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What you can expect are 400 pages rich in useful material just about everything you need to know to get started with machine learning. From theory to the actual code that you can directly put into action! This is not yet just another "this is how scikit-learn works" book. I aim to explain all the underlying concepts, tell you everything you need to know in terms of best practices and caveats, and we will put those concepts into action mainly using NumPy, scikit-learn, and Theano. This is not yet just another "this is how scikit-learn works" book. its aim is to explain how Machine Learning works, tell you everything you need to know in terms of best practices and caveats, and then we will learn how to put those concepts into action using NumPy, scikit-learn, Theano and so on. ...

...Combining AI QMS, speech analytics, sentiment analysis and real-time agent assist, it analyzes 100% of customer interactions to uncover customer intent, behaviour, buying signals, and conversion opportunities. The platform delivers automated evaluations, real-time insights, and next-best-action recommendations that enable agents to resolve queries faster, improve support quality, and close more deals. With closed-loop optimization and enterprise-grade analytics, businesses can continuously improve customer support, sales, collections.. Designed for industries including BFSI, BPO, healthcare, insurance, retail, and education, ID Insight transforms every customer conversation into actionable intelligence, helping organizations increase conversions, improve operational efficiency and accelerate revenue growth at scale.