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How machines learned to think like humans Asimov’s “I, Robot” might have predicted a world where robots behaved like humans, but it was the father of AI, Alan Turing, who laid the foundation for artificial intelligence back in the 1950s. It was his Turing Test, designed to see whether machines could imitate conversational behavior enough to be indistinguishable from humans, …

The emergence of Deep Learning in Machine Intelligence presents a revolutionary way of transforming everyday convenience, as it enables machines to learn from raw data and improve their performance with more information, while being cautious of potential pitfalls and biases to ensure balanced and trustworthy implementation.

Big data and machine learning can achieve significant breakthroughs when combined and play indispensable roles in organizations today, allowing them to meet customer expectations and increase productivity.

The need for democratization of data science to provide equal opportunities for businesses to analyze data insights and improve decision-making processes. Machine learning and accessible insights have a substantial impact.

Artificial intelligence has revolutionized various industries by providing opportunities for automation, data management, and analysis, and predictive marketing. It is being used in healthcare, e-commerce, transportation, cybersecurity, and manufacturing industries to enhance productivity, efficiency, and workflows.