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ODSC APAC, ODSC’s first virtual data science training conference for the Asia-Pacific region is just a few weeks away and it’s time to start planning your conference. Over the course of two days, 50+ speakers will explore the ways in which AI is transforming different industries, from manufacturing to oil and gas. The first day, December 8th, will focus on India, while December 9th will focus on the influence of AI in the Asia-Pacific region. The ODSC APAC 2020 schedule will have something for everyone.

And, since we just released the APAC schedule, with details on session titles, speakers, and session times, now is the perfect time to start planning your conference agenda. …


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You likely hear about TensorFlow in the machine & deep learning circles for quite a while now, and for good reason. This Google-developed framework excels where many other libraries don’t, such as with its scalable nature designed for production deployment. With that, here are just a few reasons why you should be looking at learning TensorFlow to make your resume stand out when applying for jobs, creating scalable deliverables for your existing job, or if you’re just looking to learn a new tool.

1. Companies are actively searching for TensorFlow experts

A quick search in LinkedIn jobs or Indeed for jobs including TensorFlow will speak for itself — companies are looking for deep learning experts who know TensorFlow. As of writing, Indeed has listings for over 3000 jobs requesting TensorFlow pros, with PyTorch only getting around 2000. Many data science job listings focus around metropolitan areas like San Francisco, Austin, and Boston. …


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With any new skill, hobby, or career path, you likely have more questions than answers. How do I get started? What skills do I need to focus on first? What sources do I trust to learn all of this? Data science and machine learning are no different. While each field under the umbrella of data science has its own unique set of skills, there are a few basics that are universal. Here are the five skills you need to get started with data science and machine learning.

1. Linear Algebra

Time to bust out the high school and college textbooks again, because you’ll be needing algebra if you want to excel in data science. Linear algebra involves a lot of vectors and matrices, which are useful in representing large amounts of data — something you’ll see often in your life as a data scientist. Linear algebra is a core skill for deep learning, if you choose to go down that path. …


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In the nature of open-source data science, we want to make our conferences accessible to those who may not have a chance to attend. For the ODSC APAC Virtual Training Conference & Expo this December 8–9, we have a few ways that you can attend ODSC APAC 2020 free to experience content from world-renowned speakers and industry leaders that no other content can provide.

Scholarships to attend ODSC APAC

At ODSC, diversity, inclusion, and democratization of data science are core values. …


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ODSC APAC 2020 is just a few weeks away. With two days, December 8th and 9th, and 40+ talks dedicated to exploring the ways that AI has transformed industries as diverse as manufacturing and oil & gas, this is a virtual conference you don’t want to miss. Focus areas for ODSC APAC workshops covered include Research Frontiers, NLP, Data Visualization, Machine Learning and Deep Learning, and Data Engineering & MLOps.’

See the ODSC APAC 2020 schedule highlights here.

Plus, when you upgrade to an All-Access pass you’ll get live and on-demand access to a series of hands-on workshops led by renowned experts and some of the best and brightest minds in the data science and AI industry. …


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From airlines to bread-manufacturers, businesses are utilizing supply chain analytics to become lean and turn profitable. Leading retailer Walmart has taken the business to the next level with analytics. Read this blog to find out how these businesses are doing it, and where supply chain analytics is headed.

The Walmart Success

Do you know how many footfalls does Walmart draws each week? It’s about 265 million a week. To cater to such scales, it employs over 2.2 million people across 11,500 global stores. This huge employment isn’t the only reason that underpins the massive Walmart success. …


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Looking for on-demand and live training sessions, workshops, and tutorials from some of the leading experts and instructors in data science and AI, including Dr. Jon Krohn, Diedre Downing, Dr. Kirk Borne, Daria Stepanova, PhD, and Thomas Wolf, PhD? Check out the Ai+ Training Platform. Every week we’re adding new content, from on-demand sessions to coding assessments and practice tests. To help you keep track of what’s new, what’s upcoming, and what might be going into a vault soon, we’ll be releasing an Ai+ Training Platform update at the beginning of every month.

[Related article: AI+ Subscription Content Available Right…


K-Nearest Neighbour (KNN) Algorithms is an easy-to-implement & advanced level supervised machine learning algorithm used for both — classification as well as regression problems. However, you can see a wide of its applications in classification problems across various industries.

If you’ve been shopping a lot in e-commerce sites like Amazon, Flipkart, Myntra, or love watching web series over Netflix and Amazon Prime, one common thing you’ve always noticed, and that is recommendations.

Are you wondering how they recommend you following your choice? …


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The AI+ Training Subscription Plans are now live! With workshops, tutorials, and training sessions on essential data science and AI topics, such as NLP, Machine Learning, AI Fairness and Explainability, Data Engineering, and MLOps, and new content added all the time, you’ll never have to stop learning with our offerings of AI+ subscription content.

[Related: Announcing the AI+ Data Science Live Training Subscription Service]

Below is a sample of the on-demand AI+ subscription content & data science training you can access right now.

Deep Learning (with TensorFlow 2 & PyTorch) with Dr. …


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Pruning is an older concept in the deep learning field, dating back to Yann LeCun’s 1990 paper Optimal Brain Damage. It has recently gained a lot of renewed interest, becoming an increasingly important tool for data scientists. The ability to deploy significantly smaller and faster models has driven most of the attention, all while minimally affecting (and in some cases improving) metrics such as accuracy.

Pruning is the process of removing weight connections in a network to increase inference speed and decrease model storage size. In general, neural networks are very over parameterized. …

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ODSC - Open Data Science

Our passion is bringing thousands of the best and brightest data scientists together under one roof for an incredible learning and networking experience.

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