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Data Science Journey Walkthrough – From Beginner to Expert

Smart Data Collective

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.

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How can Financial Analysts start leveraging data skills?

Pickl AI

Financial Analysts can leverage tools like Tableau, Power BI, or Excel to create visually compelling data representations, enabling stakeholders to grasp key insights at a glance. Harnessing Big Data and Machine Learning The proliferation of big data has revolutionized how Financial Analysts approach data analysis.

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How to Choose the Best Data Science Program

Pickl AI

Continuous Learning and Growth The field of Data Science is constantly evolving with new tools and technologies. Enrolling in a Data Science course keeps you updated on the latest advancements, such as machine learning algorithms and data visualisation techniques. The market for big data is projected to reach $3.38

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An Analysis of the Loss Functions in Keras CV Tutorials

Heartbeat

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.

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How to become a Statistician without a Degree?

Pickl AI

Clean and preprocess data to ensure its quality and reliability. Statistical Analysis: Apply statistical techniques to analyse data, including descriptive statistics, hypothesis testing, regression analysis, and machine learning algorithms. This can be a valuable asset when applying for jobs or graduate programs.