--- title: Avenue Code Snippets | Hossein Javedani Sadaei description: Hossein Javedani Sadaei is a Machine Learning Practice Lead at Avenue Code with a post-doctoral in big data mining and a PhD in statistics. He works mostly with machine learning and deep learning in retail, telecommunication, energy, and stock. His main expertise is developing scalable machine learning and deep learning algorithms using fuzzy logics. --- [AvenueCode.com](https://avenuecode.com) [News](https://avenuecode.com/news) [Contact](https://avenuecode.com/contact) [![Avenue Code Snippets Logo](https://blog.avenuecode.com/hubfs/Avenue%20Code%20New%20Logos%20-%202023/AC-Snippets---Black.png)](https://blog.avenuecode.com/) *menu* - Technology [Cloud and DevOps](https://blog.avenuecode.com/blog/topic/cloud-and-devops?hsLang=en-us) [Delivery Infrastructure](https://blog.avenuecode.com/blog/topic/delivery-infrastructure?hsLang=en-us) [Web Experience](https://blog.avenuecode.com/blog/topic/web-experience?hsLang=en-us) [Agile Mindset](https://blog.avenuecode.com/blog/topic/agile-mindset?hsLang=en-us) [Quality Assurance](https://blog.avenuecode.com/blog/topic/quality-assurance?hsLang=en-us) [Integration](https://blog.avenuecode.com/blog/topic/integration?hsLang=en-us) [Design and UX](https://blog.avenuecode.com/blog/topic/design-and-ux?hsLang=en-us) [Solutions Architecture](https://blog.avenuecode.com/blog/topic/solution-architecture?hsLang=en-us) [Data and Machine Learning](https://blog.avenuecode.com/blog/topic/data-and-machine-learning?hsLang=en-us) [Mobile Experience](https://blog.avenuecode.com/blog/topic/mobile-experience?hsLang=en-us) [Microservices](https://blog.avenuecode.com/blog/topic/microservices?hsLang=en-us) - [Whitepapers](https://blog.avenuecode.com/blog/topic/whitepapers?hsLang=en-us) - [Spotlight](https://blog.avenuecode.com/blog/topic/spotlight?hsLang=en-us) - [Extraordinary Women in Tech](https://blog.avenuecode.com/blog/topic/extraordinary-women-in-tech?hsLang=en-us) - [Avenue Code Culture](https://blog.avenuecode.com/blog/topic/avenue-code-culture?hsLang=en-us) - [Cloud and DevOps](https://blog.avenuecode.com/blog/topic/cloud-and-devops?hsLang=en-us) - [Design and UX](https://blog.avenuecode.com/blog/topic/design-and-ux?hsLang=en-us) - [Delivery Infrastructure](https://blog.avenuecode.com/blog/topic/delivery-infrastructure?hsLang=en-us) - [Solutions Architecture](https://blog.avenuecode.com/blog/topic/solution-architecture?hsLang=en-us) - [Web Experience](https://blog.avenuecode.com/blog/topic/web-experience?hsLang=en-us) - [Data and Machine Learning](https://blog.avenuecode.com/blog/topic/data-and-machine-learning?hsLang=en-us) - [Agile Mindset](https://blog.avenuecode.com/blog/topic/agile-mindset?hsLang=en-us) - [Mobile Experience](https://blog.avenuecode.com/blog/topic/mobile-experience?hsLang=en-us) - [Microservices](https://blog.avenuecode.com/blog/topic/microservices?hsLang=en-us) - [Quality Assurance](https://blog.avenuecode.com/blog/topic/quality-assurance?hsLang=en-us) - [Integration](https://blog.avenuecode.com/blog/topic/integration?hsLang=en-us) - [Whitepapers](https://blog.avenuecode.com/blog/topic/whitepapers?hsLang=en-us) - [Spotlight](https://blog.avenuecode.com/blog/topic/spotlight?hsLang=en-us) - [Extraordinary Women in Tech](https://blog.avenuecode.com/blog/topic/extraordinary-women-in-tech?hsLang=en-us) - [Avenue Code Culture](https://blog.avenuecode.com/blog/topic/avenue-code-culture?hsLang=en-us) ## [Featured [Best Practices for Machine Learning with GCP](https://blog.avenuecode.com/best-practices-for-machine-learning-with-gcp?hsLang=en-us) *perm\_identity* [Hossein Javedani Sadaei](https://blog.avenuecode.com/best-practices-for-machine-learning-with-gcp/author/hossein-javedani-sadaei?hsLang=en-us) *schedule* 9/18/19 2:00 PM](https://blog.avenuecode.com/best-practices-for-machine-learning-with-gcp?hsLang=en-us) ## [Best Practices for Machine Learning with GCP](https://blog.avenuecode.com/best-practices-for-machine-learning-with-gcp?hsLang=en-us) *perm\_identity* [Hossein Javedani Sadaei](https://blog.avenuecode.com/best-practices-for-machine-learning-with-gcp/author/hossein-javedani-sadaei?hsLang=en-us) *schedule* 9/18/19 2:00 PM In this blog, I am going to explain some of the best practices for building a machine learning system in Google Cloud Platform. We'll start by showing how to understand and formulate the problem and end with tips for training and deploying the model. We'll also discuss required GCP tools, data... *perm\_identity* [Hossein Javedani Sadaei](https://blog.avenuecode.com/best-practices-for-machine-learning-with-gcp/author/hossein-javedani-sadaei?hsLang=en-us) *schedule* 9/18/19 2:00 PM [READ MORE](https://blog.avenuecode.com/best-practices-for-machine-learning-with-gcp?hsLang=en-us) ## [Google Cloud AI Product Review, Part 2](https://blog.avenuecode.com/review-of-google-cloud-ai-products-part-2?hsLang=en-us) *perm\_identity* [Hossein Javedani Sadaei](https://blog.avenuecode.com/review-of-google-cloud-ai-products-part-2/author/hossein-javedani-sadaei?hsLang=en-us) *schedule* 12/19/18 7:00 PM Most tech savvy people these days know about the potential for cloud computing technology and how the cloud has already affected businesses by effectively storing data and balancing the existing workloads. Google Cloud Platform has been adopted by many organizations for building AI solutions,... *perm\_identity* [Hossein Javedani Sadaei](https://blog.avenuecode.com/review-of-google-cloud-ai-products-part-2/author/hossein-javedani-sadaei?hsLang=en-us) *schedule* 12/19/18 7:00 PM [READ MORE](https://blog.avenuecode.com/review-of-google-cloud-ai-products-part-2?hsLang=en-us) ## [Google Cloud AI Product Review, Part 1](https://blog.avenuecode.com/google-cloud-ai-product-review-part-1?hsLang=en-us) *perm\_identity* [Hossein Javedani Sadaei](https://blog.avenuecode.com/google-cloud-ai-product-review-part-1/author/hossein-javedani-sadaei?hsLang=en-us) *schedule* 12/12/18 7:00 PM Nowadays, using the cloud to develop artificial intelligence apps is common for medium and large-sized companies, and compared to other cloud service providers, Google has a big share of the market. *perm\_identity* [Hossein Javedani Sadaei](https://blog.avenuecode.com/google-cloud-ai-product-review-part-1/author/hossein-javedani-sadaei?hsLang=en-us) *schedule* 12/12/18 7:00 PM [READ MORE](https://blog.avenuecode.com/google-cloud-ai-product-review-part-1?hsLang=en-us) ## [Using Deep Convolutional Neural Networks (DCNNs) for Time Series Forecasting Using Tensorflow - Part 3](https://blog.avenuecode.com/using-deep-convolutional-neural-networks-dcnns-for-time-series-forecasting-using-tensorflow-part-3?hsLang=en-us) *perm\_identity* [Hossein Javedani Sadaei](https://blog.avenuecode.com/using-deep-convolutional-neural-networks-dcnns-for-time-series-forecasting-using-tensorflow-part-3/author/hossein-javedani-sadaei?hsLang=en-us) *schedule* 5/23/18 5:00 PM In [part 1](https://blog.avenuecode.com/using-deep-convolutional-neural-networks-dcnns-for-time-series-forecasting-using-tensorflow-part-1?hsLang=en-us) of this tutorial, we explained the advantages of and proposed a methodology for using DCNNs for time series analysis by converting time series into gray-scale images. In [part 2](https://blog.avenuecode.com/using-deep-convolutional-neural-networks-dcnns-for-time-series-forecasting-using-tensorflow-part-2?hsLang=en-us), we defined a Python class and various methods to perform data processing. In our third and final part, we will... *perm\_identity* [Hossein Javedani Sadaei](https://blog.avenuecode.com/using-deep-convolutional-neural-networks-dcnns-for-time-series-forecasting-using-tensorflow-part-3/author/hossein-javedani-sadaei?hsLang=en-us) *schedule* 5/23/18 5:00 PM [READ MORE](https://blog.avenuecode.com/using-deep-convolutional-neural-networks-dcnns-for-time-series-forecasting-using-tensorflow-part-3?hsLang=en-us) ## [Using Deep Convolutional Neural Networks (DCNNs) for Time Series Forecasting Using Tensorflow - Part 2](https://blog.avenuecode.com/using-deep-convolutional-neural-networks-dcnns-for-time-series-forecasting-using-tensorflow-part-2?hsLang=en-us) *perm\_identity* [Hossein Javedani Sadaei](https://blog.avenuecode.com/using-deep-convolutional-neural-networks-dcnns-for-time-series-forecasting-using-tensorflow-part-2/author/hossein-javedani-sadaei?hsLang=en-us) *schedule* 5/16/18 5:00 PM [In our last post](https://blog.avenuecode.com/using-deep-convolutional-neural-networks-dcnns-for-time-series-forecasting-using-tensorflow-part-1?hsLang=en-us), we discussed the importance of developing a strong forecasting engine to predict future energy consumption based on data from past energy consumption. We then discussed the suitability of using a Deep Convolutional Neural Network (DCNN) to form accurate predictions and examined... *perm\_identity* [Hossein Javedani Sadaei](https://blog.avenuecode.com/using-deep-convolutional-neural-networks-dcnns-for-time-series-forecasting-using-tensorflow-part-2/author/hossein-javedani-sadaei?hsLang=en-us) *schedule* 5/16/18 5:00 PM [READ MORE](https://blog.avenuecode.com/using-deep-convolutional-neural-networks-dcnns-for-time-series-forecasting-using-tensorflow-part-2?hsLang=en-us) ## [Using Deep Convolutional Neural Networks (DCNNs) for Time Series Forecasting Using Tensorflow - Part 1](https://blog.avenuecode.com/using-deep-convolutional-neural-networks-dcnns-for-time-series-forecasting-using-tensorflow-part-1?hsLang=en-us) *perm\_identity* [Hossein Javedani Sadaei](https://blog.avenuecode.com/using-deep-convolutional-neural-networks-dcnns-for-time-series-forecasting-using-tensorflow-part-1/author/hossein-javedani-sadaei?hsLang=en-us) *schedule* 5/9/18 5:00 PM Have you ever wondered how to convert a prediction problem into a new format so that you can solve it using available strong forecasting engines? In Part I of this tutorial, I will discuss how to solve one of the most challenging forecasting problems--the next state forecasting trend of electricity... *perm\_identity* [Hossein Javedani Sadaei](https://blog.avenuecode.com/using-deep-convolutional-neural-networks-dcnns-for-time-series-forecasting-using-tensorflow-part-1/author/hossein-javedani-sadaei?hsLang=en-us) *schedule* 5/9/18 5:00 PM [READ MORE](https://blog.avenuecode.com/using-deep-convolutional-neural-networks-dcnns-for-time-series-forecasting-using-tensorflow-part-1?hsLang=en-us) ## [How Machine Learning Applications Save Retailers Time and Money - Part 2](https://blog.avenuecode.com/how-machine-learning-applications-save-retailers-time-and-money-part-2?hsLang=en-us) *perm\_identity* [Hossein Javedani Sadaei](https://blog.avenuecode.com/how-machine-learning-applications-save-retailers-time-and-money-part-2/author/hossein-javedani-sadaei?hsLang=en-us) *schedule* 2/14/18 6:00 PM From controlling smart cars on earth to forecasting solar flares in space, machine learning technologies are being more and more widely implemented. Today, we’ll continue[last week’s discussion](https://blog.avenuecode.com/how-machine-learning-applications-save-retailers-time-and-money?utm_campaign=Snippets%20Subscriptions&utm_source=hs_email&utm_medium=email&utm_content=60563789&_hsenc=p2ANqtz-_fe_E07lGs3mMyBCBM_Mu9pXZv7IcHnXpHcUSp6eHM63gmk1asqVmKEe8QK7lKCOrZa7hvu4La0zIahuX4TcbGwuonIGgcccCazkfMGzM2uIrhftk&_hsmi=60563789&hsLang=en-us) on machine learning applications in retail settings, including their uses in securing payment... *perm\_identity* [Hossein Javedani Sadaei](https://blog.avenuecode.com/how-machine-learning-applications-save-retailers-time-and-money-part-2/author/hossein-javedani-sadaei?hsLang=en-us) *schedule* 2/14/18 6:00 PM [READ MORE](https://blog.avenuecode.com/how-machine-learning-applications-save-retailers-time-and-money-part-2?hsLang=en-us) [Next](https://blog.avenuecode.com/author/hossein-javedani-sadaei/page/2?hsLang=en-us) ### Avenue Code Social [![Facebook Icon](https://blog.avenuecode.com/hubfs/Images/Blog/facebook.png?t=1486470796564)](https://www.facebook.com/avenuecode) [![Twitter Icon](https://blog.avenuecode.com/hubfs/Images/Blog/twitter.png?t=1486470796842)](https://twitter.com/AvenueCode) [![LinkedIn Icon](https://blog.avenuecode.com/hubfs/Images/Blog/linkedin.png?t=1486470796556)](https://www.linkedin.com/company/avenuecode/) ### Newsletter Want to stay on top of all tips and news from Avenue Code? ### Popular Snippets ![Avenue Code-primary versions_logo white avenue code endorsement 2](https://blog.avenuecode.com/hs-fs/hubfs/Avenue%20Code%20New%20Logos%20-%202023/Avenue%20Code-primary%20versions_logo%20white%20avenue%20code%20endorsement%202.png?width=1180&name=Avenue%20Code-primary%20versions_logo%20white%20avenue%20code%20endorsement%202.png "Avenue Code-primary versions_logo white avenue code endorsement 2") ### About Us - [Who We Are](https://www.avenuecode.com/who-we-are) - [What We Do](https://www.avenuecode.com/what-we-do) - [Portfolio](https://www.avenuecode.com/portfolio) - [Partners](https://www.avenuecode.com/partners) - [News](https://www.avenuecode.com/news) - [Events](https://www.avenuecode.com/events) - [Blog](https://blog.avenuecode.com/) - [Contact](https://www.avenuecode.com/contact) ### Our Offices San Francisco [+1 415 766 4178](tel:+553125161448) [ac.inquiries@avenuecode.com](mailto:brazil.info@avenuecode.com) Belo Horizonte [+55 31 2516 1448](tel:+553125161448) [brazil.info@avenuecode.com](mailto:brazil.info@avenuecode.com) São Paulo [+55 11 3205 3232](tel:+553125161448) [brazil.info@avenuecode.com](mailto:brazil.info@avenuecode.com) ### We're Hiring! - [Belo Horizonte](https://www.avenuecode.com/who-we-are) - [New York](https://www.avenuecode.com/what-we-do) - [San Francisco](https://www.avenuecode.com/portfolio) - [São Paulo](https://www.avenuecode.com/partners) --- ©2015 - 2017 Avenue Code [![Facebook Icon](https://blog.avenuecode.com/hubfs/Images/Icons/facebook-2.png)](https://www.facebook.com/avenuecode) [![Twitter Icon](https://blog.avenuecode.com/hubfs/Images/Icons/twitter-2.png)](https://twitter.com/AvenueCode) [![LinkedIn Icon](https://blog.avenuecode.com/hubfs/Images/Icons/linkedin-2.png)](https://www.linkedin.com/company/avenue-code) [![Glassdoor Icon](https://blog.avenuecode.com/hubfs/Images/Icons/glassdoor-icon-1.png)](https://www.glassdoor.com/Overview/Working-at-Avenue-Code-EI_IE456173.11,22.htm) [![YouTube Icon](https://blog.avenuecode.com/hubfs/Images/Icons/youtube-2.png)](https://www.youtube.com/user/AvenueCodePlay) © 2026 Avenue Code