Industry AI, Analytics, Machine Learning, Data Science Predictions for 2020
KDnuggets
DECEMBER 16, 2019
Predictions for 2020 from a dozen innovative companies in AI, Analytics, Machine Learning, Data Science, and Data industry.
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KDnuggets
DECEMBER 16, 2019
Predictions for 2020 from a dozen innovative companies in AI, Analytics, Machine Learning, Data Science, and Data industry.
Cloudera
SEPTEMBER 10, 2020
Cloudera has been named a Leader in The Forrester Wave : Notebook-Based Predictive Analytics and Machine Learning, Q3 2020. For enterprise machine learning teams, this means having the right platform, tools, and processes that streamline end-to-end ML to tackle once-impossible business challenges effectively and at scale.
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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications
From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success
Understanding User Needs and Satisfying Them
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know
Knowledge Hut
JANUARY 16, 2024
Embarking on a journey in the highly demanded field of Machine Learning (ML) opens doors to diverse career opportunities. The avenues to acquire the essential skills for a career in ML are plentiful, ranging from Machine Learning online courses and certifications to formal degree programs. What Is Machine Learning?
Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications
From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success
Understanding User Needs and Satisfying Them
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know
U-Next
MARCH 1, 2023
billion in 2020, is predicted to grow to $152.61 It’s to make the computer learn things and make decisions in a way similar to that of a human. Creating ANNs in Machine Learning involves standard programming computers to act like networked brain cells. billion by 2030, exhibiting a CAGR of 26.7%
The Pragmatic Engineer
APRIL 21, 2024
Evan joined OpenAI in 2020 – two years before ChatGPT launched – and has led the Applied engineering team as ChatGPT launched and scaled. The engineering, product, and design organization that makes and scales these products is called "Applied," and was founded in 2020 when GPT-3 was released.
KDnuggets
DECEMBER 11, 2019
We asked leading experts - what are the most important developments of 2019 and 2020 key trends in AI, Analytics, Machine Learning, Data Science, and Deep Learning? This blog focuses mainly on technology and deployment.
KDnuggets
MARCH 13, 2020
This articles outlines 5 sets of tools every lazy full-stack data scientist should use.
KDnuggets
MARCH 9, 2020
Upgrading your machine learning, AI, and Data Science skills requires practice. Finding good datasets to work with can be challenging, so this article discusses more than 20 great datasets along with machine learning project ideas for you to tackle today.
Cloudera
NOVEMBER 26, 2020
From all corners of the globe, our customers have delivered incredible amounts of innovation in the enterprise, while overcoming many of the challenges and disruptions 2020 has brought. To learn more about the Data Impact Awards, our judging panel, and winners please visit: [link] . Congrats again to the Experian team!
KDnuggets
JANUARY 9, 2020
This book is thought for beginners in Machine Learning, that are looking for a practical approach to learning by building projects and studying the different Machine Learning algorithms within a specific context.
KDnuggets
JANUARY 17, 2020
This summary overviews the keynote at TensorFlow World by Jeff Dean, Head of AI at Google, that considered the advancements of computer vision and language models and predicted the direction machine learning model building should follow for the future.
KDnuggets
DECEMBER 9, 2019
As we say goodbye to one year and look forward to another, KDnuggets has once again solicited opinions from numerous research & technology experts as to the most important developments of 2019 and their 2020 key trend predictions.
Cloudera
JULY 21, 2021
OVO – 2020’s Data Champion award winner . Launched in January 2020, this engine enables access to customer data in real-time using advanced, intelligent data analytics and machine learning to personalize the customer product interaction experience. Within the first six months of deployment, UnCover proved to be 7.9
Knowledge Hut
FEBRUARY 27, 2023
With rapid technological advancements, machine learning has gained much traction over the last few years, facilitating automation, reducing costs, and enhancing efficiency. Consequently, machine learning jobs are facing a massive surge in demand. What is Machine Learning?
KDnuggets
JANUARY 21, 2020
Here are some AI-related books that I’ve read and recommend for you to add to your 2020 reading list!
KDnuggets
MARCH 9, 2020
Also: Linear to Logistic Regression, Explained Step by Step; Trends in Machine Learning in 2020; Tokenization and Text Data Preparation with TensorFlow & Keras; The Death of Data Scientists — will AutoML replace them?
KDnuggets
JANUARY 6, 2020
This article is an overview of H2O, a scalable and fast open-source platform for machine learning. We will apply it to perform classification tasks.
ProjectPro
NOVEMBER 30, 2021
We all know this , so you might have heard terms like Artificial Intelligence (AI), Machine Learning, Data Mining, Neural Networks, etc. We all are aware of the wonders done by Data mining and Machine Learning. Table of Contents Data Science vs Data Mining vs Machine Learning What is Data Science?
KDnuggets
MARCH 8, 2020
For the international women's day, we feature resources to help more women enter and succeed in AI, Big Data, Data Science, and Machine Learning fields.
KDnuggets
JANUARY 8, 2020
The standard job description for a Data Scientist has long highlighted skills in R, Python, SQL, and Machine Learning. With the field evolving, these core competencies are no longer enough to stay competitive in the job market.
KDnuggets
MARCH 13, 2020
I train a series of Machine Learning models using the iris dataset, construct synthetic data from the extreme points within the data and test a number of Machine Learning models in order to draw the decision boundaries from which the models make predictions in a 2D space, which is useful for illustrative purposes and understanding on how different (..)
KDnuggets
MARCH 20, 2020
We have compiled a list of some of the best (and free) machine learning books that will prove helpful for everyone aspiring to build a career in the field.
KDnuggets
MARCH 18, 2020
Support Vector Machines (SVMs) are powerful for solving regression and classification problems. You should have this approach in your machine learning arsenal, and this article provides all the mathematics you need to know -- it's not as hard you might think.
ProjectPro
JANUARY 20, 2022
“Humans can typically create one or two good models a week; machine learning can create thousands of models a week.” In recent years, AI and Machine Learning have transformed the world, making it smarter and faster. We have put together the ideal artificial intelligence and machine learning path for you.
ProjectPro
FEBRUARY 25, 2022
Online fraud cases using credit and debit cards saw a historic upsurge of 225 percent during the COVID-19 pandemic in 2020 as compared to 2019. As per the NCRB report, the tally of credit and debit card fraud stood at 1194 in 2020 compared to 367 in 2019. lakh crore being syphoned off. How does Credit Card Fraud work?
Cloudera
JANUARY 13, 2021
2020 was a year of immense change and disruption. Despite the challenges, 2020 also provided positive opportunities for forward leaps to be made in the realm of digital transformation. To learn more about UOB please visit: [link] .
ProjectPro
OCTOBER 27, 2021
Wondering how to implement machine learning in finance effectively and gain valuable insights? This blog presents the topmost useful machine learning applications in finance to help you understand how financial markets thrive by adopting AI and ML solutions.
U-Next
SEPTEMBER 23, 2022
Introduction To Machine Learning . According to the Bureau of Labor Statistics , computer and information research jobs, including Data Scientist positions, are projected to grow 22% between 2020 and 2030. . What Is Machine Learning? .
ProjectPro
SEPTEMBER 6, 2021
The Machine Learning market is anticipated to be worth $30.6 Machine Learning plays a vital role in the design and development of such solutions. Machine learning is everywhere. Machine Learning has a wide range of use cases and applications in this area. Billion in 2024.
ProjectPro
OCTOBER 14, 2021
Linear and logistic regression models in machine learning mark most beginners’ first steps into the world of machine learning. Table of Contents 15 Regression Projects in Machine Learning Regression Projects in Finance: Cha-ching! Regression Projects in Healthcare: Health is Wealth!
Cloudera
NOVEMBER 24, 2020
This year, OVO has done just that, setting itself apart to win the Data Champions category at our 2020 Data Impact Awards. To learn more about the Data Impact Awards, our judging panel, and winners please visit: [link]. The post 2020 Data Impact Award Winner Spotlight: OVO (PT VISIONET INTERNASIONAL) appeared first on Cloudera Blog.
KDnuggets
MARCH 23, 2020
TensorFlow Quantum allow data scientists to build machine learning models that work on quantum architectures.
ProjectPro
OCTOBER 25, 2021
Will machine learning replace the jobs of doctors or instead give us better health in the coming years? Some researches and studies have shown that machines surpass humans in the diagnosis of diseases. No doubt, machine learning algorithms do better at disease diagnosis, but it is still far from replacing doctors.
KDnuggets
MARCH 11, 2020
While building a machine learning model might be the fun part, it won't do much for anyone else unless it can be deployed into a production environment.
KDnuggets
JANUARY 2, 2020
In this use case, available to the public on GitHub, we’ll see how a data scientist, project manager, and business lead at a retail grocer can leverage automated machine learning and Azure Machine Learning service to reduce product overstock.
Monte Carlo
MARCH 4, 2021
Machine learning has emerged as a must-have tool for any serious data team: augmenting processes, generating smarter and more accurate predictions, and generally improving our ability to make use of data. For the modern business, the appetite for machine learning has never been stronger. But why does this happen?
U-Next
SEPTEMBER 23, 2022
trillion dollars since 2020. Due to the technological revolution, Machine Learning, Artificial Intelligence, and Data Science have changed our day-to-day lives. . Data Science, Artificial Intelligence, and Machine Learning are sometimes used interchangeably. What is Machine Learning? . trillion U.S.
KDnuggets
MARCH 23, 2020
This is a short introduction to Made With ML, a useful resource for machine learning engineers looking to get ideas for projects to build, and for those looking to share innovative portfolio projects once built.
Monte Carlo
MARCH 16, 2021
In this article , we walk through how you can create your own data monitors from scratch and leverage basic principles of machine learning to apply them at scale across your data pipelines. At a high level, machine learning is instrumental for data observability and data monitoring at scale.
KDnuggets
MARCH 12, 2020
A new optimization framework helps to incorporate fairness constraints in machine learning models.
KDnuggets
MARCH 11, 2020
Also: Recreating Fingerprints using Convolutional Autoencoders; A simple and interpretable performance measure for a binary classifier; Resources for Women in AI, Data Science, and Machine Learning; Trends in Machine Learning in 2020; A Crash Course in Game Theory for Machine Learning; and much more.
KDnuggets
MARCH 13, 2020
After spending a lot of time thinking about the paths that software companies take toward ML maturity, this framework was created to follow as you adopt ML and then mature as an organization.
AltexSoft
DECEMBER 15, 2021
Machine learning evangelizes the idea of automation. Citing Microsoft’s principal researcher Rich Caruana, ‘75 percent of machine learning is preparing to do machine learning… and 15 percent is what you do afterwards.’ This leaves only 10 percent of the entire flow automated by ML models. MLOps cycle.
Christophe Blefari
MARCH 15, 2024
RAG is the new trend — RAG means retrieval-augmented generation, it has been coined in 2020 ( see more ) and let's you ground AI models with facts fetched from external sources. The State of competitive machine learning — a study about ML competition platforms. Give a lot of insights on the market.
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