Pickl AI

OCTOBER 27, 2024

Key Takeaways Over 25,000 Data Science positions available across various industries. Average salary for Data Scientists is around ₹13,00,000 annually. Data Science skills apply to finance, healthcare, e-commerce, and technology. Data Scientists drive data-driven decisions, influencing business and societal outcomes.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Smart Data Collective

JUNE 4, 2021

Some of the applications of data science are driverless cars, gaming AI, movie recommendations, and shopping recommendations. Since the field covers such a vast array of services, data scientists can find a ton of great opportunities in their field. Data scientists use algorithms for creating data models.

Data Science 133

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The MLOps Blog

MARCH 21, 2023

From gathering and processing data to building models through experiments, deploying the best ones, and managing them at scale for continuous value in production—it’s a lot. As the number of ML-powered apps and services grows, it gets overwhelming for data scientists and ML engineers to build and deploy models at scale.

Machine Learning 69

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Pickl AI

FEBRUARY 27, 2024

Harnessing Big Data and Machine Learning The proliferation of big data has revolutionized how Financial Analysts approach data analysis. From algorithmic trading strategies to credit risk assessment, the potential applications of big data and machine learning in finance are limitless.

Data Visualization 52

Data Visualization Data Analyst SQL Data Analysis 52

Heartbeat

MARCH 21, 2023

I was interested to see what types of problems were solved and which particular algorithms were used with the different loss functions. I decided that aggregating this data would give me a rough idea about what loss functions were commonly being used to solve the different problems. Innovation and academia go hand-in-hand.

Deep Learning 52

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Heartbeat

JULY 11, 2023

It entails creating and using algorithms and methods to provide computers with the ability to recognize, decipher, and produce human language in a natural and meaningful manner. Having the ability to analyze and understand textual data at scale thanks to natural language processing (NLP), enterprises may play a big role in content marketing.

Natural Language Processing 40

Natural Language Processing Algorithm Artificial Intelligence Artificial Intelligence 40

Heartbeat

MAY 11, 2023

Listen to our own CEO Gideon Mendels chat with the Stanford MLSys Seminar Series team about the future of MLOps and give the Comet platform a try for free ! ✨ The algorithm for selecting layers in the model quantizes certain parts to minimize loss of information while ensuring a balance between latency and accuracy.

Deep Learning 75

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