AI Mysteries

Build your first ML pipeline in Kubeflow

Kubeflow is an end-to-end machine learning stack orchestration toolset based on Kubernetes for deploying, scaling, and managing complex systems.

14/02/2022

AI Origins & Evolution

Thinking fast and slow with AI

At the ICMR 2020 event, Yoshua Bengio stressed the need to move from unconscious to fully conscious machine learning approaches.

14/02/2022

AI Origins & Evolution

Google AI researchers present a new method to train models, ‘DeepCTRL’

DeepCTRL is now being evaluated on machine learning use cases in physics and healthcare, both of which rely heavily on rules.

13/02/2022

AI Mysteries

Using Kubeflow to solve natural language processing problems

Kubeflow is an open-source platform for scalable machine learning model training and serving.

10/02/2022

AI Origins & Evolution

Why is ML research disconnected from reality

“A lot of machine learning research has detached itself from solving real problems, and created their own “benchmark-islands”.”

01/02/2022

AI News & Update

Amazon to open its first AI-powered fashion store called Amazon Style

Our machine learning algorithms produce tailored, real-time recommendations for each customer as they shop.

21/01/2022

AI Mysteries

How to ensure robustness of neural networks using FoolBox?

Most advanced machine learning models based on CNN can now be easily fooled by very small changes to the samples on which we are going to make a prediction, and the confidence in such a prediction is much higher than with normal samples.

08/01/2022

AI Mysteries

How to ensemble neural networks using AdaNet?

In machine learning, ensemble approaches combine many weak learners to achieve better prediction performance than each of the constituent learning algorithms alone.

08/01/2022

AI Mysteries

A Guide to ECCO: Python Based Tool for Explainability of Transformers

Explainability in machine learning refers to the process of explaining a machine learning model’s decision to a human. The term “model explainability” refers to the ability of a human to understand an algorithm’s decision or output.

04/01/2022

AI News & Update

IIT-Delhi introduces ‘Pillay Chair Professor’ to promote research in ML

IIT Delhi alumnus Sanjay Pillay has endowed the Pillay Chair Professor. This chair will enhance the institute’s strengths to promote excellence and leadership in teaching, research and development in Machine Learning, VLSI Design and Sensors.

29/12/2021

AI Origins & Evolution

TinyML is going to get bigger in 2022

TinyML’s scalable real-world applications, which can enable machine learning on small IoT devices, are currently being debated by IoT experts.

29/12/2021

Creative AI

6 AI and ML conferences that you cannot miss in 2022

Analytics India Magazine has created a list of top AI and machine learning (ML) events that you should not miss in 2022.

24/12/2021

AI Origins & Evolution

Explaining Web 3.0 To A Six-Year-Old

Web 3.0 has just enhanced the experience ever more by using new-age technologies like artificial intelligence and machine learning to create a data-driven internet

24/12/2021

AI News & Update

Hugging Face Acquires Gradio, A Customizable UI Components Library For Python

By acquiring Gradio, a machine learning startup, Hugging Face will offer users, developers, and data scientists the tools needed to get to high-level results and create better models and tools.

23/12/2021

AI Mysteries

FuseDream: A Hands-On Tutorial on This Text-to-Image Generation Tool

Automatically generating realistic images is a difficult task, even the most advanced machine learning algorithms struggle to meet this requirement.

15/12/2021

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