KDnuggets
DECEMBER 5, 2019
Increase your confidence to perform data cleaning with a broader perspective of what datasets typically look like, and follow this toolbox of code snipets to make your data cleaning process faster and more efficient.
FineReport
DECEMBER 5, 2019
The year is coming to an end, and if any of you work in the relevant departments of the company’s financial accounting, you must be busy preparing various annual financial statements. Especially for beginners who have just entered this field, how to design reports to clearly show the financial analysis and business operation status is a challenge. In the financial statements, compared to traditional dense tables, charts can visualize the data and display the data more intuitively, making the com
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KDnuggets
DECEMBER 5, 2019
While AI may be the new electricity significant challenges remain to realize AI potential. Here we examine why data scientists and teams can’t rely on software engineering tools and processes for machine learning.
Data Science 101
DECEMBER 5, 2019
Data Analysis as a career. Do you know which the sexiest job of the 21st Century is? As per the Harvard Business Review , it is Data Scientist. Though, technically, Data Scientists are a few notches above Data Analysts, becoming a Data Analyst makes it easier for you to become a Data Scientist. Picking a career is one of the most critical decisions that we need to take.
Speaker: Timothy Chan, PhD., Head of Data Science
Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.
KDnuggets
DECEMBER 5, 2019
Deep learning models are revolutionizing the business and technology world with jaw-dropping performances in one application area after another. Read this post on some of the numerous composite technologies which allow deep learning its complex nonlinearity.
John Wheeler
DECEMBER 5, 2019
This year, Gartner launched its Emerging Technologies and Trends (ETT) research agenda dedicated to helping our Technology & Service Provider (TSP) clients improve their offerings. As we wrap-up 2019, let’s look at the top 10 Gartner emerging technologies client topics addressed by our analysts. The list of topics is derived from client inquiry calls that our ETT analysts have fielded over our 12 month research year ended November 30, 2019.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
MLWhiz
DECEMBER 5, 2019
Object Detection is a helpful tool to have in your coding repository. It forms the backbone of many fantastic industrial applications. Some of them being self-driving cars, medical imaging and face detection. In my last post on Object detection, I talked about how Object detection models evolved. But what good is theory, if we can’t implement it? This post is about implementing and getting an object detector on our custom dataset of weapons.
Smart Data Collective
DECEMBER 5, 2019
It goes without saying that analytics is a data-driven method that has existed with a history of being misunderstood since the beginning of its introduction to the world. Concepts of the same data-centred nature as analytics are concepts that are often misrepresented or otherwise misunderstood because they are relatively fresh innovations in comparison to the more established traditional concepts that the world has grown exceedingly familiar with over the years.
ScienceSoft
DECEMBER 5, 2019
Explore the valuable benefits of customer churn analysis and study how to calculate customer attrition.
Speaker: David Bard, Principal at VP Product Coaching
In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.
3AG Systems
DECEMBER 5, 2019
Placeholder for the upcoming Power BI OEE dashboard Read More
DataRobot
DECEMBER 5, 2019
AI has taken the world by storm. Organizations around the world and across industries are ready to embed AI across their teams and business functions. Yet, despite the increased adoption of AI, recent research from IDC has found “that half of AI projects fail for one in four companies on average,” and “the two leading reasons for an AI project failing are a lack of required skills and unrealistic expectations.” ( Artificial Intelligence Global Adoption Trends and Strategies, June 2019).
Dataiku
DECEMBER 5, 2019
On November 20th, we held our inaugural EGG conference in San Francisco to put the spotlight on the people spearheading the AI revolution in the Bay Area. This one-day event dove into how data-driven technology is changing the world as we know it – from how we rideshare to how we produce music to how we accelerate doing good for society.
Data Virtualization
DECEMBER 5, 2019
Illumina, a San Diego-based biotech company, tasked the company that I work for, Analytica Consulting, with creating a Denodo data virtualization layer to support the data access needs of Illumina’s Global Quality Operations department.
Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage
Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.
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