Autograd: The Best Machine Learning Library You’re Not Using? by Kevin Vu via @Exxactcorp

 If there is a Python library that is emblematic of the simplicity, flexibility, and utility of differentiable programming it has to be Autograd.

This is great and contains code fragments in order to help you explore this with a view to using it.

The Top 10 File Handling Techniques in Python by @ycui01 via @BttrProgramming

 Make working with files easier in Python.

This should give you some great options that might make your file handling a little easier.

WEBINAR: DataRobot Visual AI: See the Big Picture with Automated Computer Vision 30 September 2020

 

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DataRobot Visual AI: See the Big Picture with Automated Computer Vision September 30th, 2020 | 11.00 am EST - 45 min including Q&A Register now DataRobot Automated Machine Learning with Visual AI enables you to work with images just like any other type of data. Behind the scenes, DataRobot automates the preparation, selection, and training of a wide variety of cutting-edge deep learning models, and recommends the best model for your use case. Visual AI instantly brings support for classification and regression use cases with images to the DataRobot Automated Machine Learning product, but also takes things one step further. Our unique offering allows you to use images alongside as many other feature types in your dataset as you like, including numeric, categorical, date, and text features. Join us for an in-depth look at DataRobot’s Automated Machine Learning product with Visual AI. Learn how to innovate in new ways, using diverse data types that provide much broader perspectives to your AI models. What you will learn: Key benefits of Visual AI and automated computer vision Creating a Visual AI project in DataRobot How to prepare your image data for Visual AI Explaining and understanding Visual AI models Register now

Modern Data Science Skills: 8 Categories, Core Skills, and Hot Skills by Gregory Piatetsky via @kdnuggets

We analyze the results of the Data Science Skills poll, including 8 categories of skills, 13 core skills that over 50% of respondents have, the emerging/hot skills that data scientists want to learn, and what is the top skill that Data Scientists want to learn.

This is great for knowing exactly which skills you need to learn and prioritise.

Creating Powerful Animated Visualizations in Tableau by Raji Rai via @TDataScience

 In this post, he explores animated data visualization in Tableau, one of the tool's powerful features for making visualizations appealing and interactive.

If you use Tableau this is definitely a must-read.

WEBINAR: Condition-based Monitoring Analytics Techniques In Action 30 September 2020

 

Data Science Central Webinar Series Event

Condition-based Monitoring Analytics Techniques In Action Join us for this latest DSC Webinar on September 30th, 2020 When it comes to running a successful business, every organization strives to find the most efficient strategy possible. With that being said, it’s important that businesses pick a technique that is reliable and effective as well, especially when dealing with high valued assets. Condition-Based Monitoring (CBM) can provide timely intervention which can significantly increase the lifetime and operational efficiency of high valued assets. It can be the first step to get meaningful analytics on vast amounts of data generated across supply chains and support AI based models to derive value from the data and add analytical maturity. In this latest Data Science Central webinar, Priya Sharma and Paul Venditti will discuss real-world applications of analytical techniques to support condition-based monitoring use cases. Participants will: Understand the importance of operational efficiency Gain access to the latest SAS Event Stream Processing trial, including data sets and pre-loaded projects Learn about real-world applications of analytics techniques to support Condition-based Monitoring use cases Speakers: Priya Sharma, Sr. Data Scientist - SAS Institute Paul Venditti, IoT Principal Industry Consultant - SAS Institute Hosted by: Rafael Knuth, Contributing Editor -- Data Science Central   Title:  Condition-based Monitoring Analytics Techniques In Action Date:  Wednesday, September 30th, 2020 Time:  9:00 AM - 10:00 AM PDT   Space is limited so please register early: Reserve your Webinar seat now

WEBINAR: Modernizing Your Data Automation Strategy for the Cloud 23 September 2020

 

Data Science Central Webinar Series Event

Modernizing Your Data Automation Strategy for the Cloud Join us for this latest DSC Webinar on September 23rd, 2020 Every organization is a new data challenge. Do you start with a strategy of front-end data analysis to guide your priorities or use data on the backend to track past performance? How do you provide a repeatable, scalable, and accurate automated data analytics pipeline? How do you turn non-technical savvy business professionals into data-led individuals? In this latest Data Science Central webinar, you’ll hear from analytics veterans on how their teams design integrated modern data stacks in the cloud and turn high volumes of unfamiliar data with varying levels of quality and format into an automated and accurate data pipeline for a Cloud Data Warehouse. This automation saves analytics teams hours of work and drives measurable and expected data-led business benefits. You will: Understand how proactive data exploration informs business priorities Hear various data horror stories organizations face with data disparity, messy data, inconsistent data, etc. Learn what it takes to empower non-technical analysts to turn messy data into pristine insights Understand what a streamlined integration solution option (such as Google Cloud analytics) would look like for your cloud data warehouse  Learn new ways to prepare and clean dozens of sources and millions of rows of raw data Speakers: Bertrand Cariou,Sr. Director Product - Trifacta Zake Pike,VP Data Strategy & Marketing Analytics - Callahan Agency Hosted by: Sean Welch, Host and Producer -- Data Science Central   Title:  Modernizing Your Data Automation Strategy for the Cloud Date:  Wednesday, September 23rd, 2020 Time:  9:00 AM - 10:00 AM PDT   Space is limited so please register early: Reserve your Webinar seat now

WEBINAR: Lakehouse: The future of cloud data platforms - 2 parts 22 and 29 September 2020

 

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September 22nd & 29th         09:00 am - 11:00 am PT

Hi, The Lakehouse pattern is emerging as the successor to the data warehouse and data lake because it combines the advantages of both - with none of the shortcomings. What is Databricks' vision for Lakehouse? You're invited to a 2-part series where you'll learn what's driving the development of the Lakehouse pattern and Delta Lake. Part I: Lakehouse: The New Approach to Managing Data Part II: Leveraging Delta Lake for High-Performance SQL and Analytics You'll learn: The challenges facing managing data in the cloud Why Databricks' vision for Lakehouse sets it apart How Delta Lake and Delta Engine bring high-performance to SQL and analytics

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How he Completed Udacity’s Data Scientist Nanodegree in 1 Month by Nouman via @Medium

Learn how to maximize your learning with minimum time by tried and tested techniques.

This could be very useful to you are appears to me to be very useful advice.

WEBINAR: Modernizing Your Data Automation Strategy for the Cloud 23 September 2020

 

Data Science Central Webinar Series Event

Modernizing Your Data Automation Strategy for the Cloud Join us for this latest DSC Webinar on September 23rd, 2020 Every organization is a new data challenge. Do you start with a strategy of front-end data analysis to guide your priorities or use data on the backend to track past performance? How do you provide a repeatable, scalable, and accurate automated data analytics pipeline? How do you turn non-technical savvy business professionals into data-led individuals? In this latest Data Science Central webinar, you’ll hear from analytics veterans on how their teams design integrated modern data stacks in the cloud and turn high volumes of unfamiliar data with varying levels of quality and format into an automated and accurate data pipeline for a Cloud Data Warehouse. This automation saves analytics teams hours of work and drives measurable and expected data-led business benefits. You will: Understand how proactive data exploration informs business priorities Hear various data horror stories organizations face with data disparity, messy data, inconsistent data, etc. Learn what it takes to empower non-technical analysts to turn messy data into pristine insights Understand what a streamlined integration solution option (such as Google Cloud analytics) would look like for your cloud data warehouse  Learn new ways to prepare and clean dozens of sources and millions of rows of raw data Speakers: Bertrand Cariou,Sr. Director Product - Trifacta Zake Pike,VP Data Strategy & Marketing Analytics - Callahan Agency Hosted by: Sean Welch, Host and Producer -- Data Science Central   Title:  Modernizing Your Data Automation Strategy for the Cloud Date:  Wednesday, September 23rd, 2020 Time:  9:00 AM - 10:00 AM PDT   Space is limited so please register early: Reserve your Webinar seat now

What the Modern Data Team Looks Like and Where It's Headed by Ed Thompson via @TDWI

 To tackle the challenges and advanced use cases ahead, companies need to rethink the structure of their data teams.

An interesting take on who is necessary for a data team to be successful. You can use this as a starting point as to how you could position yourself in order to work in a team like this. 

3 Tips to Recognise Hidden Costs of the Cloud by William McKnight via @InformationWeek

 Cloud usage and demand has spiked, but businesses must be wary of hidden cloud "gotchas" when it comes to modernizing and scaling their cloud infrastructure.

Some good points to think about and balance out depending on the performance you want and the cost you think it is worth (or your business can stand).

I would also suggest that there are other factors to include in your calculation such as the speed of support including the hours covered. I would also recommend you try to go for a cloud provider who are well established and reliable.

The One Programming Language to Rule Them All @EricGirouard6 via @BttrProgramming

 There's a language that sits a layer beneath code, and it yearns to be explored.

Eric has it exactly right - if you can get the logic right and write it out correctly then you can write good code in any language after learning the basics. In my previous roles in data architecture, I could tell developers how to load and transform data without being great at writing code in their chosen language because I could write the logic correctly.

The Beginner’s Guide to Pydantic by Ng Wai Foong via @BttrProgramming

 A Python package to parse and validate data.

This looks really useful and well worth investigation and some experimentation. Certainly I only did the basics with it but can already see the value in it's use.

My Top 4 Patterns for Writing Simple Code by @dangoslen via @gitconnected

 Use these patterns on a daily basis to solve coding problems and write simple code.

Some great tips from Dan in this and I think if you try them it will make your code better.

WEBINAR: Critical Behaviours of Data-Driven Companies 17 September 2020

 

Data Science Central Webinar Series Event

Critical Behaviors of Data-Driven Companies Join us for this latest DSC Webinar on September 17th, 2020 Suddenly every company is a data company. Yet companies are failing at realizing value from their data investments. Data on its own cannot help you succeed. Gartner predicts by 2021, CIOs will be responsible for changing culture from a barrier to an accelerator. It requires the collective energy and support of a community that can start to tip the scales and make real cultural change. Calling all data leaders, join us as we dig into the data to identify the best practices of how leaders at some of our largest customers are successfully leading the charge to put data at the center of their organization's decision making. Attend this webinar to learn how resilient organizations put data in the hands of their people and solve challenges together. Speaker: Ashley Howard Neville, Senior Technical Evangelist -- Tableau Hosted by: Sean Welch, Host and Producer -- Data Science Central   Title:  Critical Behaviors of Data-Driven Companies Date:  Thursday, September 17th, 2020 Time:  9:00 AM - 10:00 AM PDT   Space is limited so please register early: Reserve your Webinar seat now

Amazon Wants to Make You an ML Practitioner— For Free by @anthonyagnone via @TDataScience

 The tech giant plans to speed up ML proficiency by publicizing its long-internal material.

This sounds like the kind of gift you can't refuse to take advantage of - therefore my opinion is to go there and take a look - at the least you will get an insight into how they do things, at the most, you can get some free training.