Turingminds.ai Reviews

UpGrad's Investment in TuringMinds

Upskilling and HR solutions provider EdTech major upGrad has invested Rs 30 crore in its brand TuringMinds, which outsources AI/ML research and product development. The company operates 15 offline facilities across the US, India, Europe and Middle East, and has 250 product engineers.

Find out more about this company in our Expert Collections. These analyst-curated lists highlight the companies to know in each area of technology.

Machine Learning

Machine learning is a data-driven approach to creating software that can learn from and improve itself. It is used in a variety of business applications, such as email filters that detect spam, social media tools that recommend friends, and search engines that provide personalised results. It is also used in self-driving cars, cyber fraud detection, and facial recognition.

In some cases, machine learning performs tasks that humans simply cannot, including identifying objects in images, understanding natural language, and making medical diagnoses. It can help automate processes, reduce costs, and improve performance.

Despite the promise of ML, there are some things business leaders need to know before investing in this technology. For example, it’s important to understand the limitations and potential hazards of implementing machine learning.

Artificial Intelligence

Artificial intelligence is a computer system that replicates human intelligence and learns from experiences. This can range from the simple, like a computer learning to play chess or identify patterns in images and speech, to the complex, such as a robot performing surgery or a system that predicts cancer before a doctor diagnoses it.

AI can help companies get more out of their data by identifying patterns and relationships that humans miss. It can also automate processes, like verifying documents or transcribing customer calls, freeing up human capital to focus on higher-impact activities.

However, AI can go rogue. Without proper safeguards, it can endanger human life or reproduce past injustices. This is why it’s important for organizations to ensure their AI systems accord with fundamental human values.

Deep Learning

Deep learning is the name given to a set of algorithms that use artificial neural networks with many layers. It is the fastest-growing area of machine learning and has applications in many fields. A deep learning algorithm can recognize objects in an image, understand text, and perform mathematical manipulations.

There is no agreed-upon limit to what constitutes deep learning, but it typically involves a model with more than two layers. These deeper models are better able to learn features and reduce dimensionality.

The result is improved performance for tasks such as facial recognition, object detection and recognition, and speech-to-text. It has also been used for inverse problems such as film colorization, denoising, and super-resolution, as well as for predictive analytics. It has been incorporated into personal assistants such as Siri, Alexa, and Cortana, and into recommendation systems that suggest movies or music for you to watch or listen to.

Data Science

Data science is the process of analyzing data and creating models that predict future trends. This includes identifying patterns and correlations in the data that can be used to make better decisions. It also involves preparing, cleaning, and aggregating data.

The company’s offices in Hyderabad, Bengaluru and Detroit currently operate with a professional workforce of 250 product engineers. It aims to double this number in the next quarter. It will also work to incubate 50 prototypes including products and accelerators and file eight to 10 patents to support small- and medium-scale industries.

Turingminds provides a platform to hire top-vetted developers within 4 days. This allows companies to scale their engineering teams quickly and efficiently. Its customers include leading brands in various industries across the U.S.

Big Data

Big data is a term used to describe large datasets that are typically stored in distributed systems. It can be analyzed using machine learning algorithms to find patterns or predict outcomes. It can also be used to identify fraud or other anomalies in a system. There are five characteristics of big data: volume, velocity, variety, veracity, and value.

Ronnie Screwvala-founded edtech start-up, upGrad, will invest Rs 30 crore in TuringMinds to build an ecosystem of senior data scientists and ML engineers through campus recruitments in India. It will also focus on incubating 50 prototypes (including products and accelerators) and filing eight to ten patents to support SMEs and medium-scale industries.

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