دانلود کتاب تکنیک های علوم داده و کاربردهای هوشمند

We are in the  data-driven age, and the data science field has gained attention of people not only from the technical field but also from all the areas of society. There has been tremendous growth in data every day, and we are equipping ourselves with the best set of tools and technologies to handle those data. Data science has become a core capability everywhere, more specifically in the industrial sector. Many  ecommerce businesses are data driven. Every day, these  ecommerce businesses collect a huge amount of data, analyze the data and decide on some policy to improve the business. The fourth industrial revolution we are observing all over the globe is based on data science and its allied fields. Machine learning, deep learning and artificial intelligence are the key elements in data science. Data science with its scientific methods gives conclusions and analysis, while machine learning and deep learning algorithms help to have predictive models. There are several algorithms available with machine learning such as supervised learning, reinforcement learning and unsupervised learning. Classification is the most popular category of machine learning algorithms. The researchers and practitioners use machine learning and deep learning algorithms as per their requirements and suitability of the algorithms to their problem statement. Deep learning techniques also play a crucial role in the design of intelligent applications.