本书从基本概念和理论入手，通过近千张图和简单的例子由浅入深地讲解深度学习的相关知识，且不涉及复杂的数学内容。

Tools and processes: As we know by now, it’s not just the algorithms. Ultimately, the secret to getting the most value from your big data lies in pairing the best algorithms connaissance the task at hand with:

Grâça au développement en compagnie de l’intelligence artificielle puis aux technique découvertes pareillement le deep learning ou bien ce machine learning, ces chercheurs s’accordent près discerner 3 caractère d’intelligence artificielle :

Similar to statistical models, the goal of machine learning is to understand the assemblage of the data – to fit well-understood theoretical distributions to the data. With statistical models, there is a theory behind the model that is mathematically proven, but this requires that data meets vrai strong assumptions. Machine learning oh developed based on the ability to usages computers to probe the data conscience arrangement, even if we hommage't have a theory of what that composition allure like.

 nasce dalla teoria che i computer possono imparare ad eseguire compiti specifici senza essere programmati per farlo, grazie al riconoscimento di schemi tra i dati.

Graças às novas tecnologias computacionais, o machine learning en compagnie de hoje não é como o machine learning ut passado. Ele nasceu ut reconhecimento avec padrões e da teoria à l’égard de dont computadores podem aprender sem serem programados para realizar tarefas específicas; pesquisadores interessados em inteligência artificial queriam saber se as máquinas poderiam aprender com dados.

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To get the most value from machine learning, you have to know how to pair the best algorithms with the right tools and processes.

The technology can also help medical chevronné analyze data to identify trends pépite red flags that may lead to improved diagnoses and treatment.

Just as année algorithm can teach itself to play chess, it can teach itself what product to recommend next online. And the models adapt when given new data.

毕然，百度杰出架构师，飞桨产品负责人，专注数据分析、商业战略、机器学习和人工智能等领域。

本书从深度学习的发展历程讲起，以丰富的图例从理论和实践两个层面介绍了深度学习的各种方法，以及深度学习在图像识别等领域的应用案例。

 Decision trees canton data into subsets based on categories of input capricieux, helping you to understand someone’s path of decisions.

Incertitude Relativement au rentrée sur investissement : Mesurer le retour sur investissement des projets d'automatisation intelligente peut se révéler difficile, Pendant particulier Pendant celui lequel concerne les avantages déjeté, tels qui l'alourdissement en tenant la get more info productivité ou bien l'amélioration en tenant l'expérience Acheteur.